High-throughput, single-microbe genomics with strain resolution, applied to a human gut microbiome.


Journal

Science (New York, N.Y.)
ISSN: 1095-9203
Titre abrégé: Science
Pays: United States
ID NLM: 0404511

Informations de publication

Date de publication:
03 06 2022
Historique:
entrez: 2 6 2022
pubmed: 3 6 2022
medline: 7 6 2022
Statut: ppublish

Résumé

Characterizing complex microbial communities with single-cell resolution has been a long-standing goal of microbiology. We present Microbe-seq, a high-throughput method that yields the genomes of individual microbes from complex microbial communities. We encapsulate individual microbes in droplets with microfluidics and liberate their DNA, which we then amplify, tag with droplet-specific barcodes, and sequence. We explore the human gut microbiome, sequencing more than 20,000 microbial single-amplified genomes (SAGs) from a single human donor and coassembling genomes of almost 100 bacterial species, including several with multiple subspecies strains. We use these genomes to probe microbial interactions, reconstructing the horizontal gene transfer (HGT) network and observing HGT between 92 species pairs; we also identify a significant in vivo host-phage association between crAssphage and one strain of

Identifiants

pubmed: 35653470
doi: 10.1126/science.abm1483
doi:

Substances chimiques

DNA, Bacterial 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

eabm1483

Subventions

Organisme : NHLBI NIH HHS
ID : P01 HL120839
Pays : United States
Organisme : NIAID NIH HHS
ID : R21 AI125990
Pays : United States
Organisme : NIAID NIH HHS
ID : R21 AI128623
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI153156
Pays : United States

Auteurs

Wenshan Zheng (W)

Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA.
Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.

Shijie Zhao (S)

Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, MA, USA.

Yehang Yin (Y)

Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang, China.

Huidan Zhang (H)

School of Engineering and Applied Sciences (SEAS), Harvard University, Cambridge, MA, USA.

David M Needham (DM)

Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Ocean Ecosystems Biology, GEOMAR, Helmholtz Centre for Ocean Research, Kiel, Germany.

Ethan D Evans (ED)

Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, MA, USA.

Chengzhen L Dai (CL)

Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, MA, USA.
Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA.

Peter J Lu (PJ)

School of Engineering and Applied Sciences (SEAS), Harvard University, Cambridge, MA, USA.
Department of Physics, Harvard University, Cambridge, MA, USA.

Eric J Alm (EJ)

Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, MA, USA.

David A Weitz (DA)

School of Engineering and Applied Sciences (SEAS), Harvard University, Cambridge, MA, USA.
Department of Physics, Harvard University, Cambridge, MA, USA.
Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.

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Classifications MeSH