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Genomic studies of the additive and dominant genetic control on production traits of Euterpe edulis fruits

In forest genetic improvement programs for non-domesticated species, limited knowledge of kinship can compromise or make the estimation of variance components and genetic parameters of traits of interest unfeasible. We used mixed models and genomics (in the latter, considering additive and non-addit...

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Autores principales: Canal, Guilherme Bravim, Oliveira, Gabriela França, de Almeida, Francine Alves Nogueira, Péres, Marcello Zatta, Moro, Gabriel Lenen Javarini, dos Santos Oliveira, Wagner Bastos, Azevedo, Camila Ferreira, Nascimento, Moysés, da Silva Ferreira, Marcia Flores, Ferreira, Adésio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10276026/
https://www.ncbi.nlm.nih.gov/pubmed/37328527
http://dx.doi.org/10.1038/s41598-023-36970-z
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author Canal, Guilherme Bravim
Oliveira, Gabriela França
de Almeida, Francine Alves Nogueira
Péres, Marcello Zatta
Moro, Gabriel Lenen Javarini
dos Santos Oliveira, Wagner Bastos
Azevedo, Camila Ferreira
Nascimento, Moysés
da Silva Ferreira, Marcia Flores
Ferreira, Adésio
author_facet Canal, Guilherme Bravim
Oliveira, Gabriela França
de Almeida, Francine Alves Nogueira
Péres, Marcello Zatta
Moro, Gabriel Lenen Javarini
dos Santos Oliveira, Wagner Bastos
Azevedo, Camila Ferreira
Nascimento, Moysés
da Silva Ferreira, Marcia Flores
Ferreira, Adésio
author_sort Canal, Guilherme Bravim
collection PubMed
description In forest genetic improvement programs for non-domesticated species, limited knowledge of kinship can compromise or make the estimation of variance components and genetic parameters of traits of interest unfeasible. We used mixed models and genomics (in the latter, considering additive and non-additive effects) to evaluate the genetic architecture of 12 traits in juçaizeiro for fruit production. A population of 275 genotypes without genetic relationship knowledge was phenotyped over three years and genotyped by whole genome SNP markers. We have verified superiority in the quality of the fits, the prediction accuracy for unbalanced data, and the possibility of unfolding the genetic effects into their additive and non-additive terms in the genomic models. Estimates of the variance components and genetic parameters obtained by the additive models may be overestimated since, when considering the dominance effect in the model, there are substantial reductions in them. The number of bunches, fresh fruit mass of bunch, rachis length, fresh mass of 25 fruits, and amount of pulp were strongly influenced by the dominance effect, showing that genomic models with such effect should be considered for these traits, which may result in selective improvements by being able to return more accurate genomic breeding values. The present study reveals the additive and non-additive genetic control of the evaluated traits and highlights the importance of genomic information-based approaches for populations without knowledge of kinship and experimental design. Our findings underscore the critical role of genomic data in elucidating the genetic control architecture of quantitative traits, thereby providing crucial insights for driving species' genetic improvement.
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spelling pubmed-102760262023-06-18 Genomic studies of the additive and dominant genetic control on production traits of Euterpe edulis fruits Canal, Guilherme Bravim Oliveira, Gabriela França de Almeida, Francine Alves Nogueira Péres, Marcello Zatta Moro, Gabriel Lenen Javarini dos Santos Oliveira, Wagner Bastos Azevedo, Camila Ferreira Nascimento, Moysés da Silva Ferreira, Marcia Flores Ferreira, Adésio Sci Rep Article In forest genetic improvement programs for non-domesticated species, limited knowledge of kinship can compromise or make the estimation of variance components and genetic parameters of traits of interest unfeasible. We used mixed models and genomics (in the latter, considering additive and non-additive effects) to evaluate the genetic architecture of 12 traits in juçaizeiro for fruit production. A population of 275 genotypes without genetic relationship knowledge was phenotyped over three years and genotyped by whole genome SNP markers. We have verified superiority in the quality of the fits, the prediction accuracy for unbalanced data, and the possibility of unfolding the genetic effects into their additive and non-additive terms in the genomic models. Estimates of the variance components and genetic parameters obtained by the additive models may be overestimated since, when considering the dominance effect in the model, there are substantial reductions in them. The number of bunches, fresh fruit mass of bunch, rachis length, fresh mass of 25 fruits, and amount of pulp were strongly influenced by the dominance effect, showing that genomic models with such effect should be considered for these traits, which may result in selective improvements by being able to return more accurate genomic breeding values. The present study reveals the additive and non-additive genetic control of the evaluated traits and highlights the importance of genomic information-based approaches for populations without knowledge of kinship and experimental design. Our findings underscore the critical role of genomic data in elucidating the genetic control architecture of quantitative traits, thereby providing crucial insights for driving species' genetic improvement. Nature Publishing Group UK 2023-06-16 /pmc/articles/PMC10276026/ /pubmed/37328527 http://dx.doi.org/10.1038/s41598-023-36970-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Canal, Guilherme Bravim
Oliveira, Gabriela França
de Almeida, Francine Alves Nogueira
Péres, Marcello Zatta
Moro, Gabriel Lenen Javarini
dos Santos Oliveira, Wagner Bastos
Azevedo, Camila Ferreira
Nascimento, Moysés
da Silva Ferreira, Marcia Flores
Ferreira, Adésio
Genomic studies of the additive and dominant genetic control on production traits of Euterpe edulis fruits
title Genomic studies of the additive and dominant genetic control on production traits of Euterpe edulis fruits
title_full Genomic studies of the additive and dominant genetic control on production traits of Euterpe edulis fruits
title_fullStr Genomic studies of the additive and dominant genetic control on production traits of Euterpe edulis fruits
title_full_unstemmed Genomic studies of the additive and dominant genetic control on production traits of Euterpe edulis fruits
title_short Genomic studies of the additive and dominant genetic control on production traits of Euterpe edulis fruits
title_sort genomic studies of the additive and dominant genetic control on production traits of euterpe edulis fruits
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10276026/
https://www.ncbi.nlm.nih.gov/pubmed/37328527
http://dx.doi.org/10.1038/s41598-023-36970-z
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