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

dc.contributorFernanda A. de Oliveira, UNICAMP; BIANCA BACCILI ZANOTTO VIGNA, CPPSE; Carla C. da Silva, UNICAMP; ALESSANDRA PEREIRA FAVERO, CPPSE; FREDERICO DE PINA MATTA, CPPSE; ANA LUISA SOUSA AZEVEDO, CNPGL; Anete P. de Souza, UNICAMP.
dc.creatorOLIVEIRA, F. A. de
dc.creatorVIGNA, B. B. Z.
dc.creatorSILVA, C. C. da
dc.creatorFAVERO, A. P.
dc.creatorMATTA, F. de P.
dc.creatorAZEVEDO, A. L. S.
dc.creatorSOUZA, A. P. de
dc.date2020-04-07T00:50:11Z
dc.date2020-04-07T00:50:11Z
dc.date2020-04-06
dc.date2020
dc.date2020-04-20T11:11:11Z
dc.date.accessioned2026-07-07T05:28:10Z
dc.descriptionRNA 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].
dc.format15 p.
dc.identifierBMC Genomics, v. 21, n. 78, 2020.
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1121557
dc.identifierhttps://doi.org/10.1186/s12864-020-6518-z
dc.identifier.urihttp://hdl.handle.net/123456789/492226
dc.languageeng
dc.rightsopenAccess
dc.subjectDifferential expression
dc.subjectGene coexpression network
dc.subjectRNA sequencing
dc.subjectApomixis
dc.subjectPaspalum
dc.titleCoexpression and transcriptome analyses identify active apomixis-related genes in Paspalum notatum leaves.
dc.typeArtigo de periódico

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