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第十三届（2018）中国牛业发展大会

作者： Bo Li Yuanqing Zhang Institute of Animal Husbandry and Veterinary Science Shanxi Academy of Agricultural Science

Background: Jinnan cattle, one of the five major breeds of Chinese yellow cattle, are the traditional draft and beef breed in southern Shanxi province, China. Our study aimed to search genes that will allow the selection of important economic traits through selection signature detection, which can help in discovering the action mechanism of positive selection in the variety breeding process of Jinnan cattle. Results: In total, 39,814 autosomal single nucleotide polymorphisms were detected in 48 individuals. The integrated haplotype score method found 19 significant genomic regions. Annotation of these regions of the genome identified selection signatures for 61 candidate genes, including 11 interesting genes annotated in significant regions that overlapped with data from both quantitative trait loci and genome-wide association studies, which were associated with meat traits in the cattle population. Gene Ontology analysis demonstrated that the selection signatures were positively related to the regulation of muscle cell proliferation. Conclusions: These results confirm the importance of Chinese Jinnan cattle as genetic resources for beef breeding and the need to preserve populations.

关键词： breeding integrated haplotype score Jinnan cattle selection signature

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Genomic signatures of selection,local adaptation and production type characterisation of East Adriatic sheep breeds

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Journal of Animal Science and Biotechnology 2024年第2期15卷 546-562页

作者： Boris Lukic Ino Curik Ivana Drzaic Vlatko Galić Mario Shihabi LubošVostry Vlatka Cubric-Curik Faculty of Agrobiotechnical Sciences Osijek J.JStrossmayer University of OsijekVladimira Preloga 131000 OsijekCroatia Department of Animal Science Faculty of AgricultureUniversity of ZagrebSvetošimunska Cesta 2510000 ZagrebCroatia Department of Maize Breeding and Genetics Agricultural Institute OsijekJužno predgrađe 1731000 OsijekCroatia Czech University of Life Sciences Prague Kamycka 12916500 PraqueCzech Republic

Background The importance of sheep breeding in the Mediterranean part of the eastern Adriatic has a long tradition since its arrival during the Neolithic *** production system is extensive and generally carried out in traditional systems without intensive systematic breeding programmes for high uniform trait production(carcass,wool and milk yield).Therefore,eight indigenous Croatian sheep breeds from eastern Adriatic treated here as metapopulation(EAS),are generally considered as multipurpose breeds(milk,meat and wool),not specialised for a particular type of production,but known for their robustness and resistance to certain environmental *** objective was to identify genomic regions and genes that exhibit patterns of positive selection signatures,decipher their biological and productive functionality,and provide a"genomic"characterization of EAS adaptation and determine its production *** We identified positive selection signatures in EAS using several methods based on reduced local variation,linkage disequilibrium and site frequency spectrum(eROHi,iHS,nSL and CLR).Our analyses identified numerous genomic regions and genes(e.g.,desmosomal cadherin and desmoglein gene families)associated with environmental adaptation and economically important *** candidate genes were related to meat/production and health/immune response traits,while some of the candidate genes discovered were important for domestication and evolutionary processes(e.g.,HOXa gene family and FSIP2).These results were also confirmed by GO and QTL enrichment *** Our results contribute to a better understanding of the unique adaptive genetic architecture of EAS and define its productive type,ultimately providing a new opportunity for future breeding *** the same time,the numerous genes identified will improve our understanding of ruminant(sheep)robustness and resistance in the harsh and specific Mediterranean environment.

关键词： Composite-likelihood ratio East Adriatic sheep Extreme ROH islands Genomic selection signatures integrated haplotype score Number of segregating sites by length

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