Journal
GENOME
Volume 63, Issue 10, Pages 503-515Publisher
CANADIAN SCIENCE PUBLISHING
DOI: 10.1139/gen-2019-0227
Keywords
pork color; pork pH; GWAS; SNPs; Qingyu pigs
Funding
- Sichuan Science and Technology Program [20ZDYF1241]
- Sichuan Innovation Team of Pig [SCSZTD-3-002]
- National Key R and D Program of China [2018YFD0501204]
- National Natural Science Foundation of China [C170102, 31530073]
- Chinese National Science and Tech Support Program [2015BAD03B01, 2015GA810001]
- earmarked fund for the China Agriculture Research System [CARS-35-01A]
Ask authors/readers for more resources
The Chinese Qingyu pig breed is an invaluable indigenous genetic resource. However, few studies have investigated the genetic architecture of meat quality traits in Qingyu pigs. Here, 30 purebred Qingyu pigs were subjected to whole-genome sequencing. After quality control, 18 436 759 SNPs were retained. Genome-wide association studies (GWAS) were then performed for meat pH and color at three postmortem time points (45 min, 24 h, and 48 h) using single-marker regression analysis. In total, 11 and 69 SNPs were associated with meat pH and color of the longissimus thoracis muscle (LTM), respectively, while 54 and 29 SNPs were associated with meat pH and color of the semimembranosus muscle (SM), respectively. Seven SNPs associated with pork pH were shared by all three postmortem time points. Several candidate genes for meat traits were identified, including four genes (CXXC5, RYR3, BNIP3, and MYCT1) related to skeletal muscle development, regulation of Ca2+ release in the muscle, and anaerobic respiration, which are promising candidates for selecting superior meat quality traits in Qingyu pigs. To our knowledge, this is the first study investigating the postmortem genetic architecture of pork pH and color in Qingyu pigs. Our findings further the current understanding of the genetic factors influencing meat quality.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available