scholarly journals Fermented cottonseed meal improves production performance and reduces fat deposition in broilers chicken

Author(s):  
Jun Li Niu ◽  
Lian Qing Wei ◽  
Yuan Qing Luo ◽  
Wen Ting Yang ◽  
Qi Cheng Lu ◽  
...  
2020 ◽  
Vol 77 (10) ◽  
pp. 2751-2757
Author(s):  
Yongqiang Wang ◽  
Hongbing Xie ◽  
Dongyang Liu ◽  
Yimin Wang ◽  
Changzhong Liu ◽  
...  

2013 ◽  
Vol 92 (2) ◽  
pp. 392-401 ◽  
Author(s):  
H. Sun ◽  
J.W. Tang ◽  
C.L. Fang ◽  
X.H. Yao ◽  
Y.F. Wu ◽  
...  

2016 ◽  
Vol 94 (suppl_5) ◽  
pp. 457-457
Author(s):  
J. L. Xiong ◽  
L. Y. Wu ◽  
H. L. Zhou ◽  
Z. J. Wang ◽  
F. T. Meng ◽  
...  

2020 ◽  
Author(s):  
Lijian Wang ◽  
Li Leng ◽  
Ran Ding ◽  
Pengfei Gong ◽  
Chang Liu ◽  
...  

Abstract Background: Genetic selection for meat production performance of broilers concomitantly causes excessive abdominal fat deposition, accompanied by several adverse effects, such as the reduction of feed conversion efficiency and reproduction performance. Our previous studies have identified important genes regulating chicken fat deposition, using the Northeast Agricultural University broiler lines divergently selected for abdominal fat content (NEAUHLF) as an animal model. However, the molecular mechanism underlying fat deposition differences between fat and lean broilers remains largely unknown. Results: Here, we integrated the transcriptome (RNA-Seq) and quantitative proteome (isobaric tags for relative and absolute quantitation, iTRAQ) profiling analyses on abdominal fat tissues from NEAUHLF chicken lines. Differentially expressed genes (2167 DEGs, FDR < 0.01) and proteins (199 DEPs, FDR < 0.05) were identified in lean line compare to fat line, and down-regulated DEGs and DEPs mainly enriched in pathways related to fatty acid metabolism, fatty acid biosynthesis, and PPAR signaling; and numerous up-regulated DEGs and DEPs both enriched in lysosome pathway. Moreover, several key DEGs and DEPs involved in long-chain fatty acid uptake, in situ lipogenesis (fatty acid and cholesterol synthesis), and lipid droplets accumulation were discovered after integrated transcriptome and proteome analysis. Conclusions: Together, our findings provided a novel insight into abdominal fat content discrepancy between the fat and lean chicken lines.


2020 ◽  
Vol 21 (8) ◽  
pp. 812-820
Author(s):  
Cunxi Nie ◽  
Yongqiang Wang ◽  
Yanfeng Liu ◽  
Jiancheng Liu ◽  
Wenxia Ge ◽  
...  

Dietary protein from fermented cottonseed meal (FCSM), widely used in poultry diets in China, had regulating effects on lipid metabolism. To understand the effects of FCSM on lipid metabolism in broilers, we analyzed the biochemical indexes, enzyme activity, hormone level and metabolites in serum responses to FCSM intake. One hundred and eighty 21-d-old Chinese yellow feathered broilers (536.07±4.43 g) were randomly divided into 3 groups with 6 replicates and 3 diets with 6 % supplementation of unfermented CSM (control group), FCSM by C. Tropicalis (Ct CSM) or C. tropicalis plus S. Cerevisae (Ct-Sc CSM). Result showed that: (1) FCSM intake decreased significantly the content of triglyceride (TAG), total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C) (P<0.05) in serum; (2) FCSM intake could significantly increase enzyme activity of acetyl CoA carboxylase (ACC), lipoprotein lipase (LPL), fatty acid synthase (FAS) and hormone sensitive lipase (HSL) (P<0.05); (3) Ct-Sc CSM intake increased significantly the levels of adiponectin (ADP) (P<0.05); (4) FCSM intake caused significant metabolic changes involving glycolysis, TCA cycle, synthesis of fatty acid and glycogen, and metabolism of glycerolipid, vitamins B group and amino acids. Our results strongly suggested that FCSM intake could significantly affect lipid metabolism via multiple pathways. These findings provided new essential information about the effect of FCSM on broilers and demonstrated the great potential of nutrimetabolomics, through which the research complex nutrients are included in animal diet.


2018 ◽  
Vol 27 (6) ◽  
pp. 1791-1799 ◽  
Author(s):  
Jiancheng Liu ◽  
Hong Sun ◽  
Cunxi Nie ◽  
Wenxia Ge ◽  
Yongqiang Wang ◽  
...  

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