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Toward Genomics-Based Breeding in C3 Cool-Season Perennial Grasses

Most important food and feed crops in the world belong to the C3 grass family. The future of food security is highly reliant on achieving genetic gains of those grasses. Conventional breeding methods have already reached a plateau for improving major crops. Genomics tools and resources have opened a...

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Autores principales: Talukder, Shyamal K., Saha, Malay C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5526908/
https://www.ncbi.nlm.nih.gov/pubmed/28798766
http://dx.doi.org/10.3389/fpls.2017.01317
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author Talukder, Shyamal K.
Saha, Malay C.
author_facet Talukder, Shyamal K.
Saha, Malay C.
author_sort Talukder, Shyamal K.
collection PubMed
description Most important food and feed crops in the world belong to the C3 grass family. The future of food security is highly reliant on achieving genetic gains of those grasses. Conventional breeding methods have already reached a plateau for improving major crops. Genomics tools and resources have opened an avenue to explore genome-wide variability and make use of the variation for enhancing genetic gains in breeding programs. Major C3 annual cereal breeding programs are well equipped with genomic tools; however, genomic research of C3 cool-season perennial grasses is lagging behind. In this review, we discuss the currently available genomics tools and approaches useful for C3 cool-season perennial grass breeding. Along with a general review, we emphasize the discussion focusing on forage grasses that were considered orphan and have little or no genetic information available. Transcriptome sequencing and genotype-by-sequencing technology for genome-wide marker detection using next-generation sequencing (NGS) are very promising as genomics tools. Most C3 cool-season perennial grass members have no prior genetic information; thus NGS technology will enhance collinear study with other C3 model grasses like Brachypodium and rice. Transcriptomics data can be used for identification of functional genes and molecular markers, i.e., polymorphism markers and simple sequence repeats (SSRs). Genome-wide association study with NGS-based markers will facilitate marker identification for marker-assisted selection. With limited genetic information, genomic selection holds great promise to breeders for attaining maximum genetic gain of the cool-season C3 perennial grasses. Application of all these tools can ensure better genetic gains, reduce length of selection cycles, and facilitate cultivar development to meet the future demand for food and fodder.
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spelling pubmed-55269082017-08-10 Toward Genomics-Based Breeding in C3 Cool-Season Perennial Grasses Talukder, Shyamal K. Saha, Malay C. Front Plant Sci Plant Science Most important food and feed crops in the world belong to the C3 grass family. The future of food security is highly reliant on achieving genetic gains of those grasses. Conventional breeding methods have already reached a plateau for improving major crops. Genomics tools and resources have opened an avenue to explore genome-wide variability and make use of the variation for enhancing genetic gains in breeding programs. Major C3 annual cereal breeding programs are well equipped with genomic tools; however, genomic research of C3 cool-season perennial grasses is lagging behind. In this review, we discuss the currently available genomics tools and approaches useful for C3 cool-season perennial grass breeding. Along with a general review, we emphasize the discussion focusing on forage grasses that were considered orphan and have little or no genetic information available. Transcriptome sequencing and genotype-by-sequencing technology for genome-wide marker detection using next-generation sequencing (NGS) are very promising as genomics tools. Most C3 cool-season perennial grass members have no prior genetic information; thus NGS technology will enhance collinear study with other C3 model grasses like Brachypodium and rice. Transcriptomics data can be used for identification of functional genes and molecular markers, i.e., polymorphism markers and simple sequence repeats (SSRs). Genome-wide association study with NGS-based markers will facilitate marker identification for marker-assisted selection. With limited genetic information, genomic selection holds great promise to breeders for attaining maximum genetic gain of the cool-season C3 perennial grasses. Application of all these tools can ensure better genetic gains, reduce length of selection cycles, and facilitate cultivar development to meet the future demand for food and fodder. Frontiers Media S.A. 2017-07-26 /pmc/articles/PMC5526908/ /pubmed/28798766 http://dx.doi.org/10.3389/fpls.2017.01317 Text en Copyright © 2017 Talukder and Saha. 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
Talukder, Shyamal K.
Saha, Malay C.
Toward Genomics-Based Breeding in C3 Cool-Season Perennial Grasses
title Toward Genomics-Based Breeding in C3 Cool-Season Perennial Grasses
title_full Toward Genomics-Based Breeding in C3 Cool-Season Perennial Grasses
title_fullStr Toward Genomics-Based Breeding in C3 Cool-Season Perennial Grasses
title_full_unstemmed Toward Genomics-Based Breeding in C3 Cool-Season Perennial Grasses
title_short Toward Genomics-Based Breeding in C3 Cool-Season Perennial Grasses
title_sort toward genomics-based breeding in c3 cool-season perennial grasses
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5526908/
https://www.ncbi.nlm.nih.gov/pubmed/28798766
http://dx.doi.org/10.3389/fpls.2017.01317
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