Coexpression and transcriptome analyses identify active apomixis-related genes in Paspalum notatum leaves.

• Autor(a) principal: OLIVEIRA, F. A. de
• Data de Publicação: 2020
• Outros Autores: VIGNA, B. B. Z., SILVA, C. C. da, FAVERO, A. P., MATTA, F. de P., AZEVEDO, A. L. S., SOUZA, A. P. de
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
• Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1121557; https://doi.org/10.1186/s12864-020-6518-z
• topic: Differential expression; Gene coexpression network; RNA sequencing; Apomixis; Paspalum

RNA sequencing (RNA-seq) is the most effective method for simultaneously predicting new transcripts and identifying differentially expressed genes among distinct tissues, genotypes, abiotic conditions and developmental stages [1]. Conversely, considering the large amount of data generated from RNA-seq, new approaches that efficiently extract meaningful associations from highly multivariate datasets are needed [2]. Transcriptome coexpression studies can show how complex phenotypes depend on the activity of coordinated batteries of genes [3]. Therefore, the construction of coexpression networks based on gene expression data using correlation metrics provides valuable information regarding alterations in biological systems in response to differential gene expression patterns [2, 4].