Goat mammary gland metabolism: An integrated Omics analysis to unravel seasonal weight loss tolerance

生物 组学 合成代谢 乳腺 脂质代谢 脂肪酸合成 分解代谢 生物技术 新陈代谢 脂肪酸 生物信息学 内分泌学 生物化学 遗传学 癌症 乳腺癌
作者
David Miguel Ribeiro,Mariana Palma,José Salvado,Lorenzo E. Hernández-Castellano,J. Capote,Noemí Castro,Anastasio Argüello Henríquez,Manólis Matzapetákis,Susana de Sousa Araújo,André Martinho de Almeida
出处
期刊:Journal of Proteomics [Elsevier BV]
卷期号:289: 105009-105009 被引量:5
标识
DOI:10.1016/j.jprot.2023.105009
摘要

Seasonal weight loss (SWL), is a major limitation to animal production. In the Canary Islands, there are two dairy goat breeds with different levels of tolerance to SWL: Majorera (tolerant) and Palmera (susceptible). Our team has studied the response of these breeds to SWL using different Omics tools. The objective of this study was to integrate such results in a data driven approach and using dedicated tools, namely the DIABLO method. The outputs of our analysis mainly separate unrestricted from restricted goats. Metabolites behave as “hub” molecules, grouping interactions with several genes and proteins. Unrestricted goats upregulated protein synthesis, along with arginine catabolism and adipogenesis pathways, which are related with higher anabolic rates and a larger proportion of secretory tissue, in agreement with their higher milk production. Contrarily, restricted goats seemingly increased the synthesis of acetyl-CoA through serine and acetate conversion into pyruvate. This may have occurred to increase fatty acid synthesis and/or to use them as an energy source in detriment to glucose, which was more available in the diet of unrestricted goats. Lastly, restricted Palmera upregulated the expression of PEBP4 and GPD1 genes compared to all other groups, which might support their use as putative biomarkers for SWL susceptibility. Seasonal weight loss (SWL) is a major issue influencing animal production in the tropics and Mediterranean. By studying its impact on the mammary gland of tolerant and susceptible dairy goat breeds, using Omics, we aim at surveying the tissue for possible biomarkers that reflect these traits. In this study, data integration of three Omics (transcriptomics, proteomics and metabolomics) was performed using bioinformatic tools, to relate putative biomarkers and evaluate all three levels of information; in a novel approach. This information can enhance selection programs, lowering the impact of SWL on food production systems.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
秦艽完成签到,获得积分0
刚刚
gyj1st完成签到,获得积分10
刚刚
灵剑山完成签到 ,获得积分10
1秒前
忆鸣完成签到,获得积分10
1秒前
guo7700发布了新的文献求助10
2秒前
孙嘉畯发布了新的文献求助10
2秒前
3秒前
3秒前
3秒前
3秒前
3秒前
4秒前
mq发布了新的文献求助10
4秒前
Orange的应助被xiang采纳,获得10
4秒前
4秒前
5秒前
6秒前
所所的应助被东起欧采纳,获得10
6秒前
PENGQIDU的应助被sss采纳,获得10
7秒前
Anlocia发布了新的文献求助10
7秒前
8秒前
8秒前
慕青的应助被zhao采纳,获得10
9秒前
10秒前
Estrella发布了新的文献求助10
11秒前
11秒前
suzy发布了新的文献求助10
11秒前
12秒前
13秒前
FashionBoy的应助被xiang采纳,获得10
14秒前
领导范儿的应助被rsy采纳,获得10
14秒前
醋醋完成签到,获得积分20
14秒前
DearSherry发布了新的文献求助30
15秒前
liusheng发布了新的文献求助10
16秒前
Maestro_S的应助被平常溪流采纳,获得30
16秒前
16秒前
xr发布了新的文献求助20
17秒前
123完成签到,获得积分10
19秒前
20秒前
BAEKHYUNLUCKY发布了新的文献求助10
20秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Encyclopedia of Modern Artificial Intelligence 1000
Особенности технологий и методов информационно-психологических войн СССР с Великобританией и США в период 1939-1953 гг 1000
Das Matthäusevangelium: Kapitel 1:1–17 1000
Analyses de reconnaissances de dettes passées devant les échevins d'Ypres (1249-1291) 600
拉伸高分子熔体中缠结行为的模拟和小角中子散射研究 600
Cellulose and Cellulose Derivatives: Synthesis, Modification and Applications 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8141413
求助须知:如何正确求助?哪些是违规求助? 9541274
关于积分的说明 21645122
捐赠科研通 7725429
什么是DOI,文献DOI怎么找? 3421324
关于科研通互助平台的介绍 2546516
邀请新用户注册赠送积分活动 2463521