Evidence map›Paper›PMID 34313994›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

Helminth Microbiota Profiling Using Bacterial 16S rRNA Gene Amplicon Sequencing: From Sampling to Sequence Data Mining.

Fabio Formenti, Gabriel Rinaldi, Cinzia Cantacessi, Alba Cortés

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.5field-weighted citation impact, top 22% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Review
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 3 institutions in 3 countries.

Fabio FormentiDepartment of Veterinary Medicine, University of Cambridge, Cambridge, UK.
Gabriel RinaldiWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK.
Cinzia CantacessiDepartment of Veterinary Medicine, University of Cambridge, Cambridge, UK. cc779@cam.ac.uk.
Alba CortésDepartament de Farmàcia i Tecnologia Farmacèutica i Parasitologia, Facultat de Farmàcia, Universitat de València, València, Spain. alba.cortes@uv.es.
University of Cambridge · GBUniversitat de València · ESWellcome Sanger Institute · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Symbiont microbial communities play important roles in animal biology and are thus considered integral components of metazoan organisms, including parasitic worms (helminths). Nevertheless, the study of helminth microbiomes has thus far been largely overlooked, and symbiotic relationships between helminths and their microbiomes have been only investigated in selected parasitic worms. Over the past decade, advances in next-generation sequencing technologies, coupled with their increased affordability, have spurred investigations of helminth-associated microbial communities aiming at enhancing current understanding of their fundamental biology and physiology, as well as of host-microbe interactions. Using the blood fluke Schistosoma mansoni as a key example of parasitic worms with complex life cycles involving multiple hosts, in this chapter we (1) provide an overview of protocols for sample collection and (2) outline an example workflow to characterize worm-associated microbial communities using high-throughput sequencing technologies and bioinformatics analyses of large-scale sequence data.

Indexed as

HelminthsMicrobiotaAnimalsData MiningGenes, rRNAHigh-Throughput Nucleotide SequencingRNA, Ribosomal, 16SRNA, Ribosomal, 16SBacterial 16S rRNA geneBioinformaticsHelminthHigh-throughput sequencingIndirect life cycleSchistosoma mansoniWorm-associated microbiome

Identifiers

PMID34313994
OpenAlexW3121236449

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.