Evidence map›Paper›PMID 36732617›Full record

ArticleISME communications2021

Automated analysis of genomic sequences facilitates high-throughput and comprehensive description of bacteria.

Thomas C A Hitch, Thomas Riedel, Aharon Oren, Jörg Overmann, Trevor D Lawley, Thomas Clavel

Abstract read
In one paragraph

Article in ISME communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed, 1 pooled it
–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

96 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Genome data mining of a novelData in brief · 2026
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Genomic Insights intoMicroorganisms · 2026
    Article
  16. Article
  17. Resolving taxonomic uncertainties in the genusFrontiers in microbiology · 2026
    Article
  18. Proposal of two novel species,International journal of systematic and evolutionary microbiology · 2026
    Article
  19. Functional and ecological characterization ofFrontiers in microbiology · 2026
    Article
  20. Article

36 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

6 authors.

Thomas C A HitchFunctional Microbiome Research Group, RWTH University Hospital, Aachen, Germany. thitch@ukaachen.de.ORCID http://orcid.org/0000-0003-2244-7412
Thomas RiedelLeibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany.
Aharon OrenThe Institute of Life Sciences, The Hebrew University of Jerusalem, The Edmond J. Safra Campus, Jerusalem, Israel.
Jörg OvermannLeibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany.
Trevor D LawleyHost-Microbiota Interactions Laboratory, Wellcome Sanger Institute, Hinxton, UK.
Thomas ClavelFunctional Microbiome Research Group, RWTH University Hospital, Aachen, Germany. tclavel@ukaachen.de.ORCID http://orcid.org/0000-0002-7229-5595

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) 403224013
6 · The paper itself

Abstract

The study of microbial communities is hampered by the large fraction of still unknown bacteria. However, many of these species have been isolated, yet lack a validly published name or description. The validation of names for novel bacteria requires that the uniqueness of those taxa is demonstrated and their properties are described. The accepted format for this is the protologue, which can be time-consuming to create. Hence, many research fields in microbiology and biotechnology will greatly benefit from new approaches that reduce the workload and harmonise the generation of protologues.We have developed Protologger, a bioinformatic tool that automatically generates all the necessary readouts for writing a detailed protologue. By producing multiple taxonomic outputs, functional features and ecological analysis using the 16S rRNA gene and genome sequences from a single species, the time needed to gather the information for describing novel taxa is substantially reduced. The usefulness of Protologger was demonstrated by using three published isolate collections to describe 34 novel taxa, encompassing 17 novel species and 17 novel genera, including the automatic generation of ecologically and functionally relevant names. We also highlight the need to utilise multiple taxonomic delineation methods, as while inconsistencies between each method occur, a combined approach provides robust placement. Protologger is open source; all scripts and datasets are available, along with a webserver at www.protologger.de.

Identifiers

PMID36732617
PMCPMC9723785

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.