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The world’s first high-quality tissue gene expression map of beef cattle was released


Huaxi cattle adult cows. Courtesy of the Chinese Academy of Agricultural Sciences

West China calves. Courtesy of the Chinese Academy of Agricultural Sciences

Researchers construct high-quality tissue gene expression profiles for beef cattle. Courtesy of the Chinese Academy of Agricultural Sciences

Recently, the bovine genetics and breeding technology innovation team of the Beijing Institute of Animal Husbandry and Veterinary Medicine of the Chinese Academy of Agricultural Sciences successfully constructed the world’s first high-quality tissue gene expression map of beef cattle. The atlas has the advantages of wide organization coverage, high resolution and strong referency, which provides an important database for new gene mining and functional verification, and provides theoretical support for the in-depth analysis of the genetic basis and regulatory mechanism of traits in the formation process of beef cattle breeds. The results were published in BMC Biology.

The study, which took Huaxi cattle as the object, revealed the evolutionary conservatism, tissue specificity and molecular network regulation mechanism of important genes, improved the annotation information of bovine genomes, and successfully constructed the world’s first high-quality tissue gene expression map of beef cattle by conducting large-scale multi-tissue transcriptome, integrated comparative transcriptome, and evolutionary genome.

At the same time, the researchers compared the gene expression differences of important tissues in beef cattle and dairy cows, and newly discovered a number of candidate genes involved in the formation of molecular basis for regulating breeds, laying a foundation for the comprehensive identification of important economic traits in the next stage.

The research has been funded by the Scientific and Technological Innovation Project of the Chinese Academy of Agricultural Sciences and the National Beef Cattle yak Industrial Technology System. (Source: China Science Daily, Li Chen, Fu Songchuan)

Related paper information:https://doi.org/10.1186/s12915-022-01269-4



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