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From molecules to multispecies ecosystems: the roles of structure in bacterial biofilms

期刊

PHYSICAL BIOLOGY
卷 16, 期 4, 页码 -

出版社

IOP PUBLISHING LTD
DOI: 10.1088/1478-3975/ab1384

关键词

biofilms; Pseudomonas aeruginosa; Bacillus subtilis; diffusion; transport; spatial structure; heterogeneity

资金

  1. Cystic Fibrosis Foundation [GORDON1710]
  2. National Science Foundation [1727544]
  3. National Institutes of Health (NIAID) [1R01AI121500-01A1]
  4. Div Of Civil, Mechanical, & Manufact Inn
  5. Directorate For Engineering [1727544] Funding Source: National Science Foundation

向作者/读者索取更多资源

Biofilms are communities of sessile microbes that are bound to each other by a matrix made of biopolymers and proteins. Spatial structure is present in biofilms on many lengthscales. These range from the nanometer scale of molecular motifs to the hundred-micron scale of multicellular aggregates. Spatial structure is a physical property that impacts the biology of biofilms in many ways. The molecular structure of matrix components controls their interaction with each other (thereby impacting biofilm mechanics) and with diffusing molecules such as antibiotics and immune factors (thereby impacting antibiotic tolerance and evasion of the immune system). The size and structure of multicellular aggregates, combined with microbial consumption of growth substrate, give rise to differentiated microenvironments with different patterns of metabolism and gene expression. Spatial association of more than one species can benefit one or both species, while distances between species can both determine and result from the transport of diffusible factors between species. Thus, a widespread theme in the biological importance of spatial structure in biofilms is the effect of structure on transport. We survey what is known about this and other effects of spatial structure in biofilms, from molecules up to multispecies ecosystems. We conclude with an overview of what experimental approaches have been developed to control spatial structure in biofilms and how these and other experiments can be complemented with computational work.

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