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Genetic diversity and structure of Jatropha curcas L. in its centre of origin

Published online by Cambridge University Press:  27 March 2014

M. Salvador-Figueroa
Affiliation:
Centro de Biociencias, Universidad Autónoma de Chiapas, Carretera a Puerto Madero Km 2.0, Tapachula, Chiapas30700, Mexico
J. Magaña-Ramos
Affiliation:
Centro de Biociencias, Universidad Autónoma de Chiapas, Carretera a Puerto Madero Km 2.0, Tapachula, Chiapas30700, Mexico
J. A. Vázquez-Ovando
Affiliation:
Centro de Biociencias, Universidad Autónoma de Chiapas, Carretera a Puerto Madero Km 2.0, Tapachula, Chiapas30700, Mexico
M. L. Adriano-Anaya
Affiliation:
Centro de Biociencias, Universidad Autónoma de Chiapas, Carretera a Puerto Madero Km 2.0, Tapachula, Chiapas30700, Mexico
I. Ovando-Medina*
Affiliation:
Centro de Biociencias, Universidad Autónoma de Chiapas, Carretera a Puerto Madero Km 2.0, Tapachula, Chiapas30700, Mexico
*
*Corresponding author. E-mail: [email protected]

Abstract

To investigate the genetic diversity and structure of Jatropha curcas L. oilseed plant, in this study, native populations from Chiapas, Mexico, were evaluated, using microsatellite DNA markers. A total of 93 representative samples were selected from seven sites in two regions in the state of Chiapas grouped by geographical proximity, where leaf samples were collected to isolate the genomic DNA. Individual polymerase chain reactions were carried out with ten pairs of specific oligonucleotides for the microsatellites of J. curcas, separating the products of amplification by acrylamide electrophoresis. Twenty-seven fragments were detected (77% polymorphic) with which heterozygous individuals were distinguished. The most informative microsatellite was Jcps20 (nine alleles, polymorphic index content 0.354). The average polymorphism per population was 58%. The Hardy–Weinberg tests revealed a reproductive pattern of non-random mating. The diversity descriptors and the analysis of molecular variance revealed that the populations were structured and moderately differentiated (FST 0.087) and that this differentiation was not due to isolation by distance, as the Mantel test was not significant (P= 0.137), but rather due to allopatry. Bayesian analysis revealed that the accessions belonged to only four genetic groups and confirmed the differentiation between the regions. Because some loci were in Hardy–Weinberg disequilibrium, it is proposed that differentiation is due to the clonal reproduction of J. curcas practised by farmers in Chiapas, along with the anthropogenic dispersion at regional levels. The results of this study reveal that J. curcas in Chiapas has genetic diversity that is greater than that reported in other parts of the world, which represents a potential germplasm pool for the selection of genotypes.

