scholarly journals Integration of association and computational methods reveals functional variants of LEPR gene for abdominal fat content in chickens

2021 ◽  
Vol 20 (10) ◽  
pp. 2734-2748
Author(s):  
Yu-dong LI ◽  
Wei-jia WANG ◽  
Zi-wei LI ◽  
Ning WANG ◽  
Fan XIAO ◽  
...  
2016 ◽  
Vol 133 (5) ◽  
pp. 422-428 ◽  
Author(s):  
L. Leng ◽  
H. Zhang ◽  
J.Q. Dong ◽  
Z.P. Wang ◽  
X.Y. Zhang ◽  
...  

BMC Genomics ◽  
2014 ◽  
Vol 15 (1) ◽  
pp. 517 ◽  
Author(s):  
Hui Zhang ◽  
Zhi-Qiang Du ◽  
Jia-Qiang Dong ◽  
Hai-Xia Wang ◽  
Hong-Yan Shi ◽  
...  

2011 ◽  
pp. 37-40
Author(s):  
Zuzana Lieskovská ◽  
Anton Kováčik ◽  
Anna Trakovická

H-FABP, LEPR and MC5R genes were suggested as candidate genes for fat content in pig meat. The aim of this study was to detect genetic variation in the porcine H-FABP, LEPR and MC5R genes by PCR-RFLP method in a group of pigs. Genotyping of pigs was done by PCRRFLP methods. We identified three genotypes in the set of pigs, HH (0.504), Hh (0.412) and hh (0.084) for H-FABP (HinfI). Allele H showed higher frequency than allele h (0.710 vs. 0.290). Three genotypes were identified for the H-FABP (HaeIII) gene (DD - 0.194, Dd - 0.494, dd - 0.312). The allele D (0.441) showed slightly lower frequency than allele d (0.559). All three genotypes were identified for LEPR (HpaII) in the group of pigs (AA – 0.137, AB - 0.314, BB – 0.549). Higher frequency of LEPR gene was confirmed for allele B (0.706), as compared with allele A (0.294). We identified two genotypes for MC5R (BsaHI) in the group of pigs (AA - 0.348 and AG - 0.652), genotype GG was not found. As conforms with genotype structure, we recognize a higher frequency of allele A (0.674) as compared with allele G (0.326). 


1990 ◽  
Vol 61 (12) ◽  
pp. 1107-1112
Author(s):  
Kunioki HAYASHI ◽  
Shunichi KUKITA ◽  
Michiko MUKAI ◽  
Masaaki TOYOMIZU ◽  
Yuichiro TOMITA

2020 ◽  
Vol 112 (2) ◽  
pp. 354-363
Author(s):  
Ilka Ratjen ◽  
Jakub Morze ◽  
Janna Enderle ◽  
Marcus Both ◽  
Jan Borggrefe ◽  
...  

ABSTRACT Background Better adherence to plant-based diets has been linked to lower risk of metabolic diseases but the effect on abdominal fat distribution and liver fat content is unclear. Objectives We aimed to examine the association between different plant-based diet indices and measures of abdominal fat distribution and liver fat content. Methods In a population-based sample of 578 individuals from Northern Germany (57% male, median age 62 y), diet was assessed with a validated FFQ and an overall, a healthy, and an unhealthy plant-based diet index were derived. Participants underwent MRI to assess volumes of visceral and subcutaneous abdominal adipose tissue and liver signal intensity (LSI), a measure of liver fat content. Fatty liver disease (FLD) was defined as log LSI ≥3.0. Cross-sectional associations of the plant-based diet indices with visceral and subcutaneous abdominal fat volumes, LSI, and FLD were assessed in linear and logistic regression analyses. The most comprehensive model adjusted for age, sex, education, smoking, alcohol, physical activity, energy intake, diabetes, hyperlipidemia, and BMI. Results Higher overall and healthy plant-based diet indices both revealed statistically significant associations with lower visceral and subcutaneous abdominal adipose tissue volumes and with lower odds of FLD in multivariable-adjusted models without BMI. Upon additional adjustment for BMI, only the association of the healthy plant-based diet with visceral adipose tissue remained statistically significant (per 10-point higher healthy plant-based diet index, percentage change in visceral adipose tissue: −4.9%, 95% CI: −8.6%, −2.0%). None of the plant-based diet indices was associated with LSI. The unhealthy plant-based diet index was unrelated to any of the abdominal or liver fat parameters. Conclusions Adherence to healthy plant-based diets was associated with lower visceral adipose tissue. None of the other examined associations remained statistically significant after adjustment for BMI.


Animals ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 519 ◽  
Author(s):  
Joanna Kuźniacka ◽  
Marcin Hejdysz ◽  
Mirosław Banaszak ◽  
Jakub Biesek ◽  
Sebastian Kaczmarek ◽  
...  

The aim of the study was to analyze the quality of geese meat receiving feed with soybean meal (group 1), yellow lupin (group 2), narrow-leaved lupin (group 3), or white lupin (group 4). In total, 400 male White Kołuda® geese were randomly assigned to four groups, with 10 replicates and 10 birds each, during the 77-day rearing period. After the end of the rearing period, 10 birds from each group were slaughtered and dissected. Meat quality traits were measured. Based on the production results, it can be concluded that geese use fodder with yellow and white lupin to the same degree as in the case of the control group and higher body weight gain was recorded in the first rearing period. In contrast, the use of narrow-leaved lupin in mixtures for geese worsened the feed used. Meat traits were similar in all groups, including the content of muscles and fat in the carcass (p > 0.05), excluding abdominal fat. The weight of abdominal fat and its proportion in the carcass were higher (p < 0.05) in geese from group 4. A higher (p < 0.05) pH was found in group 1. The protein and intramuscular fat content in breast muscles was highest (p < 0.05) in geese from group 4, and a higher water content was found in group 1. The protein content in leg muscles was higher in group 3, and the fat content was higher in group 4 (p < 0.05). The color and water-holding capacity of meat were comparable in all groups (p > 0.05). The analysis revealed a positive effect of replacing soybean meal with alternative protein sources, especially yellow and white lupin, on the growth performance and quality of goose meat.


PLoS ONE ◽  
2013 ◽  
Vol 8 (12) ◽  
pp. e81520 ◽  
Author(s):  
Fangge Li ◽  
Guo Hu ◽  
Hui Zhang ◽  
Shouzhi Wang ◽  
Zhipeng Wang ◽  
...  

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