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Deciphering population structure and diversity in Luffa cylindrica (L.) M. Roem. using morphological and sequence-related amplified polymorphism markers

Published online by Cambridge University Press:  21 July 2015

Ruchi Tyagi
Affiliation:
Department of Bioscience and Biotechnology, Banasthali University, Banasthali-304022, Rajasthan, India
Vinay Sharma*
Affiliation:
Department of Bioscience and Biotechnology, Banasthali University, Banasthali-304022, Rajasthan, India
Amish Kumar Sureja
Affiliation:
Division of Vegetable Science, Indian Agricultural Research Institute, New Delhi-110 012, India
Anilabh Das Munshi
Affiliation:
Division of Vegetable Science, Indian Agricultural Research Institute, New Delhi-110 012, India
Lalit Arya
Affiliation:
Division of Genomic Resources, National Research Centre on DNA Fingerprinting, IARI, New Delhi-110 012, India
Manjusha Verma
Affiliation:
Division of Genomic Resources, National Research Centre on DNA Fingerprinting, IARI, New Delhi-110 012, India
*
*Corresponding author. E-mail: [email protected]

Abstract

Luffa cylindrica (L.) M. Roem. is an underutilized vegetable and a potential biodiesel crop for future. Its fruits are edible and used as vegetable. To aid in the selection of lines for breeding, genetic variation and structure of ten populations of L. cylindrica were determined with three morphological characters and 23 sequence-related amplified polymorphism (SRAP) markers. All the three morphological characters were found diverse among 45 accessions. The SRAP primers produced a total of 177 bands, out of which 129 were polymorphic. Informative markers assessed by different measures (polymorphism information content = 0.18, marker index = 1.26, resolving power = 2.87) will direct the selection of primers for cultivar identification in L. cylindrica. Low level of genetic differentiation among populations and higher level within populations (Gst= 0.4073, Nm= 0.7277, He= 0.124, I= 0.20) was detected that might be due to cross-pollinated nature of L. cylindrica. The clustering pattern obtained through dendrogram and principal coordinate analysis was loosely concordant with the geographical distribution. The Bayesian structure analysis indicated an admixture type of population distribution. The results designate that SRAP and morphological markers are informative for characterization of L. cylindrica and identification of distinctive cultivars.

