Genome-wide association analysis reveals genetic loci and candidate genes for meat quality traits in Chinese Laiwu pigs

2015 ◽  
Vol 26 (3-4) ◽  
pp. 181-190 ◽  
Author(s):  
Xinwei Xiong ◽  
Xianxian Liu ◽  
Lisheng Zhou ◽  
Jie Yang ◽  
Bin Yang ◽  
...  
2016 ◽  
Vol 94 (suppl_4) ◽  
pp. 119-120 ◽  
Author(s):  
R. Gonzalez ◽  
P. G. Eusebi ◽  
R. Quintanilla ◽  
T. Figueiredo ◽  
A. Manunza ◽  
...  

Animals ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. 1068
Author(s):  
Xue Yang ◽  
Feilong Deng ◽  
Zhoulin Wu ◽  
Shi-Yi Chen ◽  
Yu Shi ◽  
...  

Growth, carcass characteristics and meat quality are the most important traits used in the rabbit industry. Identification of the candidate markers and genes significantly associated with these traits will be beneficial in rabbit breeding. In this study, we enrolled 465 rabbits, including 16 male Californian rabbits and 17 female Kangda5 line rabbits as the parental generation, along with their offspring (232 male and 200 female), in a genome-wide association study (GWAS) based on SLAF-seq technology. Bodyweight at 35, 42, 49, 56, 63 and 70 d was recorded for growth traits; and slaughter liveweight (84 d) and dressing out percentage were measured as carcass traits; and cooking loss and drip loss were measured as meat quality traits. A total of 5,223,720 SLAF markers were obtained by digesting the rabbit genome using RsaI + EcoRV-HF® restriction enzymes. After quality control, a subset of 317,503 annotated single-nucleotide polymorphisms (SNPs) was retained for subsequent analysis. A total of 28, 81 and 10 SNPs for growth, carcass and meat quality traits, respectively, were identified based on genome-wide significance (p < 3.16 × 10−7). Additionally, 16, 71 and 9 candidate genes were identified within 100 kb upstream or downstream of these SNPs. Further analysis is required to determine the biological roles of these candidate genes in determining rabbit growth, carcass traits and meat quality.


PLoS ONE ◽  
2017 ◽  
Vol 12 (8) ◽  
pp. e0183244 ◽  
Author(s):  
Rongrong Ding ◽  
Jianping Quan ◽  
Ming Yang ◽  
Xingwang Wang ◽  
Enqin Zheng ◽  
...  

2018 ◽  
Vol 96 (suppl_3) ◽  
pp. 84-84
Author(s):  
M Abo-Ismail ◽  
J Crowley ◽  
E Akanno ◽  
C Li ◽  
P Stothard ◽  
...  

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