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

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 (<i>GTDB+</i>) provides a small improvement in annotation of a set of estuarine Archaea Operational Taxonomic Units (OTUs) compared to SILVA. We add to this a collection of near full length rRNA sequences and the prokaryote SSU sequences in SILVA, creating a new reference database, KSGP ( <b><i>K</i></b> arst, <b><i>S</i></b> ilva, <b><i>G</i></b> TDB, and <b>P</b>R2). The additional sequences are (re-)annotated using three different approaches. The most conservative, using lowest common ancestor, gives a further small improvement. Annotation using SINTAX increases Class and Order assignments by 2.7 and 4.2 times over SILVA, although this may include some "lumping" of un-named and named clades. Still further improvement can be made using similarity based clustering to group database sequences into putative taxa at all taxonomic levels, assigning 60% and 41% of Archaea OTUs to putative family and genus level taxa respectively. GTDB without cleaning and GreenGenes2 both perform poorly and cannot be recommended for use with Archaea. We make the GTDB+ and KSGP databases available at ksgp.earlham.ac.uk; integrate them into a metabarcoding pipeline, LotuS2 and outline their use to annotate Archaea OTUs and metatranscriptomic data.

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Journal
ISME Communications
Published
2025-01-01
DOI
https://doi.org/10.1093/ismeco/ycaf094
Citations
1
Primary Topic
Microbial Community Ecology and Physiology
Type
article
Field-Weighted Citation Impact
1.72

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article

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

Alastair Grant, Abdullah Aleidan, Solomon C. Udochi, Falk Hildebrand et al.
1 citations
ISME Communications
Microbial Community Ecology and Physiology
1.72
article

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

Alastair Grant, Abdullah Aleidan, Solomon C. Udochi, Falk Hildebrand, Charli S. Davies, Mohammad Bahram, Joachim Fritscher
article en
1 citations

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 (<i>GTDB+</i>) provides a small improvement in annotation of a set of estuarine Archaea Operational Taxonomic Units (OTUs) compared to SILVA. We add to this a collection of near full length rRNA sequences and the prokaryote SSU sequences in SILVA, creating a new reference database, KSGP ( <b><i>K</i></b> arst, <b><i>S</i></b> ilva, <b><i>G</i></b> TDB, and <b>P</b>R2). The additional sequences are (re-)annotated using three different approaches. The most conservative, using lowest common ancestor, gives a further small improvement. Annotation using SINTAX increases Class and Order assignments by 2.7 and 4.2 times over SILVA, although this may include some "lumping" of un-named and named clades. Still further improvement can be made using similarity based clustering to group database sequences into putative taxa at all taxonomic levels, assigning 60% and 41% of Archaea OTUs to putative family and genus level taxa respectively. GTDB without cleaning and GreenGenes2 both perform poorly and cannot be recommended for use with Archaea. We make the GTDB+ and KSGP databases available at ksgp.earlham.ac.uk; integrate them into a metabarcoding pipeline, LotuS2 and outline their use to annotate Archaea OTUs and metatranscriptomic data.

ISME CommunicationsVol. 5(1)
University of East Anglia (GB), Hastings Center (US), Aarhus University (DK), Norwich Research Park (GB), King Saud University (SA), Swedish University of Agricultural Sciences (SE), Quadram Institute (GB), Agroécologie (FR), Earlham Institute (GB), Institute of Metal Research (CN), University of Tartu (EE), University of Jyväskylä (FI)
University of East Anglia, Commonwealth Scholarship Commission, King Saud University, Vetenskapsrådet, Directorate for Biological Sciences, Biotechnology and Biological Sciences Research Council
Life below water
Openalex Percentile: Top 16%
Microbial Community Ecology and Physiology
1.72
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