AI Article Synopsis

  • The study highlights the need for a comprehensive functional annotation of the sheep genome to better understand agronomic traits, particularly regarding tail fat weight.
  • Researchers created an extensive dataset combining transcriptomic, epigenomic, whole-genome, and phenotypic data across multiple sheep breeds, identifying over 750,000 functional elements, with 60% being novel.
  • Key findings include tissue-specific regulatory elements related to sensory and immune functions and a specific genetic variant linked to tail fat deposition, paving the way for future complex trait studies in sheep.

Article Abstract

Comprehensive functional genome annotation is crucial to elucidate the molecular mechanisms of agronomic traits in livestock, yet systematic functional annotation of the sheep genome is lacking. Here, we generated 92 transcriptomic and epigenomic data sets from nine major tissues, along with whole-genome data from 2357 individuals across 29 breeds worldwide, and 4006 phenotypic data related to tail fat weight. We constructed the first multi-tissue epigenome atlas in terms of functional elements, chromatin states, and their functions and explored the utility of the functional elements in interpreting phenotypic variation during sheep domestication and improvement. Particularly, we identified a total of 753,723 nonredundant functional elements, with over 60% being novel. We found tissue-specific promoters and enhancers related to sensory abilities and immune response that were highly enriched in genomic regions influenced by domestication, while tissue-specific active enhancers and tail fat tissue-specific active promoters were highly enriched in genomic regions influenced by breeding and improvement. Notably, a variant, Chr13:51760995A>C, located in an enhancer region, was identified as a causal variant for tail fat deposition based on multi-layered data sets. Overall, this research provides foundational resources and a successful case for future investigations of complex traits in sheep through the integration of multi-omics data sets.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11683475PMC
http://dx.doi.org/10.1002/imt2.254DOI Listing

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