FEVER: an interactive web-based resource for evolutionary transcriptomics across fishes - Laboratoire de Physiologie et Génomique des Poissons Inra UR 1037 Access content directly
Journal Articles Nucleic Acids Research Year : 2024

FEVER: an interactive web-based resource for evolutionary transcriptomics across fishes

Abstract

Teleost fish represent one of the largest and most diverse clades of vertebrates, which makes them great models in various research areas such as ecology and evolution. Recent sequencing endeavors provided high-quality genomes for species covering the main fish evolutionary lineages, opening up large-scale comparative genomics studies. However, transcriptomic data across fish species and organs are heterogenous and have not been integrated with newly sequenced genomes making gene expression quantification and comparative analyses particularly challenging. Thus, resources integrating genomic and transcriptomic data across fish species and organs are still lacking. Here, we present FEVER, a web-based resource allowing evolutionary transcriptomics across species and tissues. First, based on query genes FEVER reconstructs gene trees providing orthologous and paralogous relationships as well as their evolutionary dynamics across 13 species covering the major fish lineages, and 4 model species as evolutionary outgroups. Second, it provides unbiased gene expression across 11 tissues using up-to-date fish genomes. Finally, genomic and transcriptomic data are combined together allowing the exploration of gene expression evolution following speciation and duplication events. FEVER is freely accessible at https://fever.sk8.inrae.fr/.
Fichier principal
Vignette du fichier
montfort_NAR_2024.pdf (985.22 Ko) Télécharger le fichier
Origin : Publisher files allowed on an open archive
licence : CC BY - Attribution

Dates and versions

hal-04537581 , version 1 (09-04-2024)

Licence

Attribution

Identifiers

Cite

Jérôme Montfort, Francisca Hervas-Sotomayor, Aurélie Le Cam, Florent Murat. FEVER: an interactive web-based resource for evolutionary transcriptomics across fishes. Nucleic Acids Research, inPress, ⟨10.1093/nar/gkae264⟩. ⟨hal-04537581⟩
27 View
2 Download

Altmetric

Share

Gmail Facebook X LinkedIn More