English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Identifying and tracking mobile elements in evolving compost communities yields insights into the nanobiome

MPS-Authors
/persons/resource/persons269599

van Dijk,  Bram
Department Microbial Population Biology, Max Planck Institute for Evolutionary Biology, Max Planck Society;

/persons/resource/persons250407

Buffard,  Pauline
Department Microbial Population Biology, Max Planck Institute for Evolutionary Biology, Max Planck Society;
IMPRS for Evolutionary Biology, Max Planck Institute for Evolutionary Biology, Max Planck Society;

/persons/resource/persons232781

Farr,  Andrew D.
Department Microbial Population Biology, Max Planck Institute for Evolutionary Biology, Max Planck Society;

/persons/resource/persons56872

Rainey,  Paul B.
Department Microbial Population Biology, Max Planck Institute for Evolutionary Biology, Max Planck Society;

External Resource
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

43705_2023_article_294.pdf
(Publisher version), 5MB

Supplementary Material (public)
There is no public supplementary material available
Citation

van Dijk, B., Buffard, P., Farr, A. D., Giersdorf, F., Meijer, J., Dutilh, B. E., et al. (2023). Identifying and tracking mobile elements in evolving compost communities yields insights into the nanobiome. ISME Communications, 3: 90. doi:10.1038/s43705-023-00294-w.


Cite as: https://hdl.handle.net/21.11116/0000-000C-9810-6
Abstract
Microbial evolution is driven by rapid changes in gene content mediated by horizontal gene transfer (HGT). While mobile genetic elements (MGEs) are important drivers of gene flux, the nanobiome—the zoo of Darwinian replicators that depend on microbial hosts—remains poorly characterised. New approaches are necessary to increase our understanding beyond MGEs shaping individual populations, towards their impacts on complex microbial communities. A bioinformatic pipeline (xenoseq) was developed to cross-compare metagenomic samples from microbial consortia evolving in parallel, aimed at identifying MGE dissemination, which was applied to compost communities which underwent periodic mixing of MGEs. We show that xenoseq can distinguish movement of MGEs from demographic changes in community composition that otherwise confounds identification, and furthermore demonstrate the discovery of various unexpected entities. Of particular interest was a nanobacterium of the candidate phylum radiation (CPR) which is closely related to a species identified in groundwater ecosystems (Candidatus Saccharibacterium), and appears to have a parasitic lifestyle. We also highlight another prolific mobile element, a 313 kb plasmid hosted by a Cellvibrio lineage. The host was predicted to be capable of nitrogen fixation, and acquisition of the plasmid coincides with increased ammonia production. Taken together, our data show that new experimental strategies combined with bioinformatic analyses of metagenomic data stand to provide insight into the nanobiome as a driver of microbial community evolution.