The effect of a leptin single nucleotide polymorphism on quality grade, yield grade, and carcass weight of beef cattle

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
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 ◽  
...  

2016 ◽  
Vol 15 (2) ◽  
Author(s):  
P.S.N. de Oliveira ◽  
P.C. Tizioto ◽  
W. Malago Jr ◽  
M.L. do Nascimento ◽  
A.S.M. Cesar ◽  
...  

2009 ◽  
Vol 80 (6) ◽  
pp. 631-635 ◽  
Author(s):  
Takahisa YAMADA ◽  
Seiki SASAKI ◽  
Shin SUKEGAWA ◽  
Takeshi MIYAKE ◽  
Tatsuo FUJITA ◽  
...  

2009 ◽  
Vol 2 (1) ◽  
pp. 131 ◽  
Author(s):  
Seiki Sasaki ◽  
Takahisa Yamada ◽  
Shin Sukegawa ◽  
Takeshi Miyake ◽  
Tatsuo Fujita ◽  
...  

2013 ◽  
Vol 03 (02) ◽  
pp. 89-92
Author(s):  
Hideki Tanomura ◽  
Youji Muramatsu ◽  
Takuji Yamamoto ◽  
Takeshi Ohta ◽  
Hiroyuki Kose ◽  
...  

2017 ◽  
Vol 57 (8) ◽  
pp. 1631 ◽  
Author(s):  
Shinichiro Ogawa ◽  
Hirokazu Matsuda ◽  
Yukio Taniguchi ◽  
Toshio Watanabe ◽  
Yuki Kitamura ◽  
...  

Genomic prediction (GP) of breeding values using single nucleotide polymorphism (SNP) markers can be conducted even when pedigree information is unavailable, providing phenotypes are known and marker data are provided. While use of high-density SNP markers is desirable for accurate GP, lower-density SNPs can perform well in some situations. In the present study, GP was performed for carcass weight and marbling score in Japanese Black cattle using SNP markers of varying densities. The 1791 fattened steers with phenotypic data and 189 having predicted breeding values provided by the official genetic evaluation using pedigree data were treated as the training and validation populations respectively. Genotype data on 565837 autosomal SNPs were available and SNPs were selected to provide different equally spaced SNP subsets of lower densities. Genomic estimated breeding values (GEBVs) were obtained using genomic best linear unbiased prediction incorporating one of two types of genomic relationship matrices (G matrices). The GP accuracy assessed as the correlation between the GEBVs and the corrected records divided by the square root of estimated heritability was around 0.85 for carcass weight and 0.60 for marbling score when using 565837 SNPs. The type of G matrix used gave no substantial difference in the results at a given SNP density for traits examined. Around 80% of the GP accuracy was retained when the SNP density was decreased to 1/1000 of that of all available SNPs. These results indicate that even when a SNP panel of a lower density is used, GP may be beneficial to the pre-selection for the carcass traits in Japanese Black young breeding animals.


2014 ◽  
Vol 92 (8) ◽  
pp. 3258-3269 ◽  
Author(s):  
M. Gunia ◽  
R. Saintilan ◽  
E. Venot ◽  
C. Hozé ◽  
M. N. Fouilloux ◽  
...  

2020 ◽  
Vol 86 (20) ◽  
Author(s):  
Heather M. Blankenship ◽  
Samantha Carbonell ◽  
Rebekah E. Mosci ◽  
Karen McWilliams ◽  
Karen Pietrzen ◽  
...  

ABSTRACT Shiga toxin-producing Escherichia coli (STEC) is a leading cause of foodborne infections. Cattle are an important STEC reservoir, although little is known about specific pathogen traits that impact persistence in the farm environment. Hence, we sought to evaluate STEC isolates recovered from beef cattle in a single herd in Michigan. To do this, we collected fecal grabs from 26 cattle and resampled 13 of these animals at 3 additional visits over a 3-month period. In all, 66 STEC isolates were recovered for genomics and biofilm quantification using crystal violet assays. The STEC population was diverse, representing seven serotypes, including O157:H7, O26:H11, and O103:H2, which are commonly associated with human infections. Although a core genome analysis of 2,933 genes grouped isolates into clusters based on serogroups, some isolates within each cluster had variable biofilm levels and virulence gene profiles. Most (77.8%; n = 49) isolates harbored stx2a, while 38 (57.5%) isolates formed strong biofilms. Isolates belonging to the predominant serogroup O6 (n = 36; 54.5%) were more likely to form strong biofilms, persistently colonize multiple cattle, and be acquired over time. A high-quality single nucleotide polymorphism (SNP) analysis of 33 O6 isolates detected between 0 and 13 single nucleotide polymorphism (SNP) differences between strains, indicating that highly similar strain types were persisting in this herd. Similar findings were observed for other persistent serogroups, although key genes were found to differ among strong and weak biofilm producers. Together, these data highlight the diversity and persistent nature of some STEC types in this important food animal reservoir. IMPORTANCE Food animal reservoirs contribute to Shiga toxin-producing Escherichia coli (STEC) evolution via the acquisition of horizontally acquired elements like Shiga toxin bacteriophages that enhance pathogenicity. In cattle, persistent fecal shedding of STEC contributes to contamination of beef and dairy products and to crops being exposed to contaminated water systems. Hence, identifying factors important for STEC persistence is critical. This longitudinal study enhances our understanding of the genetic diversity of STEC types circulating in a cattle herd and identifies genotypic and phenotypic traits associated with persistence. Key findings demonstrate that multiple STEC types readily persist in and are transmitted across cattle in a shared environment. These dynamics also enhance the persistence of virulence genes that can be transferred between bacterial hosts, resulting in the emergence of novel STEC strain types. Understanding how pathogens persist and diversify in reservoirs is important for guiding new preharvest prevention strategies aimed at reducing foodborne transmission to humans.


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