ReviewFrontiers in plant science2016
QTLomics in Soybean: A Way Forward for Translational Genomics and Breeding.
Review in Frontiers in plant science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Multi-Season Multi-Model GWAS Prioritizes Stable Genomic Loci and Candidate Genes for Six Agronomic Traits in Soybean Under Conditions in Southeastern Kazakhstan.Plants (Basel, Switzerland) · 2026Article
- GmMYB93 increases aroma formation in soybean by inhibiting the expression of a betaine aldehyde dehydrogenase gene.aBIOTECH · 2025Article
- High resolution QTL mapping and candidate gene mining for seed oil content and fatty acid composition in soybean.BMC plant biology · 2025Article
- AInternational journal of genomics · 2024Article
- Marker-Assisted Selection for Early MaturingBiomolecules · 2023Article
- The developmental dynamics in cool season legumes with focus on chickpea.Plant molecular biology · 2023Review
- Prospects of genetics and breeding for low-phosphate tolerance: an integrated approach from soil to cell.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Review
- Progress and prospectus in genetics and genomics ofFrontiers in genetics · 2022Review
- SoyMAGIC: An Unprecedented Platform for Genetic Studies and Breeding Activities in Soybean.Frontiers in plant science · 2022Article
- Systems biology for crop improvement.The plant genome · 2021Review
- A Major and Stable Quantitative Trait LocusFrontiers in genetics · 2021Article
- Identification of Loci and Candidate Genes Responsible for Pod Dehiscence in Soybean via Genome-Wide Association Analysis Across Multiple Environments.Frontiers in plant science · 2019Article
- Genome-wide identification and characterization of InDels and SNPs in Glycine max and Glycine soja for contrasting seed permeability traits.BMC plant biology · 2018Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Food legumes play an important role in attaining both food and nutritional security along with sustainable agricultural production for the well-being of humans globally. The various traits of economic importance in legume crops are complex and quantitative in nature, which are governed by quantitative trait loci (QTLs). Mapping of quantitative traits is a tedious and costly process, however, a large number of QTLs has been mapped in soybean for various traits albeit their utilization in breeding programmes is poorly reported. For their effective use in breeding programme it is imperative to narrow down the confidence interval of QTLs, to identify the underlying genes, and most importantly allelic characterization of these genes for identifying superior variants. In the field of functional genomics, especially in the identification and characterization of gene responsible for quantitative traits, soybean is far ahead from other legume crops. The availability of genic information about quantitative traits is more significant because it is easy and effective to identify homologs than identifying shared syntenic regions in other crop species. In soybean, genes underlying QTLs have been identified and functionally characterized for phosphorous efficiency, flowering and maturity, pod dehiscence, hard-seededness, α-Tocopherol content, soybean cyst nematode, sudden death syndrome, and salt tolerance. Candidate genes have also been identified for many other quantitative traits for which functional validation is required. Using the sequence information of identified genes from soybean, comparative genomic analysis of homologs in other legume crops could discover novel structural variants and useful alleles for functional marker development. The functional markers may be very useful for molecular breeding in soybean and harnessing benefit of translational research from soybean to other leguminous crops. Thus, soybean crop can act as a model crop for translational genomics and breeding of quantitative traits in legume crops. In this review, we summarize current status of identification and characterization of genes underlying QTLs for various quantitative traits in soybean and their significance in translational genomics and breeding of other legume crops.
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