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
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1007/s11295-022-01570-x http://hdl.handle.net/11449/246055 |
Resumo: | 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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Quantitative trait loci related to growth and wood quality traits in Eucalyptus grandis W. Hill identified through single- and multi-trait genome-wide association studiesAssociation mappingEucalyptusGene ontologyGenome-wide association studyThe 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.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Department of Forest Science FCA/UNESP São Paulo State University, Sao PauloSUZANO S.A, Bahia“Luiz de Queiroz” College of Agriculture Department of Genetics (ESALQ/USP) University of São PauloUniversidad Politécnica de MadridThünen Institute of Forest GeneticsNorth Carolina State University NCSUH. Rouse Caffey Rice Research Station - LSUAgCenterDepartment of Forest Engineering State University of the Central-West, PR“Luiz de Queiroz” College of Agriculture Department of Forest Sciences University of Sao Paulo, Sao PauloDepartment of Forest Science FCA/UNESP São Paulo State University, Sao PauloCNPq: 200727/2020-6CNPq: 304899/2019-4Universidade Estadual Paulista (UNESP)SUZANO S.AUniversidade de São Paulo (USP)Universidad Politécnica de MadridThünen Institute of Forest GeneticsNCSUH. Rouse Caffey Rice Research Station - LSUAgCenterState University of the Central-WestRocha, Lucas Fernandes [UNESP]Benatti, Thiago Romanosde Siqueira, Leandrode Souza, Izabel Christina GavaBianchin, Isadorade Souza, Aguinaldo JoséFernandes, Aline Cristina MirandaOda, ShinitiroStape, José LuizYassue, Rafael MassahiroCarvalho, Humberto FanelliMüller, Niels A.Fladung, MatthiasAcosta, Juan JoseFritsche-Neto, RobertoTambarussi, Evandro Vagner [UNESP]2023-07-29T12:30:31Z2023-07-29T12:30:31Z2022-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1007/s11295-022-01570-xTree Genetics and Genomes, v. 18, n. 6, 2022.1614-29501614-2942http://hdl.handle.net/11449/24605510.1007/s11295-022-01570-x2-s2.0-85139702227Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengTree Genetics and Genomesinfo:eu-repo/semantics/openAccess2023-07-29T12:30:31Zoai:repositorio.unesp.br:11449/246055Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-07-29T12:30:31Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
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 |
title |
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 |
spellingShingle |
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 Rocha, Lucas Fernandes [UNESP] Association mapping Eucalyptus Gene ontology Genome-wide association study |
title_short |
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 |
title_full |
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 |
title_fullStr |
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 |
title_full_unstemmed |
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 |
title_sort |
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 |
author |
Rocha, Lucas Fernandes [UNESP] |
author_facet |
Rocha, Lucas Fernandes [UNESP] Benatti, Thiago Romanos de Siqueira, Leandro de Souza, Izabel Christina Gava Bianchin, Isadora de Souza, Aguinaldo José Fernandes, Aline Cristina Miranda Oda, Shinitiro Stape, José Luiz Yassue, Rafael Massahiro Carvalho, Humberto Fanelli Müller, Niels A. Fladung, Matthias Acosta, Juan Jose Fritsche-Neto, Roberto Tambarussi, Evandro Vagner [UNESP] |
author_role |
author |
author2 |
Benatti, Thiago Romanos de Siqueira, Leandro de Souza, Izabel Christina Gava Bianchin, Isadora de Souza, Aguinaldo José Fernandes, Aline Cristina Miranda Oda, Shinitiro Stape, José Luiz Yassue, Rafael Massahiro Carvalho, Humberto Fanelli Müller, Niels A. Fladung, Matthias Acosta, Juan Jose Fritsche-Neto, Roberto Tambarussi, Evandro Vagner [UNESP] |
author2_role |
author author author author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) SUZANO S.A Universidade de São Paulo (USP) Universidad Politécnica de Madrid Thünen Institute of Forest Genetics NCSU H. Rouse Caffey Rice Research Station - LSUAgCenter State University of the Central-West |
dc.contributor.author.fl_str_mv |
Rocha, Lucas Fernandes [UNESP] Benatti, Thiago Romanos de Siqueira, Leandro de Souza, Izabel Christina Gava Bianchin, Isadora de Souza, Aguinaldo José Fernandes, Aline Cristina Miranda Oda, Shinitiro Stape, José Luiz Yassue, Rafael Massahiro Carvalho, Humberto Fanelli Müller, Niels A. Fladung, Matthias Acosta, Juan Jose Fritsche-Neto, Roberto Tambarussi, Evandro Vagner [UNESP] |
dc.subject.por.fl_str_mv |
Association mapping Eucalyptus Gene ontology Genome-wide association study |
topic |
Association mapping Eucalyptus Gene ontology Genome-wide association study |
description |
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. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-12-01 2023-07-29T12:30:31Z 2023-07-29T12:30:31Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1007/s11295-022-01570-x Tree Genetics and Genomes, v. 18, n. 6, 2022. 1614-2950 1614-2942 http://hdl.handle.net/11449/246055 10.1007/s11295-022-01570-x 2-s2.0-85139702227 |
url |
http://dx.doi.org/10.1007/s11295-022-01570-x http://hdl.handle.net/11449/246055 |
identifier_str_mv |
Tree Genetics and Genomes, v. 18, n. 6, 2022. 1614-2950 1614-2942 10.1007/s11295-022-01570-x 2-s2.0-85139702227 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Tree Genetics and Genomes |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1799964792464605184 |