ArticleEcology and evolution2016
Environmental versus geographical effects on genomic variation in wild soybean (Glycine soja) across its native range in northeast Asia.
Article in Ecology and evolution, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
18 citing papers in PubMed.
- Pan-genome analysis uncovers extensive structural variations in Africa's indigenous legume crop cowpea.Nature communications · 2026Article
- Dissecting seed composition QTL from wild soybean: fine-mapping, candidate gene identification, and evaluation of introgression effects on agronomic performance.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Contrasting Roles of the Multiple Seas in East Asia on Population Divergence ofEcology and evolution · 2025Article
- The Population Divergence and Genetic Basis of Local Adaptation of Wild Soybean (Plants (Basel, Switzerland) · 2023Article
- Article
- Whole-genome resequencing reveals signature of local adaptation and divergence in wild soybean.Evolutionary applications · 2022Article
- ABA-Dependent Regulation of Calcium-Dependent Protein Kinase GeneLife (Basel, Switzerland) · 2022Article
- Exploring japonica rice epigenetic diversity in the main production regions of Heilongjiang Province.Scientific reports · 2022Article
- Putative variants, genetic diversity and population structure among Soybean cultivars bred at different ages in Huang-Huai-Hai region.Scientific reports · 2022Article
- Deciphering Main Climate and Edaphic Components Driving Oat Adaptation to Mediterranean Environments.Frontiers in plant science · 2021Article
- Landscape genetics reveals that adaptive genetic divergence in Pinus bungeana (Pinaceae) is driven by environmental variables relating to ecological habitats.BMC evolutionary biology · 2019Article
- Neglected treasures in the wild - legume wild relatives in food security and human health.Current opinion in plant biology · 2019Review
- Genetic association with high-resolution climate data reveals selection footprints in the genomes of barley landraces across the Iberian Peninsula.Molecular ecology · 2019Article
- Genomic Signatures of Adaptation to a Precipitation Gradient in Nigerian Sorghum.G3 (Bethesda, Md.) · 2018Article
- The Genetic Diversity and Geographic Differentiation of the Wild Soybean in Northeast China Based on Nuclear Microsatellite Variation.International journal of genomics · 2018Article
- The Untapped Genetic Reservoir: The Past, Current, and Future Applications of the Wild Soybean (Frontiers in plant science · 2018Review
- Ten Years of Landscape Genomics: Challenges and Opportunities.Frontiers in plant science · 2017Review
- Assessing and Exploiting Functional Diversity in Germplasm Pools to Enhance Abiotic Stress Adaptation and Yield in Cereals and Food Legumes.Frontiers in plant science · 2017Review
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A fundamental goal in evolutionary biology is to understand how various evolutionary factors interact to affect the population structure of diverse species, especially those of ecological and/or agricultural importance such as wild soybean (Glycine soja). G. soja, from which domesticated soybeans (Glycine max) were derived, is widely distributed throughout diverse habitats in East Asia (Russia, Japan, Korea, and China). Here, we utilize over 39,000 single nucleotide polymorphisms genotyped in 99 ecotypes of wild soybean sampled across their native geographic range in northeast Asia, to understand population structure and the relative contribution of environment versus geography to population differentiation in this species. A STRUCTURE analysis identified four genetic groups that largely corresponded to the geographic regions of central China, northern China, Korea, and Japan, with high levels of admixture between genetic groups. A canonical correlation and redundancy analysis showed that environmental factors contributed 23.6% to population differentiation, much more than that for geographic factors (6.6%). Precipitation variables largely explained divergence of the groups along longitudinal axes, whereas temperature variables contributed more to latitudinal divergence. This study provides a foundation for further understanding of the genetic basis of climatic adaptation in this ecologically and agriculturally important species.
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