Type
Research Article
Copyright
Copyright © NIAB 2014 

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References

Abdulla, JM, Janagoudar, BS, Biradar, DP, Ravikumar, RL, Koti, RV and Patil, SJ (2009) Genetic diversity analysis of elite Jatropha curcas (L.) genotypes using randomly amplified polymorphic DNA markers. Karnataka Journal of Agricultural Sciences 22: 293295.Google Scholar
Achten, WMJ, Nielsen, LR, Aerts, R, Lengkeek, AG, Kjaer, ED, Trabucco, A, Hansen, JK, Maes, WH, Graudal, L, Akinnifesi, FK and Muys, B (2010) Towards domestication of Jatropha curcas . Biofuels 1: 91107.Google Scholar
Aguayo, JE and Trápaga, R (1996) Geodinámica de México y Minerales del Mar. Cap. III Tectónica actual de México. Distrito Federal: Fondo de Cultura Económica.Google Scholar
Ambrosi, DG, Galla, G, Purelli, M, Barbi, T, Fabbri, A, Lucretti, S, Sharbel, TF and Barcaccia, G (2010) DNA markers and FCSS analyses shed light on the genetic diversity and reproductive strategy of Jatropha curcas L. Diversity 2: 810836.Google Scholar
Basha, SD and Sujatha, M (2007) Inter- and intra-population variability of Jatropha curcas (L.) characterized by RAPD and ISSR markers and development of population-specific SCAR markers. Euphytica 156: 375386.Google Scholar
Basha, SD, Francis, G, Makkar, HPS, Becker, K and Sujatha, M (2009) A comparative study of biochemical traits and molecular markers for assessment of genetic relationships between Jatropha curcas L. germplasm from different countries. Plant Science 176: 812823.Google Scholar
Burkart, B (1978) Offset across the Polochic fault of Guatemala and Chiapas, Mexico. Geology 6: 328332.2.0.CO;2>CrossRefGoogle Scholar
Carels, N (2009) Jatropha curcas: a review. In: Kader, JC and Delseny, M (eds) Advances in Botanical Research. London: Academic Press, pp. 3986.Google Scholar
Dehgan, B and Webster, G (1979) Morphology and infrageneric relationships of the genus Jatropha (Euphorbiaceae). University of California Publications in Botany 74: 173.Google Scholar
Doyle, JJ and Doyle, JL (1990) Isolation of plant DNA from fresh tissue. Focus 12: 1315.Google Scholar
Earl, DA and Vonholdt, BM (2012) STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method. Conservation Genetics Resources 4: 359361.CrossRefGoogle Scholar
Evanno, G, Regnaut, S and Goudet, J (2005) Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Molecular Ecology 14: 26112620.CrossRefGoogle ScholarPubMed
Excoffier, L and Lischer, HEL (2010) Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows. Molecular Ecology Resources 10: 564567.Google Scholar
Ganesh, RS, Parthiban, KT, Senthil-Kumar, R, Thiruvengadam, V and Paramathma, M (2008) Genetic diversity among Jatropha species as revealed by RAPD markers. Genetic Resources and Crop Evolution 55: 803809.Google Scholar
Granados-Galván, IA (2009) Variación genética en accesiones de Jatropha curcas L. de la costa de Chiapas-Mexico, detectada mediante RAPD. MSc Thesis, Pedagogical and Technological University of Colombia..Google Scholar
Gubitz, GM, Mittelbach, M and Trabi, M (1999) Exploitation of the tropical seed plant Jatropha curcas L. Bioresource Technology 67: 7382.CrossRefGoogle Scholar
Hedrick, PW (2011) Genetics of Populations. Boston, MA: Jones & Bartlett Publishers, pp. 6775.Google Scholar
Heller, J (1996) Physic Nut Jatropha curcas L. Promoting the Conservation and Use of Underutilized and Neglected Crops 1. 1st edn. Rome: International Plant Genetics Resources Institute, pp. 1335.Google Scholar
Kalia, RK, Rai, MK, Kalia, S, Singh, R and Dhawan, AK (2011) Microsatellite markers: an overview of the recent progress in plants. Euphytica 177: 309334.Google Scholar
Loveless, MD and Hamrick, JL (1984) Ecological determinant of genetic structure in plant populations. Annual Review of Ecology and Systematics 15: 6595.Google Scholar
Mishra, DK (2009) Selection of candidate plus phenotypes of Jatropha curcas L. using method of paired comparisons. Biomass and Bioenergy 33: 542545.Google Scholar
Ovando-Medina, I, Sanchez-Gutierrez, A, Adriano-Anaya, L, Espinosa-Garcia, F, Núñez-Farfán, J and Salvador-Figueroa, M (2011 a) Genetic diversity in Jatropha curcas populations in the state of Chiapas, Mexico. Diversity 3: 641659.Google Scholar
Ovando-Medina, I, Espinosa-García, F, Núñez-Farfan, J and Salvador-Figueroa, M (2011 b) State of the art of genetic diversity research in Jatropha curcas . Scientific Research and Essays 6: 17091719.Google Scholar
Ovando-Medina, I, Espinosa-García, F, Núñez-Farfan, J and Salvador-Figueroa, M (2011 c) Genetic variation in Mexican Jatropha curcas L. estimated with seed oil fatty acids. Journal of Oleo Science 60: 301311.Google Scholar
Ovando-Medina, I, Adriano-Anaya, L, Vázquez-Ovando, A, Ruiz-González, S, Rincón-Rabanales, M and Salvador-Figueroa, M (2013) Genetic diversity of Jatropha curcas in Southern Mexico. Jatropha, Challenges for a New Energy Crop. vol. 2. New York: Springer, pp. 219250.CrossRefGoogle Scholar
Pamidimarri, DV, Sinha, R, Kothari, P and Reddy, MP (2009 a) Isolation of novel microsatellites from Jatropha curcas L. and their cross-species amplification. Molecular Ecology Resources 9: 431433.Google Scholar
