The leptin arg25cys affects performance, carcass traits and serum leptin concentrations in beef cattle

2007 ◽  
Vol 87 (2) ◽  
pp. 153-156 ◽  
Author(s):  
F. C. Buchanan ◽  
A. G. Van Kessel ◽  
Y. R. Boisclair ◽  
H. C. Block ◽  
J. J. McKinnon

A single nucleotide polymorphism (SNP) in the bovine leptin gene has been associated with carcass traits and elevated gene expression. To examine the relationship between leptin genotype with serum leptin concentration and carcass traits, blood samples were collected 24 h prior to slaughter in 89 head of cattle. Cattle were predominantly of Angus (n = 26), Hereford (n = 31) and Charolais (n = 32) breed types with approximately half homozygous for the T allele or the C allele. Cattle were limit fed to achieve 1 kg d-1 liveweight gain for a 70-d background period while during finishing, animals were fed ad libitum such that half the animals within each breed type were slaughtered at 8 or 12 mm back fat determined by ultrasound. Preslaughter serum leptin and insulin were determined using radioimmunoassays (RIA) specific for cattle and sheep. Animals homozygous for the T allele had greater (P < 0.05) backfat depth at the beginning (2.4 ± 0.49 vs. 1.8 ± 0.49 mm) and end (3.1 ± 0.42 vs. 2.4 ± 0.42 mm) of the backgrounding period and reached target finishing back fat depths at lighter (P < 0.01) weights (548.2 ± 20 vs. 588.0 ± 20 kg) and in fewer (P < 0.05) total days on feed (179.3 ± 13 vs. 195.2 ± 13 d) than homozygous C animals. Leptin genotype effects on serum leptin concentration were confined to a three-way interaction such that TT Charolais fattened to 12 mm had significantly higher serum leptin levels than CC animals. Leptin concentration was correlated positively with measurements of fat (e.g., average ultrasound fat depth at end of test r = 0.45, P < 0.01). Results are consistent with an increased rate of fat deposition associated with the T allele in leptin. Key words: Beef cattle, leptin, carcass, yield

2021 ◽  
Vol 147 (4) ◽  
pp. 1007-1017
Author(s):  
Branka Powter ◽  
Sarah A. Jeffreys ◽  
Heena Sareen ◽  
Adam Cooper ◽  
Daniel Brungs ◽  
...  

AbstractThe TERT promoter (pTERT) mutations, C228T and C250T, play a significant role in malignant transformation by telomerase activation, oncogenesis and immortalisation of cells. C228T and C250T are emerging as important biomarkers in many cancers including glioblastoma multiforme (GBM), where the prevalence of these mutations is as high as 80%. Additionally, the rs2853669 single nucleotide polymorphism (SNP) may cooperate with these pTERT mutations in modulating progression and overall survival in GBM. Using liquid biopsies, pTERT mutations, C228T and C250T, and other clinically relevant biomarkers can be easily detected with high precision and sensitivity, facilitating longitudinal analysis throughout therapy and aid in cancer patient management.In this review, we explore the potential for pTERT mutation analysis, via liquid biopsy, for its potential use in personalised cancer therapy. We evaluate the relationship between pTERT mutations and other biomarkers as well as their potential clinical utility in early detection, prognostication, monitoring of cancer progress, with the main focus being on brain cancer.


Genes ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 266
Author(s):  
Hossein Mehrban ◽  
Masoumeh Naserkheil ◽  
Deuk Hwan Lee ◽  
Chungil Cho ◽  
Taejeong Choi ◽  
...  

