Spatial transcriptome uncovers rich coordination of metabolism in E. coli K12 biofilm.
Tianmin WangPing ShenYihui HeYuzhen ZhangJintao LiuPublished in: Nature chemical biology (2023)
Microbial communities often display region-specific properties, which give rise to complex interactions and emergent behaviors that are critical to the homeostasis and stress response of the communities. However, systems-level understanding of these properties still remains elusive. In this study, we established RAINBOW-seq and profiled the transcriptome of Escherichia coli biofilm communities with high spatial resolution and high gene coverage. We uncovered three modes of community-level coordination, including cross-regional resource allocation, local cycling and feedback signaling, which were mediated by strengthened transmembrane transport and spatially specific activation of metabolism. As a consequence of such coordination, the nutrient-limited region of the community maintained an unexpectedly high level of metabolism, enabling it to express many signaling genes and functionally unknown genes with potential sociality functions. Our work provides an extended understanding of the metabolic interplay in biofilms and presents a new approach of investigating complex interactions in bacterial communities on the systems level.
Keyphrases
- genome wide
- escherichia coli
- candida albicans
- rna seq
- dna methylation
- pseudomonas aeruginosa
- single cell
- biofilm formation
- staphylococcus aureus
- genome wide identification
- mental health
- healthcare
- gene expression
- copy number
- high intensity
- cystic fibrosis
- bioinformatics analysis
- genome wide analysis
- single molecule
- affordable care act
- multidrug resistant
- risk assessment