Long non-coding RNAs mediate fish gene expression in response to ocean acidification.

RNA sequencing annotation environmental change epigenetic regulation lncRNAs ocean acidification

Journal

Evolutionary applications
ISSN: 1752-4571
Titre abrégé: Evol Appl
Pays: England
ID NLM: 101461828

Informations de publication

Date de publication:
Feb 2024
Historique:
received: 24 08 2023
revised: 18 01 2024
accepted: 23 01 2024
medline: 15 2 2024
pubmed: 15 2 2024
entrez: 15 2 2024
Statut: epublish

Résumé

The majority of the transcribed genome does not have coding potential but these non-coding transcripts play crucial roles in transcriptional and post-transcriptional regulation of protein-coding genes. Regulation of gene expression is important in shaping an organism's response to environmental changes, ultimately impacting their survival and persistence as population or species face global change. However, the roles of long non-coding RNAs (lncRNAs), when confronted with environmental changes, remain largely unclear. To explore the potential role of lncRNAs in fish exposed to ocean acidification (OA), we analyzed publicly available brain RNA-seq data from a coral reef fish

Identifiants

pubmed: 38357358
doi: 10.1111/eva.13655
pii: EVA13655
pmc: PMC10866067
doi:

Banques de données

figshare
['10.6084/m9.figshare.20045780']

Types de publication

Journal Article

Langues

eng

Pagination

e13655

Informations de copyright

© 2024 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd.

Déclaration de conflit d'intérêts

All authors declare that they have no competing interests.

Auteurs

Jingliang Kang (J)

Swire Institute of Marine Science, School of Biological Sciences The University of Hong Kong Pokfulam Hong Kong SAR.

Arthur Chung (A)

Swire Institute of Marine Science, School of Biological Sciences The University of Hong Kong Pokfulam Hong Kong SAR.

Sneha Suresh (S)

Swire Institute of Marine Science, School of Biological Sciences The University of Hong Kong Pokfulam Hong Kong SAR.

Lucrezia C Bonzi (LC)

Swire Institute of Marine Science, School of Biological Sciences The University of Hong Kong Pokfulam Hong Kong SAR.

Jade M Sourisse (JM)

Swire Institute of Marine Science, School of Biological Sciences The University of Hong Kong Pokfulam Hong Kong SAR.

Sandra Ramirez-Calero (S)

Swire Institute of Marine Science, School of Biological Sciences The University of Hong Kong Pokfulam Hong Kong SAR.

Daniele Romeo (D)

Swire Institute of Marine Science, School of Biological Sciences The University of Hong Kong Pokfulam Hong Kong SAR.

Natalia Petit-Marty (N)

Swire Institute of Marine Science, School of Biological Sciences The University of Hong Kong Pokfulam Hong Kong SAR.

Cinta Pegueroles (C)

Department of Genetics, Microbiology and Statistics, Institute for Research on Biodiversity (IRBio) University of Barcelona Barcelona Spain.

Celia Schunter (C)

Swire Institute of Marine Science, School of Biological Sciences The University of Hong Kong Pokfulam Hong Kong SAR.
State Key Laboratory of Marine Pollution and Department of Chemistry City University of Hong Kong Hong Kong SAR China.

Classifications MeSH