Pamidimarri, DVN, Singh, S, Mastan, SG, Patel, J and Reddy, MP (2009 b) Molecular characterization and identification of markers for toxic and non-toxic varieties of Jatropha curcas L. using RAPD, AFLP and SSR markers. Molecular Biology Reports 36: 13571364.Google Scholar
Pamidimarri, DVN, Mastan, SG, Rahman, H, Ravi Prakash, C, Singh, S and Reddy, MP (2010) Cross species amplification ability of novel microsatellites isolated from Jatropha curcas and genetic relationship with sister taxa: Cross species amplification and genetic relationship of Jatropha using novel microsatellites. Molecular Biology Reports 38: 13831388.Google Scholar
Peakall, R and Smouse, PE (2012) Genalex 6.5: genetic analysis in Excel. Population genetic software for teaching and research – an update. Bioinformatics 28: 25372539.Google Scholar
Pecina-Quintero, V, Anaya, JL, Zamarripa, A, Montes, N, Núñez, C, Solís, J, Aguilar, M, Gill, H, Langarica, D and Mejía, J (2011) Molecular characterisation of Jatropha curcas L. genetic resources from Chiapas, México through AFLP markers. Biomass and Bioenergy 35: 18971905.Google Scholar
Pritchard, JK, Stephens, M and Donnelly, P (2000) Inference of population structure using multilocus genotype data. Genetics 155: 945959.Google Scholar
Renner, A and Zelt, T (2008) Global Market Study on Jatropha . Brussels: Gexsi, pp. 130.Google Scholar
Ricci, A, Chekhovskiy, K, Azhaguvel, P, Albertini, E, Falcinelli, M and Saha, M (2012) Molecular characterization of Jatropha curcas resources and identification of population-specific markers. Bioenergy Research 5: 215224.Google Scholar
Rosado, TB, Laviola, BG, Faria, DA, Pappas, MR, Bhering, LL, Quirino, B and Grattapaglia, D (2010) Molecular markers reveal limited genetic diversity in a large germplasm collection of the biofuel crop Jatropha curcas L. in Brazil. Crop Science 50: 23722382.CrossRefGoogle Scholar
Sambrook, J, Fritsch, EF and Maniatis, T (1989) Molecular Cloning: A Laboratory Manual, Vol. 3, Chapter 18: Detection and Analysis of Proteins Expressed from Cloned Genes. New York: Cold Spring Harbor Laboratory Press.Google Scholar
Sánchez-Gutiérrez, A (2010) Diversidad genética de poblaciones de Jatropha curcas L. del estado de Chiapas, México. Thesis, Autonomous University of Chiapas..Google Scholar
Sato, S, Hirakawa, H, Isobe, S, Fukai, E, Watanabe, A, Kato, M, Kawashima, K, Minami, C, Muraki, A, Nakazaki, N, Takahashi, C, Nakayama, S, Kishida, Y, Kohara, M, Yamada, M, Tsuruoka, H, Sasamoto, S, Tabata, S, Aizu, T, Toyoda, A, Shin-i, T, Minakuchi, Y, Kohara, Y, Fujiyama, A, Tsuchimoto, S, Kajiyama, S, Makigano, E, Ohmido, N, Shibagaki, N, Cartagena, JA, Wada, N, Kohinata, T, Atefeh, A, Yuasa, S, Matsunaga, S and Fukui, K (2011) Sequence analysis of the genome of an oil-bearing tree, Jatropha curcas L. DNA Research 18: 6576.Google Scholar
Singh, P, Singh, S, Mishra, SP and Bhatia, SK (2010) Molecular characterization of genetic diversity in Jatropha curcas L. Genes, Genomes and Genomics 4: 18.Google Scholar
Sudheer, PDVN, Pandya, N, Reddy, MP and Radhakrishnan, T (2008) Comparative study of interspecific genetic divergence and phylogenic analysis of genus Jatropha by RAPD and AFLP. Molecular Biology Reports 36: 901907.Google Scholar
Sun, QB, Li, LF, Li, Y, Wu, GJ and Ge, XJ (2008) SSR and AFLP markers reveal low genetic diversity in the biofuel plant Jatropha curcas in China. Crop Science 48: 18651871.Google Scholar
Van-Loo, EN, Jongschaap, REE, Montes-Osorio, LR and Arzudia, C (2008) Jatropha curcas L.: genetic diversity and breeding. In: Proceedings of the Jatropha International Congress, 17–18 December, Singapore .Google Scholar
Vekemans, X, Beauwens, T, Lemaire, M and Roldán-Ruiz, I (2002) Data from amplified fragment length polymorphism (AFLP) markers show indication of size homoplasy and of a relationship between degree of homoplasy and fragment size. Molecular Ecology 11: 139151.CrossRefGoogle ScholarPubMed
Vischi, M, Raranciuc, S and Baldini, M (2013) Evaluation of genetic diversity between toxic and non-toxic Jatropha curcas L. accessions using a set of simple sequence repeat (SSR) markers. African Journal of Biotechnology 12: 265274.Google Scholar
Wen, M, Wang, H, Xia, Z, Zou, M, Lu, C and Wang, W (2010) Development of EST-SSR and genomic-SSR markers to assess genetic diversity in Jatropha curcas L. BMC Research Notes 3: 42.Google Scholar
Xiang, ZY, Song, SQ, Wang, GJ, Chen, MS, Yang, CY and Long, CL (2007) Genetic diversity of Jatropha curcas (Euphorbiaceae) collected from Southern Yunnan, detected by inter-simple sequence repeat (ISSR). Acta Botanica Yunnanica 29: 619624.Google Scholar
Yadav, HK, Ranjan, A, Asif, MH, Mantri, S, Sawant, SV and Tuli, R (2011) EST-derived SSR markers in Jatropha curcas L.: development, characterization, polymorphism and transferability across the species/genera. Tree Genetics and Genomes 7: 207219.Google Scholar
Yu, C, Sun, D, Wud, G and Peng, J (2010) ISSR-based genetic diversity of Jatropha curcas germplasm in China. Biomass and Bioenergy 34: 17391750.Google Scholar
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