4.8 Article

Spatial metagenomic characterization of microbial biogeography in the gut

Journal

NATURE BIOTECHNOLOGY
Volume 37, Issue 8, Pages 877-+

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41587-019-0183-2

Keywords

-

Funding

  1. NIH [1R01AI132403, 1R01DK118044, R01GM110494]
  2. ONR [N00014-15-1-2704]
  3. Burroughs Welcome Fund PATH [1016691]
  4. NIH/NIBIB [K01EB016071]
  5. Fannie and John Hertz Foundation Fellowship
  6. NSF Graduate Research Fellowship [DGE-1644869]

Ask authors/readers for more resources

Spatial structuring is important for the maintenance of natural ecological systems(1,2). Many microbial communities, including the gut microbiome, display intricate spatial organization(3-9). Mapping the biogeography of bacteria can shed light on interactions that underlie community functions(10-12), but existing methods cannot accommodate the hundreds of species that are found in natural microbiomes(13-17). Here we describe metagenomic plot sampling by sequencing (MaPS-seq), a culture-independent method to characterize the spatial organization of a microbiome at micrometer-scale resolution. Intact microbiome samples are immobilized in a gel matrix and cryofractured into particles. Neighboring microbial taxa in the particles are then identified by droplet-based encapsulation, barcoded 16S rRNA amplification and deep sequencing. Analysis of three regions of the mouse intestine revealed heterogeneous microbial distributions with positive and negative co-associations between specific taxa. We identified robust associations between Bacteroidales taxa in all gut compartments and showed that phylogenetically clustered local regions of bacteria were associated with a dietary perturbation. Spatial metagenomics could be used to study microbial biogeography in complex habitats.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available