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QTLomics in Soybean: A Way Forward for Translational Genomics and Breeding

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 quantitati...

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Autores principales: Kumawat, Giriraj, Gupta, Sanjay, Ratnaparkhe, Milind B., Maranna, Shivakumar, Satpute, Gyanesh K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5174554/
https://www.ncbi.nlm.nih.gov/pubmed/28066449
http://dx.doi.org/10.3389/fpls.2016.01852
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author Kumawat, Giriraj
Gupta, Sanjay
Ratnaparkhe, Milind B.
Maranna, Shivakumar
Satpute, Gyanesh K.
author_facet Kumawat, Giriraj
Gupta, Sanjay
Ratnaparkhe, Milind B.
Maranna, Shivakumar
Satpute, Gyanesh K.
author_sort Kumawat, Giriraj
collection PubMed
description 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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spelling pubmed-51745542017-01-06 QTLomics in Soybean: A Way Forward for Translational Genomics and Breeding Kumawat, Giriraj Gupta, Sanjay Ratnaparkhe, Milind B. Maranna, Shivakumar Satpute, Gyanesh K. Front Plant Sci Plant Science 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. Frontiers Media S.A. 2016-12-21 /pmc/articles/PMC5174554/ /pubmed/28066449 http://dx.doi.org/10.3389/fpls.2016.01852 Text en Copyright © 2016 Kumawat, Gupta, Ratnaparkhe, Maranna and Satpute. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Kumawat, Giriraj
Gupta, Sanjay
Ratnaparkhe, Milind B.
Maranna, Shivakumar
Satpute, Gyanesh K.
QTLomics in Soybean: A Way Forward for Translational Genomics and Breeding
title QTLomics in Soybean: A Way Forward for Translational Genomics and Breeding
title_full QTLomics in Soybean: A Way Forward for Translational Genomics and Breeding
title_fullStr QTLomics in Soybean: A Way Forward for Translational Genomics and Breeding
title_full_unstemmed QTLomics in Soybean: A Way Forward for Translational Genomics and Breeding
title_short QTLomics in Soybean: A Way Forward for Translational Genomics and Breeding
title_sort qtlomics in soybean: a way forward for translational genomics and breeding
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5174554/
https://www.ncbi.nlm.nih.gov/pubmed/28066449
http://dx.doi.org/10.3389/fpls.2016.01852
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