微生物群
基因组
清脆的
流动遗传元素
细菌素
细菌
水平基因转移
生物技术
微生物
基因组
基因
生物
微生物学
计算生物学
遗传学
作者
Aaron M. Walsh,Guerrino Macori,Kieran N. Kilcawley,Paul D. Cotter
出处
期刊:Nature food
[Springer Nature]
日期:2020-08-13
卷期号:1 (8): 500-510
被引量:77
标识
DOI:10.1038/s43016-020-0129-3
摘要
A detailed understanding of the cheese microbiome is key to the optimization of flavour, appearance, quality and safety. Accordingly, we conducted a high-resolution meta-analysis of cheese microbiomes and corresponding volatilomes. Using 77 new samples from 55 artisanal cheeses from 27 Irish producers combined with 107 publicly available cheese metagenomes, we recovered 328 metagenome-assembled genomes, including 47 putative new species that could influence taste or colour through the secretion of volatiles or biosynthesis of pigments. Additionally, from a subset of samples, we found that differences in the abundances of strains corresponded with levels of volatiles. Genes encoding bacteriocins and other antimicrobials, such as pseudoalterin, were common, potentially contributing to the control of undesirable microorganisms. Although antibiotic-resistance genes were detected, evidence suggested they are not of major concern with respect to dissemination to other microbiomes. Phages, a potential cause of fermentation failure, were abundant and evidence for phage-mediated gene transfer was detected. The anti-phage defence mechanism CRISPR was widespread and analysis thereof, and of anti-CRISPR proteins, revealed a complex interaction between phages and bacteria. Overall, our results provide new and substantial technological and ecological insights into the cheese microbiome that can be applied to further improve cheese production.
科研通智能强力驱动
Strongly Powered by AbleSci AI