食品与发酵工业2024，Vol.50Issue(24)：304-312,330,10.DOI:10.13995/j.cnki.11-1802/ts.038844
一种基于培养技术的豆瓣酱合成微生物群落结构检测方法的建立及应用
Development and application of a culture-dependent method for quantifying composition of a synthetic broad bean paste microbial community
摘要
Abstract
This study aimed to screen for selective antibiotic combinations through antimicrobial susceptibility tests,establishing se-lective media that can quantify the absolute abundance of any strain in a synthetic broad bean paste microbial community.The antimicrobial activity of 42 antibiotics against Staphylococcus carnosus,Bacillus subtilis,Bacillus amyloliquefaciens,Tetragenococcus halophilus,and Weissella confusa was analyzed using microdilution method,and antibiotics that could effectively distinguish these specific bacteria through cultivation were screened.Selective media were designed by combining ampicillin sodium,nafcillin sodium,chlortetracycline hydrochlo-ride,oxolinic acid,lincomycin,and antifungal nystatin.The CFU number of the target strain on selective plates inoculated with the target strain and mixed microbial suspension did not show a significant difference(P＞0.05).These selective media could accurately quantify the absolute abundance of any strain in the synthetic microbial community composed of Zygosaccharomyces rouxii,Staphylococcus carno-sus,Bacillus subtilis,Bacillus amyloliquefaciens,Tetragenococcus halophilus,and Weissella confusa.By applying this method,the compo-sition of a synthetic broad bean paste microbial community and the interactions between community members were successfully analyzed.This study provides a simple,accurate and low-cost solution for the development of methods for quantifying the composition of synthetic microbial communities with fewer members.关键词
豆瓣酱/合成微生物群落/抗生素/抑菌率/微生物群落结构检测方法Key words
broad bean paste/synthetic microbial community/antibiotics/antibacterial rate/microbial community composition detection methods引用本文复制引用
易峰,刘春凤,李宛格,钮成拓,李崎,郑飞云,王金晶..一种基于培养技术的豆瓣酱合成微生物群落结构检测方法的建立及应用[J].食品与发酵工业,2024,50(24):304-312,330,10.基金项目
国家自然科学基金项目(32272282) （32272282）
