Extraction and identification of the chyme proteins in the digestive tract of growing pigs
Extraction and identification of the chyme proteins in the digestive tract of growing pigs作者机构:National Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry Production Key Laboratory of Agro-ecological Processes in Subtropical RegionInstitute of Subtropical AgricultureChinese Academy of SciencesChangsha 410125China Department of NutritionUniversity of California DavisDavis 95616USA
出 版 物:《Science China(Life Sciences)》 (中国科学(生命科学英文版))
年 卷 期:2018年第61卷第11期
页 面:1396-1406页
核心收录:
学科分类:0710[理学-生物学] 07[理学] 09[农学]
基 金:supported by the Natural Science Foundation of Hunan Province (2017JJ2307, 2016JJ4087) the National Natural Science Foundation of China (31402091, 31330075, 31372326, 31672433, 31560640) State Key Laboratory of Food Science and Technology, Nanchang University (SKLF-ZZB-201710) International Partnership Program of Chinese Academy of Sciences (161343KYSB20160008)
主 题:protein profiles degradation law proteomics digestive tract growing pigs
摘 要:This study aimed to explore the rule of degradation of dietary proteins by identifying chyme proteins in different segments of the digestive tract of growing pigs, using proteomics techniques. Six growing pigs were fed a corn-soybean meal-based diet for 7 days. The feedstuff and chyme proteins were separately extracted and separated with SDS-PAGE. 2 D LCMS/MS combined with protein database searching identified 1,513 proteins in different segments of the gastrointestinal tract, the number of identified exogenous proteins gradually decline from the stomach to colon, with large amounts in the duodenum to the large *** corn proteins than soybean proteins were identified both in the feedstuff and chyme, and these were significantly decreased after digestion in the stomach. More membrane proteins than non-membrane proteins were identified in whole digestive *** results regarding the profiles of chyme proteins in different segments of the gastrointestinal tract would provide useful information for optimizing feed formula in pigs.