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整合 PTR-ToF-MS、全基因组关联分析和生物途径分析揭示了奶牛基因组对奶酪挥发物组的贡献。

Integrated PTR-ToF-MS, GWAS and biological pathway analyses reveal the contribution of cow's genome to cheese volatilome.

机构信息

Department of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), University of Padua, Viale dell'Università 16, 35020, Legnaro, Padua, Italy.

Department of Food Quality and Nutrition, Research and Innovation Centre, Fondazione Edmund Mach (FEM), Via E. Mach 1, 38010, San Michele all'Adige, TN, Italy.

出版信息

Sci Rep. 2018 Nov 19;8(1):17002. doi: 10.1038/s41598-018-35323-5.

Abstract

Volatile organic compounds (VOCs) are small molecules that contribute to the distinctive flavour of cheese which is an important attribute for consumer acceptability. To investigate whether cow's genetic background might contribute to cheese volatilome, we carried out genome-wide association studies (GWAS) and pathway-based analyses for 173 spectrometric peaks tentatively associated with several VOCs obtained from proton-transfer-reaction mass spectrometry (PTR-ToF-MS) analyses of 1,075 model cheeses produced using raw whole-milk from Brown Swiss cows. Overall, we detected 186 SNPs associated with 120 traits, several of which mapped close to genes involved in protein (e.g. CSN3, GNRHR and FAM169A), fat (e.g. AGPAT3, SCD5, and GPAM) and carbohydrate (e.g. B3GNT2, B4GALT1, and PHKB) metabolism. Gene set enrichment analysis showed that pathways connected with proteolysis/amino acid metabolism (purine and nitrogen metabolism) as well as fat metabolism (long-term potentiation) and mammary gland function (tight junction) were overrepresented. Our results provide the first evidence of a putative link between cow's genes and cheese flavour and offer new insights into the role of potential candidate loci and the biological functions contributing to the cheese volatilome.

摘要

挥发性有机化合物(VOCs)是小分子,它们对奶酪的独特风味有贡献,而风味是消费者接受度的一个重要属性。为了研究奶牛的遗传背景是否可能影响奶酪的挥发性成分,我们对从使用褐牛生全乳生产的 1075 个模型奶酪的质子转移反应质谱(PTR-ToF-MS)分析中获得的与几种 VOC 相关的 173 个光谱峰进行了全基因组关联研究(GWAS)和基于途径的分析。总的来说,我们检测到了 186 个与 120 个性状相关的 SNP,其中几个 SNP 靠近参与蛋白质(如 CSN3、GNRHR 和 FAM169A)、脂肪(如 AGPAT3、SCD5 和 GPAM)和碳水化合物(如 B3GNT2、B4GALT1 和 PHKB)代谢的基因。基因集富集分析表明,与蛋白水解/氨基酸代谢(嘌呤和氮代谢)以及脂肪代谢(长时程增强)和乳腺功能(紧密连接)相关的途径被过度代表。我们的研究结果首次提供了牛的基因与奶酪风味之间可能存在联系的证据,并为潜在候选基因座和对奶酪挥发性成分有贡献的生物学功能的作用提供了新的见解。

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