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What helminth genomes have taught us about parasite evolution

Published online by Cambridge University Press:  08 December 2014

MAGDALENA ZAROWIECKI*
Affiliation:
Parasite Genomics, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, UK
MATT BERRIMAN
Affiliation:
Parasite Genomics, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, UK
*
*Corresponding author: Parasite Genomics, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, UK. E-mail: [email protected]
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Summary

The genomes of more than 20 helminths have now been sequenced. Here we perform a meta-analysis of all sequenced genomes of nematodes and Platyhelminthes, and attempt to address the question of what are the defining characteristics of helminth genomes. We find that parasitic worms lack systems for surface antigenic variation, instead maintaining infections using their surfaces as the first line of defence against the host immune system, with several expanded gene families of genes associated with the surface and tegument. Parasite excretory/secretory products evolve rapidly, and proteases even more so, with each parasite exhibiting unique modifications of its protease repertoire. Endoparasitic flatworms show striking losses of metabolic capabilities, not matched by nematodes. All helminths do however exhibit an overall reduction in auxiliary metabolism (biogenesis of co-factors and vitamins). Overall, the prevailing pattern is that there are few commonalities between the genomes of independently evolved parasitic worms, with each parasite having undergone specific adaptations for their particular niche.

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © Cambridge University Press 2014

INTRODUCTION

Parasitic worms (helminths) cause some of the most devastating threats to human health and livelihoods. Soil-transmitted helminths (STHs) cause neglected tropical diseases affecting >1 billion people worldwide (Bethony et al. Reference Bethony, Brooker, Albonico, Geiger, Loukas, Diemert and Hotez2006), blood flukes (schistosomes) infect more than 200 million people (Steinmann et al. Reference Steinmann, Keiser, Bos, Tanner and Utzinger2006) and the global tapeworm disease burden has been estimated at 1 million disability-adjusted life years (Budke et al. Reference Budke, White and Garcia2009). Apart from causing human mortality and disability, parasitic worm infections also threaten food security; larval tapeworm infections (echinococcosis) of livestock cause annual losses of US$2 billion in US cattle alone (Torgerson and Macpherson, Reference Torgerson and Macpherson2011), and US$80 billion of annual crop damage is caused by plant parasitic nematodes (Nicol et al. Reference Nicol, Turner, Coyne, den Nijs, Hockland and Maafi2011). Next generation DNA sequencing is now providing an unparalleled opportunity to deepen our understanding of how parasites’ genomes have been affected by adaptation to parasitism. This review will conduct a meta-analysis of the more than 30 genome sequences from nematodes and flatworms currently available. We will discuss the progress of genomics in parasitic worms, and review any common themes in genome structure and content of parasitic worms.

Humans are parasitized by two major groups of parasitic worms; the Nematoda (roundworms) and Platyhelminthes (flatworms). Within flatworms endoparasitism is believed to have arisen only once (Littlewood et al. Reference Littlewood, Rohde and Clough1999; Hahn et al. Reference Hahn, Fromm and Bachmann2014), with all species being parasites of animals, typically with one invertebrate and one vertebrate host (Fig. 1, Supplementary Table 1). In nematodes, both plant and animal parasites have evolved in several lineages, infecting a large spectrum of hosts (Blaxter et al. Reference Blaxter, De Ley, Garey, Liu, Scheldeman, Vierstraete, Vanfleteren, Mackey, Dorris, Frisse, Vida and Thomas1998; Dieterich and Sommer, Reference Dieterich and Sommer2009; Blaxter and Koutsovoulos, Reference Blaxter and Koutsovoulos2014). Searching for common themes is challenging; both because of the few instances parasitism has evolved in worms, and also because the diversity of hosts and niches that parasites occupy (Fig. 1). At the morphological level it is apparent that there are some common themes between even very disparate parasitic groups. For instance, the simplification of external morphology (reduction of pigmentation, simplified body shape), and reduction of sensory inputs (visual and chemosensory organs, and the capability of neuronal processing of those inputs). It could thus be reasonable to hypothesize that parasitic worms would exhibit genomic regression mirroring their morphological regression. All parasites would also by necessity have to evolve methods for host invasion and host immune system evasion, and many exhibit increased reproductive output.

Fig. 1. Helminth phylogenies show that animal and plant parasitism has evolved on several occasions in nematodes, exhibiting a wide variety of hosts and parasitic strategies. The species name is followed by the year that genome was published, and the species mode of parasitism.

On the other hand, many adaptations to parasitism are more specific, such as the metacestode in some tapeworms (a whole new life stage) and the stichosome in whipworms (a long slender organ for intracellular feeding from host-cells). Adaptation might in some cases be divergent instead of convergent, for instance if each parasite adapt their metabolism to fit the nutrients available in the host, but the metabolite availability varies greatly between hosts (e.g. between invertebrates and vertebrates, or woody and herbaceous plants). Even when adaptation occurs to common environments the genomic underpinnings could be different.

We thus have two alternative hypotheses: (1) that because of the diversity of evolutionary starting points (proto-parasites), and the hosts to which they adapt, each independently evolved parasitic clade has unique adaptations in its genomes and gene content; (2) that there are common genomic adaptations in independently evolved parasitic worms. These hypotheses are not mutually exclusive, as both could be true for various systems. However, whereas the latter scenario (common adaptations) has been repeatedly shown for morphological features and life-history traits (Quicke and Belshaw, Reference Quicke and Belshaw1999; Poulin, Reference Poulin2011), there are few (if any) examples of genomic convergence amongst helminths, although it is known to have occurred in many organisms (Christin et al. Reference Christin, Weinreich and Besnard2010). We will here review the evidence of convergent and unique adaptations respectively, in currently available helminths genomes.

Nematode genomes are diverse

The first animal genome ever published was from the free-living nematode Caenorhabditis elegans, and it was accompanied by an ambitious programme for functional characterization of genes (C. elegans Sequencing Consortium, 1998 ). That genome remains the point of reference for all subsequent genome sequencing efforts of nematodes, free-living and parasites alike. It has been joined by the genomes of the other free-living nematodes Caenorhabditis briggsae (Stein et al. Reference Stein, Bao, Blasiar, Blumenthal, Brent, Chen, Chinwalla, Clarke, Clee, Coghlan, Coulson, D'Eustachio, Fitch, Fulton, Fulton, Griffiths-Jones, Harris, Hillier, Kamath, Kuwabara, Mardis, Marra, Miner, Minx, Mullikin, Plumb, Rogers, Schein, Sohrmann and Spieth2003) and Panagrellus redivivus (Srinivasan et al. Reference Srinivasan, Dillman, Macchietto, Heikkinen, Lakso, Fracchia, Antoshechkin, Mortazavi, Wong and Sternberg2013).

When the first genome of a parasitic nematode was sequenced – the filarial nematode Brugia malayi – the ~350 million years of separate evolution from C. elegans and C. briggsae meant that there were 3979 gene clusters shared between C. elegans, C. briggsae, B. malayi and a fruit fly (representing animal core proteins), but only 174 clusters which had members of all nematode species (ubiquitous and nematode specific) (Ghedin et al. Reference Ghedin, Wang, Spiro, Caler, Zhao, Crabtree, Allen, Delcher, Guiliano, Miranda-Saavedra, Angiuoli, Creasy, Amedeo, Haas, El-Sayed, Wortman, Feldblyum, Tallon, Schatz, Shumway, Koo, Salzberg, Schobel, Pertea, Pop, White, Barton, Carlow, Crawford and Daub2007). Further genome sequencing of nematodes has reinforced this understanding that nematode genomic diversity is vast, and that multiple reference nematode genomes are needed (Kumar et al. Reference Kumar, Koutsovoulos, Kaur and Blaxter2012).

Soon after that sequences of plant-parasitic nematode genomes started to emerge: root-knot nematodes Meloidogyne incogn ita (Abad et al. Reference Abad, Gouzy, Aury, Castagnone-Sereno, Danchin, Deleury, Perfus-Barbeoch, Anthouard, Artiguenave, Blok, Caillaud, Coutinho, Dasilva, De Luca, Deau, Esquibet, Flutre, Goldstone, Hamamouch, Hewezi, Jaillon, Jubin, Leonetti, Magliano, Maier, Markov, McVeigh, Pesole, Poulain and Robinson-Rechavi2008) and Meloidogyne hapla (Opperman et al. Reference Opperman, Bird, Williamson, Rokhsar, Burke, Cohn, Cromer, Diener, Gajan, Graham, Houfek, Liu, Mitros, Schaff, Schaffer, Scholl, Sosinski, Thomas and Windham2008), the pine-wilt nematode Bursaphelenchus xylophilus (Kikuchi et al. Reference Kikuchi, Cotton, Dalzell, Hasegawa, Kanzaki, McVeigh, Takanashi, Tsai, Assefa, Cock, Otto, Hunt, Reid, Sanchez-Flores, Tsuchihara, Yokoi, Larsson, Miwa, Maule, Sahashi, Jones and Berriman2011) and more recently the potato cyst nematode Globodera pallida (Cotton et al. Reference Cotton, Lilley, Jones, Kikuchi, Reid, Thorpe, Tsai, Beasley, Blok, Cock, Eves-van den Akker, Holroyd, Hunt, Mantelin, Naghra, Pain, Palomares-Rius, Zarowiecki, Berriman, Jones and Urwin2014). Sequencing the very minimalist genome of M. hapla, with 5000 fewer genes than C. elegans (Opperman et al. Reference Opperman, Bird, Williamson, Rokhsar, Burke, Cohn, Cromer, Diener, Gajan, Graham, Houfek, Liu, Mitros, Schaff, Schaffer, Scholl, Sosinski, Thomas and Windham2008), raised the possibility that parasite genomes might be smaller and have fewer genes than those of free-living species. However, as the number of sequenced genomes has increased, the theory has been short-lived, with genome size and organization of parasitic helminths being just as diverse as those of free-living species (Table 1), as also observed previously (Bird et al. Reference Bird, Jones, Opperman, Kikuchi and Danchin2014).

Table 1. Summary of sequenced worm genomes

The statistics are extracted from the genome papers, and may not correspond with the data utilized, or statistics reported by other sources.

Type of parasitism: I, invertebrate host; V, vertebrate host; P, plant parasitic; F, free-living.

The necromenic species Pristionchus pacificus remains inactive inside the host until the host dies, so its genome may offer key pieces of the puzzle in understanding the evolution of parasitism (Dieterich et al. Reference Dieterich, Clifton, Schuster, Chinwalla, Delehaunty, Dinkelacker, Fulton, Fulton, Godfrey, Minx, Mitreva, Roeseler, Tian, Witte, Yang, Wilson and Sommer2008). The P. pacificus genome has been followed by those of the more active entomopathogenic parasites Heterorhabditis bacteriophora (killing its insect host by regurgitating toxic bacteria into its body cavity) (Bai et al. Reference Bai, Adams, Ciche, Clifton, Gaugler, Kim, Spieth, Sternberg, Wilson and Grewal2013) and Romanomermis culicivorax (eating its mosquito host from the inside, before escaping by rupturing the host cuticle) (Schiffer et al. Reference Schiffer, Kroiher, Kraus, Koutsovoulos, Kumar, Camps, Nsah, Stappert, Morris, Heger, Altmuller, Frommolt, Nurnberg, Thomas, Blaxter and Schierenberg2013), giving us an insight into very diverse parasitic niches. The characterized genomes of animal parasites now also includes more than a dozen species of medical and veterinary importance, including the large roundworm (Ascaris suum), the barber's pole worm (Haemonchus contortus), the dog heartworm (Dirofilaria immitis) and the human hookworm (Necator americanus) (Table 1). Available pre-publication are the genomes of Strongyloides ratti, Onchocerca volvulus, and the filarial nematodes Acanthocheilonema viteae, Litomosoides sigmodontis and Onchocerca ochengi (on WormBase and www.nematodes.org).

