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Exploring and Harnessing Haplotype Diversity to Improve Yield Stability in Crops
In order to meet future food, feed, fiber, and bioenergy demands, global yields of all major crops need to be increased significantly. At the same time, the increasing frequency of extreme weather events such as heat and drought necessitates improvements in the environmental resilience of modern cro...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5591830/ https://www.ncbi.nlm.nih.gov/pubmed/28928764 http://dx.doi.org/10.3389/fpls.2017.01534 |
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author | Qian, Lunwen Hickey, Lee T. Stahl, Andreas Werner, Christian R. Hayes, Ben Snowdon, Rod J. Voss-Fels, Kai P. |
author_facet | Qian, Lunwen Hickey, Lee T. Stahl, Andreas Werner, Christian R. Hayes, Ben Snowdon, Rod J. Voss-Fels, Kai P. |
author_sort | Qian, Lunwen |
collection | PubMed |
description | In order to meet future food, feed, fiber, and bioenergy demands, global yields of all major crops need to be increased significantly. At the same time, the increasing frequency of extreme weather events such as heat and drought necessitates improvements in the environmental resilience of modern crop cultivars. Achieving sustainably increase yields implies rapid improvement of quantitative traits with a very complex genetic architecture and strong environmental interaction. Latest advances in genome analysis technologies today provide molecular information at an ultrahigh resolution, revolutionizing crop genomic research, and paving the way for advanced quantitative genetic approaches. These include highly detailed assessment of population structure and genotypic diversity, facilitating the identification of selective sweeps and signatures of directional selection, dissection of genetic variants that underlie important agronomic traits, and genomic selection (GS) strategies that not only consider major-effect genes. Single-nucleotide polymorphism (SNP) markers today represent the genotyping system of choice for crop genetic studies because they occur abundantly in plant genomes and are easy to detect. SNPs are typically biallelic, however, hence their information content compared to multiallelic markers is low, limiting the resolution at which SNP–trait relationships can be delineated. An efficient way to overcome this limitation is to construct haplotypes based on linkage disequilibrium, one of the most important features influencing genetic analyses of crop genomes. Here, we give an overview of the latest advances in genomics-based haplotype analyses in crops, highlighting their importance in the context of polyploidy and genome evolution, linkage drag, and co-selection. We provide examples of how haplotype analyses can complement well-established quantitative genetics frameworks, such as quantitative trait analysis and GS, ultimately providing an effective tool to equip modern crops with environment-tailored characteristics. |
format | Online Article Text |
id | pubmed-5591830 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-55918302017-09-19 Exploring and Harnessing Haplotype Diversity to Improve Yield Stability in Crops Qian, Lunwen Hickey, Lee T. Stahl, Andreas Werner, Christian R. Hayes, Ben Snowdon, Rod J. Voss-Fels, Kai P. Front Plant Sci Plant Science In order to meet future food, feed, fiber, and bioenergy demands, global yields of all major crops need to be increased significantly. At the same time, the increasing frequency of extreme weather events such as heat and drought necessitates improvements in the environmental resilience of modern crop cultivars. Achieving sustainably increase yields implies rapid improvement of quantitative traits with a very complex genetic architecture and strong environmental interaction. Latest advances in genome analysis technologies today provide molecular information at an ultrahigh resolution, revolutionizing crop genomic research, and paving the way for advanced quantitative genetic approaches. These include highly detailed assessment of population structure and genotypic diversity, facilitating the identification of selective sweeps and signatures of directional selection, dissection of genetic variants that underlie important agronomic traits, and genomic selection (GS) strategies that not only consider major-effect genes. Single-nucleotide polymorphism (SNP) markers today represent the genotyping system of choice for crop genetic studies because they occur abundantly in plant genomes and are easy to detect. SNPs are typically biallelic, however, hence their information content compared to multiallelic markers is low, limiting the resolution at which SNP–trait relationships can be delineated. An efficient way to overcome this limitation is to construct haplotypes based on linkage disequilibrium, one of the most important features influencing genetic analyses of crop genomes. Here, we give an overview of the latest advances in genomics-based haplotype analyses in crops, highlighting their importance in the context of polyploidy and genome evolution, linkage drag, and co-selection. We provide examples of how haplotype analyses can complement well-established quantitative genetics frameworks, such as quantitative trait analysis and GS, ultimately providing an effective tool to equip modern crops with environment-tailored characteristics. Frontiers Media S.A. 2017-09-05 /pmc/articles/PMC5591830/ /pubmed/28928764 http://dx.doi.org/10.3389/fpls.2017.01534 Text en Copyright © 2017 Qian, Hickey, Stahl, Werner, Hayes, Snowdon and Voss-Fels. 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 Qian, Lunwen Hickey, Lee T. Stahl, Andreas Werner, Christian R. Hayes, Ben Snowdon, Rod J. Voss-Fels, Kai P. Exploring and Harnessing Haplotype Diversity to Improve Yield Stability in Crops |
title | Exploring and Harnessing Haplotype Diversity to Improve Yield Stability in Crops |
title_full | Exploring and Harnessing Haplotype Diversity to Improve Yield Stability in Crops |
title_fullStr | Exploring and Harnessing Haplotype Diversity to Improve Yield Stability in Crops |
title_full_unstemmed | Exploring and Harnessing Haplotype Diversity to Improve Yield Stability in Crops |
title_short | Exploring and Harnessing Haplotype Diversity to Improve Yield Stability in Crops |
title_sort | exploring and harnessing haplotype diversity to improve yield stability in crops |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5591830/ https://www.ncbi.nlm.nih.gov/pubmed/28928764 http://dx.doi.org/10.3389/fpls.2017.01534 |
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