Microbial community interactions on a chip

蜡样芽孢杆菌 蜡样体 微生物种群生物学 根际 可扩展性 生化工程 生物 微生物 计算生物学 生物系统 生物技术 细菌 计算机科学 遗传学 工程类 数据库
作者
Duane S. Juang,Wren E. Wightman,Gabriel L. Lozano,Terry D. Juang,Layla J. Barkal,Jiaquan Yu,Manuel F. Garavito,Amanda Hurley,Ophelia S. Venturelli,Jo Handelsman,David J. Beebe
出处
期刊:Proceedings of the National Academy of Sciences of the United States of America [Proceedings of the National Academy of Sciences]
卷期号:121 (39)
标识
DOI:10.1073/pnas.2403510121
摘要

Multispecies microbial communities drive most ecosystems on Earth. Chemical and biological interactions within these communities can affect the survival of individual members and the entire community. However, the prohibitively high number of possible interactions within a microbial community has made the characterization of factors that influence community development challenging. Here, we report a Microbial Community Interaction (µCI) device to advance the systematic study of chemical and biological interactions within a microbial community. The µCI creates a combinatorial landscape made up of an array of triangular wells interconnected with circular wells, which each contains either a different chemical or microbial strain, generating chemical gradients and revealing biological interactions. Bacillus cereus UW85 containing green fluorescent protein provided the “target” readout in the triangular wells, and antibiotics or microorganisms in adjacent circular wells are designated the “variables.” The µCI device revealed that gentamicin and vancomycin are antagonistic to each other in inhibiting the target B. cereus UW85, displaying weaker inhibitory activity when used in combination than alone. We identified three-member communities constructed with isolates from the plant rhizosphere that increased or decreased the growth of B. cereus . The µCI device enables both strain-level and community-level insight. The scalable geometric design of the µCI device enables experiments with high combinatorial efficiency, thereby providing a simple, scalable platform for systematic interrogation of three-factor interactions that influence microorganisms in solitary or community life.
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