Evidence map›Paper›PMID 34427527›Full record

ArticlemSystems2021

Comprehensive Wet-Bench and Bioinformatics Workflow for Complex Microbiota Using Oxford Nanopore Technologies.

Christoph Ammer-Herrmenau, Nina Pfisterer, Tim van den Berg, Ivana Gavrilova, Ahmad Amanzada, Shiv K Singh, Alaa Khalil, Rohia Alili, Eugeni Belda, Karine Clement and 6 more

Open access · goldAbstract read
In one paragraph

Article in mSystems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Nanopore R10.4 metagenomic detection of blaNature communications · 2024
    Article
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  7. Article
  8. Article
  9. Multiplex PCR Identification ofFoods (Basel, Switzerland) · 2022
    Article
  10. Article
  11. Article
  12. 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

16 authors at 4 institutions in 3 countries.

Christoph Ammer-HerrmenauDepartment of Gastroenterology, Gastrointestinal Oncology and Endocrinology, University Medicine Goettingen, Goettingen, Germany.
Nina PfistererDepartment of Gastroenterology, Gastrointestinal Oncology and Endocrinology, University Medicine Goettingen, Goettingen, Germany.
Tim van den BergDepartment Medical Bioinformatics, University Medicine Goettingen, Goettingen, Germany.
Ivana GavrilovaDepartment of Gastroenterology, Gastrointestinal Oncology and Endocrinology, University Medicine Goettingen, Goettingen, Germany.
Ahmad AmanzadaDepartment of Gastroenterology, Gastrointestinal Oncology and Endocrinology, University Medicine Goettingen, Goettingen, Germany.
Shiv K SinghDepartment of Gastroenterology, Gastrointestinal Oncology and Endocrinology, University Medicine Goettingen, Goettingen, Germany.
Alaa KhalilDepartment of Gastroenterology, Gastrointestinal Oncology and Endocrinology, University Medicine Goettingen, Goettingen, Germany.
Rohia AliliFaculty of Medicine, Sorbonne University, INSERM UMRS NutriOmics, Paris, France.
Eugeni BeldaFaculty of Medicine, Sorbonne University, INSERM UMRS NutriOmics, Paris, France.
Karine ClementFaculty of Medicine, Sorbonne University, INSERM UMRS NutriOmics, Paris, France.
Ahmed Abd El WahedInstitute of Animal Hygiene and Veterinary Public Health, University of Leipzig, Leipzig, Germany.
ElSagad Eltayeb GadyFaculty of Medicine, Al Neelain University/Ibn Sina Specialised Hospital, Khartoum, Sudan.
Martin HaubrockDepartment Medical Bioinformatics, University Medicine Goettingen, Goettingen, Germany.
Tim BeißbarthDepartment Medical Bioinformatics, University Medicine Goettingen, Goettingen, Germany.
Volker EllenriederDepartment of Gastroenterology, Gastrointestinal Oncology and Endocrinology, University Medicine Goettingen, Goettingen, Germany.
Albrecht NeesseDepartment of Gastroenterology, Gastrointestinal Oncology and Endocrinology, University Medicine Goettingen, Goettingen, Germany.
Nephrologisches Zentrum Goettingen · DEInserm · FRAl-Neelain University · SDLeipzig University · DE

Funding

Deutsche Forschungsgemeinschaft (DFG) 404935781
6 · The paper itself

Abstract

The advent of high-throughput sequencing techniques has recently provided an astonishing insight into the composition and function of the human microbiome. Next-generation sequencing (NGS) has become the gold standard for advanced microbiome analysis; however, 3rd generation real-time sequencing, such as Oxford Nanopore Technologies (ONT), enables rapid sequencing from several kilobases to >2 Mb with high resolution. Despite the wide availability and the enormous potential for clinical and translational applications, ONT is poorly standardized in terms of sampling and storage conditions, DNA extraction, library creation, and bioinformatic classification. Here, we present a comprehensive analysis pipeline with sampling, storage, DNA extraction, library preparation, and bioinformatic evaluation for complex microbiomes sequenced with ONT. Our findings from buccal and rectal swabs and DNA extraction experiments indicate that methods that were approved for NGS microbiome analysis cannot be simply adapted to ONT. We recommend using swabs and DNA extractions protocols with extended washing steps. Both 16S rRNA and metagenomic sequencing achieved reliable and reproducible results. Our benchmarking experiments reveal thresholds for analysis parameters that achieved excellent precision, recall, and area under the precision recall values and is superior to existing classifiers (Kraken2, Kaiju, and MetaMaps). Hence, our workflow provides an experimental and bioinformatic pipeline to perform a highly accurate analysis of complex microbial structures from buccal and rectal swabs.

Indexed as

16S rRNAbioinformatic workflowbuccal swabDNA extractioneNATeSwabKaijuKraken2metagenomicsMetaMapsMetapontmicrobiomeONTOxford Nanopore Technologiesrectal swabsamplingsequencingstorage

Identifiers

PMID34427527
PMCPMC8407471
OpenAlexW3194252622

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.