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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Genome-wide association and high-resolution phenotyping link Oryza sativa panicle traits to numerous trait-specific QTL clusters

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Autor(es):
Crowell, Samuel [1] ; Korniliev, Pavel [2] ; Falcao, Alexandre [3] ; Ismail, Abdelbagi [4] ; Gregorio, Glenn [5] ; Mezey, Jason [2] ; McCouch, Susan [1, 2, 6]
Número total de Autores: 7
Afiliação do(s) autor(es):
[1] Cornell Univ, Plant Biol Sect, Sch Integrat Plant Sci, Ithaca, NY 14853 - USA
[2] Cornell Univ, Dept Biol Stat & Computat Biol, Ithaca, NY 14853 - USA
[3] Univ Estadual Campinas, Dept Informat Syst, Inst Comp, BR-13083852 Sao Paulo - Brazil
[4] Int Rice Res Inst, Crop & Environm Sci Div, DAPO Box 7777, Manila 1301 - Philippines
[5] Int Rice Res Insititute, Plant Breeding Genet & Biotechnol Div, Los Banos 4031, Laguna - Philippines
[6] Cornell Univ, Plant Breeding & Genet Sect, Sch Integrat Plant Sci, 162 Emerson Hall, Ithaca, NY 14853 - USA
Número total de Afiliações: 6
Tipo de documento: Artigo Científico
Fonte: NATURE COMMUNICATIONS; v. 7, FEB 2016.
Citações Web of Science: 49
Resumo

Rice panicle architecture is a key target of selection when breeding for yield and grain quality. However, panicle phenotypes are difficult to measure and susceptible to confounding during genetic mapping due to correlation with flowering and subpopulation structure. Here we quantify 49 panicle phenotypes in 242 tropical rice accessions with the imaging platform PANorama. Using flowering as a covariate, we conduct a genome-wide association study (GWAS), detect numerous subpopulation-specific associations, and dissect multi-trait peaks using panicle phenotype covariates. Ten candidate genes in pathways known to regulate plant architecture fall under GWAS peaks, half of which overlap with quantitative trait loci identified in an experimental population. This is the first study to assess inflorescence phenotypes of field-grown material using a high-resolution phenotyping platform. Herein, we establish a panicle morphocline for domesticated rice, propose a genetic model underlying complex panicle traits, and demonstrate subtle links between panicle size and yield performance. (AU)

Processo FAPESP: 11/03110-6 - Análise de imagens 3D de raízes de plantas visando associações genótipo-fenótipo
Beneficiário:Alexandre Xavier Falcão
Linha de fomento: Bolsas no Exterior - Pesquisa