Evidence map›Paper›PMID 40584559›Full record

ArticleISME communications2025

KSGP 3.1: improved taxonomic annotation of Archaea communities using LotuS2, the genome taxonomy database and RNAseq data.

Alastair Grant, Abdullah Aleidan, Charli S Davies, Solomon C Udochi, Joachim Fritscher, Mohammad Bahram, Falk Hildebrand

Abstract read
In one paragraph

Article in ISME communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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  4. 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

7 authors.

Alastair GrantSchool of Environmental Science, University of East Anglia, Norwich NR4 7TJ, United Kingdom.
Abdullah AleidanSchool of Environmental Science, University of East Anglia, Norwich NR4 7TJ, United Kingdom.
Charli S DaviesSchool of Environmental Science, University of East Anglia, Norwich NR4 7TJ, United Kingdom.
Solomon C UdochiSchool of Environmental Science, University of East Anglia, Norwich NR4 7TJ, United Kingdom.
Joachim FritscherQuadram Institute, Norwich Research Park, Norwich NR4 7UQ, United Kingdom.
Mohammad BahramDepartment of Ecology, Swedish University of Agricultural Sciences, Box 7044, 75007 Uppsala, Sweden.
Falk HildebrandQuadram Institute, Norwich Research Park, Norwich NR4 7UQ, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Taxonomic annotation is a substantial challenge for Archaea metabarcoding. A limited number of reference sequences are available; a substantial fraction of phylogenetic diversity is not fully characterized; widely used databases do not reflect current archaeal taxonomy and contain mislabelled sequences. We address these gaps with a systematic and tractable approach based around the Genome Taxonomy Database (GTDB) combined with the eukaryote PR2 and MIDORI mitochondrial databases. After removing incongruent, chimeric and duplicate SSU sequences, this combination (

Indexed as

16S rRNAestuaryGTDBmarine sedimentmetabarcodingmetatranscriptomicsRNAseqSILVAtaxonomic annotationtaxonomic databases

Identifiers

PMID40584559
PMCPMC12203549

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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.