Flatworm genomes are reduced

Although ectoparasitism has probably evolved several times within flatworms (phylum Platyhelminthes), there is broad consensus that all endoparasitic flatworms are monophyletic (Littlewood et al. Reference Littlewood, Rohde and Clough1999; Hahn et al. Reference Hahn, Fromm and Bachmann2014). Most closely related to some ectoparasitic parasites (monogeneans), endoparasitic Platyhelminthes form two separate clades; Trematoda (flukes) and Cestoda (tapeworms) (Fig. 1) (Littlewood et al. Reference Littlewood, Rohde and Clough1999). The members of these endoparasitic clades exhibit some striking examples of morphological regression, with the most extreme examples of some tapeworms having lost a gut, light-sensory organs, pigmentation and all free-living life stages, all of which are thought to have been present in their ancestors.

Flatworms belong to the super-phylum Lophotrochozoa, which also includes molluscs, earthworms and other less well-known phyla. For this group of animals there is a lack of highly finished and well-characterized reference genome, equivalent to C. elegans in nematodes. This provides an obstacle to understanding which genes are parasite-specific, pan-lophotrochozoan or pan-Platyhelminth. In fact, the first lophotrochozoan genomes ever characterized were those of parasites; the human blood flukes Schistosoma mansoni and Schistosoma japonicum (Berriman et al. Reference Berriman, Haas, LoVerde, Wilson, Dillon, Cerqueira, Mashiyama, Al-Lazikani, Andrade, Ashton, Aslett, Bartholomeu, Blandin, Caffrey, Coghlan, Coulson, Day, Delcher, DeMarco, Djikeng, Eyre, Gamble, Ghedin, Gu, Hertz-Fowler, Hirai, Hirai, Houston, Ivens and Johnston2009; Zhou et al. Reference Zhou, Zheng, Chen, Zhang, Wang, Guo, Huang, Zhang, Huang, Jin, Dou, Hasegawa, Wang, Zhang, Zhou, Tao, Cao, Li, Vinar, Brejova, Brown, Li, Miller, Blair, Zhong, Chen, Hu, Wang, Zhang and Song2009). These first genomes of schistosomes were followed by more trematodes; Schistosoma haematobium (Young et al. Reference Young, Jex, Li, Liu, Yang, Xiong, Li, Cantacessi, Hall, Xu, Chen, Wu, Zerlotini, Oliveira, Hofmann, Zhang, Fang, Kang, Campbell, Loukas, Ranganathan, Rollinson, Rinaldi, Brindley, Yang, Wang, Wang and Gasser2012), the human liver fluke Clonorchis sinensis (Wang et al. Reference Wang, Chen, Huang, Sun, Men, Liu, Luo, Guo, Lv, Deng, Zhou, Fan, Li, Huang, Hu, Liang, Hu, Xu and Yu2011; Huang et al. Reference Huang, Chen, Wang, Liu, Chen, Guo, Luo, Sun, Mao, Liang, Xie, Zhou, Tian, Lv, Huang, Zhou, Hu, Li, Zhang, Lei, Li, Hu, Liang, Xu, Li and Yu2013), and a re-assembly of S. mansoni (Protasio et al. Reference Protasio, Tsai, Babbage, Nichol, Hunt, Aslett, De Silva, Velarde, Anderson, Clark, Davidson, Dillon, Holroyd, LoVerde, Lloyd, McQuillan, Oliveira, Otto, Parker-Manuel, Quail, Wilson, Zerlotini, Dunne and Berriman2012). More recently, the first genomes of tapeworms (Tsai et al. Reference Tsai, Zarowiecki, Holroyd, Garciarrubio, Sanchez-Flores, Brooks, Tracey, Bobes, Fragoso, Sciutto, Aslett, Beasley, Bennett, Cai, Camicia, Clark, Cucher, De Silva, Day, Deplazes, Estrada, Fernandez, Holland, Hou, Hu, Huckvale, Hung, Kamenetzky, Keane and Kiss2013; Zheng et al. Reference Zheng, Zhang, Zhang, Zhang, Li, Lu, Zhu, Wang, Huang, Liu, Kang, Chen, Wang, Chen, Yu, Gao, Jin, Gu, Wang, Zhao, Shi, Wen, Lin, Jones, Brejova, Vinar, Zhao, McManus, Chen and Zhou2013) and a monogenean (Gyrodactylus salaris) (Hahn et al. Reference Hahn, Fromm and Bachmann2014) were published. Both the S. mansoni and Echinococcus multilocularis genomes have been extensively improved and are mostly assembled into chromosomes. That renders their genomes some of the most correct and complete animal genomes ever published (Table 1). Compared to C. elegans, there is however still a lack of exhaustive functional characterization of genes. Some information is provided by the draft genome of Schmidtea mediterranea with associated RNAi phenotypes and expression patterns (Robb et al. Reference Robb, Ross and Alvarado2008). This free-living flatworm is however in some instances too evolutionarily removed from parasitic flatworms to provide useful functional information.

ESTABLISHING AN INFECTION

The initial invasion of a host is a critical step for parasites, and is underpinned by numerous adaptations. Many parasites have secretions for penetrating host tissues, others rely on host-specific signals for their development. For instance, host bile is a trigger for tapeworms to emerge from the protoscolex (Zheng et al. Reference Zheng, Zhang, Zhang, Zhang, Li, Lu, Zhu, Wang, Huang, Liu, Kang, Chen, Wang, Chen, Yu, Gao, Jin, Gu, Wang, Zhao, Shi, Wen, Lin, Jones, Brejova, Vinar, Zhao, McManus, Chen and Zhou2013). Through genome and transcriptome sequencing, insights into the molecular basis of host colonization are being uncovered.

Secreted proteins can be effectors

A natural place to search for parasite genes involved in host invasion are amongst the parasite excretory/secretory (ES) proteins (Hewitson et al. Reference Hewitson, Grainger and Maizels2009). ES proteins include many types of genes; those with antigenic properties, those allowing the parasite to penetrate, digest or modify host tissue and genes allowing the parasite to defend itself against the host immune system. ES proteins are generally identified by a signal peptide that directs the nascent peptide after translation into the secretory pathway. Although signal peptides can be identified bioinformatically based on their hydrophobicity and putative cleavage motifs, such analyses have limitations: (1) gene models may not be complete and correct at the start, so the predicted gene start may not contain the true signal peptide; (2) proteins without a traditional signal peptide can be secreted through alternative (sometimes unidentified) secretion pathways; (3) signal-peptides do not reveal where in an organism proteins are excreted/secreted, so secreted proteins may remain in intracellular vesicles, or inside parasite body cavities, and never be exposed to the host.

Amongst proteins excreted/secreted externally of the parasite, there are some which do not have the specific purpose of interacting with the host, and some which are true ‘effectors’ – protein secreted by the parasite in order to manipulate the host. Lists of genes that contain ES proteins are commonly published in genome papers, but because of the above restrictions, they only reveal potential effector proteins. For the A. suum and S. haematobium genomes a slightly more ambitious approach was taken, identifying orthologues of known immunomodulatory proteins (Jex et al. Reference Jex, Liu, Li, Young, Hall, Li, Yang, Zeng, Xu, Xiong, Chen, Wu, Zhang, Fang, Kang, Anderson, Harris, Campbell, Vlaminck, Wang, Cantacessi, Schwarz, Ranganathan, Geldhof, Nejsum, Sternberg, Yang, Wang, Wang and Gasser2011; Young et al. Reference Young, Jex, Li, Liu, Yang, Xiong, Li, Cantacessi, Hall, Xu, Chen, Wu, Zerlotini, Oliveira, Hofmann, Zhang, Fang, Kang, Campbell, Loukas, Ranganathan, Rollinson, Rinaldi, Brindley, Yang, Wang, Wang and Gasser2012).

The presence/absence of a signal peptide does not necessarily affect the function of the protein, so modifications of signal peptidases are fairly frequent, and large gene families often contain both secreted and non-secreted members, i.e. a family of S01A proteases in Trichuris muris (Foth et al. Reference Foth, Tsai, Reid, Bancroft, Nichol, Tracey, Holroyd, Cotton, Stanley, Zarowiecki, Liu, Huckvale, Cooper, Grencis and Berriman2014). Some genes commonly have signal peptides (proteases, proteins involved in neuronal signalling and thioredoxins), while a large proportion of ES proteins differ between species (Supplementary Table S2·1). In order to search for commonalities in function between ES products in parasites, we looked for over-represented annotated functions in proteins with signal peptides, using the Gene Ontology (GO) (Ashburner et al. Reference Ashburner, Ball, Blake, Botstein, Butler, Cherry, Davis, Dolinski, Dwight, Eppig, Harris, Hill, Issel-Tarver, Kasarskis, Lewis, Matese, Richardson, Ringwald, Rubin and Sherlock2000), aware that results may be biased by that not all parasite-specific secreted proteins are annotated with GO-terms. We found that there is very little correlation between GO-terms enriched in ES products and the phylogeny of the species, and hardly any GO-terms are significantly enriched in parasites (Supplementary Table S2·2). This suggests that rapid gene family expansions and switches in secretory capacity occur frequently, as adaptations to specific niches. This has previously been noted in plant-parasitic nematodes, where each taxa displays unique modifications of their effectors (Kikuchi et al. Reference Kikuchi, Cotton, Dalzell, Hasegawa, Kanzaki, McVeigh, Takanashi, Tsai, Assefa, Cock, Otto, Hunt, Reid, Sanchez-Flores, Tsuchihara, Yokoi, Larsson, Miwa, Maule, Sahashi, Jones and Berriman2011; Cotton et al. Reference Cotton, Lilley, Jones, Kikuchi, Reid, Thorpe, Tsai, Beasley, Blok, Cock, Eves-van den Akker, Holroyd, Hunt, Mantelin, Naghra, Pain, Palomares-Rius, Zarowiecki, Berriman, Jones and Urwin2014) (for effectors characterized in Meloidogyne, B. xylophilus and G. pallida orthologous genes had been lost, or had lost the signal peptide).

The possible function of secreted proteins can be further characterized by investigating life stage-specific expression; many ES proteases have significantly different expressions between the free-living and parasitic life stages (Schwarz et al. Reference Schwarz, Korhonen, Campbell, Young, Jex, Jabbar, Hall, Mondal, Howe, Pell, Hofmann, Boag, Zhu, Gregory, Loukas, Williams, Antoshechkin, Brown, Sternberg and Gasser2013). The invasion process itself has been investigated in S. mansoni, where 1518 transcripts were differentially expressed between the infective cercariae, and the schistosomula 3 h after infection (Protasio et al. Reference Protasio, Tsai, Babbage, Nichol, Hunt, Aslett, De Silva, Velarde, Anderson, Clark, Davidson, Dillon, Holroyd, LoVerde, Lloyd, McQuillan, Oliveira, Otto, Parker-Manuel, Quail, Wilson, Zerlotini, Dunne and Berriman2012). One hundred and twenty-seven of these proteins are predicted to be secreted, including 18 proteases/protease inhibitors (Supplementary Table S3·1). Likewise, the invasion process in the plant parasitic nematode G. pallida showed 612 upregulated and 831 downregulated genes in the transition of the infective J2 life-stage to the parasitic J3 life-stage, including 117 proteins which were secreted, upregulated during invasion life-stages, and may represent novel effector candidates (Cotton et al. Reference Cotton, Lilley, Jones, Kikuchi, Reid, Thorpe, Tsai, Beasley, Blok, Cock, Eves-van den Akker, Holroyd, Hunt, Mantelin, Naghra, Pain, Palomares-Rius, Zarowiecki, Berriman, Jones and Urwin2014). These are good examples of how genome and RNA-Seq sequencing can produce short-list of genes potentially important for host invasion.

