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...

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Main Authors: Hongkun Zhao, Yumin Wang, Fu Xing, Xiaodong Liu, Cuiping Yuan, Guangxun Qi, Jixun Guo, Yingshan Dong
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:International Journal of Genomics
Online Access:http://dx.doi.org/10.1155/2018/8561458
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author Hongkun Zhao
Yumin Wang
Fu Xing
Xiaodong Liu
Cuiping Yuan
Guangxun Qi
Jixun Guo
Yingshan Dong
author_facet Hongkun Zhao
Yumin Wang
Fu Xing
Xiaodong Liu
Cuiping Yuan
Guangxun Qi
Jixun Guo
Yingshan Dong
author_sort Hongkun Zhao
collection DOAJ
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.
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institution Kabale University
issn 2314-436X
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publishDate 2018-01-01
publisher Wiley
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series International Journal of Genomics
spelling doaj-art-0ee606e0737948cbb93fe332033f745c2025-02-03T01:20:03ZengWileyInternational Journal of Genomics2314-436X2314-43782018-01-01201810.1155/2018/85614588561458The Genetic Diversity and Geographic Differentiation of the Wild Soybean in Northeast China Based on Nuclear Microsatellite VariationHongkun Zhao0Yumin Wang1Fu Xing2Xiaodong Liu3Cuiping Yuan4Guangxun Qi5Jixun Guo6Yingshan Dong7Key Laboratory of Vegetation Ecology, Ministry of Education, Institute of Grassland Sciences, Northeast Normal University, Changchun 130024, ChinaInstitute of Soybean Research, Jilin Academy of Agricultural Sciences, Changchun 130033, ChinaKey Laboratory of Vegetation Ecology, Ministry of Education, Institute of Grassland Sciences, Northeast Normal University, Changchun 130024, ChinaInstitute of Soybean Research, Jilin Academy of Agricultural Sciences, Changchun 130033, ChinaInstitute of Soybean Research, Jilin Academy of Agricultural Sciences, Changchun 130033, ChinaInstitute of Crop Germplasms, Jilin Academy of Agricultural Sciences, Gongzhuling 136100, ChinaKey Laboratory of Vegetation Ecology, Ministry of Education, Institute of Grassland Sciences, Northeast Normal University, Changchun 130024, ChinaInstitute of Crop Germplasms, Jilin Academy of Agricultural Sciences, Gongzhuling 136100, ChinaIn 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.http://dx.doi.org/10.1155/2018/8561458
spellingShingle Hongkun Zhao
Yumin Wang
Fu Xing
Xiaodong Liu
Cuiping Yuan
Guangxun Qi
Jixun Guo
Yingshan Dong
The Genetic Diversity and Geographic Differentiation of the Wild Soybean in Northeast China Based on Nuclear Microsatellite Variation
International Journal of Genomics
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
url http://dx.doi.org/10.1155/2018/8561458
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