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hybridexpress: an R/Bioconductor package for comparative transcriptomic analyses of hybrids and their progenitors.
Almeida-Silva, Fabricio; Prost-Boxoen, Lucas; Van de Peer, Yves.
Afiliação
  • Almeida-Silva F; Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052, Ghent, Belgium.
  • Prost-Boxoen L; VIB Center for Plant Systems Biology, VIB, 9052, Ghent, Belgium.
  • Van de Peer Y; Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052, Ghent, Belgium.
New Phytol ; 243(2): 811-819, 2024 Jul.
Article em En | MEDLINE | ID: mdl-38798271
ABSTRACT
Hybridization, the process of crossing individuals from diverse genetic backgrounds, plays a pivotal role in evolution, biological invasiveness, and crop breeding. At the transcriptional level, hybridization often leads to complex nonadditive effects, presenting challenges for understanding its consequences. Although standard transcriptomic analyses exist to compare hybrids to their progenitors, such analyses have not been implemented in a software package, hindering reproducibility. We introduce hybridexpress, an R/Bioconductor package designed to facilitate the analysis, visualization, and comparison of gene expression patterns in hybrid triplets (hybrids and their progenitors). hybridexpress provides users with a user-friendly and comprehensive workflow that includes all standard comparative analyses steps, including data normalization, calculation of midparent expression values, sample clustering, expression-based gene classification into categories and classes, and overrepresentation analysis for functional terms. We illustrate the utility of hybridexpress through comparative transcriptomic analyses of cotton allopolyploidization and rice root trait heterosis. hybridexpress is designed to streamline comparative transcriptomic studies of hybrid triplets, advancing our understanding of evolutionary dynamics in allopolyploids, and enhancing plant breeding strategies. hybridexpress is freely accessible from Bioconductor (https//bioconductor.org/packages/HybridExpress) and its source code is available on GitHub (https//github.com/almeidasilvaf/HybridExpress).
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Oryza / Software / Perfilação da Expressão Gênica / Transcriptoma / Hibridização Genética Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Oryza / Software / Perfilação da Expressão Gênica / Transcriptoma / Hibridização Genética Idioma: En Ano de publicação: 2024 Tipo de documento: Article