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Next Generation Quantitative Genetics in Plants
Most characteristics in living organisms show continuous variation, which suggests that they are controlled by multiple genes. Quantitative trait loci (QTL) analysis can identify the genes underlying continuous traits by establishing associations between genetic markers and observed phenotypic varia...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Research Foundation
2011
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3355736/ https://www.ncbi.nlm.nih.gov/pubmed/22645550 http://dx.doi.org/10.3389/fpls.2011.00077 |
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author | Jiménez-Gómez, José M. |
author_facet | Jiménez-Gómez, José M. |
author_sort | Jiménez-Gómez, José M. |
collection | PubMed |
description | Most characteristics in living organisms show continuous variation, which suggests that they are controlled by multiple genes. Quantitative trait loci (QTL) analysis can identify the genes underlying continuous traits by establishing associations between genetic markers and observed phenotypic variation in a segregating population. The new high-throughput sequencing (HTS) technologies greatly facilitate QTL analysis by providing genetic markers at genome-wide resolution in any species without previous knowledge of its genome. In addition HTS serves to quantify molecular phenotypes, which aids to identify the loci responsible for QTLs and to understand the mechanisms underlying diversity. The constant improvements in price, experimental protocols, computational pipelines, and statistical frameworks are making feasible the use of HTS for any research group interested in quantitative genetics. In this review I discuss the application of HTS for molecular marker discovery, population genotyping, and expression profiling in QTL analysis. |
format | Online Article Text |
id | pubmed-3355736 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Frontiers Research Foundation |
record_format | MEDLINE/PubMed |
spelling | pubmed-33557362012-05-29 Next Generation Quantitative Genetics in Plants Jiménez-Gómez, José M. Front Plant Sci Plant Science Most characteristics in living organisms show continuous variation, which suggests that they are controlled by multiple genes. Quantitative trait loci (QTL) analysis can identify the genes underlying continuous traits by establishing associations between genetic markers and observed phenotypic variation in a segregating population. The new high-throughput sequencing (HTS) technologies greatly facilitate QTL analysis by providing genetic markers at genome-wide resolution in any species without previous knowledge of its genome. In addition HTS serves to quantify molecular phenotypes, which aids to identify the loci responsible for QTLs and to understand the mechanisms underlying diversity. The constant improvements in price, experimental protocols, computational pipelines, and statistical frameworks are making feasible the use of HTS for any research group interested in quantitative genetics. In this review I discuss the application of HTS for molecular marker discovery, population genotyping, and expression profiling in QTL analysis. Frontiers Research Foundation 2011-11-15 /pmc/articles/PMC3355736/ /pubmed/22645550 http://dx.doi.org/10.3389/fpls.2011.00077 Text en Copyright © 2011 Jiménez-Gómez. http://www.frontiersin.org/licenseagreement This is an open-access article subject to a non-exclusive license between the authors and Frontiers Media SA, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and other Frontiers conditions are complied with. |
spellingShingle | Plant Science Jiménez-Gómez, José M. Next Generation Quantitative Genetics in Plants |
title | Next Generation Quantitative Genetics in Plants |
title_full | Next Generation Quantitative Genetics in Plants |
title_fullStr | Next Generation Quantitative Genetics in Plants |
title_full_unstemmed | Next Generation Quantitative Genetics in Plants |
title_short | Next Generation Quantitative Genetics in Plants |
title_sort | next generation quantitative genetics in plants |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3355736/ https://www.ncbi.nlm.nih.gov/pubmed/22645550 http://dx.doi.org/10.3389/fpls.2011.00077 |
work_keys_str_mv | AT jimenezgomezjosem nextgenerationquantitativegeneticsinplants |