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Current knowledge in lentil genomics and its application for crop improvement

Most of the lentil growing countries face a certain set of abiotic and biotic stresses causing substantial reduction in crop growth, yield, and production. Until-to date, lentil breeders have used conventional plant breeding techniques of selection-recombination-selection cycle to develop improved c...

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Autores principales: Kumar, Shiv, Rajendran, Karthika, Kumar, Jitendra, Hamwieh, Aladdin, Baum, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4337236/
https://www.ncbi.nlm.nih.gov/pubmed/25755659
http://dx.doi.org/10.3389/fpls.2015.00078
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author Kumar, Shiv
Rajendran, Karthika
Kumar, Jitendra
Hamwieh, Aladdin
Baum, Michael
author_facet Kumar, Shiv
Rajendran, Karthika
Kumar, Jitendra
Hamwieh, Aladdin
Baum, Michael
author_sort Kumar, Shiv
collection PubMed
description Most of the lentil growing countries face a certain set of abiotic and biotic stresses causing substantial reduction in crop growth, yield, and production. Until-to date, lentil breeders have used conventional plant breeding techniques of selection-recombination-selection cycle to develop improved cultivars.These techniques have been successful in mainstreaming some of the easy-to-manage monogenic traits. However, in case of complex quantitative traits, these conventional techniques are less precise. As most of the economic traits are complex, quantitative, and often influenced by environments and genotype–environment interaction, the genetic improvement of these traits becomes difficult. Genomics assisted breeding is relatively powerful and fast approach to develop high yielding varieties more suitable to adverse environmental conditions. New tools such as molecular markers and bioinformatics are expected to generate new knowledge and improve our understanding on the genetics of complex traits. In the past, the limited availability of genomic resources in lentil could not allow breeders to employ these tools in mainstream breeding program.The recent application of the next generation sequencing and genotyping by sequencing technologies has facilitated to speed up the lentil genome sequencing project and large discovery of genome-wide single nucleotide polymorphism (SNP) markers. Currently, several linkage maps have been developed in lentil through the use of expressed sequenced tag (EST) derived simple sequence repeat (SSR) and SNP markers.These maps have emerged as useful genomic resources to identify quantitative trait loci imparting tolerance to biotic and abiotic stresses in lentil. In this review, the current knowledge on available genomic resources and its application in lentil breeding program are discussed.
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spelling pubmed-43372362015-03-09 Current knowledge in lentil genomics and its application for crop improvement Kumar, Shiv Rajendran, Karthika Kumar, Jitendra Hamwieh, Aladdin Baum, Michael Front Plant Sci Plant Science Most of the lentil growing countries face a certain set of abiotic and biotic stresses causing substantial reduction in crop growth, yield, and production. Until-to date, lentil breeders have used conventional plant breeding techniques of selection-recombination-selection cycle to develop improved cultivars.These techniques have been successful in mainstreaming some of the easy-to-manage monogenic traits. However, in case of complex quantitative traits, these conventional techniques are less precise. As most of the economic traits are complex, quantitative, and often influenced by environments and genotype–environment interaction, the genetic improvement of these traits becomes difficult. Genomics assisted breeding is relatively powerful and fast approach to develop high yielding varieties more suitable to adverse environmental conditions. New tools such as molecular markers and bioinformatics are expected to generate new knowledge and improve our understanding on the genetics of complex traits. In the past, the limited availability of genomic resources in lentil could not allow breeders to employ these tools in mainstream breeding program.The recent application of the next generation sequencing and genotyping by sequencing technologies has facilitated to speed up the lentil genome sequencing project and large discovery of genome-wide single nucleotide polymorphism (SNP) markers. Currently, several linkage maps have been developed in lentil through the use of expressed sequenced tag (EST) derived simple sequence repeat (SSR) and SNP markers.These maps have emerged as useful genomic resources to identify quantitative trait loci imparting tolerance to biotic and abiotic stresses in lentil. In this review, the current knowledge on available genomic resources and its application in lentil breeding program are discussed. Frontiers Media S.A. 2015-02-23 /pmc/articles/PMC4337236/ /pubmed/25755659 http://dx.doi.org/10.3389/fpls.2015.00078 Text en Copyright © 2015 Kumar, Rajendran, Kumar, Hamwieh and Baum. 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
Kumar, Shiv
Rajendran, Karthika
Kumar, Jitendra
Hamwieh, Aladdin
Baum, Michael
Current knowledge in lentil genomics and its application for crop improvement
title Current knowledge in lentil genomics and its application for crop improvement
title_full Current knowledge in lentil genomics and its application for crop improvement
title_fullStr Current knowledge in lentil genomics and its application for crop improvement
title_full_unstemmed Current knowledge in lentil genomics and its application for crop improvement
title_short Current knowledge in lentil genomics and its application for crop improvement
title_sort current knowledge in lentil genomics and its application for crop improvement
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4337236/
https://www.ncbi.nlm.nih.gov/pubmed/25755659
http://dx.doi.org/10.3389/fpls.2015.00078
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