Department of Chemical and Biological Engineering, Colorado State University, Fort Collins, CO, USA.
Department of Chemical Engineering, Texas Tech University, Lubbock, TX, USA.
Microb Ecol. 2018 Apr;75(3):701-719. doi: 10.1007/s00248-017-1072-1. Epub 2017 Oct 3.
Interactions among members of microbial consortia drive the complex dynamics in soil, gut, and biotechnology microbiomes. Proteomic analysis of defined co-cultures of well-characterized species provides valuable information about microbial interactions. We used a label-free approach to quantify the responses to co-culture of two model bacterial species relevant to soil and rhizosphere ecology, Bacillus atrophaeus and Pseudomonas putida. Experiments determined the ratio of species in co-culture that would result in the greatest number of high-confidence protein identifications for both species. The 281 and 256 proteins with significant shifts in abundance for B. atrophaeus and P. putida, respectively, indicated responses to co-culture in overall metabolism, cell motility, and response to antagonistic compounds. Proteins associated with a virulent phenotype during surface-associated growth were significantly more abundant for P. putida in co-culture. Co-culture on agar plates triggered a filamentous phenotype in P. putida and avoidance of P. putida by B. atrophaeus colonies, corroborating antagonistic interactions between these species. Additional experiments showing increased relative abundance of P. putida under conditions of iron or zinc limitation and increased relative abundance of B. atrophaeus under magnesium limitation were consistent with patterns of changes in abundance of metal-binding proteins during co-culture. These results provide details on the nature of interactions between two species with antagonistic capabilities. Significant challenges remaining for the development of proteomics as a tool in microbial ecology include accurate quantification of low-abundance peptides, especially from rare species present at low relative abundance in a consortium.
微生物群落成员之间的相互作用驱动着土壤、肠道和生物技术微生物组的复杂动态。对经过充分特征描述的物种的定义共培养物进行蛋白质组学分析,可以提供有关微生物相互作用的有价值信息。我们使用无标记方法来定量分析与土壤和根际生态学相关的两种模式细菌物种(萎缩芽孢杆菌和恶臭假单胞菌)的共培养反应。实验确定了共培养物中物种的比例,该比例将导致两种物种的高置信蛋白鉴定数量最多。萎缩芽孢杆菌和恶臭假单胞菌的丰度分别有 281 和 256 个蛋白发生显著变化,表明共培养物对整体代谢、细胞运动和对拮抗化合物的反应有响应。与表面相关生长过程中的毒力表型相关的蛋白质在共培养物中丰度显著更高。在琼脂平板上进行共培养会引发恶臭假单胞菌的丝状表型,而萎缩芽孢杆菌的菌落会避免恶臭假单胞菌,这证实了这两个物种之间存在拮抗相互作用。进一步的实验表明,在铁或锌限制条件下恶臭假单胞菌的相对丰度增加,在镁限制条件下萎缩芽孢杆菌的相对丰度增加,这与共培养过程中金属结合蛋白丰度变化的模式一致。这些结果提供了关于具有拮抗能力的两个物种之间相互作用性质的详细信息。蛋白质组学作为微生物生态学工具发展的仍然存在显著挑战,包括对低丰度肽的准确定量,尤其是在共培养物中相对丰度较低的稀有物种。