Quantitative trait loci related to growth and wood quality traits in Eucalyptus grandis W. Hill identified through single- and multi-trait genome-wide association studies
The aim of this study was to conduct single- and multi-trait genome wide association studies (GWAS) and identify quantitative trait loci (QTLs) for the expression of phenotypic traits in Eucalyptus grandis. We evaluated an open-pollinated breeding population with 1772 genotypes composed of 25 differ...
| Autores: | , , , , , , , , , , , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2022 |
| País: | Brasil |
| Institución: | Universidade Estadual Paulista (UNESP) |
| Repositorio: | Repositório Institucional da UNESP |
| Idioma: | inglés |
| OAI Identifier: | oai:repositorio.unesp.br:11449/246055 |
| Acceso en línea: | http://dx.doi.org/10.1007/s11295-022-01570-x http://hdl.handle.net/11449/246055 |
| Access Level: | acceso abierto |
| Palabra clave: | Association mapping Eucalyptus Gene ontology Genome-wide association study |
| Sumario: | The aim of this study was to conduct single- and multi-trait genome wide association studies (GWAS) and identify quantitative trait loci (QTLs) for the expression of phenotypic traits in Eucalyptus grandis. We evaluated an open-pollinated breeding population with 1772 genotypes composed of 25 different families established using a randomized complete block design. We performed single-trait GWAS using the fixed and random model circulating probability unification (FarmCPU) and multi-trait GWAS for genetically correlated phenotypic traits using the multi-trait mixed model (MTMM). Then, gene annotation was identified through the Phytozome database. The FarmCPU model identified 43 and 38 QTLs that are significantly associated with growth and wood quality traits, respectively. Similarly, 40 pleiotropic QTLs were discovered using the MTMM model. Gene ontology for single-trait analysis identified loci responsible for regulating several important biological processes in different tissues and at different stages of maturation. On the other hand, the multi-trait model identified loci associated with gibberellin signaling, which regulates several aspects of plant growth and development, as well as loci related to the reinforcement of cell wall composition. Our study demonstrates the complex nature of E. grandis quantitative traits and provides new evidence of loci not described before which are associated with the expression of important phenotypic traits. |
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