Genome-Wide Association Studies for Lactation Performance in Buffaloes

被引:0
作者
Li, Wangchang [2 ]
Li, Henggang [1 ,2 ,3 ]
Yang, Chunyan [1 ,3 ]
Zheng, Haiying [1 ,3 ]
Duan, Anqin [1 ,3 ]
Huang, Liqing [1 ]
Feng, Chao [1 ,3 ]
Yang, Xiaogan [2 ]
Shang, Jianghua [1 ,2 ]
机构
[1] Chinese Acad Agr Sci, Guangxi Buffalo Res Inst, Guangxi Key Lab Buffalo Genet Reprod & Breeding, Nanning 530001, Peoples R China
[2] Guangxi Univ, Coll Anim Sci & Technol, Guangxi Key Lab Anim Breeding Dis Control & Preven, Nanning 530004, Peoples R China
[3] Minist Agr & Rural Affairs, Key Lab Buffalo Genet Breeding & Reprod Technol, Nanning 530001, Peoples R China
基金
中国国家自然科学基金;
关键词
buffalo; milk production traits; genome-wide association study; MILK-PRODUCTION TRAITS; DGAT1;
D O I
10.3390/genes16020163
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Background: Buffaloes are considered an indispensable genetic resource for dairy production. However, improvements in lactation performance have been relatively limited. Advances in sequencing technology, combined with genome-wide association studies, have facilitated the breeding of high-quality buffalo. Methods: We conducted an integrated analysis of genomic sequencing data from 120 water buffalo, the high-quality water buffalo genome assembly designated as UOA_WB_1, and milk production traits, including 305-day milk yield (MY), peak milk yield (PM), total protein yield (PY), protein percentage (PP), fat percentage (FP), and total milk fat yield (FY). Results: The results identified 56 significant SNPs, and based on these markers, 54 candidate genes were selected. These candidate genes were significantly enriched in lactation-related pathways, such as the cAMP signaling pathway (ABCC4), TGF-beta signaling pathway (LEFTY2), Wnt signaling pathway (CAMK2D), and metabolic pathways (DGAT1). Conclusions: These candidate genes (e.g., ABCC4, LEFTY2, CAMK2D, DGAT1) provide a substantial theoretical foundation for molecular breeding to enhance milk production in buffaloes.
引用
收藏
页数:19
相关论文
共 38 条
[1]   Nutritional Value and Technological Suitability of Milk from Various Animal Species Used for Dairy Production [J].
Barlowska, J. ;
Szwajkowska, M. ;
Litwinczuk, Z. ;
Krol, J. .
COMPREHENSIVE REVIEWS IN FOOD SCIENCE AND FOOD SAFETY, 2011, 10 (06) :291-302
[2]   OVarFlow: a resource optimized GATK 4 based Open source Variant calling workFlow [J].
Bathke, Jochen ;
Luehken, Gesine .
BMC BIOINFORMATICS, 2021, 22 (01)
[3]   Identification of oxytocin-related lncRNAs and assessment of their expression in breast cancer [J].
Behtaji, Sepehr ;
Ghafouri-Fard, Soudeh ;
Sayad, Arezou ;
Sattari, Ali ;
Rederstorff, Mathieu ;
Taheri, Mohammad .
SCIENTIFIC REPORTS, 2021, 11 (01)
[4]   Effects of the DGAT1 polymorphism on test-day milk production traits throughout lactation [J].
Bovenhuis, H. ;
Visker, M. H. P. W. ;
van Valenberg, H. J. F. ;
Buitenhuis, A. J. ;
van Arendonk, J. A. M. .
JOURNAL OF DAIRY SCIENCE, 2015, 98 (09) :6572-6582
[5]   TASSEL: software for association mapping of complex traits in diverse samples [J].
Bradbury, Peter J. ;
Zhang, Zhiwu ;
Kroon, Dallas E. ;
Casstevens, Terry M. ;
Ramdoss, Yogesh ;
Buckler, Edward S. .
BIOINFORMATICS, 2007, 23 (19) :2633-2635
[6]   Chapter 11: Genome-Wide Association Studies [J].
Bush, William S. ;
Moore, Jason H. .
PLOS COMPUTATIONAL BIOLOGY, 2012, 8 (12)
[7]   Second-generation PLINK: rising to the challenge of larger and richer datasets [J].
Chang, Christopher C. ;
Chow, Carson C. ;
Tellier, Laurent C. A. M. ;
Vattikuti, Shashaank ;
Purcell, Shaun M. ;
Lee, James J. .
GIGASCIENCE, 2015, 4
[8]   The ABCC4 membrane transporter modulates platelet aggregation [J].
Cheepala, Satish B. ;
Pitre, Aaron ;
Fukuda, Yu ;
Takenaka, Kazumasa ;
Zhang, Yuanyuan ;
Wang, Yao ;
Frase, Sharon ;
Pestina, Tamara ;
Gartner, T. Kent ;
Jackson, Carl ;
Schuetz, John D. .
BLOOD, 2015, 126 (20) :2307-2319
[9]   Twelve years of SAMtools and BCFtools [J].
Danecek, Petr ;
Bonfield, James K. ;
Liddle, Jennifer ;
Marshall, John ;
Ohan, Valeriu ;
Pollard, Martin O. ;
Whitwham, Andrew ;
Keane, Thomas ;
McCarthy, Shane A. ;
Davies, Robert M. ;
Li, Heng .
GIGASCIENCE, 2021, 10 (02)
[10]   Milk proteome from in silico data aggregation allows the identification of putative biomarkers of negative energy balance in dairy cows [J].
Delosiere, Mylene ;
Pires, Jose ;
Bernard, Laurence ;
Cassar-Malek, Isabelle ;
Bonnet, Muriel .
SCIENTIFIC REPORTS, 2019, 9 (1)