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作 者:陈南[1] 朱璟[1] 叶梅霞[1,2] 金一[1] 何晓青[1] 邬荣领[1,2]
机构地区:[1]北京林业大学生物科学与技术学院,北京100083 [2]北京林业大学计算生物学中心,北京100083
出 处:《微生物学报》2017年第4期526-538,共13页Acta Microbiologica Sinica
基 金:国家自然科学基金青年科学基金(51108029);中央高校基本科研业务费专项(TD2012-03);水利部公益性行业科研专项(201201032)~~
摘 要:【目的】通过实验室培养模拟自然环境微生物相互作用,进而找到影响细菌基因型和表型的基因。【方法】将大肠杆菌和金黄色葡萄球菌在实验室条件下进行单独培养和两两混合培养并连续转接,通过得到的数量表型与最大生长速率表型做全基因组关联分析(GWAS),对得到的与表型相关的SNP进行注释与分析。【结果】162个SNP位点影响到大肠杆菌原始菌株与共培养菌株的生长,36个SNP位点影响大肠杆菌菌株在单独培养和共同培养的生长。总共有85个SNP位点影响金黄色葡萄球菌的原始菌株与单独培养。其中5个基因在之前文献中已有报道。对影响不同时间点细菌数量变化形状的SNP位点进行功能注释,大肠杆菌中有706个与生长性能相关。金黄色葡萄球菌中,129个和不同的生长性能相关。大肠杆菌SNP位点的13个基因在之前的研究中已有报道。【结论】混合培养和单独培养都检测到与生长相关的显著基因,本研究表明了GWAS在研究细菌互作进化机制方面的潜力。[Objective] We studied the interactions in a co-culture of two bacteria. [Methods] By pairwise co-culturing of 36 Escherichia coli and 36 Staphylococcus aureus strains, we monitored the growth of each species in an interaction environment. We identified numerous Single Nucleotide Polymorphisms(SNPs) by whole-genome sequencing used as genetic markers to predict variations in phenotypic traits. Genome-wide association study(GWAS) was applied to identify loci that controlled competition between the two species. [Results] In E. coli, 162 significant SNPs affected the change of maximum growth rate by comparing initials strains with those grown in co-culture, and 36 significant SNPs affected the change of maximum growth rate comparing monoculture and co-culture strains. Five of the significant E. coli genes we identified after annotation this time were also reported in other evolutionary studies. We also identified 85 significant SNPs in S. aureus that affected the change of maximum growth rate by comparing initial strains with those grown in monoculture. About the change of bacterial numbers, we found that 706 significant SNPs were associated in E. coli and 129 in S. aureus. Thirteen of the E. coli significant genes in this study were also verified in previous evolutionary reports. [Conclusion] We found several significant genes both in monoculture and co-culture affecting the interaction of E. coli and S. aureus. GWAS has the potential to study interspecific interactions of bacteria.
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