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Characteristics of psychrophilic bacterial communities and associated metabolism pathways in different environments by a metagenomic analysis

文献类型： 外文期刊

作者： Xu, Wen-Jun 1 ; Meng, Lu 1 ; Zhao, Yan-Kun 1 ; Wu, Jie 1 ; Liu, Hui-Min 1 ; Wang, Jia-Qi 1 ; Zheng, Nan 1 ;

作者机构： 1.Chinese Acad Agr Sci, Lab Qual & Safety Risk Assessment Dairy Prod, Minist Agr & Rural Affairs, Inst Anim Sci, Beijing 100193, Peoples R China

2.Chinese Acad Agr Sci, Inst Anim Sci, Key Lab Qual & Safety Control Milk & Dairy Prod, Minist Agr & Rural Affairs, Beijing 100193, Peoples R China

3.Qingdao Agr Univ, Coll Food Sci & Engn, Qingdao 266109, Peoples R China

4.Xinjiang Acad Agr Sci, Inst Qual Stand & Testing Technol Agroprod, Urumqi 830091, Peoples R China

关键词： Raw milk; Psychrophilic bacteria; Metagenomic sequencing; Season; Region

期刊名称：SCIENCE OF THE TOTAL ENVIRONMENT （ 影响因子：8.0； 五年影响因子：8.7 ）

ISSN： 0048-9697

年卷期： 2024 年 953 卷

页码：

收录情况： SCI

摘要： Psychrophilic bacteria, the dominant spoilage organisms in raw milk, secrete heat-stable extracellular proteases and lipases that lead to the decomposition of milk and dairy products. In this study, we investigated psychrophilic bacteria in 165 raw milk samples collected across four seasons and six regions in China using shotgun metagenomic sequencing and traditional culture methods. The isolated psychrophilic bacteria were classified into 40 genera and 185 species. Pseudomonas was the most prevalent, accounting for 51.13 % of the genera, while Lactococcus and Chryseobacterium were also notably abundant (> 6.0 %). Metagenomic sequencing revealed that Pseudomonas (47.9 %), Stenotrophomonas (9.75 %), Sphingomonas (6.73 %), Latilactobacillus (6.38 %) and Lactococcus (5.16 %) were the dominant genera in the raw milk samples. The diversity of psychrophilic bacteria in raw milk was strongly influenced by seasonal variations, with the sampling region being a less significant factor. KEGG annotation indicated that carbohydrate and amino acid metabolism were the primary metabolic pathways in these bacteria. Metagenomic sequencing not only accurately identifies species but also provides functional insights into psychrophilic bacteria in raw milk, aiding in understanding their activities, promoting their control on farms, and ultimately improving raw milk quality.

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