Proteases can aid host invasion

Proteases/peptidases are often indicated to have important roles in parasitism (Hewitson et al. Reference Hewitson, Grainger and Maizels2009), displaying functions in metabolism, signalling and protein degradation. From the amino acid sequence it is very difficult to predict whether a protease orthologue is functional, which substrate it works on, and its function(s) in a living organism. Even very similar proteases can act on distinctly different substrates, and in different cellular contexts. Thus, the proteases encoded by a genome are often reported, but the exact consequences of apparent expansions or losses can rarely be discussed in any great detail, e.g. (Zhou et al. Reference Zhou, Zheng, Chen, Zhang, Wang, Guo, Huang, Zhang, Huang, Jin, Dou, Hasegawa, Wang, Zhang, Zhou, Tao, Cao, Li, Vinar, Brejova, Brown, Li, Miller, Blair, Zhong, Chen, Hu, Wang, Zhang and Song2009; Wang et al. Reference Wang, Chen, Huang, Sun, Men, Liu, Luo, Guo, Lv, Deng, Zhou, Fan, Li, Huang, Hu, Liang, Hu, Xu and Yu2011; Tsai et al. Reference Tsai, Zarowiecki, Holroyd, Garciarrubio, Sanchez-Flores, Brooks, Tracey, Bobes, Fragoso, Sciutto, Aslett, Beasley, Bennett, Cai, Camicia, Clark, Cucher, De Silva, Day, Deplazes, Estrada, Fernandez, Holland, Hou, Hu, Huckvale, Hung, Kamenetzky, Keane and Kiss2013). Investigating the timing of expression can add important clues to the function of proteases. Haemonchus contortus exhibits a remarkable diversity of secreted proteases, some of which are upregulated in the animal parasitic L4 life stage (Laing et al. Reference Laing, Kikuchi, Martinelli, Tsai, Beech, Redman, Holroyd, Bartley, Beasley, Britton, Curran, Devaney, Gilabert, Hunt, Jackson, Johnston, Kryukov, Li, Morrison, Reid, Sargison, Saunders, Wasmuth, Wolstenholme, Berriman, Gilleard and Cotton2013; Schwarz et al. Reference Schwarz, Korhonen, Campbell, Young, Jex, Jabbar, Hall, Mondal, Howe, Pell, Hofmann, Boag, Zhu, Gregory, Loukas, Williams, Antoshechkin, Brown, Sternberg and Gasser2013). In N. americanus, more than 120 protease genes are upregulated in the blood-feeding stage, including many secreted proteases. In A. suum, transcripts encoding secreted peptidases of families M12 (astacins), S9, S33, C1 and C2 are abundantly represented (Jex et al. Reference Jex, Liu, Li, Young, Hall, Li, Yang, Zeng, Xu, Xiong, Chen, Wu, Zhang, Fang, Kang, Anderson, Harris, Campbell, Vlaminck, Wang, Cantacessi, Schwarz, Ranganathan, Geldhof, Nejsum, Sternberg, Yang, Wang, Wang and Gasser2011).

We find that no protease family is significantly associated with parasitism (in all species of parasites) (Supplementary Table S4). However, we note a candidate for a repeatedly utilized protease; the M8 metallopeptidase major surface protease (MSP or GP63). It was first identified in Leishmania promastigotes, where it has been shown to facilitate migration through the host extracellular layer, as well as affecting AK, MAP and IRAK-1 kinase signalling pathways (McGwire et al. Reference McGwire, Chang and Engman2003; Isnard et al. Reference Isnard, Shio and Olivier2012). Expansions of MSPs in helminths was first recognized in S. japonicum (Zhou et al. Reference Zhou, Zheng, Chen, Zhang, Wang, Guo, Huang, Zhang, Huang, Jin, Dou, Hasegawa, Wang, Zhang, Zhou, Tao, Cao, Li, Vinar, Brejova, Brown, Li, Miller, Blair, Zhong, Chen, Hu, Wang, Zhang and Song2009), but exist in all schistosomes, as well as in the nematodes H. contortus and N. americanus (Supplementary Table S5·1, S6; Pfam family Peptidase_M8). Further studies of the functions of helminth MSPs are needed to clarify MSPs functions in helminths.

Overall, there is remarkably little conservation in which protease families are expanded, even within smaller clades (Supplementary Table S4). Even when several parasites exhibit expansions of the same protease family, they are independent occurrences. The relatively high abundance of eukaryotic aspartyl proteases (Pfam Asp, MEROPS A01) in parasitic compared to free-living nematodes is due to several independent expansions, and AO1 is not significantly enriched in parasites overall (Supplementary Table S4). The A01 expansions in B. xylophilus and C. sinensis are also associated with elevated diversity. The family is particularly expanded in H. contortus, where members exist in co-linear clusters, indicating that they arose through recent gene duplication (Laing et al. Reference Laing, Kikuchi, Martinelli, Tsai, Beech, Redman, Holroyd, Bartley, Beasley, Britton, Curran, Devaney, Gilabert, Hunt, Jackson, Johnston, Kryukov, Li, Morrison, Reid, Sargison, Saunders, Wasmuth, Wolstenholme, Berriman, Gilleard and Cotton2013).

While many gene families show a gradual expansion across larger clades, the pattern in proteases is one of local rapid expansions in a small set of species. Genome sequencing has for instance revealed a major expansion in Trichocephalida of S01A trypsin-like proteases (Foth et al. Reference Foth, Tsai, Reid, Bancroft, Nichol, Tracey, Holroyd, Cotton, Stanley, Zarowiecki, Liu, Huckvale, Cooper, Grencis and Berriman2014), an expansion of M13 and A01 families in B. xylophilus (Kikuchi et al. Reference Kikuchi, Cotton, Dalzell, Hasegawa, Kanzaki, McVeigh, Takanashi, Tsai, Assefa, Cock, Otto, Hunt, Reid, Sanchez-Flores, Tsuchihara, Yokoi, Larsson, Miwa, Maule, Sahashi, Jones and Berriman2011), large expansions of C19 in G. pallida, and T03 in C. sinensis (Supplementary Table S4). This pattern holds true across all the observed species, demonstrated by a remarkable lack of correlation between protease abundance and phylogeny exhibited by many families (Fig. 2, Supplementary Table S4). This is in contrast to the other datasets; using a paired t-test (proteases vs Pfam P-value 3·482e-13, proteases vs pathways 2·172e-05, Pfam vs pathways 9·412e-09) we found that the phylogenetic signal is significantly weaker in proteases than in domains and pathway representation. We hypothesize that this may indicate that rather than evolving gradually, evolution in protease gene families is driven by accidental fortuitous encounters with off-target substrates (for instance by host switching, or by changing its localization signal). The acquisition of a new function is then followed by multiple gene duplications and perhaps secondary functional divergence, as indicated by the different expression patterns exhibited by copies of A01 in H. contortus, and S01 in T. muris (Laing et al. Reference Laing, Kikuchi, Martinelli, Tsai, Beech, Redman, Holroyd, Bartley, Beasley, Britton, Curran, Devaney, Gilabert, Hunt, Jackson, Johnston, Kryukov, Li, Morrison, Reid, Sargison, Saunders, Wasmuth, Wolstenholme, Berriman, Gilleard and Cotton2013; Foth et al. Reference Foth, Tsai, Reid, Bancroft, Nichol, Tracey, Holroyd, Cotton, Stanley, Zarowiecki, Liu, Huckvale, Cooper, Grencis and Berriman2014). If the target then disappears (through another environmental switch, or through host adaptation), proteases without a target are rapidly lost again. Closer functional characterization of expanded proteases is needed to ascertain the drivers of this unusual evolutionary pattern.

Fig. 2. The P-value distributions for the phylogenetic signal in the protease, Pfam domain and pathway datasets reveal that the phylogenetic signal is significantly different between all datasets.

MAINTAINING A CHRONIC INFECTION

Many parasitic worms can live within their host for decades, without getting expelled, and without causing excessive pathology. Recorded cases include patients with more than 30 years of S. mansoni infection (Harris et al. Reference Harris, Russell and Charters1984), and a record 53 years for E. granulosus infection (Spruance, Reference Spruance1974). While many single-cell parasites can maintain infections by antigenic variation, there is little evidence for that in helminths (see below). There is however no doubt that helminths can efficiently manipulate the host immune system; inducing an overall suppression of the immune system, inducing strong regulatory T (TReg)-cell activity, and a relative increase of TH2 immune response to TH1 response (Maizels and Yazdanbakhsh, Reference Maizels and Yazdanbakhsh2003). This allows the parasite to both minimize the inflammation caused, and avoid pathology from developing, resulting in an uneasy truce where the hosts efforts to expel the parasite decreases and infection becomes chronic.

Absence of classical antigenic variation

For some bacteria, and single-cell parasites such as Trypanosoma and Plasmodium, the genome structure plays a central role in parasitism (Barry et al. Reference Barry, Marcello, Morrison, Read, Lythgoe, Jones, Carrington, Blandin, Bohme, Caler, Hertz-Fowler, Renauld, El-Sayed and Berriman2005; Lemieux et al. Reference Lemieux, Kyes, Otto, Feller, Eastman, Pinches, Berriman, Su and Newbold2013). Most strikingly, the subtelomeric regions contains large and diverse gene families involved in antigenic variation, allowing the parasite to change which proteins it reveals to the immune system. Particularly in the case of Trypanosoma brucei and Plasmodium falciparum, the subtelomeric location allows for controlled and mutually exclusive expression of antigens, critical for ensuring that the antigenic repertoire is not exhausted by exposing it to the immune system too soon. Recombination may occur at a higher rate in subtelomeres allowing the parasite to generate new antigenic diversity. For parasitic worms it has been difficult to characterize subtelomeric and other repetitive regions, as draft genomes often fail to appropriately represent them. One of the most contiguous genome assemblies of a parasitic worm, that of E. multilocularis (Tsai et al. Reference Tsai, Zarowiecki, Holroyd, Garciarrubio, Sanchez-Flores, Brooks, Tracey, Bobes, Fragoso, Sciutto, Aslett, Beasley, Bennett, Cai, Camicia, Clark, Cucher, De Silva, Day, Deplazes, Estrada, Fernandez, Holland, Hou, Hu, Huckvale, Hung, Kamenetzky, Keane and Kiss2013), shows that no genes are over-represented in subtelomeric regions, except for the heat-shock protein 70-like (hsp70-like) gene family, with at least 40% of E. multilocularis hsp70-like genes being subtelomeric. The function of these atypical hsp70-like genes remains to be determined (Koziol et al. Reference Koziol, Iriarte, Castillo, Soto, Bello, Cajarville, Roche and Marin2009) but each copy lacks the characteristic C-terminal motif of canonical hsp70 copies suggesting an altered function. Different life stage expression patterns and elevated sequence diversity also hints to functional significance (Tsai et al. Reference Tsai, Zarowiecki, Holroyd, Garciarrubio, Sanchez-Flores, Brooks, Tracey, Bobes, Fragoso, Sciutto, Aslett, Beasley, Bennett, Cai, Camicia, Clark, Cucher, De Silva, Day, Deplazes, Estrada, Fernandez, Holland, Hou, Hu, Huckvale, Hung, Kamenetzky, Keane and Kiss2013; Zheng et al. Reference Zheng, Zhang, Zhang, Zhang, Li, Lu, Zhu, Wang, Huang, Liu, Kang, Chen, Wang, Chen, Yu, Gao, Jin, Gu, Wang, Zhao, Shi, Wen, Lin, Jones, Brejova, Vinar, Zhao, McManus, Chen and Zhou2013). Most copies do not have signal peptides or transmembrane domains (Supplementary Table S7), indicating that the majority are probably not displayed on the surface.

Another set of genes with conspicuous gene structure – the >45 micro exon genes (MEGs) found in schistosomes (Berriman et al. Reference Berriman, Haas, LoVerde, Wilson, Dillon, Cerqueira, Mashiyama, Al-Lazikani, Andrade, Ashton, Aslett, Bartholomeu, Blandin, Caffrey, Coghlan, Coulson, Day, Delcher, DeMarco, Djikeng, Eyre, Gamble, Ghedin, Gu, Hertz-Fowler, Hirai, Hirai, Houston, Ivens and Johnston2009), which also seem to be present in tapeworms (Tsai et al. Reference Tsai, Zarowiecki, Holroyd, Garciarrubio, Sanchez-Flores, Brooks, Tracey, Bobes, Fragoso, Sciutto, Aslett, Beasley, Bennett, Cai, Camicia, Clark, Cucher, De Silva, Day, Deplazes, Estrada, Fernandez, Holland, Hou, Hu, Huckvale, Hung, Kamenetzky, Keane and Kiss2013). These genes appear to be designed to encode high protein diversity; numerous short internal exons, each with a number of bases that divisible by three, enable a huge set of alternative splice forms to be easily generated by exon skipping. Most of the MEGs carry a signal peptide, indicating that they are secreted (Berriman et al. Reference Berriman, Haas, LoVerde, Wilson, Dillon, Cerqueira, Mashiyama, Al-Lazikani, Andrade, Ashton, Aslett, Bartholomeu, Blandin, Caffrey, Coghlan, Coulson, Day, Delcher, DeMarco, Djikeng, Eyre, Gamble, Ghedin, Gu, Hertz-Fowler, Hirai, Hirai, Houston, Ivens and Johnston2009), (Supplementary Table S8) and have a high level of sequence divergence between copies, such that some lack any conserved elements at all. No MEG contains any known domains, and their function(s) has not been elucidated.