The weighted single-step genomic best linear unbiased prediction (GBLUP) method has been proposed to exploit information from genotyped and non-genotyped relatives, allowing the use of weights for single-nucleotide polymorphism in the construction of the genomic relationship matrix. The purpose of this study was to investigate the accuracy of genetic prediction using the following single-trait best linear unbiased prediction methods in Hanwoo beef cattle: pedigree-based (PBLUP), un-weighted (ssGBLUP), and weighted (WssGBLUP) single-step genomic methods. We also assessed the impact of alternative single and window weighting methods according to their effects on the traits of interest. The data was comprised of 15,796 phenotypic records for yearling weight (YW) and 5622 records for carcass traits (backfat thickness: BFT, carcass weight: CW, eye muscle area: EMA, and marbling score: MS). Also, the genotypic data included 6616 animals for YW and 5134 for carcass traits on the 43,950 single-nucleotide polymorphisms. The ssGBLUP showed significant improvement in genomic prediction accuracy for carcass traits (71%) and yearling weight (99%) compared to the pedigree-based method. The window weighting procedures performed better than single SNP weighting for CW (11%), EMA (11%), MS (3%), and YW (6%), whereas no gain in accuracy was observed for BFT. Besides, the improvement in accuracy between window WssGBLUP and the un-weighted method was low for BFT and MS, while for CW, EMA, and YW resulted in a gain of 22%, 15%, and 20%, respectively, which indicates the presence of relevant quantitative trait loci for these traits. These findings indicate that WssGBLUP is an appropriate method for traits with a large quantitative trait loci effect.


2005 ◽  
Vol 83 (4) ◽  
pp. 927-932 ◽  
Author(s):  
P. J. Kononoff ◽  
H. M. Deobald ◽  
E. L. Stewart ◽  
A. D. Laycock ◽  
F. L. S. Marquess

Author(s):  
Min Mu ◽  
Li Jing ◽  
Yuan-Jie Zou ◽  
Xing-Rong Tao ◽  
Fei Wang ◽  
...  

Background: As an infectious disease closely related to Mycobacterium tuberculosis, autoimmunity, inflammation, environment and heredity, the relationship between the single nucleotide polymorphism of elongase 2 gene and the susceptibility to tuberculosis is still unknown. Methods: Between January 2016 and November 2018, a hospital-based case-control study was conducted. This epidemiological survey was conducted in both hospitals every three months. rs3798719, rs1570069, and rs2236212 in ELOVL2 gene were detected by Sanger sequencing. Results: Stratified by gender, the genotypes and allele frequencies of rs3798719, rs1570069 and rs2236212 showed significant differences between the two groups (χ2 = 6.987, P = 0.030), Genetic modeling showed that rs3798719 was statistically different in the overdominance model (χ2 = 4.784, OR = 1.414, 95% CI: 1.036-1.929, P < 0.05). The polymorphism of rs2236212 between male TB patients and healthy controls was statistically different in the dominance model. (χ2 = 4.192, OR = 0.507; 95% CI: 0.262-0.981, P < 0.05). Conclusion: The rs3798719 of ELOVL2 gene may be associated with susceptibility to TB in female population and the rs2236212 of ELOVL2 gene may be associated with TB incidence in male patients.


2011 ◽  
Vol 10 (19) ◽  
pp. 2603-2606 ◽  
Author(s):  
Takahisa Yamada ◽  
Seiki Sasaki ◽  
Shin Sukegawa ◽  
Youichi Takahagi ◽  
Mitsuo Morita ◽  
...  

2014 ◽  
Vol 45 (4) ◽  
pp. 611-612 ◽  
Author(s):  
Bin Tong ◽  
Seiki Sasaki ◽  
Youji Muramatsu ◽  
Takeshi Ohta ◽  
Hiroyuki Kose ◽  
...  

2020 ◽  
Vol 100 (3) ◽  
pp. 455-461
Author(s):  
Yifan Liu ◽  
Yunjie Tu ◽  
Ming Zhang ◽  
Jianmin Zou ◽  
Gaige Ji ◽  
...  

The comb is an important secondary sexual characteristic and comb growth traits, such as size and color of the comb, are widely used as indicators in chicken breeding programs. However, the genetic basis for these traits remains mostly unknown. It was found that the chondroadherin-like (CHADL) gene was up-regulated in large combs and was located in reported comb growth quantitative trait loci. In this study, tissue-specific expressions, expression patterns in combs of different ages, and CHADL polymorphisms were analyzed to investigate the relationship between this gene and comb growth traits of Partridge Shank roosters. The results showed that CHADL was more highly expressed in combs than in 10 other tissues, and its expressions in combs tended to gradually increase from the 5-wk-old mark to the 26-wk-old mark. The single-nucleotide polymorphism rs316423539 in the CHADL gene was significantly associated with the comb area and height, whereas rs14822286 was highly correlated with the comb color. Moreover, H1H5, H1H6, and H3H6 were the most advantageous genotype combinations for comb growth traits. Our results might help understand the molecular mechanism of comb growth traits and improve these traits directly by marker assistant selections.


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