AMB_2024v14n2

Animal Molecular Breeding 2024, Vol.14, No.2, 141-153 http://animalscipublisher.com/index.php/amb 151 Eenennaam A.L.V., Weigel K.A., Young A.E., Cleveland M., and Dekkers J., 2014, Applied animal genomics: results from the field, Annual Review of Animal Biosciences, 2: 105-139. https://doi.org/10.1146/annurev-animal-022513-114119 PMID: 25384137 Fang L.Z., Cai W.T., Liu S.L., Canela‐Xandri O., Gao Y.H., Jiang J., Rawlik K., Li B., Schroeder S., Rosen B., Li C., Sonstegard T., Alexander L., Tassell C., VanRaden P., Cole J.B., Yu Y., Zhang S.L., Tenesa A., Ma L., and Liu G.E., 2020, Comprehensive analyses of 723 transcriptomes enhance genetic and biological interpretations for complex traits in cattle, Genome Research, 30(5): 790-801. https://doi.org/10.1101/gr.250704.119 PMID: 32424068 PMCID: PMC7263193 Foissac S., Djebali S., Munyard K., Vialaneix N., Rau A., Acloque H., Lagarrigue S., and Giuffra E., 2019, 32 Functional annotation of livestock genomes: chromatin structure and regulation of gene expression, Journal of Animal Science, 97(Suppl 2): 15-16. https://doi.org/10.1093/JAS/SKZ122.028 Fontanesi L., 2016, Metabolomics and livestock genomics: Insights into a phenotyping frontier and its applications in animal breeding, Animal Frontiers, 6(1): 73-79. https://doi.org/10.2527/AF.2016-0011 Goldansaz S.A., Guo A.C., Sajed T., Steele M., Plastow G., and Wishart D., 2017, Livestock metabolomics and the livestock metabolome: a systematic review, PLoS One, 12(5): e0177675. https://doi.org/10.1371/journal.pone.0177675 PMID: 28531195 PMCID: PMC5439675 Hayes B.J., Bowman P.J., Chamberlain A., and Goddard M., 2009, Invited review: genomic selection in dairy cattle: progress and challenges, Journal of Dairy Science, 92(2) 433-443. https://doi.org/10.3168/jds.2008-1646 PMID: 19164653 Ivanisevic J., Zhu Z.J., Plate L., Tautenhahn R., Chen S., O'Brien P.J., Johnson C.H., Marletta M., Patti G.J., and Siuzdak G., 2013, Toward 'omic scale metabolite profiling: a dual separation-mass spectrometry approach for coverage of lipid and central carbon metabolism, Analytical Chemistry, 85(14): 6876-6884. https://doi.org/10.1021/ac401140h PMID: 23781873 PMCID: PMC3761963 Jendoubi T., 2021, Approaches to integrating metabolomics and multi-omics data: a primer, Metabolites, 11(3): 184. https://doi.org/10.3390/metabo11030184 PMID: 33801081 PMCID: PMC8003953 Jendoubi T., and Ebbels T., 2018, Integrative analysis of time course metabolic data and biomarker discovery, BMC Bioinformatics, 21(1): 11. https://doi.org/10.1186/s12859-019-3333-0 PMID: 31918658 PMCID: PMC6953149 Jonas E., and de Koning D.J., 2015, Genomic selection needs to be carefully assessed to meet specific requirements in livestock breeding programs, Frontiers in Genetics, 6: 49. https://doi.org/10.3389/fgene.2015.00049 PMID: 25750652 PMCID: PMC4335173 Kaur B., Sandhu K.S., Kamal R., Kaur K., Singh J., Röder M.S., and Muqaddasi Q.H., 2021, Omics for the improvement of abiotic, biotic, and agronomic traits in major cereal crops: applications, challenges, and prospects, Plants, 10(10): 1989. https://doi.org/10.3390/plants10101989 PMID: 34685799 PMCID: PMC8541486 Kumar D., Bansal G., Narang A., Basak T., Abbas T., and Dash D., 2016, Integrating transcriptome and proteome profiling: strategies and applications, Proteomics, 16(19): 2533-2544. https://doi.org/10.1002/pmic.201600140 Langridge P., and Fleury D., 2011, Making the most of 'omics' for crop breeding, Trends in Biotechnology, 29(1): 33-40. https://doi.org/10.1016/j.tibtech.2010.09.006 PMID: 21030098 Li S.S., Wang Q.J., Lin X., Jin X., Liu L., Wang C., Chen Q., Liu J.X., and Liu H.Y., 2017, The use of “omics” in lactation research in dairy cows, International Journal of Molecular Sciences, 18(5): 983. https://doi.org/10.3390/ijms18050983 PMID: 28475129 PMCID: PMC5454896 Long J.A., 2020, The 'omics' revolution: Use of genomic, transcriptomic, proteomic and metabolomic tools to predict male reproductive traits that impact fertility in livestock and poultry, Animal Reproduction Science, 220: 106354. https://doi.org/10.1016/j.anireprosci.2020.106354 PMID: 32482486 Loor J.J., Bionaz M., and Drackley J.K., 2013, Systems physiology in dairy cattle: nutritional genomics and beyond, Annual Review of Animal Biosciences, 1: 365-92

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