Another diverse and secreted family are the SCP/TAPS family of protease inhibitors. They seem to have two independent radiations in animal-parasitic nematodes, and are particularly abundant in N. americanus, where many are also upregulated in the adult life stage (Tang et al. Reference Tang, Gao, Rosa, Abubucker, Hallsworth-Pepin, Martin, Tyagi, Heizer, Zhang, Bhonagiri-Palsikar, Minx, Warren, Wang, Zhan, Hotez, Sternberg, Dougall, Gaze, Mulvenna, Sotillo, Ranganathan, Rabelo, Wilson, Felgner, Bethony, Hawdon, Gasser, Loukas and Mitreva2014). Although not expanded in parasitic flatworms, the SCP/TAPS (VALs) are also there thought to be important for host–parasite interactions (Chalmers et al. Reference Chalmers, McArdle, Coulson, Wagner, Schmid, Hirai and Hoffmann2008). The exact functions of SCP/TAPS in parasitic worms remain to be elucidated, and they are likely to have a diverse set of functions, just as they do in other animals (Cantacessi et al. Reference Cantacessi, Campbell, Visser, Geldhof, Nolan, Nisbet, Matthews, Loukas, Hofmann, Otranto, Sternberg and Gasser2009).

Classical antigenic variation genes belong to large gene families, are highly and serially expressed, and localize to the cell surface (Reid, Reference Reid2014). In spite of extensive searches, and some candidates (MEGS, hsp70 s and SCP/TAPS), as well as galectin-4 and galectin-9 from A. suum (Jex et al. Reference Jex, Liu, Li, Young, Hall, Li, Yang, Zeng, Xu, Xiong, Chen, Wu, Zhang, Fang, Kang, Anderson, Harris, Campbell, Vlaminck, Wang, Cantacessi, Schwarz, Ranganathan, Geldhof, Nejsum, Sternberg, Yang, Wang, Wang and Gasser2011), it appears that antigenic variation in the same sense as for unicellular parasites does not exist in parasitic worms. Some of the above-mentioned genes may still have primary roles as immunomodulators, or have antigenic or immunomodulatory properties as a side-effect of being highly expressed and secreted at infective life stages.

Protection against the host through surface modifications

Despite the lack of antigenic variation in parasitic worms, their surfaces remain a vital site for defence against the host immune system, where helminths can utilize alternative (non-protein based) physical and molecular ways of controlling its antigen exposure, or increase their membrane turnover (Fonseca et al. Reference Fonseca, Braz Figueiredo Carvalho, Carvalho Alves and de Melo2012). One main strategy to avoid the host immune system appears to be parasite encystment and encapsulation, with the parasite modifying its cuticle, secreting an external layer, or inducing the host to encapsulate it. The molecular mechanisms of such methods are as yet quite poorly understood, but the genome sequences have produced several candidates worth investigating further. Firstly, in the nematode H. contortus, the cuticle is significantly re-modelled during the transition from its free-living to parasitic life stage, and 28 collagen genes also exhibited significant differential expression during that transition, along with a set of other cuticular proteins (Laing et al. Reference Laing, Kikuchi, Martinelli, Tsai, Beech, Redman, Holroyd, Bartley, Beasley, Britton, Curran, Devaney, Gilabert, Hunt, Jackson, Johnston, Kryukov, Li, Morrison, Reid, Sargison, Saunders, Wasmuth, Wolstenholme, Berriman, Gilleard and Cotton2013; Schwarz et al. Reference Schwarz, Korhonen, Campbell, Young, Jex, Jabbar, Hall, Mondal, Howe, Pell, Hofmann, Boag, Zhu, Gregory, Loukas, Williams, Antoshechkin, Brown, Sternberg and Gasser2013). Secondly, the genomes of the tapeworms Echinococcus granulosus and E. multilocularis are very similar (Tsai et al. Reference Tsai, Zarowiecki, Holroyd, Garciarrubio, Sanchez-Flores, Brooks, Tracey, Bobes, Fragoso, Sciutto, Aslett, Beasley, Bennett, Cai, Camicia, Clark, Cucher, De Silva, Day, Deplazes, Estrada, Fernandez, Holland, Hou, Hu, Huckvale, Hung, Kamenetzky, Keane and Kiss2013), but the cysts they produce are not. It is therefore striking that some of the (very few) genes that differ between these species are members of the apomucin family (which are part of the laminated layer) and galactosyltransferases (which probably decorates the apomucins with galactose) (Tsai et al. Reference Tsai, Zarowiecki, Holroyd, Garciarrubio, Sanchez-Flores, Brooks, Tracey, Bobes, Fragoso, Sciutto, Aslett, Beasley, Bennett, Cai, Camicia, Clark, Cucher, De Silva, Day, Deplazes, Estrada, Fernandez, Holland, Hou, Hu, Huckvale, Hung, Kamenetzky, Keane and Kiss2013). These galactose modifications have been hypothesized to prevent antibody recognition (Diaz et al. Reference Diaz, Casaravilla, Allen, Sim and Ferreira2011). Thirdly, the surface of all adult endoparasitic flatworms is a highly specialized tegument composed of a syncytium attached to an acellular layer, hence their Latin name; Neodermata (meaning ‘new skin’). Some expanded gene families that could be instrumental in providing the toughness and versatility of that skin include the cadherins (which tether adjoining cells together) and tetraspanins (involved in tegument stability) (Tran et al. Reference Tran, Freitas, Cooper, Gaze, Gatton, Jones, Lovas, Pearce and Loukas2010; Tsai et al. Reference Tsai, Zarowiecki, Holroyd, Garciarrubio, Sanchez-Flores, Brooks, Tracey, Bobes, Fragoso, Sciutto, Aslett, Beasley, Bennett, Cai, Camicia, Clark, Cucher, De Silva, Day, Deplazes, Estrada, Fernandez, Holland, Hou, Hu, Huckvale, Hung, Kamenetzky, Keane and Kiss2013; Zheng et al. Reference Zheng, Zhang, Zhang, Zhang, Li, Lu, Zhu, Wang, Huang, Liu, Kang, Chen, Wang, Chen, Yu, Gao, Jin, Gu, Wang, Zhao, Shi, Wen, Lin, Jones, Brejova, Vinar, Zhao, McManus, Chen and Zhou2013). Interestingly, the cadherin family is also more frequent in the animal-parasitic nematodes of all clades, than in their free-living relatives (Supplementary material S5·2), perhaps pointing to a more general parasite adaptation. These preliminary data seem to indicate that in general the genes used are as diverse as the methods of encapsulation, but also that some generally used surface proteins (cadherin, tetraspanins, collagen and apomucin) often get co-opted into creating new parasite-specific morphological structures.

Redox systems of parasites

It has been suggested that hosts use oxidative stress as means of combating parasites (Schirmer et al. Reference Schirmer, Schollhammer, Eisenbrand and Krauth-Siegel1987), and it was hypothesized that parasites thus would have a very well-developed redox system to defend itself against reactive oxygen species (ROS) attacks. In necromenic P. pacificus there were relatively high numbers of detoxification and degradation enzymes compared to free-living C. elegans (Dieterich et al. Reference Dieterich, Clifton, Schuster, Chinwalla, Delehaunty, Dinkelacker, Fulton, Fulton, Godfrey, Minx, Mitreva, Roeseler, Tian, Witte, Yang, Wilson and Sommer2008) (for instance an increase in P450 copies cytochrome P450 enzymes, glycosyltransferases, sulphotransferases and ATP-binding cassette (ABC) transporters), and these were hypothesized to represent a pre-adaptation for parasitism (Dieterich and Sommer, Reference Dieterich and Sommer2009). After further genome sequencing, it now appears that most of the endoparasites instead have a much reduced set of redox proteins; in both M. incognita and tapeworms there is a reduction of P450 s (Abad et al. Reference Abad, Gouzy, Aury, Castagnone-Sereno, Danchin, Deleury, Perfus-Barbeoch, Anthouard, Artiguenave, Blok, Caillaud, Coutinho, Dasilva, De Luca, Deau, Esquibet, Flutre, Goldstone, Hamamouch, Hewezi, Jaillon, Jubin, Leonetti, Magliano, Maier, Markov, McVeigh, Pesole, Poulain and Robinson-Rechavi2008; Tsai et al. Reference Tsai, Zarowiecki, Holroyd, Garciarrubio, Sanchez-Flores, Brooks, Tracey, Bobes, Fragoso, Sciutto, Aslett, Beasley, Bennett, Cai, Camicia, Clark, Cucher, De Silva, Day, Deplazes, Estrada, Fernandez, Holland, Hou, Hu, Huckvale, Hung, Kamenetzky, Keane and Kiss2013), and the pattern that animal parasites have less P450 s than their free-living and plant-parasitic relatives remains true when the analysis is expanded to all genomes (Supplementary Table S5·2). Meloidogyne incognita has lost glutathione S-transferases (GST) compared to C. elegans, while tapeworms have a slight gain of mu class GSTs compared to flukes and free-living flatworms (Abad et al. Reference Abad, Gouzy, Aury, Castagnone-Sereno, Danchin, Deleury, Perfus-Barbeoch, Anthouard, Artiguenave, Blok, Caillaud, Coutinho, Dasilva, De Luca, Deau, Esquibet, Flutre, Goldstone, Hamamouch, Hewezi, Jaillon, Jubin, Leonetti, Magliano, Maier, Markov, McVeigh, Pesole, Poulain and Robinson-Rechavi2008; Tsai et al. Reference Tsai, Zarowiecki, Holroyd, Garciarrubio, Sanchez-Flores, Brooks, Tracey, Bobes, Fragoso, Sciutto, Aslett, Beasley, Bennett, Cai, Camicia, Clark, Cucher, De Silva, Day, Deplazes, Estrada, Fernandez, Holland, Hou, Hu, Huckvale, Hung, Kamenetzky, Keane and Kiss2013). Overall though, the investigated genomes of parasites do not show any particular expansion of known redox-related genes, except for the antioxidant selenoprotein (Pfam domain SelP_N), which is more commonly occurring in parasites than in free-living species (Supplementary Table S5·2). Given that free-living organisms (exposed to a larger number of more complex metabolic substrates, and other metabolizing organisms) overall are likely to encounter more oxidative stress and xenobiotics than obligate endoparasites do, it would logically follow that free-living organisms should have more complex and varied redox systems. Host-generated oxidative stress may however still be an efficient method to combat parasites, as long as the host has a better developed system of ROS defence (Schirmer et al. Reference Schirmer, Schollhammer, Eisenbrand and Krauth-Siegel1987).

Overall, it appears that antigenic variation of proteins is not a common method in helminths of avoiding the host immune system, and maintaining a chronic infection. Instead, the parasitic worms are using a range of different strategies; minimizing its exposure to the host immune system through encapsulation and other surface modifications and manipulating the host immune system through secretions of immunomodulatory agents. Still, much remains to be understood about these mechanisms, and these helminth genomes provide a platform for accelerating such research.

UTILIZATION OF HOST RESOURCES

The hosts of parasites often provide a combination of shelter from environmental physical and biological stresses and plentiful and readily accessible food. Since the host has already created a modified metabolome (by food choice, digestion, excretion, etc.), parasites typically encounter a reduced set of potential nutritional substances than free-living organisms do (at least during their parasitic life stages). We can thus predict that parasites adapt by reducing their metabolic capacity to fit the range of available nutrients in the host.

