Population-level gene expression can repeatedly link genes to functions in maize.
Plant J
; 119(2): 844-860, 2024 Jul.
Article
em En
| MEDLINE
| ID: mdl-38812347
ABSTRACT
Transcriptome-wide association studies (TWAS) can provide single gene resolution for candidate genes in plants, complementing genome-wide association studies (GWAS) but efforts in plants have been met with, at best, mixed success. We generated expression data from 693 maize genotypes, measured in a common field experiment, sampled over a 2-h period to minimize diurnal and environmental effects, using full-length RNA-seq to maximize the accurate estimation of transcript abundance. TWAS could identify roughly 10 times as many genes likely to play a role in flowering time regulation as GWAS conducted data from the same experiment. TWAS using mature leaf tissue identified known true-positive flowering time genes known to act in the shoot apical meristem, and trait data from a new environment enabled the identification of additional flowering time genes without the need for new expression data. eQTL analysis of TWAS-tagged genes identified at least one additional known maize flowering time gene through trans-eQTL interactions. Collectively these results suggest the gene expression resource described here can link genes to functions across different plant phenotypes expressed in a range of tissues and scored in different experiments.
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Regulação da Expressão Gênica de Plantas
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Zea mays
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Flores
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Locos de Características Quantitativas
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Estudo de Associação Genômica Ampla
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Transcriptoma
Idioma:
En
Revista:
Plant J
Ano de publicação:
2024
Tipo de documento:
Article