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Journal ArticleDOI

Genetic structure and diversity of cultivated soybean (Glycine max (L.) Merr.) landraces in China

TLDR
The Chinese genebank contains 23,587 soybean landraces collected from 29 provinces and seven clusters were inferred, providing the first molecular evidence for the hypotheses that the origin of cultivated soybean is the Yellow River region.
Abstract
The Chinese genebank contains 23,587 soybean landraces collected from 29 provinces. In this study, a representative collection of 1,863 landraces were assessed for genetic diversity and genetic differentiation in order to provide useful information for effective management and utilization. A total of 1,160 SSR alleles at 59 SSR loci were detected including 97 unique and 485 low-frequency alleles, which indicated great richness and uniqueness of genetic variation in this core collection. Seven clusters were inferred by STRUCTURE analysis, which is in good agreement with a neighbor-joining tree. The cluster subdivision was also supported by highly significant pairwise F st values and was generally in accordance with differences in planting area and sowing season. The cluster HSuM, which contains accessions collected from the region between 32.0 and 40.5°N, 105.4 and 122.2°E along the central and downstream parts of the Yellow River, was the most genetically diverse of the seven clusters. This provides the first molecular evidence for the hypotheses that the origin of cultivated soybean is the Yellow River region. A high proportion (95.1%) of pairs of alleles from different loci was in LD in the complete dataset. This was mostly due to overall population structure, since the number of locus pairs in LD was reduced sharply within each of the clusters compared to the complete dataset. This shows that population structure needs to be accounted for in association studies conducted within this collection. The low value of LD within the clusters can be seen as evidence that much of the recombination events in the past have been maintained in soybean, fixed in homozygous self-fertilizing landraces.

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Journal ArticleDOI

Genetic Data Analysis

TL;DR: The objectives of BIOS 781 are to present basic population and quantitative genetic principles, including classical genetics, chromosomal theory of inheritance, and meiotic recombination, and methods for genome-wide association and stratification control.
Journal ArticleDOI

Artificial selection for determinate growth habit in soybean

TL;DR: Genetic diversity of a minicore collection of Chinese soybean landraces assessed by simple sequence repeat (SSR) markers and allelic variation at the GmTfl1 locus suggest that human selection for determinacy took place at early stages of landrace radiation.
Journal ArticleDOI

Soybean Bioactive Peptides and Their Functional Properties

TL;DR: Overall, progress has been made in understanding the functional and bioactive components of soy, however, more studies are required to further identify their target organs, and elucidate their biological mechanisms of action in order to be potentially used as functional foods or even therapeutics for the prevention or treatment of chronic diseases.
References
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Journal ArticleDOI

Inference of population structure using multilocus genotype data

TL;DR: Pritch et al. as discussed by the authors proposed a model-based clustering method for using multilocus genotype data to infer population structure and assign individuals to populations, which can be applied to most of the commonly used genetic markers, provided that they are not closely linked.
Journal ArticleDOI

Inference of Population Structure Using Multilocus Genotype Data: Linked Loci and Correlated Allele Frequencies

TL;DR: Extensions to the method of Pritchard et al. for inferring population structure from multilocus genotype data are described and methods that allow for linkage between loci are developed, which allows identification of subtle population subdivisions that were not detectable using the existing method.
Journal ArticleDOI

Genetic Structure of Human Populations

TL;DR: General agreement of genetic and predefined populations suggests that self-reported ancestry can facilitate assessments of epidemiological risks but does not obviate the need to use genetic information in genetic association studies.
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