Coexpression and transcriptome analyses identify active apomixis-related genes in Paspalum notatum leaves.
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-s...
| Autores: | , , , , , , |
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| Tipo de documento: | artigo |
| Estado: | Versão publicada |
| Data de publicação: | 2020 |
| País: | Brasil |
| Recursos: | Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
| Repositório: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
| Idioma: | inglês |
| OAI Identifier: | oai:www.alice.cnptia.embrapa.br:doc/1121557 |
| Acesso em linha: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1121557 https://doi.org/10.1186/s12864-020-6518-z |
| Access Level: | Acceso aberto |
| Palavra-chave: | Differential expression Gene coexpression network RNA sequencing Apomixis Paspalum |
| Resumo: | 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]. |
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