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Genomic Diversity Evaluation of Populus trichocarpa Germplasm for Rare Variant Genetic Association Studies
Genome-wide association studies are powerful tools to elucidate the genome-to-phenome relationship. In order to explain most of the observed heritability of a phenotypic trait, a sufficient number of individuals and a large set of genetic variants must be examined. The development of high-throughput...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6997551/ https://www.ncbi.nlm.nih.gov/pubmed/32047512 http://dx.doi.org/10.3389/fgene.2019.01384 |
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author | Piot, Anthony Prunier, Julien Isabel, Nathalie Klápště, Jaroslav El-Kassaby, Yousry A. Villarreal Aguilar, Juan Carlos Porth, Ilga |
author_facet | Piot, Anthony Prunier, Julien Isabel, Nathalie Klápště, Jaroslav El-Kassaby, Yousry A. Villarreal Aguilar, Juan Carlos Porth, Ilga |
author_sort | Piot, Anthony |
collection | PubMed |
description | Genome-wide association studies are powerful tools to elucidate the genome-to-phenome relationship. In order to explain most of the observed heritability of a phenotypic trait, a sufficient number of individuals and a large set of genetic variants must be examined. The development of high-throughput technologies and cost-efficient resequencing of complete genomes have enabled the genome-wide identification of genetic variation at large scale. As such, almost all existing genetic variation becomes available, and it is now possible to identify rare genetic variants in a population sample. Rare genetic variants that were usually filtered out in most genetic association studies are the most numerous genetic variations across genomes and hold great potential to explain a significant part of the missing heritability observed in association studies. Rare genetic variants must be identified with high confidence, as they can easily be confounded with sequencing errors. In this study, we used a pre-filtered data set of 1,014 pure Populus trichocarpa entire genomes to identify rare and common small genetic variants across individual genomes. We compared variant calls between Platypus and HaplotypeCaller pipelines, and we further applied strict quality filters for improved genetic variant identification. Finally, we only retained genetic variants that were identified by both variant callers increasing calling confidence. Based on these shared variants and after stringent quality filtering, we found high genomic diversity in P. trichocarpa germplasm, with 7.4 million small genetic variants. Importantly, 377k non-synonymous variants (5% of the total) were uncovered. We highlight the importance of genomic diversity and the potential of rare defective genetic variants in explaining a significant portion of P. trichocarpa's phenotypic variability in association genetics. The ultimate goal is to associate both rare and common alleles with poplar's wood quality traits to support selective breeding for an improved bioenergy feedstock. |
format | Online Article Text |
id | pubmed-6997551 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-69975512020-02-11 Genomic Diversity Evaluation of Populus trichocarpa Germplasm for Rare Variant Genetic Association Studies Piot, Anthony Prunier, Julien Isabel, Nathalie Klápště, Jaroslav El-Kassaby, Yousry A. Villarreal Aguilar, Juan Carlos Porth, Ilga Front Genet Genetics Genome-wide association studies are powerful tools to elucidate the genome-to-phenome relationship. In order to explain most of the observed heritability of a phenotypic trait, a sufficient number of individuals and a large set of genetic variants must be examined. The development of high-throughput technologies and cost-efficient resequencing of complete genomes have enabled the genome-wide identification of genetic variation at large scale. As such, almost all existing genetic variation becomes available, and it is now possible to identify rare genetic variants in a population sample. Rare genetic variants that were usually filtered out in most genetic association studies are the most numerous genetic variations across genomes and hold great potential to explain a significant part of the missing heritability observed in association studies. Rare genetic variants must be identified with high confidence, as they can easily be confounded with sequencing errors. In this study, we used a pre-filtered data set of 1,014 pure Populus trichocarpa entire genomes to identify rare and common small genetic variants across individual genomes. We compared variant calls between Platypus and HaplotypeCaller pipelines, and we further applied strict quality filters for improved genetic variant identification. Finally, we only retained genetic variants that were identified by both variant callers increasing calling confidence. Based on these shared variants and after stringent quality filtering, we found high genomic diversity in P. trichocarpa germplasm, with 7.4 million small genetic variants. Importantly, 377k non-synonymous variants (5% of the total) were uncovered. We highlight the importance of genomic diversity and the potential of rare defective genetic variants in explaining a significant portion of P. trichocarpa's phenotypic variability in association genetics. The ultimate goal is to associate both rare and common alleles with poplar's wood quality traits to support selective breeding for an improved bioenergy feedstock. Frontiers Media S.A. 2020-01-28 /pmc/articles/PMC6997551/ /pubmed/32047512 http://dx.doi.org/10.3389/fgene.2019.01384 Text en Copyright © 2020 Piot, Prunier, Isabel, Klápště, El-Kassaby, Villarreal Aguilar and Porth 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) and the copyright owner(s) 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 | Genetics Piot, Anthony Prunier, Julien Isabel, Nathalie Klápště, Jaroslav El-Kassaby, Yousry A. Villarreal Aguilar, Juan Carlos Porth, Ilga Genomic Diversity Evaluation of Populus trichocarpa Germplasm for Rare Variant Genetic Association Studies |
title | Genomic Diversity Evaluation of Populus trichocarpa Germplasm for Rare Variant Genetic Association Studies |
title_full | Genomic Diversity Evaluation of Populus trichocarpa Germplasm for Rare Variant Genetic Association Studies |
title_fullStr | Genomic Diversity Evaluation of Populus trichocarpa Germplasm for Rare Variant Genetic Association Studies |
title_full_unstemmed | Genomic Diversity Evaluation of Populus trichocarpa Germplasm for Rare Variant Genetic Association Studies |
title_short | Genomic Diversity Evaluation of Populus trichocarpa Germplasm for Rare Variant Genetic Association Studies |
title_sort | genomic diversity evaluation of populus trichocarpa germplasm for rare variant genetic association studies |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6997551/ https://www.ncbi.nlm.nih.gov/pubmed/32047512 http://dx.doi.org/10.3389/fgene.2019.01384 |
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