Evidence map›Paper›PMID 27572971›Full record

ArticleNature microbiology2016

Uncovering oral Neisseria tropism and persistence using metagenomic sequencing.

Claudio Donati, Moreno Zolfo, Davide Albanese, Duy Tin Truong, Francesco Asnicar, Valerio Iebba, Duccio Cavalieri, Olivier Jousson, Carlotta De Filippo, Curtis Huttenhower and 1 more

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In one paragraph

Article in Nature microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

64 citing papers in PubMed, 104 citations in OpenAlex.

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4 more citing papers are in PubMed but not listed here.

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

11 authors at 5 institutions in 2 countries.

Claudio DonatiComputational Biology Unit, Research and Innovation Centre, Fondazione Edmund Mach, Via Edmund Mach 1, 38010 San Michele All'adige, Italy.
Moreno ZolfoCentre for Integrative Biology, University of Trento, Via Sommarive 9, 38123 Trento, Italy.ORCID 0000-0001-6661-4046
Davide AlbaneseComputational Biology Unit, Research and Innovation Centre, Fondazione Edmund Mach, Via Edmund Mach 1, 38010 San Michele All'adige, Italy.ORCID 0000-0002-9493-3850
Duy Tin TruongCentre for Integrative Biology, University of Trento, Via Sommarive 9, 38123 Trento, Italy.ORCID 0000-0002-4169-7727
Francesco AsnicarCentre for Integrative Biology, University of Trento, Via Sommarive 9, 38123 Trento, Italy.
Valerio IebbaDepartment of Public Health and Infectious Diseases, Institute Pasteur Cenci Bolognetti Foundation, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Roma, Italy.
Duccio CavalieriDepartment of Biology, University of Florence, Via Madonna del Piano 6, 50019 Sesto Fiorentino, Firenze, Italy.
Olivier JoussonCentre for Integrative Biology, University of Trento, Via Sommarive 9, 38123 Trento, Italy.
Carlotta De FilippoInstitute of Biometeorology, National Research Council (IBIMET-CNR), Via Caproni 8, 50145 Firenze, Italy.ORCID 0000-0002-2222-6524
Curtis HuttenhowerBiostatistics Department, Harvard School of Public Health, Boston, Massachusetts 02115, USA.
Nicola SegataCentre for Integrative Biology, University of Trento, Via Sommarive 9, 38123 Trento, Italy.ORCID 0000-0002-1583-5794
University of Trento · ITFondazione Edmund Mach · ITIstituto di Biometeorologia · ITBroad Institute · USIstituto Pasteur · IT

Funding

Characterizing the gut microbial ecosystem for diagnosis and therapy in IBDU54DE023798 · NIDCR · BROAD INSTITUTE, INC. · PI HUTTENHOWER, CURTIS, XAVIER, RAMNIK J · 2013 to 2014
$3.0M
Functional activity and inter-organismal interactions in the human microbiomeR01HG005969 · NHGRI · HARVARD SCHOOL OF PUBLIC HEALTH · PI HUTTENHOWER, CURTIS · 2010 to 2012
$1.3M
NHGRI NIH HHS R01 HG005969NIDCR NIH HHS U54 DE023798
6 · The paper itself

Abstract

Microbial epidemiology and population genomics have previously been carried out near-exclusively for organisms grown in vitro. Metagenomics helps to overcome this limitation, but it is still challenging to achieve strain-level characterization of microorganisms from culture-independent data with sufficient resolution for epidemiological modelling. Here, we have developed multiple complementary approaches that can be combined to profile and track individual microbial strains. To specifically profile highly recombinant neisseriae from oral metagenomes, we integrated four metagenomic analysis techniques: single nucleotide polymorphisms in the clade's core genome, DNA uptake sequence signatures, metagenomic multilocus sequence typing and strain-specific marker genes. We applied these tools to 520 oral metagenomes from the Human Microbiome Project, finding evidence of site tropism and temporal intra-subject strain retention. Although the opportunistic pathogen Neisseria meningitidis is enriched for colonization in the throat, N. flavescens and N. subflava populate the tongue dorsum, and N. sicca, N. mucosa and N. elongata the gingival plaque. The buccal mucosa appeared as an intermediate ecological niche between the plaque and the tongue. The resulting approaches to metagenomic strain profiling are generalizable and can be extended to other organisms and microbiomes across environments.

Indexed as

MetagenomeSequence Analysis, DNAViral TropismComputers, MolecularGenome, BacterialGingivaHumansMetagenomicsMicrobiotaMouthMultilocus Sequence TypingNeisseriaPharynxPhylogenyPolymorphism, Single NucleotideTongue

Identifiers

PMID27572971
OpenAlexW2400467537

What OpenQuestion holds

Textmetadata
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.