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An updated Gallus gallus genome annotation through multi-tissue transcriptome analysis

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posted on 2025-05-23, 00:02 authored by University of Washington
This study presents an updated genome annotation of Gallus gallus through a comprehensive multi-tissue transcriptome analysis aimed at enhancing the Functional Annotation of Animal Genomes (FAANG) efforts. Having generated RNA sequencing data from 20 different chicken tissues and cell types, this allowed for the identification of 110,930 transcript isoforms, including approximately 37,000 novel and unannotated transcripts. This expanded transcriptome resource comprises diverse biological systems, including digestive, immune, reproductive, and muscular tissues, significantly enhancing transcript diversity and functional annotation. Using advanced bioinformatics tools, we analyzed allele-specific expression (ASE) across these tissues, revealing 365,984 ASE single nucleotide polymorphisms (SNPs) and 11,530 unique ASE genes. Our findings elucidate the intricate landscape of gene expression patterns and allelic imbalances, providing insights into potential cis-regulatory mechanisms influencing traits relevant to poultry production and health. Notably, tissue-specific isoforms and differentially expressed genes, particularly in reproductive and muscle tissues, showcase their relevance for traits like fertility and meat quality. The identification of novel lncRNAs and protein-coding genes underscores the complexity of the chicken genome and the necessity of continued genomic improvements. Collectively, this work contributes valuable resources for breeding strategies focused on disease resistance and productivity enhancement in chickens, addressing global agricultural challenges and the evolving needs of poultry science.

Funding

USDA-NIFA: 2018-67015-27499

History

Data contact name

BioProject Curation Staff

Publisher

National Center for Biotechnology Information

Temporal Extent Start Date

2024-11-06

Theme

  • Non-geospatial

ISO Topic Category

  • biota

National Agricultural Library Thesaurus terms

sequence analysis

Pending citation

  • No

Public Access Level

  • Public

Accession Number

PRJNA1182787

Preferred dataset citation

It is recommended to cite the accession numbers that are assigned to data submissions, e.g. the GenBank, WGS or SRA accession numbers. If individual BioProjects need to be referenced, state that "The data have been deposited with links to BioProject accession number PRJNA1182787 in the NCBI BioProject database (https://www.ncbi.nlm.nih.gov/bioproject/)."

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