Evidence map›Paper›PMID 31911609›Full record

ArticleNature communications2020

Recording mobile DNA in the gut microbiota using an Escherichia coli CRISPR-Cas spacer acquisition platform.

Christian Munck, Ravi U Sheth, Daniel E Freedberg, Harris H Wang

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
4.1field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

47 citing papers in PubMed, 79 citations in OpenAlex.

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  13. Toward DNA-Based Recording of Biological Processes.International journal of molecular sciences · 2024
    Review
  14. Assessing spacer acquisition rates inFrontiers in microbiology · 2024
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Christian MunckDepartment of Systems Biology, Columbia University, New York, NY, USA.ORCID http://orcid.org/0000-0001-7809-0550
Ravi U ShethDepartment of Systems Biology, Columbia University, New York, NY, USA.ORCID http://orcid.org/0000-0002-9556-3441
Daniel E FreedbergDepartment of Medicine, Columbia University, New York, NY, USA.
Harris H WangDepartment of Systems Biology, Columbia University, New York, NY, USA. hw2429@columbia.edu.ORCID http://orcid.org/0000-0003-2164-4318
Columbia University · US

Funding

Micron-scale Spatial Metagenomic Mapping of Microbial Biogeography in the Gastrointestinal TractR01AI132403 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Harris H Wang · 2017 to 2026
$6.0M
NIAID NIH HHS R01 AI132403
6 · The paper itself

Abstract

The flow of genetic material between bacteria is central to the adaptation and evolution of bacterial genomes. However, our knowledge about DNA transfer within complex microbiomes is lacking, with most studies of horizontal gene transfer (HGT) relying on bioinformatic analyses of genetic elements maintained on evolutionary timescales or experimental measurements of phenotypically trackable markers. Here, we utilize the CRISPR-Cas spacer acquisition process to detect DNA acquisition events from complex microbiota in real-time and at nucleotide resolution. In this system, an E. coli recording strain is exposed to a microbial sample and spacers are acquired from transferred plasmids and permanently stored in genomic CRISPR arrays. Sequencing and analysis of acquired spacers enables identification of the transferred plasmids. This approach allowed us to identify individual mobile elements without relying on phenotypic markers or post-transfer replication. We found that HGT into the recording strain in human clinical fecal samples can be extensive and is driven by different plasmid types, with the IncX type being the most actively transferred.

Indexed as

Gastrointestinal MicrobiomeInterspersed Repetitive SequencesComputational BiologyCRISPR-Cas SystemsDNA, BacterialEscherichia coliFecesGene Transfer, HorizontalHumansPlasmidsDNA, Bacterial

Identifiers

PMID31911609
PMCPMC6946703
OpenAlexW2999988657

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.