Identification of quantitative trait loci for fat percentage in buffaloes
-
Published:2018-06-22
Issue:6
Volume:88
Page:714-723
-
ISSN:0367-8318
-
Container-title:The Indian Journal of Animal Sciences
-
language:
-
Short-container-title:Indian J of Anim Sci
Author:
SHARMA UPASNA,BANERJEE PRIYANKA,JOSHI JYOTI,KAPOOR PRERNA,VIJH RAMESH KUMAR
Abstract
The milk fat percentage records of 2174 daughters belonging to 12 half sib families were analyzed for the identification of QTLs on 8 chromosomes in buffaloes using chromosome scans. The single marker analysis revealed 49 markers to be associated with milk fat percentage in 10 sire families. The interval mapping using R/qtl identified 43 QTLs on 8 chromosomes of buffalo. The meta-QTL analysis was carried out to define consensus QTLs in buffaloes and total 28 meta-QTL regions could be identified for milk fat percentage. Most of the QTLs identified in the experiments have been reported for cattle; however, few new chromosomal locations were also identified to be associated with fat percentage in buffaloes. The additional QTLs identified in buffalo may be due to high level of heterozygosity in buffalo compared to Holstein Friesian and other exotic milk breeds for which QTLs have beenreported. Assuming buffalo-cattle synteny, a total of 1118 genes were identified underlying the QTL regions, out of these 45 genes were identified to be associated with lipid metabolism. The interaction among the genes and gene ontology analysis confirmed their association with lipid metabolism. These 45 genes have potential to be candidate genes for milk fat percentage in buffaloes and underlie the QTL regions identified in buffaloes in the present study.
Publisher
Indian Council of Agricultural Research, Directorate of Knowledge Management in Agriculture
Subject
General Veterinary,Animal Science and Zoology
Reference40 articles.
1. Amaral M E J, Grant J R, Riggs P K, Stafuzza N B, Filho E A R, Goldammer T, Weikard R, Brunner R M, Kochan K J, Greco A J, Jeong J, Cai Z, Lin G, Prasad A, Kumar S, Saradhi G P, Mathew B, Kumar M A, Miziara M N, Mariani P, Caetano A R, Galvgo S R, Tantia M S, Vijh R K, Mishra B, Bharani Kumar S T, Pelai V A, Santana A M, Fornitano L C, Jones B C, Tonhati H, Moore S, Stothard P and Womack J E. 2008. A first generation whole genome RH map of the river buffalo with comparison to domestic cattle. BMC Genomics 9: 631– 41. 2. Annual reports of AICRP-Network project on buffalo improvement 2013–2014, 2014–2015 and 2015–2016. Available at http://www.cirb.res.in/attachments/289_nwp.pdf. 3. Ashwell M S, Heyen D W, Sonstegard T S, Van Tassell C P, Da Y, VanRaden P M, Ron M, Weller J I and Lewin H A. 2004. Detection of quantitative trait loci affecting milk production, health, and reproductive traits in Holstein cattle. Journal of Dairy Science 87(2): 468–75. 4. Bennewitz J, Reinsch N, Grohs C, Leveziel H, Malafosse A, Thomsen H, Xu N and Looft C. 2003. Combined analysis of data from two granddaughter designs: A simple strategy for QTL confirmation and increasing experimental power in dairy cattle. Genetics, Selection, Evolution 3(35): 319–38. 5. Boichard D, Grohs C, Bourgeois F, Cerqueira F, Faugeras R, Neau A, Rupp R, Amigues Y, Boscher M Y and Levziel H. 2003. Detection of genes influencing economic traits in three French dairy cattle breeds. Genetics, Selection, Evolution 1(35): 77– 101.
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|