Cargando…
The influence of QTL allelic diversity on QTL detection in multi-parent populations: a simulation study in sugar beet
BACKGROUND: Multi-parent populations (MPPs) are important resources for studying plant genetic architecture and detecting quantitative trait loci (QTLs). In MPPs, the QTL effects can show various levels of allelic diversity, which can be an important factor influencing the detection of QTLs. In MPPs...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7860181/ https://www.ncbi.nlm.nih.gov/pubmed/33568071 http://dx.doi.org/10.1186/s12863-021-00960-9 |
_version_ | 1783646887819083776 |
---|---|
author | Garin, Vincent Wimmer, Valentin Borchardt, Dietrich Malosetti, Marcos van Eeuwijk, Fred |
author_facet | Garin, Vincent Wimmer, Valentin Borchardt, Dietrich Malosetti, Marcos van Eeuwijk, Fred |
author_sort | Garin, Vincent |
collection | PubMed |
description | BACKGROUND: Multi-parent populations (MPPs) are important resources for studying plant genetic architecture and detecting quantitative trait loci (QTLs). In MPPs, the QTL effects can show various levels of allelic diversity, which can be an important factor influencing the detection of QTLs. In MPPs, the allelic effects can be more or less specific. They can depend on an ancestor, a parent or the combination of parents in a cross. In this paper, we evaluated the effect of QTL allelic diversity on the QTL detection power in MPPs. RESULTS: We simulated: a) cross-specific QTLs; b) parental and ancestral QTLs; and c) bi-allelic QTLs. Inspired by a real application in sugar beet, we tested different MPP designs (diallel, chessboard, factorial, and NAM) derived from five or nine parents to explore the ability to sample genetic diversity and detect QTLs. Using a fixed total population size, the QTL detection power was larger in MPPs with fewer but larger crosses derived from a reduced number of parents. The use of a larger set of parents was useful to detect rare alleles with a large phenotypic effect. The benefit of using a larger set of parents was however conditioned on an increase of the total population size. We also determined empirical confidence intervals for QTL location to compare the resolution of different designs. For QTLs representing 6% of the phenotypic variation, using 1600 F(2) offspring individuals, we found average 95% confidence intervals over different designs of 49 and 25 cM for cross-specific and bi-allelic QTLs, respectively. CONCLUSIONS: MPPs derived from less parents with few but large crosses generally increased the QTL detection power. Using a larger set of parents to cover a wider genetic diversity can be useful to detect QTLs with a reduced minor allele frequency when the QTL effect is large and when the total population size is increased. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at (10.1186/s12863-021-00960-9). |
format | Online Article Text |
id | pubmed-7860181 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-78601812021-02-09 The influence of QTL allelic diversity on QTL detection in multi-parent populations: a simulation study in sugar beet Garin, Vincent Wimmer, Valentin Borchardt, Dietrich Malosetti, Marcos van Eeuwijk, Fred BMC Genom Data Research Article BACKGROUND: Multi-parent populations (MPPs) are important resources for studying plant genetic architecture and detecting quantitative trait loci (QTLs). In MPPs, the QTL effects can show various levels of allelic diversity, which can be an important factor influencing the detection of QTLs. In MPPs, the allelic effects can be more or less specific. They can depend on an ancestor, a parent or the combination of parents in a cross. In this paper, we evaluated the effect of QTL allelic diversity on the QTL detection power in MPPs. RESULTS: We simulated: a) cross-specific QTLs; b) parental and ancestral QTLs; and c) bi-allelic QTLs. Inspired by a real application in sugar beet, we tested different MPP designs (diallel, chessboard, factorial, and NAM) derived from five or nine parents to explore the ability to sample genetic diversity and detect QTLs. Using a fixed total population size, the QTL detection power was larger in MPPs with fewer but larger crosses derived from a reduced number of parents. The use of a larger set of parents was useful to detect rare alleles with a large phenotypic effect. The benefit of using a larger set of parents was however conditioned on an increase of the total population size. We also determined empirical confidence intervals for QTL location to compare the resolution of different designs. For QTLs representing 6% of the phenotypic variation, using 1600 F(2) offspring individuals, we found average 95% confidence intervals over different designs of 49 and 25 cM for cross-specific and bi-allelic QTLs, respectively. CONCLUSIONS: MPPs derived from less parents with few but large crosses generally increased the QTL detection power. Using a larger set of parents to cover a wider genetic diversity can be useful to detect QTLs with a reduced minor allele frequency when the QTL effect is large and when the total population size is increased. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at (10.1186/s12863-021-00960-9). BioMed Central 2021-02-03 /pmc/articles/PMC7860181/ /pubmed/33568071 http://dx.doi.org/10.1186/s12863-021-00960-9 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Garin, Vincent Wimmer, Valentin Borchardt, Dietrich Malosetti, Marcos van Eeuwijk, Fred The influence of QTL allelic diversity on QTL detection in multi-parent populations: a simulation study in sugar beet |
title | The influence of QTL allelic diversity on QTL detection in multi-parent populations: a simulation study in sugar beet |
title_full | The influence of QTL allelic diversity on QTL detection in multi-parent populations: a simulation study in sugar beet |
title_fullStr | The influence of QTL allelic diversity on QTL detection in multi-parent populations: a simulation study in sugar beet |
title_full_unstemmed | The influence of QTL allelic diversity on QTL detection in multi-parent populations: a simulation study in sugar beet |
title_short | The influence of QTL allelic diversity on QTL detection in multi-parent populations: a simulation study in sugar beet |
title_sort | influence of qtl allelic diversity on qtl detection in multi-parent populations: a simulation study in sugar beet |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7860181/ https://www.ncbi.nlm.nih.gov/pubmed/33568071 http://dx.doi.org/10.1186/s12863-021-00960-9 |
work_keys_str_mv | AT garinvincent theinfluenceofqtlallelicdiversityonqtldetectioninmultiparentpopulationsasimulationstudyinsugarbeet AT wimmervalentin theinfluenceofqtlallelicdiversityonqtldetectioninmultiparentpopulationsasimulationstudyinsugarbeet AT borchardtdietrich theinfluenceofqtlallelicdiversityonqtldetectioninmultiparentpopulationsasimulationstudyinsugarbeet AT malosettimarcos theinfluenceofqtlallelicdiversityonqtldetectioninmultiparentpopulationsasimulationstudyinsugarbeet AT vaneeuwijkfred theinfluenceofqtlallelicdiversityonqtldetectioninmultiparentpopulationsasimulationstudyinsugarbeet AT garinvincent influenceofqtlallelicdiversityonqtldetectioninmultiparentpopulationsasimulationstudyinsugarbeet AT wimmervalentin influenceofqtlallelicdiversityonqtldetectioninmultiparentpopulationsasimulationstudyinsugarbeet AT borchardtdietrich influenceofqtlallelicdiversityonqtldetectioninmultiparentpopulationsasimulationstudyinsugarbeet AT malosettimarcos influenceofqtlallelicdiversityonqtldetectioninmultiparentpopulationsasimulationstudyinsugarbeet AT vaneeuwijkfred influenceofqtlallelicdiversityonqtldetectioninmultiparentpopulationsasimulationstudyinsugarbeet |