Modification of the metabolism

The most prominent gene losses in flukes are those of metabolic enzymes, resulting in reduced ability to perform de novo synthesis of fatty acids, sterols, cholesterol, purines and amino acids (Berriman et al. Reference Berriman, Haas, LoVerde, Wilson, Dillon, Cerqueira, Mashiyama, Al-Lazikani, Andrade, Ashton, Aslett, Bartholomeu, Blandin, Caffrey, Coghlan, Coulson, Day, Delcher, DeMarco, Djikeng, Eyre, Gamble, Ghedin, Gu, Hertz-Fowler, Hirai, Hirai, Houston, Ivens and Johnston2009; Zhou et al. Reference Zhou, Zheng, Chen, Zhang, Wang, Guo, Huang, Zhang, Huang, Jin, Dou, Hasegawa, Wang, Zhang, Zhou, Tao, Cao, Li, Vinar, Brejova, Brown, Li, Miller, Blair, Zhong, Chen, Hu, Wang, Zhang and Song2009; Wang et al. Reference Wang, Chen, Huang, Sun, Men, Liu, Luo, Guo, Lv, Deng, Zhou, Fan, Li, Huang, Hu, Liang, Hu, Xu and Yu2011). Clonorchis sinensis is the only trematode sequenced to date that has all genes encoding enzymes involved in the fatty acid β-oxidation pathway (Huang et al. Reference Huang, Chen, Wang, Liu, Chen, Guo, Luo, Sun, Mao, Liang, Xie, Zhou, Tian, Lv, Huang, Zhou, Hu, Li, Zhang, Lei, Li, Hu, Liang, Xu, Li and Yu2013). In tapeworms the same losses were predicted, along with the possible loss of the peroxisome organelle from trematodes and cestodes, and further losses of metabolic proteases, amino acid biosynthesis and molybdopterin biosynthesis (Tsai et al. Reference Tsai, Zarowiecki, Holroyd, Garciarrubio, Sanchez-Flores, Brooks, Tracey, Bobes, Fragoso, Sciutto, Aslett, Beasley, Bennett, Cai, Camicia, Clark, Cucher, De Silva, Day, Deplazes, Estrada, Fernandez, Holland, Hou, Hu, Huckvale, Hung, Kamenetzky, Keane and Kiss2013; Zheng et al. Reference Zheng, Zhang, Zhang, Zhang, Li, Lu, Zhu, Wang, Huang, Liu, Kang, Chen, Wang, Chen, Yu, Gao, Jin, Gu, Wang, Zhao, Shi, Wen, Lin, Jones, Brejova, Vinar, Zhao, McManus, Chen and Zhou2013). These gene losses are likely to reflect the morphological changes in these parasites, who have lost their ability to digest in a gut, instead absorbing a simpler spectra of nutrients through its skin (Tsai et al. Reference Tsai, Zarowiecki, Holroyd, Garciarrubio, Sanchez-Flores, Brooks, Tracey, Bobes, Fragoso, Sciutto, Aslett, Beasley, Bennett, Cai, Camicia, Clark, Cucher, De Silva, Day, Deplazes, Estrada, Fernandez, Holland, Hou, Hu, Huckvale, Hung, Kamenetzky, Keane and Kiss2013). The loss of digestive metabolism is accompanied by expansions of some tapeworm-specific genes, which appear to aid the absorption and processing of fatty acids, such as fatty acid binding protein (FABP), low-density lipoprotein (LDL) A receptors and the apolipoprotein antigen (Zhou et al. Reference Zhou, Zheng, Chen, Zhang, Wang, Guo, Huang, Zhang, Huang, Jin, Dou, Hasegawa, Wang, Zhang, Zhou, Tao, Cao, Li, Vinar, Brejova, Brown, Li, Miller, Blair, Zhong, Chen, Hu, Wang, Zhang and Song2009; Tsai et al. Reference Tsai, Zarowiecki, Holroyd, Garciarrubio, Sanchez-Flores, Brooks, Tracey, Bobes, Fragoso, Sciutto, Aslett, Beasley, Bennett, Cai, Camicia, Clark, Cucher, De Silva, Day, Deplazes, Estrada, Fernandez, Holland, Hou, Hu, Huckvale, Hung, Kamenetzky, Keane and Kiss2013). The main food source for parasitic flatworms is glycogen and in C. sinensis a high diversity in key enzymes required for glycolysis, such as hexokinase, enolase, pyruvate kinase, lactate dehydrogenase and phospholipase D has been reported (Wang et al. Reference Wang, Chen, Huang, Sun, Men, Liu, Luo, Guo, Lv, Deng, Zhou, Fan, Li, Huang, Hu, Liang, Hu, Xu and Yu2011), but our comparative analysis does not find them enriched in comparison to other worm genomes (Supplementary material S5·2, S6). Overall, parasites show few common gained domains – instead domains are more often significantly enriched in free-living worms than in the parasites, such as α-N-acetylglucosaminidase (Pfam NAGLU), which breaks down complex sugars (Supplementary material S5·2).

In parasitic nematodes, no correspondingly drastic losses of metabolic enzymes have been reported, even though some studies have performed metabolic reconstruction e.g. (Kikuchi et al. Reference Kikuchi, Cotton, Dalzell, Hasegawa, Kanzaki, McVeigh, Takanashi, Tsai, Assefa, Cock, Otto, Hunt, Reid, Sanchez-Flores, Tsuchihara, Yokoi, Larsson, Miwa, Maule, Sahashi, Jones and Berriman2011; Laing et al. Reference Laing, Kikuchi, Martinelli, Tsai, Beech, Redman, Holroyd, Bartley, Beasley, Britton, Curran, Devaney, Gilabert, Hunt, Jackson, Johnston, Kryukov, Li, Morrison, Reid, Sargison, Saunders, Wasmuth, Wolstenholme, Berriman, Gilleard and Cotton2013; Schwarz et al. Reference Schwarz, Korhonen, Campbell, Young, Jex, Jabbar, Hall, Mondal, Howe, Pell, Hofmann, Boag, Zhu, Gregory, Loukas, Williams, Antoshechkin, Brown, Sternberg and Gasser2013; Tang et al. Reference Tang, Gao, Rosa, Abubucker, Hallsworth-Pepin, Martin, Tyagi, Heizer, Zhang, Bhonagiri-Palsikar, Minx, Warren, Wang, Zhan, Hotez, Sternberg, Dougall, Gaze, Mulvenna, Sotillo, Ranganathan, Rabelo, Wilson, Felgner, Bethony, Hawdon, Gasser, Loukas and Mitreva2014). An early study did note a lack of enzymes required for de novo synthesis of purines, haem and riboflavin in B. malayi, but also noted that the complete pathways are present in the symbiotic Wolbachia. Many of those enzymes are however also lacking in Wolbachia-free L. loa, so it is uncertain to what extent the parasites utilizes its Wolbachia's metabolic capacity (Desjardins et al. Reference Desjardins, Cerqueira, Goldberg, Dunning Hotopp, Haas, Zucker, Ribeiro, Saif, Levin, Fan, Zeng, Russ, Wortman, Fink, Birren and Nutman2013). An explicit comparison of metabolic capacities between C. elegans, M. incognita, B. malayi and Trichinella spiralis indicated parasites have reduced metabolic capacity, less so in core energy metabolism, but – just as in flatworms (described above) – more pronounced in auxiliary metabolism such as metabolism of co-factors and vitamins (Mitreva et al. Reference Mitreva, Jasmer, Zarlenga, Wang, Abubucker, Martin, Taylor, Yin, Fulton, Minx, Yang, Warren, Fulton, Bhonagiri, Zhang, Hallsworth-Pepin, Clifton, McCarter, Appleton, Mardis and Wilson2011). Comparisons of EC numbers between free-living nematodes and H. contortus discovered some enzyme differences, indicating that their amino acid and carbohydrate metabolism differs (Laing et al. Reference Laing, Kikuchi, Martinelli, Tsai, Beech, Redman, Holroyd, Bartley, Beasley, Britton, Curran, Devaney, Gilabert, Hunt, Jackson, Johnston, Kryukov, Li, Morrison, Reid, Sargison, Saunders, Wasmuth, Wolstenholme, Berriman, Gilleard and Cotton2013). Only nematodes have Pfam domain Ldl_recept_b (LDL B receptors), which are usually present in cholesterol binding proteins, and they seem to be consistently more abundant in animal-parasitic nematodes compared to free-living and plant parasites (Supplementary material S5·2).

In our analysis, we found that there were no GO-terms enriched in secreted proteins in the animal parasites. The few GO-terms enriched in the free-living species, were all metabolic processes, including peptidoglycan catabolic process (GO:0009253), sphingolipid metabolic process (GO:0006665) and cell-wall macromolecule catabolic process (GO:0016998). In nematodes, these enriched GO-terms encompass glycosyl hydrolases, chitinases and N-acetylmuramoyl-L-alanine amidase (a hydrolase breaking down cell-wall glycopeptides) (Supplementary Table S2·1).

For nematodes, rather than losing genes, the main common theme instead seems to be the acquisition of a diverse set of enzymes for digesting complex proteins and carbohydrates, for penetrating and digesting host cells and tissue (Bird et al. Reference Bird, Jones, Opperman, Kikuchi and Danchin2014). Some of these CAZymes (carbohydrate-active enzymes) discovered in M. incognita includes GH5 cellulases and xylanases, GH28 polygalacturonases and PL pectate lyases (Abad et al. Reference Abad, Gouzy, Aury, Castagnone-Sereno, Danchin, Deleury, Perfus-Barbeoch, Anthouard, Artiguenave, Blok, Caillaud, Coutinho, Dasilva, De Luca, Deau, Esquibet, Flutre, Goldstone, Hamamouch, Hewezi, Jaillon, Jubin, Leonetti, Magliano, Maier, Markov, McVeigh, Pesole, Poulain and Robinson-Rechavi2008). Both B. xylophilus and Meloidogyne spp. appear to have acquired a large number of enzymes through horizontal gene transfer (Abad et al. Reference Abad, Gouzy, Aury, Castagnone-Sereno, Danchin, Deleury, Perfus-Barbeoch, Anthouard, Artiguenave, Blok, Caillaud, Coutinho, Dasilva, De Luca, Deau, Esquibet, Flutre, Goldstone, Hamamouch, Hewezi, Jaillon, Jubin, Leonetti, Magliano, Maier, Markov, McVeigh, Pesole, Poulain and Robinson-Rechavi2008; Opperman et al. Reference Opperman, Bird, Williamson, Rokhsar, Burke, Cohn, Cromer, Diener, Gajan, Graham, Houfek, Liu, Mitros, Schaff, Schaffer, Scholl, Sosinski, Thomas and Windham2008; Kikuchi et al. Reference Kikuchi, Cotton, Dalzell, Hasegawa, Kanzaki, McVeigh, Takanashi, Tsai, Assefa, Cock, Otto, Hunt, Reid, Sanchez-Flores, Tsuchihara, Yokoi, Larsson, Miwa, Maule, Sahashi, Jones and Berriman2011). Although somewhat related in function, the enzymes appear to have been independently acquired from different sources (Kikuchi et al. Reference Kikuchi, Cotton, Dalzell, Hasegawa, Kanzaki, McVeigh, Takanashi, Tsai, Assefa, Cock, Otto, Hunt, Reid, Sanchez-Flores, Tsuchihara, Yokoi, Larsson, Miwa, Maule, Sahashi, Jones and Berriman2011). The ability to acquire metabolic enzymes through horizontal gene transfer does however not seem to be a feature exclusive to plant parasitic nematodes, but is also found as Wolbachia insertions in the D. immitis genome (Godel et al. Reference Godel, Kumar, Koutsovoulos, Ludin, Nilsson, Comandatore, Wrobel, Thompson, Schmid, Goto, Bringaud, Wolstenholme, Bandi, Epe, Kaminsky, Blaxter and Maser2012). HGT in the necromenic P. pacificus has been argued to be a pre-adaptation for parasitism by allowing for rapid revolutions in metabolic capacity (Dieterich and Sommer, Reference Dieterich and Sommer2009).

