| Texto completo | |
| Autor(es): |
Aono, Alexandre Hild
;
Bajay, Stephanie Karenina
;
Francisco, Felipe Roberto
;
de Souza, Anete Pereira
Número total de Autores: 4
|
| Tipo de documento: | Artigo Científico |
| Fonte: | Tree Genetics & Genomes; v. 21, n. 3, p. 23-pg., 2025-06-01. |
| Resumo | |
Pinus taeda (loblolly pine) is one of the most economically significant forest trees worldwide. Among growth traits, stem volume is the most widely considered trait in tree improvement programs. However, deciphering the genetic markers associated with growth trait variations in conifers is challenging due to the intricate complexity of Pinus genomes. In this study, we present a comprehensive genetic analysis of loblolly pine, focusing on single-nucleotide polymorphisms (SNPs) associated with stem volume variation to elucidate the molecular mechanisms governing high-performance phenotypes. We used 1,692 individuals phenotyped for stem volume and genotyped using sequence capture probes. To determine genome-wide associations, we utilized both genome-wide association study (GWAS) analysis and machine learning (ML). The SNPs identified in association with stem volume best linear unbiased estimates (BLUEs) were linked with assembled genes from three distinct transcriptomes, which were employed to construct gene coexpression networks. Through topological evaluations, we identified key genes with potential regulatory roles within stem volume variation. From 31,589 SNPs, we defined 7 GWAS-associated SNPs and 128 ML-associated SNPs, affecting genes involved in diverse molecular mechanisms. Key genes directly implicated in the regulation of growth and response to stress were identified. Gene coexpression network analysis revealed functional relationships between genes near SNPs associated with stem volume BLUEs, highlighting potential key regulators. These findings significantly advance our understanding of the genetics influencing growth traits, reveal candidate genes for functional studies, and contribute to the understanding of the genetic architecture underlying volume traits in loblolly pine. (AU) | |
| Processo FAPESP: | 19/13452-3 - Predição e associação genômica em seringueira, principal fonte renovável para produção de borracha |
| Beneficiário: | Stephanie Karenina Bajay |
| Modalidade de apoio: | Bolsas no Brasil - Doutorado |
| Processo FAPESP: | 19/03232-6 - Seleção genômica ampla em cana-de-açúcar via aprendizado de máquina e redes complexas para caracteres de importância econômica |
| Beneficiário: | Alexandre Hild Aono |
| Modalidade de apoio: | Bolsas no Brasil - Doutorado Direto |
| Processo FAPESP: | 18/18985-7 - Mapa genético integrado e seleção genômica ampla visando caracteres de importância econômica em seringueira |
| Beneficiário: | Felipe Roberto Francisco |
| Modalidade de apoio: | Bolsas no Brasil - Doutorado Direto |