Evidence map›Paper›PMID 34747693›Full record

ArticleeLife2021

A genome-phenome association study in native microbiomes identifies a mechanism for cytosine modification in DNA and RNA.

Weiwei Yang, Yu-Cheng Lin, William Johnson, Nan Dai, Romualdas Vaisvila, Peter Weigele, Yan-Jiun Lee, Ivan R Corrêa, Ira Schildkraut, Laurence Ettwiller

Open access · goldAbstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

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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

10 authors at 2 institutions in 2 countries.

Weiwei Yang *New England Biolabs, Ipswich, United States.ORCID 0000-0002-8836-9018
Yu-Cheng Lin *New England Biolabs, Ipswich, United States.ORCID 0000-0002-4787-2565
William JohnsonNew England Biolabs, Ipswich, United States.
Nan DaiNew England Biolabs, Ipswich, United States.
Romualdas VaisvilaNew England Biolabs, Ipswich, United States.
Peter WeigeleNew England Biolabs, Ipswich, United States.
Yan-Jiun LeeNew England Biolabs, Ipswich, United States.
Ivan R CorrêaNew England Biolabs, Ipswich, United States.ORCID 0000-0002-3169-6878
Ira SchildkrautNew England Biolabs, Ipswich, United States.
Laurence EttwillerNew England Biolabs, Ipswich, United States.ORCID 0000-0002-3957-6539
New England Biolabs (China) · CNNational Yang Ming Chiao Tung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shotgun metagenomic sequencing is a powerful approach to study microbiomes in an unbiased manner and of increasing relevance for identifying novel enzymatic functions. However, the potential of metagenomics to relate from microbiome composition to function has thus far been underutilized. Here, we introduce the Metagenomics Genome-Phenome Association (MetaGPA) study framework, which allows linking genetic information in metagenomes with a dedicated functional phenotype. We applied MetaGPA to identify enzymes associated with cytosine modifications in environmental samples. From the 2365 genes that met our significance criteria, we confirm known pathways for cytosine modifications and proposed novel cytosine-modifying mechanisms. Specifically, we characterized and identified a novel nucleic acid-modifying enzyme, 5-hydroxymethylcytosine carbamoyltransferase, that catalyzes the formation of a previously unknown cytosine modification, 5-carbamoyloxymethylcytosine, in DNA and RNA. Our work introduces MetaGPA as a novel and versatile tool for advancing functional metagenomics.

Indexed as

Genome, BacterialCytosineDNA, BacterialEscherichia coli K12MicrobiotaRNA, BacterialCytosineDNA, BacterialRNA, Bacterial5-hydroxymethylcytosine carbamoyltransferaseDNA modificationfunctional metagenomicsgeneticsgenomicsGWASinfectious diseaseMetaGPAmicrobiologymicrobiomeRNA modification

Identifiers

PMID34747693
PMCPMC8670742
OpenAlexW3213350751

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.