Genomic studies of the additive and dominant genetic control on production traits of Euterpe edulis fruits
Abstract 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...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-06-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-36970-z |
| _version_ | 1827923024174645248 |
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| author | Guilherme Bravim Canal Gabriela França Oliveira Francine Alves Nogueira de Almeida Marcello Zatta Péres Gabriel Lenen Javarini Moro Wagner Bastos dos Santos Oliveira Camila Ferreira Azevedo Moysés Nascimento Marcia Flores da Silva Ferreira Adésio Ferreira |
| author_facet | Guilherme Bravim Canal Gabriela França Oliveira Francine Alves Nogueira de Almeida Marcello Zatta Péres Gabriel Lenen Javarini Moro Wagner Bastos dos Santos Oliveira Camila Ferreira Azevedo Moysés Nascimento Marcia Flores da Silva Ferreira Adésio Ferreira |
| author_sort | Guilherme Bravim Canal |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-03-13T04:50:45Z |
| format | Article |
| id | doaj.art-aa62deeb4e95485887b7e951ba91abc8 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-13T04:50:45Z |
| publishDate | 2023-06-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-aa62deeb4e95485887b7e951ba91abc82023-06-18T11:12:50ZengNature PortfolioScientific Reports2045-23222023-06-0113111210.1038/s41598-023-36970-zGenomic studies of the additive and dominant genetic control on production traits of Euterpe edulis fruitsGuilherme Bravim Canal0Gabriela França Oliveira1Francine Alves Nogueira de Almeida2Marcello Zatta Péres3Gabriel Lenen Javarini Moro4Wagner Bastos dos Santos Oliveira5Camila Ferreira Azevedo6Moysés Nascimento7Marcia Flores da Silva Ferreira8Adésio Ferreira9Department of Agronomy, Federal University of Espírito SantoDepartment of Statistics, Federal University of ViçosaDepartment of Agronomy, Federal University of Espírito SantoDepartment of Agronomy, Federal University of Espírito SantoDepartment of Agronomy, Federal University of Espírito SantoDepartment of Agronomy, Federal University of Espírito SantoDepartment of Statistics, Federal University of ViçosaDepartment of Statistics, Federal University of ViçosaDepartment of Agronomy, Federal University of Espírito SantoDepartment of Agronomy, Federal University of Espírito SantoAbstract 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.https://doi.org/10.1038/s41598-023-36970-z |
| spellingShingle | Guilherme Bravim Canal Gabriela França Oliveira Francine Alves Nogueira de Almeida Marcello Zatta Péres Gabriel Lenen Javarini Moro Wagner Bastos dos Santos Oliveira Camila Ferreira Azevedo Moysés Nascimento Marcia Flores da Silva Ferreira Adésio Ferreira Genomic studies of the additive and dominant genetic control on production traits of Euterpe edulis fruits Scientific Reports |
| 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 |
| url | https://doi.org/10.1038/s41598-023-36970-z |
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