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An interactomics overview of the human and bovine milk proteome over lactation.泌乳期人乳和牛乳蛋白质组的相互作用组学概述。
Proteome Sci. 2017 Jan 5;15:1. doi: 10.1186/s12953-016-0110-0. eCollection 2016.
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Bioactive Peptides in Milk and Dairy Products: A Review.牛奶及乳制品中的生物活性肽:综述
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Biosynthesis of milk fat, protein, and lactose: roles of transcriptional and posttranscriptional regulation.乳脂肪、蛋白质和乳糖的生物合成:转录和转录后调控的作用
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Characterization of the bovine milk proteome in early-lactation Holstein and Jersey breeds of dairy cows.初产荷斯坦奶牛和泽西奶牛泌乳早期牛乳蛋白质组的特征分析
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Effects of the processing methods of corn grain and soybean meal on milk protein expression profiles in dairy cows.玉米粒和豆粕加工方法对奶牛乳蛋白表达谱的影响。
Animal. 2015 Feb;9(2):267-74. doi: 10.1017/S1751731114002225. Epub 2014 Sep 17.
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Health-promoting properties of bioactive peptides derived from milk proteins in infant food: a review.源自乳蛋白的生物活性肽在婴儿食品中的健康促进特性:综述
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Anti-inflammatory mechanisms of bioactive milk proteins in the intestine of newborns.生物活性牛奶蛋白在新生儿肠道中的抗炎机制。
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日粮瘤胃降解蛋白与非降解蛋白的比例影响氮的分配,但不影响泌乳中期荷斯坦奶牛的牛乳蛋白质组。

Ratio of dietary rumen degradable protein to rumen undegradable protein affects nitrogen partitioning but does not affect the bovine milk proteome produced by mid-lactation Holstein dairy cows.

机构信息

Department of Animal and Veterinary Sciences, University of Vermont, Burlington, 05405.

Vermont Genetics Network Proteomics Facility, University of Vermont, Burlington, 05405.

出版信息

J Dairy Sci. 2017 Sep;100(9):7246-7261. doi: 10.3168/jds.2017-12647. Epub 2017 Jul 12.

DOI:10.3168/jds.2017-12647
PMID:28711247
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6350925/
Abstract

Little is known about the bovine milk proteome or whether it can be affected by diet. The objective of this study was to determine if the dietary rumen degradable protein (RDP):rumen undegradable protein (RUP) ratio could alter the bovine milk proteome. Six Holstein cows (parity: 2.5 ± 0.8) in mid lactation were blocked by days in milk (80 ± 43 d in milk) and milk yield (57.5 ± 6.0 kg) and randomly assigned to treatment groups. The experiment was conducted as a double-crossover design consisting of three 21-d periods. Within each period, treatment groups received diets with either (1) a high RDP:RUP ratio (RDP treatment: 62.4:37.6% of crude protein) or (2) a low RDP:RUP ratio (RUP treatment: 51.3:48.7% of crude protein). Both diets were isonitrogenous and isoenergetic (crude protein: 18.5%, net energy for lactation: 1.8 Mcal/kg of dry matter). To confirm N and energy status of cows, dry matter intake was determined daily, rumen fluid samples were collected for volatile fatty acid analysis, blood samples were collected for plasma glucose, β-hydroxybutyrate, urea nitrogen, and fatty acid analysis, and total 24-h urine and fecal samples were collected for N analysis. Milk samples were collected to determine the general milk composition and the protein profile. Milk samples collected for high-abundance protein analysis were subjected to HPLC analysis to determine the content of α-casein, β-casein, and κ-casein, as well as α-lactalbumin and β-lactoglobulin. Samples collected for low-abundance protein analysis were fractionated, enriched using ProteoMiner treatment, and separated using sodium dodecyl sulfate-PAGE. After excision and digestion, the peptides were analyzed using liquid chromatography (LC) tandem mass spectrometry (MS/MS). The LC-MS/MS data were analyzed using PROC GLIMMIX of SAS (version 9.4, SAS Institute Inc., Cary, NC) and adjusted using the MULTTEST procedure. All other parameters were analyzed using PROC MIXED of SAS. No treatment differences were observed in dry matter intake, milk yield, general milk composition, plasma parameters, or rumen volatile fatty acid concentrations, indicating no shift in total energy or protein available. Milk urea N and plasma urea N concentrations were higher in the RDP group, indicating some shift in N partitioning due to diet. A total of 595 milk proteins were identified, with 83% of these proteins known to be involved in cellular processes. Although none of the low-abundance proteins identified by LC-MS/MS were affected by diet, feeding a diet high in RUP decreased β-casein, κ-casein, and total milk casein concentration. Further investigations of the interactions between diet and the milk protein profile are needed to manipulate the milk proteome using diet.

摘要

人们对牛乳蛋白质组知之甚少,也不清楚其是否会受饮食影响。本研究旨在确定日粮可降解瘤胃蛋白(RDP)与不可降解瘤胃蛋白(RUP)的比例是否会改变牛乳蛋白质组。选择处于泌乳中期(泌乳天数 80 ± 43 天,产奶量 57.5 ± 6.0kg)的 6 头荷斯坦奶牛,根据泌乳天数和产奶量进行分组,采用完全随机设计分为 2 组,每组 3 头奶牛。试验采用双交叉设计,每个周期 21 天,分为高 RDP:RUP(62.4:37.6%粗蛋白)和低 RDP:RUP(51.3:48.7%粗蛋白)2 种日粮。2 种日粮的氮和能量水平相同(粗蛋白 18.5%,泌乳净能 1.8 Mcal/kg 干物质)。为了确定奶牛的氮和能量状况,每天测定干物质采食量,采集瘤胃液进行挥发性脂肪酸分析,采集血液进行血浆葡萄糖、β-羟丁酸、尿素氮和脂肪酸分析,收集 24h 尿液和粪便进行氮分析。采集牛乳样品,检测牛乳常规成分和蛋白质图谱。采集高丰度蛋白质分析用牛乳样品,经高效液相色谱(HPLC)分析,确定α-酪蛋白、β-酪蛋白、κ-酪蛋白、α-乳白蛋白和β-乳球蛋白的含量。采集低丰度蛋白质分析用牛乳样品,经 ProteoMiner 处理,进行分级、富集,再经十二烷基硫酸钠-聚丙烯酰胺凝胶电泳(SDS-PAGE)分离。胶块切胶、酶解后,用液相色谱-串联质谱(LC-MS/MS)进行分析。采用 SAS 软件(版本 9.4,SAS Institute Inc.,Cary,NC)的 PROC GLIMMIX 程序和 MULTTEST 过程进行 LC-MS/MS 数据分析,采用 SAS 软件的 PROC MIXED 程序进行其他参数分析。结果表明,2 种日粮处理组奶牛的干物质采食量、产奶量、牛乳常规成分、血浆参数和瘤胃液挥发性脂肪酸浓度均无差异,说明总能量或可利用蛋白无差异。RDP 组牛乳尿素氮和血浆尿素氮浓度较高,说明日粮改变了氮的分配。共鉴定出 595 种牛乳蛋白,其中 83%与细胞过程有关。虽然 LC-MS/MS 分析未鉴定出受日粮影响的低丰度蛋白,但高 RUP 日粮降低了β-酪蛋白、κ-酪蛋白和总牛乳酪蛋白浓度。需要进一步研究日粮与牛乳蛋白质组之间的相互作用,以便通过日粮来调控牛乳蛋白质组。