Communicating using transmembrane proteins

In order to understand how the parasite utilizes the host resources, one of the main groups of proteins to study are the transmembrane proteins. Simple transmembrane proteins can be involved in host–parasite communication, for instance as receptors to host stimuli. More complex transmembrane proteins can allow for selective import/export of substrates between host and parasite. In order to identify any types of transmembrane proteins disproportionally represented in parasites, we performed a GO-term enrichment analysis to look for functions over-represented in proteins with one transmembrane domain, compared to all proteins in each species. By comparing the enriched GO-terms across species we investigated whether any function is more likely to be associated with transmembrane proteins one in parasites than in free-living species. We find that no GO-terms are enriched overall for all parasites, but some GO-terms only occur in parasites, for instance transmembrane receptor protein tyrosine kinase signalling pathway (GO:0007169). In both nematodes and flatworm parasites this GO-term is associated with tyrosine kinase receptors such as furin (protein-activating protease), ephrin receptors (regulation of tissue differentiation) and growth factor receptors (stimulating growth and cell differentiation) (Supplementary Table S9·1, S9·2). That more of these types of proteins have transmembrane domains in parasites could indicate that the parasites are receiving cues from the host regulating its growth and differentiation. Such systems have been described in some detail for individual parasites previously, i.e. (Zheng et al. Reference Zheng, Zhang, Zhang, Zhang, Li, Lu, Zhu, Wang, Huang, Liu, Kang, Chen, Wang, Chen, Yu, Gao, Jin, Gu, Wang, Zhao, Shi, Wen, Lin, Jones, Brejova, Vinar, Zhao, McManus, Chen and Zhou2013), but we note that this seems to be a cross-phylum parasite adaptation, which repeatedly has occurred in very disparate parasites.

Concluding remarks

Parasitism is extremely common; it has been estimated that at least half of all animals have at least one parasitic life stage during their life-cycle, and almost all free-living animals are host to many parasitic animals (Price, Reference Price1980). Many parasites are not exclusively parasitic, but have free-living life-stages during which they may also be motile, feed and reproduce. Given the many routes to parasitism, and the diversity of parasitic niches that exist, it should perhaps not be surprising that each parasite has undergone its own special adaptations to make it particularly suitable for the environments they encounter throughout their life cycle.

We find several examples of how parasite adaptation is system-specific; it has previously been observed that immunomodulating ES proteins in helminths display a striking diversity, targeting virtually every type of immune cell (Hewitson et al. Reference Hewitson, Grainger and Maizels2009). Evidence emerging from genomes supports this, showing that ES signals change often, resulting in each species having a unique set of ES products. Protease families evolve even more rapidly, with each protease family appearing to be tailored to the specific niche of that species (see above). Helminths do not have obvious systems for antigenic variation, similar to those of viruses, bacteria and single-cell parasites, but they have evolved a rich set of effector proteins, other immunomodulatory methods, and they are using a multitude of surface-modification methods, including cellular and acellular encystment, which allows them to persist in the host for decades. Genes involved in surface tissue formation seem to be general targets for adaptation to parasitism, and thus provides the most convincing example of convergent recruitment of orthologous proteins to similar functions in disparate taxa (sensu Christin et al. Reference Christin, Weinreich and Besnard2010). Adaptations to host metabolism has in tapeworms and trematodes resulted in a spectacular loss of metabolic pathways, which is not matched by nematodes. They instead acquire additional enzymes through horizontal gene transfer. There is however an overall trend of all helminths for losing auxiliary metabolism such as synthesis of co-factors and vitamins, and the peroxisome organelle. Searching for parasite-specific patterns yielded few significant results, but it should be noted that the statistical test is sensitive to the distribution of the character, such that if there is enrichment in only half of the parasites it will not give a significant result, even if there are several independent instances of enrichment. Improved and more sensitive methods for investigating phylogenetically independent parallel evolution are needed to detect those instances, and a separate analysis of only nematodes may identify patterns specific to that phyla. A much larger set of free-living comparator species is also needed to improve the statistical power, but really only of use in nematodes where parasitism has arisen on multiple occasions, or if the investigation is expanded to include the other, quite few, non-helminth bilaterian parasites. Finally, better functional annotation of parasites might also help reveal more parasite-specific characters.

So in spite of a few general common patterns, this study indicates that on a genomic level each evolution of parasitism in helminths has generated many unique adaptations to that specific niche. This leaves us with the challenging problem of having to investigate instances of similar outcomes, generated by very different genomic adaptations, such as the genes involved in formation of the multiple independent inventions of stylets and plant peptide mimics in plant-parasitic nematodes (Bird et al. Reference Bird, Jones, Opperman, Kikuchi and Danchin2014), or effector proteins in helminths (Hewitson et al. Reference Hewitson, Grainger and Maizels2009). Such convergent – but not orthologous – evolution of functions or systems may provide the ultimate answer of what it takes to be a parasite.

METHODS

In order to do some basic and standardized comparative genomics, predicted proteins were downloaded from all available helminth genomes. For genomes from WormBase, version 241 was used (Table 1, Supplementary Table S1). Functional annotation of proteins was conducted using Interpro v.5.0.7 and KAAS (KEGG Automatic Annotation Server) (Moriya et al. Reference Moriya, Itoh, Okuda, Yoshizawa and Kanehisa2007; Hunter et al. Reference Hunter, Jones, Mitchell, Apweiler, Attwood, Bateman, Bernard, Binns, Bork, Burge, de Castro, Coggill, Corbett, Das, Daugherty, Duquenne, Finn, Fraser, Gough, Haft, Hulo, Kahn, Kelly, Letunic, Lonsdale, Lopez, Madera, Maslen, McAnulla and McDowall2012). Pfam and Phobius results were extracted from InterPro results and used to generate Supplementary Tables S2–3, S5–7 and S9. GO-term enrichment was conducted using topGO v.2.12.0 (Adrian and Rahnenfuhrer, Reference Adrian and Rahnenfuhrer2010), and displayed in Supplementary Tables S2·2, S2·2, S9·1 and S9·2. In order to accelerate the MEROPS annotation process, the MEROPS database (Rawlings et al. Reference Rawlings, Waller, Barrett and Bateman2014) was downloaded and blastp searches conducted using the peptides units only, with an e-value cut-off of 0·00001 (Altschul et al. Reference Altschul, Gish, Miller, Myers and Lipman1990), and summarized in Supplementary Table S4. For the antigens, all genes with the HSP70 Pfam domain were extracted from the main dataset, and amended with our annotation in Supplementary Table S7. All microexon genes were extracted from supplementary materials (Berriman et al. Reference Berriman, Haas, LoVerde, Wilson, Dillon, Cerqueira, Mashiyama, Al-Lazikani, Andrade, Ashton, Aslett, Bartholomeu, Blandin, Caffrey, Coghlan, Coulson, Day, Delcher, DeMarco, Djikeng, Eyre, Gamble, Ghedin, Gu, Hertz-Fowler, Hirai, Hirai, Houston, Ivens and Johnston2009; Tsai et al. Reference Tsai, Zarowiecki, Holroyd, Garciarrubio, Sanchez-Flores, Brooks, Tracey, Bobes, Fragoso, Sciutto, Aslett, Beasley, Bennett, Cai, Camicia, Clark, Cucher, De Silva, Day, Deplazes, Estrada, Fernandez, Holland, Hou, Hu, Huckvale, Hung, Kamenetzky, Keane and Kiss2013) and amended with our annotation in Supplementary Table S8.

Phylogenetic reconstruction

1:1 orthologous genes were isolated using OMA standalone software v.0.99t (Roth et al. Reference Roth, Gonnet and Dessimoz2008), and genes in which 25 or more out of the 31 taxa were represented were extracted, results presented in Supplementary Table S10. The extracted clusters were aligned using MAFFT v6.240 (Katoh and Standley, Reference Katoh and Standley2014), and conserved blocks were extracted using Gblocks v.0.91b (Castresana, Reference Castresana2000). The resulting alignments were concatenated, and a phylogeny reconstructed using RaxML web server using the Blosum62 model and gamma (Stamatakis et al. Reference Stamatakis, Hoover and Rougemont2008). The resulting phylogeny is depicted with proportional branch lengths in Fig. 1, and was used for trait correlation testing.

Trait correlation testing

We examined the associations between mode of parasitism and other traits (the number of domains, number of proteases and enriched GO-terms) using the subroutine phylogenetic generalized least squares (PGLS) in the R-package Caper v. 0.5.2 (Orme, Reference Orme2013). This method controls for phylogenetic relatedness while determining whether an independent trait (here mode of parasitism) predicts values of another trait (domain frequency). The results were calculated from the normalized and log-transformed values. The significance was assessed using a t-test, and the results are reported for protease families and domains in the Supplementary materials. Because of the subjectivity in determining coding the character ‘mode of parasitism’, several different schemes were used, displayed in Supplementary Table S1. The results are inserted to the right in Supplementary Tables S2·2, S4, S6 and S9. Differences in probability (P-value) means between datasets were calculated using a paired t-test in R 3.0.0 (R Core Team, 2013).

Invasion secretome analysis

For S. mansoni, Supplementary Table S3 was downloaded from (Protasio et al. Reference Protasio, Tsai, Babbage, Nichol, Hunt, Aslett, De Silva, Velarde, Anderson, Clark, Davidson, Dillon, Holroyd, LoVerde, Lloyd, McQuillan, Oliveira, Otto, Parker-Manuel, Quail, Wilson, Zerlotini, Dunne and Berriman2012). Transcripts significantly differentially expressed between cercariae and 3 h schistosomula were extracted, and the gene IDs were used to cross-reference with our annotation. Differentially expressed genes that were annotated as proteases or secreted were extracted, and are presented in Supplementary material S3.

SUPPLEMENTARY MATERIAL

To view supplementary material for this article, please visit http://dx.doi.org/10.1017/S0031182014001449

ACKNOWLEDGEMENTS

The authors would like to thank Dr Andrew Jackson from the University of Liverpool and James Cotton from the Wellcome Trust Sanger Institute for organising a meeting entitled ‘The evolution of parasite genomes and the origins of parasitism’, which inspired this review.

FINANCIAL SUPPORT

Funding for M.Z. and M.B. was provided by the Wellcome Trust Sanger Institute.