Type
Short Communications
Copyright
Copyright © NIAB 2015 

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References

Bal, KJ, Hari, BKC, Radha, KT, Madhusudan, G, Bhuwon, RS and Madhusudan, PU (2004) Descriptors for Sponge Gourd [Luffa cylindrica (L.) Roem.] . Kathmandu, Nepal: NARC, LIBIRD and IPGRI.Google Scholar
Bhardwaj, H and Srivastava, M (2012) A study on insect visitors of certain cucurbit vegetable crops in an agro-ecosystem near Bikaner, Rajasthan, India. Journal Academica 2: 99126.Google Scholar
Borba, EL, Semir, J and Shepherd, GJ (2001) Self-incompatibility, inbreeding depression and crossing potential in five Brazilian pleurothallis (Orchidaceae) species. Annals of Botany 88: 8999.Google Scholar
Chandra, U (1995) Distribution, domestication and genetic diversity of Luffa gourd in Indian subcontinent. Indian Journal of Plant Genetic Resources 8: 189196.Google Scholar
Cruz, VMV, Tolentino, MIS, Altoveros, NC, Villavicencio, MLH, Siopongco, LB, dela Vina, AC and Laude, RP (1997) Correlations among accessions of Southeast Asian Luffa genetic resources and variability estimated by morphological and biochemical methods. Philippines Journal of Crop Science 22: 131140.Google Scholar
De Riek, J, Calsyn, E, Everaert, I, Bockstaele, EV and Loose, MD (2001) AFLP based alternatives for the assessment of distinctness, uniformity and stability of sugar beet varieties. Theoretical and Applied Genetics 103: 12541265.Google Scholar
Frankham, R (1996) Relationship of genetic variation to population size in wildlife. Conservation Biology 10: 15001508.Google Scholar
Hamrick, JL and Godt, MJW (1996) Effects of life history traits on genetic diversity in plant species. Philosophical Transactions of the Royal Society of London, B 351: 12911298.Google Scholar
Hamrick, JL, Godt, MJW and Sherman-Broyles, SL (1992) Factors influencing levels of genetic diversity in woody plant species. New Forests 6: 95124.CrossRefGoogle Scholar
Huang, Y, Zhang, CQ and Li, DZ (2009) Low genetic diversity and high genetic differentiation in the critically endangered Omphalogramma souliei (Primulaceae): implications for its conservation. Journal of Systematics and Evolution 4: 103109.CrossRefGoogle Scholar
Jaenicke, H and Höschie-Zeiedon, I (2006) Strategic Framework for Underutilized Plant Species Research and Development, with Specific Reference to Asia and the Pacific, and to Sub-Saharan Africa. Rome, Italy: International Centre for Underutilized Crops, Colombo, Sri Lanka and Global Facilitation Unit for Underutilized Species, p. 33.Google Scholar
Jayaramappa, KV, Pattabhiramaiah, M and Bhargava, HR (2011) Influence of bee-attractants on yield parameters of ridge gourd (Luffa acutangula L.) (Cucurbitaceae). World Applied Sciences Journal 15: 457462.Google Scholar
Kalinowski, ST (2009) How well do evolutionary trees describe genetic relationships among populations? Heredity 102: 506513. doi:10.1038/hdy.2008.Google Scholar
Kumar, A and Shekhawat, NS (2009) Plant tissue culture and molecular markers. Their role in improving crop productivity. New Delhi: I.K. International.Google Scholar
Levin, RA and Miller, JS (2005) Relationships within tribe Lycieae (Solanaceae): paraphyly of Lycium and multiple origins of gender dimorphism. American Journal of Botany 92: 20442053.Google Scholar
Li, G and Quiros, CF (2001) Sequence-related amplified polymorphism (SRAP), a new marker system based on a simple PCR reaction: its application to mapping and gene tagging in Brassica . Theoretical and Applied Genetics 103: 455461.Google Scholar
Li, G, Gao, M, Yang, B and Quiros, CF (2003) Gene for gene alignment between the Brassica and Arabidopsis genomes by direct transcriptome mapping. Theoretical and Applied Genetics 107: 168180.Google Scholar
Malik, IJ, Ellington, TL, Wehner, TC and Sanders, DC (2001) Seed treatment effects on emergence of Luffa sponge gourd. Cucurbit Genetics Cooperative Report 24: 107109.Google Scholar
Marr, KL, Bhattarai, NK and Xia, YM (2005) Allozymic, morphological, and phenological diversity in cultivated Luffa acutangula (Cucurbitaceae) from China, Laos, and Nepal, and allozyme divergence between L. acutangula and L. aegyptiaca . Economic Botany 59: 154165.Google Scholar
McDermott, J and McDonald, B (1993) Gene flow in plant pathosystems. Annual Review of Phytopathology 31: 353373.Google Scholar
Nei, M (1973) Analysis of gene diversity in subdivided populations. Proceedings of the National Academy of Sciences of the United States of America 70: 33213324.Google Scholar
Nybom, H (2004) Comparison of different nuclear DNA markers for estimating intraspecific genetic diversity in plants. Molecular Ecology 13: 11431155.Google Scholar
Nybom, H and Bartish, IV (2000) Effects of life history traits and sampling strategies on genetic diversity estimates obtained with RAPD markers in plants. Perspectives in Plant Ecology, Evolution and Systematics 3: 93114.Google Scholar
Oboh, O and Aluyor, EO (2009) Luffa cylindrica – an emerging cash crop. African Journal of Agricultural Research 4: 684688.Google Scholar
Partap, S, Kumar, A, Sharma, NK and Jha, KK (2012) Luffa cylindrica: an important medicinal plant. Journal of Natural Product and Plant Resources 2: 127134.Google Scholar
Powell, W, Morgante, M, Andre, C, Hanafey, M, Vogel, J, Tingey, S and Rafalski, A (1996) The comparison of RFLP, RAPD, AFLP and SSR (microsatellite) markers for germplasm analysis. Molecular Breeding 2: 225238.Google Scholar
Prakash, K, Pandey, A, Radhamani, J and Bisht, IS (2013a) Morphological variability in cultivated and wild species of Luffa (Cucurbitaceae) from India. Genetic Resources Crop Evolution 60: 23192329 doi:10.1007/s10722-013-9999-7 Google Scholar
Prakash, K, Radhamani, J, Pandey, A and Yadav, S (2013b) A preliminary investigation of cultivated and wild species of Luffa for oil and protein contents. Plant Genetic Resources: Characterization and Utilization 12: 103111.Google Scholar
Prakash, K, Pati, K, Arya, L, Pandey, A and Verma, M (2014) Population structure and diversity in cultivated and wild Luffa species. Biochemical Systematics and Ecology 56: 165170 doi:10.1016/jbse.2014.05.012 Google Scholar
Prevost, A and Wilkinson, MJ (1999) A new system of comparing PCR primers applied to ISSR fingerprinting of potato cultivars. Theoretical and Applied Genetics 98: 107112.Google Scholar
Pritchard, JK, Stephens, P and Donnelly, P (2000) Inference of population structure using multilocus genotype data. Genetics 155: 945959.Google Scholar
Rohlf, FJ (2000) NTSYS-pc: Numerical Taxonomy and Multivariate Analysis System, Version 2.1. Setauket, New York: Exeter Software.Google Scholar
Saghai-Maroof, MA, Soliman, KM, Jorgesm, RA and Allard, RW (1984) Ribosomal DNA spacer-length polymorphisms in barley: mendelian inheritance, chromosomal location, and population dynamics. Proceedings of the National Academy of Sciences of the United States of America 81: 80148018.Google Scholar
Silva, MWKP, Ranil, RHG and Fonseka, RM (2012) Luffa cylindrica (L.) M. Roemer (Sponge Gourd-Niyan wetakolu): an emerging high potential underutilized cucurbit. Tropical Agriculture Research 23: 186191.Google Scholar
Sinnot, EW and Bloch, R (1943) Luffa sponges, a new crop for the Americas. Journal of New York Botanical Garden 44: 125134.Google Scholar
Sujatha, D, Chithakari, R, Raghuvardhan, L, Prasad, B, Khan, RG, Sadanandam, A and Christopher, RT (2013) In vitro plantlet regeneration and genetic transformation of sponge gourd (Luffa cylindrica L.). African Journal of Plant Science 7: 244252.Google Scholar
Yeh, FC and Boyle, TJB (1997) Population genetic analysis of codominant and dominant markers and quantitative traits. Belgian Journal of Botany 129: 157.Google Scholar
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