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Modelling of population structure through contemporary groups in genetic evaluation

BACKGROUND: Forest trees can occupy extensive geography and environmentally highly variable areas which result in high genetic variability in the direction of pressure from natural selection. At the same time, the majority of conifer species are wind-pollinated from both short and long distances, re...

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Autores principales: Klápště, Jaroslav, Suontama, Mari, Dungey, Heidi S, Telfer, Emily J, Stovold, Grahame T
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6814128/
https://www.ncbi.nlm.nih.gov/pubmed/31651248
http://dx.doi.org/10.1186/s12863-019-0778-0
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author Klápště, Jaroslav
Suontama, Mari
Dungey, Heidi S
Telfer, Emily J
Stovold, Grahame T
author_facet Klápště, Jaroslav
Suontama, Mari
Dungey, Heidi S
Telfer, Emily J
Stovold, Grahame T
author_sort Klápště, Jaroslav
collection PubMed
description BACKGROUND: Forest trees can occupy extensive geography and environmentally highly variable areas which result in high genetic variability in the direction of pressure from natural selection. At the same time, the majority of conifer species are wind-pollinated from both short and long distances, resulting in wide-spread gene flow, which can lead to maladaptation to local conditions. Quantitative analyses of provenance/progeny tests correct for genetic differences between populations to ensure unbiased genetic parameters are obtained. Commonly, the provenance effect is fitted as a fixed term or can be implemented as a contemporary group in the pedigree. RESULTS: The use of a provenance effect, either as a fixed term or as the same contemporary groups in both maternal and paternal sides of the pedigree, resulted in fairly similar precision of genetic parameters in our case. However, when we developed a phantom contemporary group for the paternal side of the pedigree that considered a different genetic quality of pollen compared with the maternal contribution from trees in the local environment, the model fit and accuracy of breeding values increased. CONCLUSION: Consideration of the mating dynamics and the vector of gene flow are important factors in modelling contemporary genetic groups, particularly when implementing pedigrees within a mixed model framework to obtain unbiased estimates of genetic parameters. This approach is especially important in traits involved in local adaptation.
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spelling pubmed-68141282019-10-31 Modelling of population structure through contemporary groups in genetic evaluation Klápště, Jaroslav Suontama, Mari Dungey, Heidi S Telfer, Emily J Stovold, Grahame T BMC Genet Research Article BACKGROUND: Forest trees can occupy extensive geography and environmentally highly variable areas which result in high genetic variability in the direction of pressure from natural selection. At the same time, the majority of conifer species are wind-pollinated from both short and long distances, resulting in wide-spread gene flow, which can lead to maladaptation to local conditions. Quantitative analyses of provenance/progeny tests correct for genetic differences between populations to ensure unbiased genetic parameters are obtained. Commonly, the provenance effect is fitted as a fixed term or can be implemented as a contemporary group in the pedigree. RESULTS: The use of a provenance effect, either as a fixed term or as the same contemporary groups in both maternal and paternal sides of the pedigree, resulted in fairly similar precision of genetic parameters in our case. However, when we developed a phantom contemporary group for the paternal side of the pedigree that considered a different genetic quality of pollen compared with the maternal contribution from trees in the local environment, the model fit and accuracy of breeding values increased. CONCLUSION: Consideration of the mating dynamics and the vector of gene flow are important factors in modelling contemporary genetic groups, particularly when implementing pedigrees within a mixed model framework to obtain unbiased estimates of genetic parameters. This approach is especially important in traits involved in local adaptation. BioMed Central 2019-10-24 /pmc/articles/PMC6814128/ /pubmed/31651248 http://dx.doi.org/10.1186/s12863-019-0778-0 Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.
spellingShingle Research Article
Klápště, Jaroslav
Suontama, Mari
Dungey, Heidi S
Telfer, Emily J
Stovold, Grahame T
Modelling of population structure through contemporary groups in genetic evaluation
title Modelling of population structure through contemporary groups in genetic evaluation
title_full Modelling of population structure through contemporary groups in genetic evaluation
title_fullStr Modelling of population structure through contemporary groups in genetic evaluation
title_full_unstemmed Modelling of population structure through contemporary groups in genetic evaluation
title_short Modelling of population structure through contemporary groups in genetic evaluation
title_sort modelling of population structure through contemporary groups in genetic evaluation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6814128/
https://www.ncbi.nlm.nih.gov/pubmed/31651248
http://dx.doi.org/10.1186/s12863-019-0778-0
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