References

REFERENCES

Abad, P., Gouzy, J., Aury, J. M., Castagnone-Sereno, P., Danchin, E. G. J., Deleury, E., Perfus-Barbeoch, L., Anthouard, V., Artiguenave, F., Blok, V. C., Caillaud, M. C., Coutinho, P. M., Dasilva, C., De Luca, F., Deau, F., Esquibet, M., Flutre, T., Goldstone, J. V., Hamamouch, N., Hewezi, T., Jaillon, O., Jubin, C., Leonetti, P., Magliano, M., Maier, T. R., Markov, G. V., McVeigh, P., Pesole, G., Poulain, J., Robinson-Rechavi, M., et al. (2008). Genome sequence of the metazoan plant-parasitic nematode Meloidogyne incognita . Nature Biotechnology 26, 909915.Google Scholar
Adrian, A. and Rahnenfuhrer, J. (2010). topGO: enrichment analysis for gene ontology. R package version 2.8.Google Scholar
Altschul, S. F., Gish, W., Miller, W., Myers, E. W. and Lipman, D. J. (1990). Basic local alignment search tool. Journal of Molecular Biology 215, 403410.Google Scholar
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., Harris, M. A., Hill, D. P., Issel-Tarver, L., Kasarskis, A., Lewis, S., Matese, J. C., Richardson, J. E., Ringwald, M., Rubin, G. M. and Sherlock, G. (2000). Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nature Genetics 25, 2529.Google Scholar
Bai, X. D., Adams, B. J., Ciche, T. A., Clifton, S., Gaugler, R., Kim, K., Spieth, J., Sternberg, P. W., Wilson, R. K. and Grewal, P. S. (2013). A lover and a fighter: the genome sequence of an entomopathogenic nematode Heterorhabditis bacteriophora . PLoS One 8, ARTN e69618.Google Scholar
Barry, J. D., Marcello, L., Morrison, L. J., Read, A. F., Lythgoe, K., Jones, N., Carrington, M., Blandin, G., Bohme, U., Caler, E., Hertz-Fowler, C., Renauld, H., El-Sayed, N. and Berriman, M. (2005). What the genome sequence is revealing about trypanosome antigenic variation. Biochemical Society Transactions 33, 986989.Google Scholar
Berriman, M., Haas, B. J., LoVerde, P. T., Wilson, R. A., Dillon, G. P., Cerqueira, G. C., Mashiyama, S. T., Al-Lazikani, B., Andrade, L. F., Ashton, P. D., Aslett, M. A., Bartholomeu, D. C., Blandin, G., Caffrey, C. R., Coghlan, A., Coulson, R., Day, T. A., Delcher, A., DeMarco, R., Djikeng, A., Eyre, T., Gamble, J. A., Ghedin, E., Gu, Y., Hertz-Fowler, C., Hirai, H., Hirai, Y., Houston, R., Ivens, A., Johnston, D. A., et al. (2009). The genome of the blood fluke Schistosoma mansoni . Nature 460, 352–U365.Google Scholar
Bethony, J., Brooker, S., Albonico, M., Geiger, S. M., Loukas, A., Diemert, D. and Hotez, P. J. (2006). Soil-transmitted helminth infections: ascariasis, trichuriasis, and hookworm. Lancet 367, 15211532.Google Scholar
Bird, D. M., Jones, J. T., Opperman, C. H., Kikuchi, T. and Danchin, E. G. J. (2014). Signatures of adaptation to plant parasitism in nematode genomes. Parasitology. doi: 10.1017/S0031182013002163.Google Scholar
Blaxter, M. and Koutsovoulos, G. (2014) The evolution of parasitism in Nematoda. Parasitology. doi: 10.1017/S0031182014000791.Google Scholar
Blaxter, M. L., De Ley, P., Garey, J. R., Liu, L. X., Scheldeman, P., Vierstraete, A., Vanfleteren, J. R., Mackey, L. Y., Dorris, M., Frisse, L. M., Vida, J. T. and Thomas, W. K. (1998). A molecular evolutionary framework for the phylum Nematoda. Nature 392, 7175.Google Scholar
Budke, C. M., White, A. C. Jr. and Garcia, H. H. (2009). Zoonotic larval cestode infections: neglected, neglected tropical diseases? PLoS Neglected Tropical Diseases 3, e319.CrossRefGoogle ScholarPubMed
C. elegans Sequencing Consortium (1998). Genome sequence of the nematode C. elegans: a platform for investigating biology. Science 282, 20122018.CrossRefGoogle Scholar
Cantacessi, C., Campbell, B. E., Visser, A., Geldhof, P., Nolan, M. J., Nisbet, A. J., Matthews, J. B., Loukas, A., Hofmann, A., Otranto, D., Sternberg, P. W. and Gasser, R. B. (2009). A portrait of the “SCP/TAPS” proteins of eukaryotes – developing a framework for fundamental research and biotechnological outcomes. Biotechnology Advances 27, 376388.Google Scholar
Castresana, J. (2000). Selection of conserved blocks from multiple alignments for their use in phylogenetic analysis. Molecular Biology and Evolution 17, 540552.Google Scholar
Chalmers, I. W., McArdle, A. J., Coulson, R. M. R., Wagner, M. A., Schmid, R., Hirai, H. and Hoffmann, K. F. (2008). Developmentally regulated expression, alternative splicing and distinct sub-groupings in members of the Schistosoma mansoni venom allergen-like (SmVAL) gene family. BMC Genomics 9, 89.Google Scholar
Christin, P. A., Weinreich, D. M. and Besnard, G. (2010). Causes and evolutionary significance of genetic convergence. Trends in Genetics 26, 400405.Google Scholar
Cotton, J. A., Lilley, C. J., Jones, L. M., Kikuchi, T., Reid, A. J., Thorpe, P., Tsai, I. J., Beasley, H., Blok, V., Cock, P. J., Eves-van den Akker, S., Holroyd, N., Hunt, M., Mantelin, S., Naghra, H., Pain, A., Palomares-Rius, J. E., Zarowiecki, M., Berriman, M., Jones, J. T. and Urwin, P. E. (2014). The genome and life-stage specific transcriptomes of Globodera pallida elucidate key aspects of plant parasitism by a cyst nematode. Genome Biology 15, R43.Google Scholar
Desjardins, C. A., Cerqueira, G. C., Goldberg, J. M., Dunning Hotopp, J. C., Haas, B. J., Zucker, J., Ribeiro, J. M., Saif, S., Levin, J. Z., Fan, L., Zeng, Q., Russ, C., Wortman, J. R., Fink, D. L., Birren, B. W. and Nutman, T. B. (2013). Genomics of Loa loa, a Wolbachia-free filarial parasite of humans. Nature Genetics, 45, 495500.Google Scholar
Diaz, A., Casaravilla, C., Allen, J. E., Sim, R. B. and Ferreira, A. M. (2011). Understanding the laminated layer of larval Echinococcus II: immunology. Trends in Parasitology 27, 264273.Google Scholar
Dieterich, C. and Sommer, R. J. (2009). How to become a parasite – lessons from the genomes of nematodes. Trends in Genetics 25, 203209.Google Scholar
Dieterich, C., Clifton, S. W., Schuster, L. N., Chinwalla, A., Delehaunty, K., Dinkelacker, I., Fulton, L., Fulton, R., Godfrey, J., Minx, P., Mitreva, M., Roeseler, W., Tian, H., Witte, H., Yang, S. P., Wilson, R. K. and Sommer, R. J. (2008). The Pristionchus pacificus genome provides a unique perspective on nematode lifestyle and parasitism. Nature Genetics 40, 11931198.Google Scholar
Fonseca, C. T., Braz Figueiredo Carvalho, G., Carvalho Alves, C. and de Melo, T. T. (2012). Schistosoma tegument proteins in vaccine and diagnosis development: an update. Journal of Parasitology Research 2012, 541268.Google Scholar
Foth, B., Tsai, I., Reid, A., Bancroft, A., Nichol, S., Tracey, A., Holroyd, N., Cotton, J., Stanley, E., Zarowiecki, M., Liu, J., Huckvale, T., Cooper, P., Grencis, R. and Berriman, M. (2014). The whipworm genome and dual-species transcriptomics of an intimate host-pathogen interaction. Nature Genetics 46, 693700.Google Scholar
Ghedin, E., Wang, S. L., Spiro, D., Caler, E., Zhao, Q., Crabtree, J., Allen, J. E., Delcher, A. L., Guiliano, D. B., Miranda-Saavedra, D., Angiuoli, S. V., Creasy, T., Amedeo, P., Haas, B., El-Sayed, N. M., Wortman, J. R., Feldblyum, T., Tallon, L., Schatz, M., Shumway, M., Koo, H., Salzberg, S. L., Schobel, S., Pertea, M., Pop, M., White, O., Barton, G. J., Carlow, C. K. S., Crawford, M. J., Daub, J., et al. (2007). Draft genome of the filarial nematode parasite Brugia malayi . Science 317, 17561760.Google Scholar
Godel, C., Kumar, S., Koutsovoulos, G., Ludin, P., Nilsson, D., Comandatore, F., Wrobel, N., Thompson, M., Schmid, C. D., Goto, S., Bringaud, F., Wolstenholme, A., Bandi, C., Epe, C., Kaminsky, R., Blaxter, M. and Maser, P. (2012). The genome of the heartworm, Dirofilaria immitis, reveals drug and vaccine targets. FASEB Journal 26, 46504661.Google Scholar
Hahn, C., Fromm, B. and Bachmann, L. (2014). Comparative genomics of flatworms (Platyhelminthes) reveals shared genomic features of ecto- and endoparastic Neodermata. Genome Biology and Evolution 6, 11051117. Advanced access.CrossRefGoogle ScholarPubMed
Harris, A. R., Russell, R. J. and Charters, A. D. (1984). A review of schistosomiasis in immigrants in Western Australia, demonstrating the unusual longevity of Schistosoma mansoni . Transactions of the Royal Society of Tropical Medicine and Hygiene 78, 385388.Google Scholar
Hewitson, J. P., Grainger, J. R. and Maizels, R. M. (2009). Helminth immunoregulation: the role of parasite secreted proteins in modulating host immunity. Molecular and Biochemical Parasitology 167, 111.CrossRefGoogle ScholarPubMed
Huang, Y., Chen, W., Wang, X., Liu, H., Chen, Y., Guo, L., Luo, F., Sun, J., Mao, Q., Liang, P., Xie, Z., Zhou, C., Tian, Y., Lv, X., Huang, L., Zhou, J., Hu, Y., Li, R., Zhang, F., Lei, H., Li, W., Hu, X., Liang, C., Xu, J., Li, X. and Yu, X. (2013). The carcinogenic liver fluke, Clonorchis sinensis: new assembly, reannotation and analysis of the genome and characterization of tissue transcriptomes. PLoS One 8, e54732.Google Scholar
Hunter, S., Jones, P., Mitchell, A., Apweiler, R., Attwood, T. K., Bateman, A., Bernard, T., Binns, D., Bork, P., Burge, S., de Castro, E., Coggill, P., Corbett, M., Das, U., Daugherty, L., Duquenne, L., Finn, R. D., Fraser, M., Gough, J., Haft, D., Hulo, N., Kahn, D., Kelly, E., Letunic, I., Lonsdale, D., Lopez, R., Madera, M., Maslen, J., McAnulla, C., McDowall, J., et al. (2012). InterPro in 2011:new developments in the family and domain prediction database. Nucleic acids research, 40, D306D312.Google Scholar
Isnard, A., Shio, M. T. and Olivier, M. (2012). Impact of Leishmania metalloprotease GP63 on macrophage signaling. Frontiers in Cellular and Infection Microbiology 2, 72.Google Scholar
Jex, A. R., Liu, S. P., Li, B., Young, N. D., Hall, R. S., Li, Y. R., Yang, L. F., Zeng, N., Xu, X., Xiong, Z. J., Chen, F. Y., Wu, X., Zhang, G. J., Fang, X. D., Kang, Y., Anderson, G. A., Harris, T. W., Campbell, B. E., Vlaminck, J., Wang, T., Cantacessi, C., Schwarz, E. M., Ranganathan, S., Geldhof, P., Nejsum, P., Sternberg, P. W., Yang, H. M., Wang, J., Wang, J. and Gasser, R. B. (2011). Ascaris suum draft genome. Nature 479, 529–U257.Google Scholar
Katoh, K. and Standley, D. M. (2014). MAFFT: iterative refinement and additional methods. Methods in Molecular Biology 1079, 131146.Google Scholar
Kikuchi, T., Cotton, J. A., Dalzell, J. J., Hasegawa, K., Kanzaki, N., McVeigh, P., Takanashi, T., Tsai, I. J., Assefa, S. A., Cock, P. J., Otto, T. D., Hunt, M., Reid, A. J., Sanchez-Flores, A., Tsuchihara, K., Yokoi, T., Larsson, M. C., Miwa, J., Maule, A. G., Sahashi, N., Jones, J. T. and Berriman, M. (2011). Genomic insights into the origin of parasitism in the emerging plant pathogen Bursaphelenchus xylophilus . PLoS Pathogens 7, e1002219.Google Scholar
Koziol, U., Iriarte, A., Castillo, E., Soto, J., Bello, G., Cajarville, A., Roche, L. and Marin, M. (2009). Characterization of a putative hsp70 pseudogene transcribed in protoscoleces and adult worms of Echinococcus granulosus . Gene 443, 111.Google Scholar
Kumar, S., Koutsovoulos, G., Kaur, G. and Blaxter, M. (2012). Toward 959 nematode genomes. Worm 1, 4250.Google Scholar
