Illuminating microbial mat assembly: Cyanobacteria and Chloroflexota cooperate to structure light-responsive biofilms
Bunbury, F.; Rivas, C.; Calatrava, V.; Malkovskiy, A.; Joubert, L.-M.; Parvate, A.; Evans, J. E.; Grossman, A. R.; Bhaya, D.
Show abstract
Microbial mats are stratified communities often dominated by unicellular and filamentous phototrophs within an exopolymer matrix. It is challenging to quantify the dynamic responses of community members in situ as they experience steep gradients and rapid fluctuations of light. To address this, we developed a binary consortium using two representative isolates from hot spring mats: the unicellular oxygenic phototrophic cyanobacterium Synechococcus OS-B (Syn OS-B) and the filamentous anoxygenic phototroph Chloroflexus MS-CIW-1 (Chfl MS-1). We quantified the motility of individual cells and entire colonies and demonstrated that Chfl MS-1 formed bundles of filaments that moved in all directions with no directional bias to light. Syn OS- B was slightly less motile but exhibited positive phototaxis. This binary consortium displayed cooperative behavior by moving further than either species alone and formed ordered arrays where both species aligned with the light source. No cooperative motility was observed when a non-motile pilB mutant of Syn OS-B was used instead of Syn OS-B. The binary consortium also produced more adherent biofilm than individual species, consistent with the close interspecies association revealed by electron microscopy. We propose that cyanobacteria and Chloroflexota cooperate in forming natural microbial mats, by colonizing new niches and building robust biofilms. SignificanceMicrobial mats are dense, layered communities with ancient origins and widespread occurrence, but how they assemble is not well understood. To investigate how microbial motility, physical interactions, and responses to light affect mat assembly, we developed a binary consortium from representative hot spring mat isolates. Individually, the Cyanobacteria and Chloroflexota isolates displayed significant differences in motility and biofilm formation. When combined, the consortium exhibited enhanced motility towards light and formed more robust biofilms. This model consortium approach complements in situ studies by directly testing the role of motility and physical cooperation in shaping microbial mats, and could inform biofilm applications in industrial settings.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Comparative biofilm assays using Enterococcus faecalis OG1RF identify new determinants of biofilm formation 96%
- Prochlorococcus rely on microbial interactions rather than on chlorotic resting stages to survive long-term nutrient starvation 96%
- How individual P. aeruginosa cells with diverse stator distributions collectively form a heterogeneous macroscopic swarming population 96%
Similar papers in this journal
- Anaerobic sulfur oxidation underlies adaptation of a chemosynthetic symbiont to oxic-anoxic interfaces 95%
- Long-term cellulose enrichment selects for highly cellulolytic consortia and competition for public goods 95%
- Transcriptional pathways across colony biofilm models in the symbiont Vibrio fischeri 95%
Similar papers in this journal
- Adhesive interactions within microbial consortia can be differentiated at the single-cell level through expansion microscopy 96%
- Interspecies interactions determine growth dynamics of biopolymer degrading populations in microbial communities. 96%
- Co-zorbs: Motile, multispecies biofilms aid transport of diverse bacterial species 96%
Similar papers in this journal
- Two-way microscale interactions between immigrant bacteria and plant leaf microbiota as revealed by live imaging 96%
- Swarming bacteria exhibit developmental phase transitions to establish scattered colonies in new regions 95%
- Phototroph-heterotroph interactions during growth and long-term starvation across Prochlorococcus and Alteromonas diversity 95%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.