Improving the annotation of the cattle genome by annotating transcription start sites in a diverse set of tissues and populations using Cap Analysis Gene Expression sequencing.


Journal

G3 (Bethesda, Md.)
ISSN: 2160-1836
Titre abrégé: G3 (Bethesda)
Pays: England
ID NLM: 101566598

Informations de publication

Date de publication:
09 08 2023
Historique:
received: 27 02 2023
accepted: 09 05 2023
medline: 10 8 2023
pubmed: 22 5 2023
entrez: 22 5 2023
Statut: ppublish

Résumé

Understanding the genomic control of tissue-specific gene expression and regulation can help to inform the application of genomic technologies in farm animal breeding programs. The fine mapping of promoters [transcription start sites (TSS)] and enhancers (divergent amplifying segments of the genome local to TSS) in different populations of cattle across a wide diversity of tissues provides information to locate and understand the genomic drivers of breed- and tissue-specific characteristics. To this aim, we used Cap Analysis Gene Expression (CAGE) sequencing, of 24 different tissues from 3 populations of cattle, to define TSS and their coexpressed short-range enhancers (<1 kb) in the ARS-UCD1.2_Btau5.0.1Y reference genome (1000bulls run9) and analyzed tissue and population specificity of expressed promoters. We identified 51,295 TSS and 2,328 TSS-Enhancer regions shared across the 3 populations (dairy, beef-dairy cross, and Canadian Kinsella composite cattle from 2 individuals, 1 of each sex, per population). Cross-species comparative analysis of CAGE data from 7 other species, including sheep, revealed a set of TSS and TSS-Enhancers that were specific to cattle. The CAGE data set will be combined with other transcriptomic information for the same tissues to create a new high-resolution map of transcript diversity across tissues and populations in cattle for the BovReg project. Here we provide the CAGE data set and annotation tracks for TSS and TSS-Enhancers in the cattle genome. This new annotation information will improve our understanding of the drivers of gene expression and regulation in cattle and help to inform the application of genomic technologies in breeding programs.

Identifiants

pubmed: 37216666
pii: 7175390
doi: 10.1093/g3journal/jkad108
pmc: PMC10411599
pii:
doi:

Banques de données

figshare
['10.6084/m9.figshare.21769649']

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Biotechnology and Biological Sciences Research Council
ID : BBS/E/D/2021550
Pays : United Kingdom
Organisme : Biotechnology and Biological Sciences Research Council
ID : BBS/E/D/10002070
Pays : United Kingdom
Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/S02008X/1
Pays : United Kingdom

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press on behalf of The Genetics Society of America.

Déclaration de conflit d'intérêts

Conflicts of interest No commercial or academic conflict of interest were declared by any of the authors for this manuscript.

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Auteurs

Mazdak Salavati (M)

The Roslin Institute, University of Edinburgh, Edinburgh EH25 9RG, UK.

Richard Clark (R)

Edinburgh Clinical Research Facility, Genetics Core, University of Edinburgh, Edinburgh EH4 2XU, UK.

Doreen Becker (D)

Institute of Genome Biology, Research Institute for Farm Animal Biology (FBN), Dummerstorf 18196, Germany.

Christa Kühn (C)

Institute of Genome Biology, Research Institute for Farm Animal Biology (FBN), Dummerstorf 18196, Germany.
Faculty of Agricultural and Environmental Sciences, University Rostock, Rostock 18059, Germany.

Graham Plastow (G)

Department of Agricultural, Food and Nutritional Science, Livestock Gentec, University of Alberta, Edmonton T6G 2H1, Canada.

Sébastien Dupont (S)

Unit of Animal Genomics, GIGA Institute, University of Liège, Liège 4000, Belgium.

Gabriel Costa Monteiro Moreira (GCM)

Unit of Animal Genomics, GIGA Institute, University of Liège, Liège 4000, Belgium.

Carole Charlier (C)

Unit of Animal Genomics, GIGA Institute, University of Liège, Liège 4000, Belgium.
Faculty of Veterinary Medicine, University of Liège, Liège 4000, Belgium.

Emily Louise Clark (EL)

The Roslin Institute, University of Edinburgh, Edinburgh EH25 9RG, UK.

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Classifications MeSH