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Genetic diversity analysis using simple sequence repeat markers in soybean

Published online by Cambridge University Press:  16 July 2014

Zhenbin Hu
Affiliation:
National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing210095, People's Republic of China
Guizhen Kan
Affiliation:
National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing210095, People's Republic of China
Guozheng Zhang
Affiliation:
National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing210095, People's Republic of China
Dan Zhang
Affiliation:
Department of Agronomy, Henan Agricultural University, Zhengzhou450002, People's Republic of China
Derong Hao
Affiliation:
Nantong Institute of Agricultural Sciences, Nantong, Jiangsu226541, People's Republic of China
Deyue Yu*
Affiliation:
National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing210095, People's Republic of China
*
* Corresponding author. E-mail: dyyu@njau.edu.cn

Abstract

To evaluate the genetic diversity (GD) of wild and cultivated soybeans and determine the genetic relationships between them, in this study, 127 wild soybean accessions and 219 cultivated soybean accessions were genotyped using 74 simple sequence repeat (SSR) markers. The results of the study revealed that the GD of the wild soybeans exceeded that of the cultivated soybeans. In all, 924 alleles were detected in the 346 soybean accessions using 74 SSRs, with an average of 12.49 alleles per locus. In the 219 cultivated soybean accessions, 687 alleles were detected, with an average of 9.28 alleles per locus; in the 127 wild soybean accessions, 835 alleles were detected, with an average of 11.28 alleles per locus. We identified 237 wild-soybean-specific alleles and 89 cultivated-soybean-specific alleles in the 346 soybean accessions, and these alleles accounted for 35.28% of all the alleles in the sample. Principal coordinates analysis and phylogenetic analysis based on Nei's genetic distance indicated that all the accessions could be classified into two major clusters, corresponding to wild and cultivated soybeans. These results will increase our understanding of the genetic differences and relationships between wild and cultivated soybeans and provide information to develop future breeding strategies to improve soybean yield.

