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The Genetic Diversity and Geographic Differentiation of the Wild Soybean in Northeast China Based on Nuclear Microsatellite Variation
In this study, the genetic diversity and population structure of 205 wild soybean core collections in Northeast China from nine latitude populations and nine longitude populations were evaluated using SSR markers. A total of 973 alleles were detected by 43 SSR loci, and the average number of alleles...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6011050/ https://www.ncbi.nlm.nih.gov/pubmed/29977903 http://dx.doi.org/10.1155/2018/8561458 |
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author | Zhao, Hongkun Wang, Yumin Xing, Fu Liu, Xiaodong Yuan, Cuiping Qi, Guangxun Guo, Jixun Dong, Yingshan |
author_facet | Zhao, Hongkun Wang, Yumin Xing, Fu Liu, Xiaodong Yuan, Cuiping Qi, Guangxun Guo, Jixun Dong, Yingshan |
author_sort | Zhao, Hongkun |
collection | PubMed |
description | In this study, the genetic diversity and population structure of 205 wild soybean core collections in Northeast China from nine latitude populations and nine longitude populations were evaluated using SSR markers. A total of 973 alleles were detected by 43 SSR loci, and the average number of alleles per locus was 22.628. The mean Shannon information index (I) and the mean expected heterozygosity were 2.528 and 0.879, respectively. At the population level, the regions of 42°N and 124°E had the highest genetic diversity among all latitudes and longitudes. The greater the difference in latitude was, the greater the genetic distance was, whereas a similar trend was not found in longitude populations. Three main clusters (1N, <41°N-42°N; 2N, 43°N-44°N; and 3N, 45°N–>49°N) were assigned to populations. AMOVA analysis showed that the genetic differentiation among latitude and longitude populations was 0.088 and 0.058, respectively, and the majority of genetic variation occurred within populations. The Mantel test revealed that genetic distance was significantly correlated with geographical distance (r = 0.207, p < 0.05). Furthermore, spatial autocorrelation analysis showed that there was a spatial structure (ω = 119.58, p < 0.01) and the correlation coefficient (r) decreased as distance increased within a radius of 250 km. |
format | Online Article Text |
id | pubmed-6011050 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-60110502018-07-05 The Genetic Diversity and Geographic Differentiation of the Wild Soybean in Northeast China Based on Nuclear Microsatellite Variation Zhao, Hongkun Wang, Yumin Xing, Fu Liu, Xiaodong Yuan, Cuiping Qi, Guangxun Guo, Jixun Dong, Yingshan Int J Genomics Research Article In this study, the genetic diversity and population structure of 205 wild soybean core collections in Northeast China from nine latitude populations and nine longitude populations were evaluated using SSR markers. A total of 973 alleles were detected by 43 SSR loci, and the average number of alleles per locus was 22.628. The mean Shannon information index (I) and the mean expected heterozygosity were 2.528 and 0.879, respectively. At the population level, the regions of 42°N and 124°E had the highest genetic diversity among all latitudes and longitudes. The greater the difference in latitude was, the greater the genetic distance was, whereas a similar trend was not found in longitude populations. Three main clusters (1N, <41°N-42°N; 2N, 43°N-44°N; and 3N, 45°N–>49°N) were assigned to populations. AMOVA analysis showed that the genetic differentiation among latitude and longitude populations was 0.088 and 0.058, respectively, and the majority of genetic variation occurred within populations. The Mantel test revealed that genetic distance was significantly correlated with geographical distance (r = 0.207, p < 0.05). Furthermore, spatial autocorrelation analysis showed that there was a spatial structure (ω = 119.58, p < 0.01) and the correlation coefficient (r) decreased as distance increased within a radius of 250 km. Hindawi 2018-06-06 /pmc/articles/PMC6011050/ /pubmed/29977903 http://dx.doi.org/10.1155/2018/8561458 Text en Copyright © 2018 Hongkun Zhao et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Zhao, Hongkun Wang, Yumin Xing, Fu Liu, Xiaodong Yuan, Cuiping Qi, Guangxun Guo, Jixun Dong, Yingshan The Genetic Diversity and Geographic Differentiation of the Wild Soybean in Northeast China Based on Nuclear Microsatellite Variation |
title | The Genetic Diversity and Geographic Differentiation of the Wild Soybean in Northeast China Based on Nuclear Microsatellite Variation |
title_full | The Genetic Diversity and Geographic Differentiation of the Wild Soybean in Northeast China Based on Nuclear Microsatellite Variation |
title_fullStr | The Genetic Diversity and Geographic Differentiation of the Wild Soybean in Northeast China Based on Nuclear Microsatellite Variation |
title_full_unstemmed | The Genetic Diversity and Geographic Differentiation of the Wild Soybean in Northeast China Based on Nuclear Microsatellite Variation |
title_short | The Genetic Diversity and Geographic Differentiation of the Wild Soybean in Northeast China Based on Nuclear Microsatellite Variation |
title_sort | genetic diversity and geographic differentiation of the wild soybean in northeast china based on nuclear microsatellite variation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6011050/ https://www.ncbi.nlm.nih.gov/pubmed/29977903 http://dx.doi.org/10.1155/2018/8561458 |
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