Laing, R., Kikuchi, T., Martinelli, A., Tsai, I. J., Beech, R. N., Redman, E., Holroyd, N., Bartley, D. J., Beasley, H., Britton, C., Curran, D., Devaney, E., Gilabert, A., Hunt, M., Jackson, F., Johnston, S. L., Kryukov, I., Li, K. Y., Morrison, A. A., Reid, A. J., Sargison, N., Saunders, G. I., Wasmuth, J. D., Wolstenholme, A., Berriman, M., Gilleard, J. S. and Cotton, J. A. (2013). The genome and transcriptome of Haemonchus contortus, a key model parasite for drug and vaccine discovery. Genome Biology 14, R88.Google Scholar
Lemieux, J. E., Kyes, S. A., Otto, T. D., Feller, A. I., Eastman, R. T., Pinches, R. A., Berriman, M., Su, X. Z. and Newbold, C. I. (2013). Genome-wide profiling of chromosome interactions in Plasmodium falciparum characterizes nuclear architecture and reconfigurations associated with antigenic variation. Molecular Microbiology 90, 519537.Google Scholar
Littlewood, D. T. J., Rohde, K. and Clough, K. A. (1999). The interrelationships of all major groups of Platyhelminthes: phylogenetic evidence from morphology and molecules. Biological Journal of the Linnean Society 66, 75114.Google Scholar
Maizels, R. M. and Yazdanbakhsh, M. (2003). Immune regulation by helminth parasites: cellular and molecular mechanisms. Nature Reviews Immunology 3, 733744.Google Scholar
McGwire, B. S., Chang, K. P. and Engman, D. M. (2003). Migration through the extracellular matrix by the parasitic protozoan Leishmania is enhanced by surface metalloprotease gp63. Infection and Immunity 71, 10081010.CrossRefGoogle ScholarPubMed
Mitreva, M., Jasmer, D. P., Zarlenga, D. S., Wang, Z. Y., Abubucker, S., Martin, J., Taylor, C. M., Yin, Y., Fulton, L., Minx, P., Yang, S. P., Warren, W. C., Fulton, R. S., Bhonagiri, V., Zhang, X., Hallsworth-Pepin, K., Clifton, S. W., McCarter, J. P., Appleton, J., Mardis, E. R. and Wilson, R. K. (2011). The draft genome of the parasitic nematode Trichinella spiralis . Nature Genetics 43, 228–U274.Google Scholar
Moriya, Y., Itoh, M., Okuda, S., Yoshizawa, A. C. and Kanehisa, M. (2007). KAAS: an automatic genome annotation and pathway reconstruction server. Nucleic Acids Research, 35, W182185.Google Scholar
Nicol, J., Turner, S., Coyne, D., den Nijs, L., Hockland, S. and Maafi, Z. (eds.) (2011). Current Nematode Threats to World Agriculture, Springer, The Netherlands.Google Scholar
Opperman, C. H., Bird, D. M., Williamson, V. M., Rokhsar, D. S., Burke, M., Cohn, J., Cromer, J., Diener, S., Gajan, J., Graham, S., Houfek, T. D., Liu, Q., Mitros, T., Schaff, J., Schaffer, R., Scholl, E., Sosinski, B. R., Thomas, V. P. and Windham, E. (2008). Sequence and genetic map of Meloidogyne hapla: a compact nematode genome for plant parasitism. Proceedings of the National Academy of Sciences of the United States of America 105, 1480214807.Google Scholar
Orme, C. (2013). The caper package: comparative analysis of phylogenetics and evolution in R. Available: http://cran.r-project.org/web/packages/caper.Google Scholar
Poulin, R. (2011). Evolutionary Ecology of Parasites, Princeton University press, New Jersey, USA Google Scholar
Price, P. W. (1980). Evolutionary biology of parasites. Monographs in Population Biology 15, 1237.Google Scholar
Protasio, A. V., Tsai, I. J., Babbage, A., Nichol, S., Hunt, M., Aslett, M. A., De Silva, N., Velarde, G. S., Anderson, T. J. C., Clark, R. C., Davidson, C., Dillon, G. P., Holroyd, N. E., LoVerde, P. T., Lloyd, C., McQuillan, J., Oliveira, G., Otto, T. D., Parker-Manuel, S. J., Quail, M. A., Wilson, R. A., Zerlotini, A., Dunne, D. W. and Berriman, M. (2012). A systematically improved high quality genome and transcriptome of the human blood fluke Schistosoma mansoni . PLoS Neglected Tropical Diseases 6, ARTN e1455.Google Scholar
Quicke, D. L. J. and Belshaw, R. (1999). Incongruence between morphological data sets: an example from the evolution of endoparasitism among parasitic wasps (Hymenoptera: Braconidae). Systematic Biology 48, 436454.Google Scholar
R Core Team (2013). R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org/.Google Scholar
Rawlings, N. D., Waller, M., Barrett, A. J. and Bateman, A. (2014). MEROPS: the database of proteolytic enzymes, their substrates and inhibitors. Nucleic Acids Research 42, D503509.Google Scholar
Reid, A. (2014). Large, rapidly evolving gene families are at the forefront of host-parasite interactions in Apicomplexa. Parasitology. doi: 10.1017/S0031182014001528.Google Scholar
Robb, S. M. C., Ross, E. and Alvarado, A. S. (2008). SmedGD: the Schmidtea mediterranea genome database. Nucleic Acids Research, 36, D599D606.Google Scholar
Roth, A. C., Gonnet, G. H. and Dessimoz, C. (2008). Algorithm of OMA for large-scale orthology inference. BMC Bioinformatics 9, 518.Google Scholar
Schiffer, P. H., Kroiher, M., Kraus, C., Koutsovoulos, G. D., Kumar, S., Camps, J. I., Nsah, N. A., Stappert, D., Morris, K., Heger, P., Altmuller, J., Frommolt, P., Nurnberg, P., Thomas, W. K., Blaxter, M. L. and Schierenberg, E. (2013). The genome of Romanomermis culicivorax: revealing fundamental changes in the core developmental genetic toolkit in Nematoda. BMC Genomics 14, 923.Google Scholar
Schirmer, R. H., Schollhammer, T., Eisenbrand, G. and Krauth-Siegel, R. L. (1987). Oxidative stress as a defense mechanism against parasitic infections. Free Radical Research Communications 3, 312.Google Scholar
Schwarz, E. M., Korhonen, P. K., Campbell, B. E., Young, N. D., Jex, A. R., Jabbar, A., Hall, R. S., Mondal, A., Howe, A. C., Pell, J., Hofmann, A., Boag, P. R., Zhu, X. Q., Gregory, T. R., Loukas, A., Williams, B. A., Antoshechkin, I., Brown, C. T., Sternberg, P. W. and Gasser, R. B. (2013). The genome and developmental transcriptome of the strongylid nematode Haemonchus contortus . Genome Biology 14, R89.Google Scholar
Spruance, S. L. (1974). Latent period of 53 years in a case of hydatid cyst disease. Archives of Internal Medicine 134, 741742.Google Scholar
Srinivasan, J., Dillman, A. R., Macchietto, M. G., Heikkinen, L., Lakso, M., Fracchia, K. M., Antoshechkin, I., Mortazavi, A., Wong, G. and Sternberg, P. W. (2013). The draft genome and transcriptome of Panagrellus redivivus are shaped by the harsh demands of a free-living lifestyle. Genetics 193, 12791295.Google Scholar
Stamatakis, A., Hoover, P. and Rougemont, J. (2008). A rapid bootstrap algorithm for the RAxML web servers. Systematic Biology 57, 758771.Google Scholar
Stein, L. D., Bao, Z., Blasiar, D., Blumenthal, T., Brent, M. R., Chen, N., Chinwalla, A., Clarke, L., Clee, C., Coghlan, A., Coulson, A., D'Eustachio, P., Fitch, D. H., Fulton, L. A., Fulton, R. E., Griffiths-Jones, S., Harris, T. W., Hillier, L. W., Kamath, R., Kuwabara, P. E., Mardis, E. R., Marra, M. A., Miner, T. L., Minx, P., Mullikin, J. C., Plumb, R. W., Rogers, J., Schein, J. E., Sohrmann, M., Spieth, J., et al. (2003). The genome sequence of Caenorhabditis briggsae: a platform for comparative genomics. PLoS Biology 1, E45.Google Scholar
Steinmann, P., Keiser, J., Bos, R., Tanner, M. and Utzinger, J. (2006). Schistosomiasis and water resources development: systematic review, meta-analysis, and estimates of people at risk. Lancet Infectious Diseases 6, 411425.Google Scholar
Tang, Y. T., Gao, X., Rosa, B. A., Abubucker, S., Hallsworth-Pepin, K., Martin, J., Tyagi, R., Heizer, E., Zhang, X., Bhonagiri-Palsikar, V., Minx, P., Warren, W. C., Wang, Q., Zhan, B., Hotez, P. J., Sternberg, P. W., Dougall, A., Gaze, S. T., Mulvenna, J., Sotillo, J., Ranganathan, S., Rabelo, E. M., Wilson, R. K., Felgner, P. L., Bethony, J., Hawdon, J. M., Gasser, R. B., Loukas, A. and Mitreva, M. (2014). Genome of the human hookworm Necator americanus . Nature Genetics 46, 261269.Google Scholar
Torgerson, P. R. and Macpherson, C. N. (2011). The socioeconomic burden of parasitic zoonoses: global trends. Veterinary Parasitology 182, 7995.Google Scholar
Tran, M. H., Freitas, T. C., Cooper, L., Gaze, S., Gatton, M. L., Jones, M. K., Lovas, E., Pearce, E. J. and Loukas, A. (2010). Suppression of mRNAs encoding tegument tetraspanins from Schistosoma mansoni results in impaired tegument turnover. PLoS Pathogens 6, e1000840.Google Scholar
Tsai, I. J., Zarowiecki, M., Holroyd, N., Garciarrubio, A., Sanchez-Flores, A., Brooks, K. L., Tracey, A., Bobes, R. J., Fragoso, G., Sciutto, E., Aslett, M., Beasley, H., Bennett, H. M., Cai, J. P., Camicia, F., Clark, R., Cucher, M., De Silva, N., Day, T. A., Deplazes, P., Estrada, K., Fernandez, C., Holland, P. W. H., Hou, J. L., Hu, S. N., Huckvale, T., Hung, S. S., Kamenetzky, L., Keane, J. A., Kiss, F., et al. (2013). The genomes of four tapeworm species reveal adaptations to parasitism. Nature 496, 5763.Google Scholar
Wang, X., Chen, W., Huang, Y., Sun, J., Men, J., Liu, H., Luo, F., Guo, L., Lv, X., Deng, C., Zhou, C., Fan, Y., Li, X., Huang, L., Hu, Y., Liang, C., Hu, X., Xu, J. and Yu, X. (2011). The draft genome of the carcinogenic human liver fluke Clonorchis sinensis . Genome Biology 12, R107.Google Scholar
Young, N. D., Jex, A. R., Li, B., Liu, S. P., Yang, L. F., Xiong, Z. J., Li, Y. R., Cantacessi, C., Hall, R. S., Xu, X., Chen, F. Y., Wu, X., Zerlotini, A., Oliveira, G., Hofmann, A., Zhang, G. J., Fang, X. D., Kang, Y., Campbell, B. E., Loukas, A., Ranganathan, S., Rollinson, D., Rinaldi, G., Brindley, P. J., Yang, H. M., Wang, J., Wang, J. and Gasser, R. B. (2012). Whole-genome sequence of Schistosoma haematobium . Nature Genetics 44, 221225.Google Scholar
Zheng, H., Zhang, W., Zhang, L., Zhang, Z., Li, J., Lu, G., Zhu, Y., Wang, Y., Huang, Y., Liu, J., Kang, H., Chen, J., Wang, L., Chen, A., Yu, S., Gao, Z., Jin, L., Gu, W., Wang, Z., Zhao, L., Shi, B., Wen, H., Lin, R., Jones, M. K., Brejova, B., Vinar, T., Zhao, G., McManus, D. P., Chen, Z., Zhou, Y., et al. (2013). The genome of the hydatid tapeworm Echinococcus granulosus . Nature Genetics 45, 11681175.Google Scholar
Zhou, Y., Zheng, H. J., Chen, Y. Y., Zhang, L., Wang, K., Guo, J., Huang, Z., Zhang, B., Huang, W., Jin, K., Dou, T. H., Hasegawa, M., Wang, L., Zhang, Y., Zhou, J., Tao, L., Cao, Z. W., Li, Y. X., Vinar, T., Brejova, B., Brown, D., Li, M., Miller, D. J., Blair, D., Zhong, Y., Chen, Z., Hu, W., Wang, Z. Q., Zhang, Q. H., Song, H., et al. (2009). The Schistosoma japonicum genome reveals features of host-parasite interplay. Nature 460, 345–U356.Google Scholar
Figure 0

Fig. 1. Helminth phylogenies show that animal and plant parasitism has evolved on several occasions in nematodes, exhibiting a wide variety of hosts and parasitic strategies. The species name is followed by the year that genome was published, and the species mode of parasitism.

Figure 1

Table 1. Summary of sequenced worm genomes

Figure 2

Fig. 2. The P-value distributions for the phylogenetic signal in the protease, Pfam domain and pathway datasets reveal that the phylogenetic signal is significantly different between all datasets.

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