Multi-omics research reveals the genetic characteristics and acid resistance mechanism of Lactobacillus delbrueckii subsp. lactis DB-8 screening from Xizang fermented dairy

被引:0
|
作者
Tan, Yali [1 ,2 ]
Qin, Sidong [5 ]
Sun, Luoxi [5 ]
Wang, Zhixuan [5 ]
Li, Xiao [5 ]
Liu, Lingyan [5 ]
Zhu, Hanjian [5 ]
Wang, Qingyu [5 ]
Cai, Yanjun [5 ]
Gao, Mengxiang [3 ,4 ]
机构
[1] Yangtze Univ, Coll Agr, Jingzhou 434025, Hubei, Peoples R China
[2] Natl Key Lab Agr Microbiol, Yichang 443000, Hubei, Peoples R China
[3] Yangtze Univ, Coll Life Sci, 266 Jingmi Rd, Jingzhou 434025, Hubei, Peoples R China
[4] Yangtze Univ, Inst Food Sci & Technol, Jingzhou 434025, Hubei, Peoples R China
[5] Xizang Angel Biotechnol Co, Shannan 856000, Xizang, Peoples R China
关键词
Multi-omics research; Acid production and resistance mechanisms; Species identification; Support vector machine; ADENYLATE KINASE; BULGARICUS; BACTERIA; SEQUENCE; AROMA; MILK;
D O I
10.1016/j.fbio.2025.105987
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
The target strain DB-8 in this study was isolated from naturally fermented yogurt residues in a herder's house in Dangxiong County, Xizang. Multi-omics and genetic evolutionary analysis has been multidimensionally validated the species attribute of DB-8, revealing traits in its metabolic properties and genetic evolution in high-altitude environments. In accordance with the data obtained from the whole genome sequence and genetic evolution of DB-8, the bacterium is confirmed to be Lactobacillus delbrueckii subsp. lactis. The results of genome functional annotation demonstrated that DB-8 possesses a multitude of distinctive genes pertaining to cell wall, membrane, envelope biosynthesis, carbohydrate metabolism, and energy metabolism. Comparative genomics analysis revealed that DB-8 has 122 specific genes that support its energy metabolism, cellular repair, and biofilm systems. It is also anticipated that these genes will have exceptionally strong acid resistance. Targeted metabolic studies confirm that DB-8 produces significantly more propionic acid and isobutyric acid than other reference strains. Furthermore, based on the results of the untargeted metabolomics study, 44 different metabolites were screened to create support vector machine models based on t-test-based feature screening, with an accuracy of 0.92 for the model validation set and a prediction accuracy of 100%, which marks the first successful application of machine learning to predict subspecies characterization of Lactobacillus delbrueckii. This study offers novel ideas for the precise identification between Lactobacillus delbrueckii subsp. bulgaricus and subsp. lactis, while enhancing the understanding of the fermentation characteristics of DB-8, thereby offering a scientific basis for its in-depth application in the dairy industry.
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页数:16
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