Meta-analysis of cable bacteria and their associates in existing next-generation sequencing datasets: cables are everywhere

Research output: Contribution to conferencePosterResearch

Documents

  • Ian P.G. Marshall
  • Laurine D. W. Burdorf, Royal Netherlands Inst Sea Res NIOZ Yerseke, Dept Ecosyst Studies, Utrecht University, Utrecht, Netherlands
  • Andreas Schramm
The sediment environments inhabited by cable bacteria have been the subject of
investigations by microbial ecologists for decades, but it is only in the last few years that we have become aware of cable bacteria, particularly the uncultivated candidate genera Electrothrix and Electronema. There are many publicly available datasets from next-generation sequencing of 16S rRNA gene amplicons from environmental samples where cablebacteria sequences may be present, but were overlooked in the initial analysis. We have begun to re-examine these existing datasets, alongside some of our own new datasets, to determine the extent of cable bacteria diversity, and to identify patterns in their distribution to aid our understanding of cable bacteria ecology. Moreover, we aim to identify other microbial taxa that co-occur with cable bacteria, possibly indicating an association between cable bacteria and members of the surrounding microbial community. We have scanned 259,144 existing
samples in the Sequence Read Archive (SRA), and identified cable bacteria in 4,259 of these. These samples contained up to 10.7% Electrothrix/Electronema. We have used these datasets to obtain a comprehensive picture of the diversity within the candidate genera Electrothrix and Electronema, and to identify putative microbes that live in association with cable bacteria.
Original languageEnglish
Publication year2019
Publication statusPublished - 2019
EventElectromicrobiology 2019 - Aarhus, Denmark
Duration: 21 Mar 201922 Mar 2019

Conference

ConferenceElectromicrobiology 2019
CountryDenmark
CityAarhus
Period21/03/201922/03/2019

See relations at Aarhus University Citationformats

Download statistics

No data available

ID: 156783667