Type
Research Article
Copyright
Copyright © NIAB 2014 

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References

Buckler, ES, Thornsberry, JM and Kresovich, S (2001) Molecular diversity, structure and domestication of grasses. Genetical Research 77: 213218.CrossRefGoogle ScholarPubMed
Caicedo, AL, Williamson, SH, Hernandez, RD, Boyko, A, Fledel-Alon, A, York, TL, Polato, NR, Olsen, KM, Nielsen, R, McCouch, SR, Bustamante, CD and Purugganan, MD (2007) Genome-wide patterns of nucleotide polymorphism in domesticated rice. PLoS Genetics 3: 17451756.CrossRefGoogle ScholarPubMed
Chao, M, Yin, Z, Hao, D, Zhang, J, Song, H, Ning, A, Xu, X and Yu, D (2014) Variation in Rubisco activase (RCAβ) gene promoters and expression in soybean [Glycine max (L.) Merr.]. Journal of Experimental Botany 65: 4759.Google Scholar
Doebley, JF, Gaut, BS and Smith, BD (2006) The molecular genetics of crop domestication. Cell 127: 13091321.CrossRefGoogle ScholarPubMed
Gai, JY, Xu, DH, Gao, Z, Shimamoto, Y, Abe, J, Fukushi, H and Kitajima, S (2000) Studies on the evolutionary relationship among eco-types of G. max and G. soja in China. Acta Agronomica Sinica 26: 513520.Google Scholar
Hu, Z, Zhang, D, Zhang, G, Kan, G, Hong, D and Yu, D (2014) Association mapping of yield-related traits and SSR markers in wild soybean (Glycine soja Sieb. and Zucc.). Breeding science 63: 19.Google Scholar
Hwang, TY, Sayama, T, Takahashi, M, Takada, Y, Nakamoto, Y, Funatsuki, H, Hisano, H, Sasamoto, S, Sato, S, Tabata, S, Kono, I, Hoshi, M, Hanawa, M, Yano, C, Xia, ZJ, Harada, K, Kitamura, K and Ishimoto, M (2009) High-density integrated linkage map based on SSR markers in soybean. DNA Research 16: 213225.CrossRefGoogle ScholarPubMed
Hyten, D, Song, Q, Zhu, Y, Choi, IY, Nelson, RL, Costa, JM, Specht, JE, Shoemaker, RC and Cregan, PB (2006) Impacts of genetic bottlenecks on soybean genome diversity. Proceedings of the National Academy of Sciences USA 103: 1666616671.CrossRefGoogle ScholarPubMed
Kuroda, Y, Kaga, A, Tomooka, N and Vaughan, AD (2006) Population genetic structure of Japanese wild soybean (Glycine soja) based on microsatellite variation. Molecular Ecology 15: 959974.CrossRefGoogle ScholarPubMed
Lam, HM, Xu, X, Liu, X, Chen, WB, Yang, GH, Wong, FL, Li, MW, He, WM, Qin, N, Wang, B, Li, J, Jian, M, Wang, J, Shao, GH, Wang, J, Sun, SSM and Zhang, GY (2010) Re-sequencing of 31 wild and cultivated soybean genomes identifies patterns of genetic diversity and selection. Nature Genetics 42: 10531059.CrossRefGoogle Scholar
Li, YH, Li, W, Zhang, C, Yang, L, Chang, RZ, Gaut, BS and Qiu, L (2010) Genetic diversity in domesticated soybean (Glycine max) and its wild progenitor (Glycine soja) for simple sequence repeat and single-nucleotide polymorphism loci. New Phytologist 188: 242253.Google Scholar
Liu, K and Muse, S (2005) Powermarker: an integrated analysis environment for genetic marker analysis. Bioinformatics 21: 21282129.Google Scholar
Nei, M (1972) Genetic distance between populations. Amer. Naturalist 106: 283292.Google Scholar
Perrier, X and Jacquemoud-Collet, JP (2006) DARwin software. Available at http://darwin.cirad.fr/.Google Scholar
R Development Core Team (2010) R: A Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing.Google Scholar
Song, QJ, Marek, LF, Shoemaker, RC, Lark, KG, Concibido, VC, Delannay, X, Specht, JE and Cregan, PB (2004) A new integrated genetic linkage map of the soybean. Theoretical and Applied Genetics 109: 122128.CrossRefGoogle ScholarPubMed
Vigouroux, Y, Mitchell, S, Matsuoka, Y, Hamblin, M, Kresovich, S, Smith, JSS, Jaqueth, J, Smith, OS and Doebley, JF (2005) An analysis of genetic diversity across the maize genome using microsatellites. Genetics 169: 16171630.Google Scholar
Wen, ZX, Ding, YL, Zhao, YJ and Gai, JY (2009) Genetic diversity and peculiarity of annual wild soybean (Glycine soja Sieb. & Zucc.) from various eco-regions in China. Theoretical and Applied Genetics 119: 371381.Google Scholar
Xu, DH and Gai, JY (2003) Genetic diversity of wild and cultivated soybeans growing in China revealed by RAPD analysis. Plant Breeding 122: 503506.Google Scholar
Xu, Y, Li, H, Li, G, Wang, X, Cheng, L and Zhang, Y (2010) Mapping quantitative trait loci for seed size traits in soybean (Glycine max L. Merr.). Theoretical and Applied Genetics 122: 581594.Google Scholar
Zhang, D, Zhang, H, Wang, M, Sun, J, Qi, Y, Wang, F, Wei, X, Han, L, Wang, X and Li, Z (2009) Genetic structure and differentiation of Oryza sativa L. in China revealed by microsatellites. Theoretical and Applied Genetics 119: 11051117.Google Scholar
Zhang, D, Bai, G, Zhu, C, Yu, J and Carver, B (2010) Genetic diversity, population structure, and linkage disequilibrium in U.S. elite winter wheat. Plant Genome 3: 117127.Google Scholar