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SUMMARY:Contributed Talk: Robust spatial organisation and community compos
 ition of a phototrophic microbial community predicts metabolic interaction
 s - Sarah Duxbury (University of Warwick)
DTSTART:20221010T140500Z
DTEND:20221010T142500Z
UID:TALK179300@talks.cam.ac.uk
DESCRIPTION:Sarah J.N. Duxbury1\, Sebastien Raguideau2\,4\, Mary Coates1\,
  Jerko Rosko1\, Kelsey Cremin1\, Christopher Quince2\,3\,4\, Orkun S. Soye
 r1\n1School of Life Sciences\, University of Warwick\, Coventry\, CV4 7AL.
  2Organisms and Ecosystems\, Earlham Institute\, Norwich Research Park\, N
 orwich\, NR4 7UZ. 3Gut Microbes and Health\, Quadram Institute\, Norwich N
 R4 7UQ\, UK. 4Warwick Medical School\, University of Warwick\, Coventry\, 
 CV4 7AL.\nPhototrophic and heterotrophic organisms commonly co-exist in mi
 crobial communities in aquatic environments and play an important role in 
 biogeochemical cycling. These communities\, often consisting of photosynth
 etic cyanobacteria\, can readily form spatial structures and assemblages i
 ncluding mats and granules. Whilst initial studies have characterised spec
 ies and some metabolic functions via community DNA sequencing\, little is 
 known about specific interaction partners and the spatial and temporal dyn
 amics of these interactions. We have isolated and maintained over laborato
 ry cultures\, a naturally-derived phototrophic microbial community and obs
 erved dynamic formation of motile filamentous biofilm structures and granu
 les. We have combined both short (Illumina) and long-read (HiFi PacBio) sh
 otgun metagenomic sequencing to resolve bacterial genomes from community c
 ultures. Additionally\, we have used dilution plating to isolate and chara
 cterise the taxonomy and physiology of different colony morphotypes. Via s
 equencing\, we identified up to sixteen different bacterial species mainta
 ined in a spatially-organised community over multiple growth passages. We 
 identified a novel filamentous cyanobacterial species alongside a phylogen
 etically diverse set of bacteria across the classes Acidimicrobiia\, Actin
 omycetia\, Alphaproteobacteria and Gammaproteobacteria. Through bioinforma
 tics analysis of circular genomes\, we can predict metabolic functions and
  potential interactions among community members\, with a particular focus 
 on carbon metabolism. We have experimentally isolated species from the Pse
 udomonas and Allorhizobium genera and have performed growth assays on carb
 on sources to support metabolic capabilities predicted from sequence data.
  Overall\, we present a stable\, structured and medium-complexity microbia
 l community that could provide a representative model system for understan
 ding population dynamics and stability of spatially-structured freshwater 
 communities.
LOCATION:Seminar Room 1\, Newton Institute
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