Evidence map›Paper›PMID 32723792›Full record

ArticlemSystems2020

Untangling Species-Level Composition of Complex Bacterial Communities through a Novel Metagenomic Approach.

Christian Milani, Giulia Alessandri, Marta Mangifesta, Leonardo Mancabelli, Gabriele Andrea Lugli, Federico Fontana, Giulia Longhi, Rosaria Anzalone, Alice Viappiani, Sabrina Duranti and 8 more

Abstract read
In one paragraph

Article in mSystems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

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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

18 authors.

Christian MilaniLaboratory of Probiogenomics, Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma, Italy.
Giulia AlessandriDepartment of Veterinary Medical Science, University of Parma, Parma, Italy.
Marta MangifestaLaboratory of Probiogenomics, Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma, Italy.
Leonardo MancabelliLaboratory of Probiogenomics, Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma, Italy.
Gabriele Andrea LugliLaboratory of Probiogenomics, Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma, Italy.
Federico FontanaLaboratory of Probiogenomics, Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma, Italy.
Giulia LonghiLaboratory of Probiogenomics, Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma, Italy.
Rosaria AnzaloneGenProbio srl, Parma, Italy.
Alice ViappianiGenProbio srl, Parma, Italy.
Sabrina DurantiLaboratory of Probiogenomics, Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma, Italy.
Francesca TurroniLaboratory of Probiogenomics, Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma, Italy.
Renato CostiDepartment of Medicine and Surgery, University of Parma, Parma, Italy.
Alfredo AnnicchiaricoDepartment of Medicine and Surgery, University of Parma, Parma, Italy.
Andrea MoriniDepartment of Medicine and Surgery, University of Parma, Parma, Italy.
Leopoldo SarliDepartment of Medicine and Surgery, University of Parma, Parma, Italy.
Maria Cristina OssiprandiMicrobiome Research Hub, University of Parma, Parma, Italy.
Douwe van SinderenAPC Microbiome Institute and School of Microbiology, Bioscience Institute, National University of Ireland, Cork, Ireland.ORCID https://orcid.org/0000-0003-1823-7957
Marco VenturaLaboratory of Probiogenomics, Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma, Italy marco.ventura@unipr.it.ORCID https://orcid.org/0000-0002-4875-4560

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

16S small-subunit (SSU) rRNA gene-based bacterial profiling is the gold standard for cost-effective taxonomic reconstruction of complex bacterial populations down to the genus level. However, it has been proven ineffective in clinical and research settings requiring higher taxonomic resolution. We therefore developed a bacterial profiling method based on the internal transcribed spacer (ITS) region employing optimized primers and a comprehensive ITS database for accurate cataloguing of bacterial communities at (sub)species resolution. Performance of the microbial ITS profiling pipeline was tested through analysis of host-associated, food, and environmental matrices, while its efficacy in clinical settings was assessed through analysis of mucosal biopsy specimens of colorectal cancer, leading to the identification of putative novel biomarkers. The data collected indicate that the proposed pipeline represents a major step forward in cost-effective identification and screening of microbial biomarkers at (sub)species level, with relevant impact in research, industrial, and clinical settings.

Indexed as

ITSmetagenomicsprofiling

Identifiers

PMID32723792
PMCPMC7394355

What OpenQuestion holds

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LicenceCC BY
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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.