ArchaeaHQ
A quality-controlled, systematically curated reference database of 25,584 archaeal genomes across all four kingdoms — filtered, de-replicated, and linked with environmental, geographic and taxonomic metadata. Built to be explored and downloaded, not just read.
A High-Quality Archaeal Reference
Public archives grow fast but inconsistently — a mixture of pristine genomes, fragmented assemblies, and records with missing environmental data. ArchaeaHQ resolves that into a single analysis-ready set.
Archaea_HQ-16S.fasta.Archaea have proven to be major players in biogeochemical cycles across diverse ecosystems, yet we still see an underrepresentation of archaeal genomes in the datasets used by popular computational biology tools. Here we present ArchaeaHQ, a quality-controlled, systematically curated reference database of 25,584 archaeal genomes compiled initially from 43,045 assemblies from all four archaeal kingdoms retrieved from NCBI: Methanobacteriati (Euryarchaeota), Thermoproteati (TACK), Nanobdellati (DPANN), and Promethearchaeati (Asgard). All genomes in the database passed standardized quality control, requiring ≥70% completeness and ≤10% contamination. A total of 44.0% of genomes in ArchaeaHQ achieved ≥90% completeness, while 92.7% exhibited ≤5% contamination. ArchaeaHQ comprises 18,701 metagenome-assembled genomes (MAGs; 73.1%) and 6,883 isolate genomes (26.9%). Approximately 76% of MAGs are assigned to 17 ecologically meaningful categories based on sampling origin, and around 65% of genomes include geographic metadata. ArchaeaHQ provides an analysis-ready reference set for metagenomic classification, biogeochemical and ecological studies, comparative genomics, and development of archaeal-specific bioinformatic tools.
Bespiatykh, D., et al. (2026). ArchaeaHQ: A Quality-Controlled, Systematically Curated Reference Database of Archaeal Genomes. bioRxiv. https://doi.org/10.64898/2026.06.02.729493
@article{leao2026archaeahq,
title = {ArchaeaHQ: A Quality-Controlled, Systematically Curated Reference Database of Archaeal Genomes},
author = {Bespiatykh, Dmitry and others},
year = {2026},
journal = {bioRxiv},
doi = {10.64898/2026.06.02.729493},
url = {https://www.biorxiv.org/content/10.64898/2026.06.02.729493v1}
}
Never Out of Date
New archaeal assemblies reach NCBI every week. With archaeahq-update you can check what has been released since your copy, run the new genomes through exactly the same curation rules, and build the next version of the database — in four commands.
$ pip install git+https://github.com/Pedrolleao/archaeahq-update.git $ archaeahq-update setup # tools + CheckM2 database $ archaeahq-update fetch-db # ArchaeaHQ from figshare
# 1. What is new at NCBI since my version? (nothing is downloaded) $ archaeahq-update check # 2. Download and evaluate the new genomes $ archaeahq-update run --threads 24 # 3. Review the recommendations $ less archaeahq_update_work/runs/run_*/summary.txt # 4. Accept them: build the next database version $ archaeahq-update release
See what's new check
Lists, per kingdom, the NCBI assemblies deposited after your version that have never been evaluated — including newer versions of genomes already in the database.
Curate the new genomes run
Downloads them and applies the ArchaeaHQ rules, stage by stage. An interrupted run resumes where it stopped.
Review summary.txt
Every genome gets a recommendation — Add, Replace or Do not add — with the reason and the full 25-column metadata row. You stay the curator: accept all, or pass your own list with --accept.
Build the next version release
Writes a new versioned folder with genomes, predicted proteins, 16S rRNA sequences and the updated information table, and prints a side-by-side comparison with your previous version.
setup. Preview any release first with release --dry-run.
Step-by-step guide menu_book
archaeahq-update on GitHub north_east
From 43,045 Assemblies to 25,584 Genomes
A multi-step pipeline applied contamination and completeness gates, then removed identity- and species-level redundancy — a 40.6% net reduction that keeps quality high while preserving the full taxonomic spectrum.
Fig. 1a — Curation workflow from the 43,045 NCBI archaeal assemblies to the 25,584 ArchaeaHQ genomes. Band width is proportional to the number of assemblies; grey bands are removed at each step. Hover a band, bar, step or kingdom for its numbers.
Completeness & Contamination
Every genome passed the ≥70% completeness / ≤10% contamination gate. Filled points meet the MIMAG high-quality bar (≥90% complete, ≤5% contaminated). Toggle kingdoms in the legend.
Quality landscape
All 25,584 genomes · CheckM2 v1.0.1 · click legend to isolate a kingdom
High-quality genomes by kingdom
Share with a Parks genome quality score above 50 (completeness − 5 × contamination)
Four Kingdoms, 39 Phyla
Every genome keeps its NCBI taxonomy, so ArchaeaHQ plugs straight into NCBI-based tools. Open a kingdom to zoom through phylum, class, order, family and genus; at genus level the species link out to NCBI Taxonomy.
Voronoi treemap: cell area is proportional to the number of genomes. Hatched cells are genomes without a named taxon at that rank — the share of genomes with a named taxon falls from 97.4% at phylum level to 24.9% at genus level, reflecting the limited resolution of NCBI annotations for many uncultivated archaea.
17 Ecological Categories
The in-depth curation of environmental context is what sets ArchaeaHQ apart. Each genome is normalized into one of 17 categories from five metadata fields. Hot springs, marine waters, soils and hydrothermal vents dominate. Click an environment to see its genomes one dot each.
Fig. 2 — Parliament plot of ArchaeaHQ genomes by environment category, coloured by archaeal kingdom. Percentages give each category's share of all genomes (Supplementary Tables 2–3).
Global Sampling Footprint
Geographic metadata are available for 16,617 genomes (65.0% of the database) from 2,014 distinct sampling sites, enabling spatial analyses of archaeal biogeography. Coordinates were verified from BioSample-level records during curation.
Fig. 3 — Sampling locations of the 16,617 georeferenced genomes. Each dot is one genome; sites where many genomes were recovered grow a halo proportional to their number.
Top sampling locations
Genomes with a parseable country / ocean of origin
Genome Browser
Search and filter all 25,584 genomes by kingdom, environment, assembly type, completeness, 16S rRNA content and free text (species, accession, BioProject, country). Accessions link directly to NCBI.
How ArchaeaHQ Compares
Existing resources solve parts of the problem. ArchaeaHQ is designed specifically as a downloadable, quality-filtered, environmentally annotated archaeal reference set that stays compatible with NCBI-based workflows.
- ✓Most comprehensive assembly archive
- ✕Highly variable quality & completeness
- ✕No curated archaeal subset
- ✕Inconsistent environmental metadata
- ✓Phylogenetically consistent taxonomy
- ~Representative genomes only
- ✕Not an analysis-ready download set
- ✕Diverges from NCBI accessions
- ✓Large MAG collection
- ✓Rich environmental context
- ✕Not a precompiled download
- ✕Hard to use in CLI pipelines
- ✓Quality-controlled & de-replicated
- ✓Fully downloadable, analysis-ready
- ✓Environmental data as a core feature
- ✓NCBI taxonomy & accession compatible
- ✓User-updatable with the same criteria
How It Was Built
The reproducible pipeline behind every genome in the database.
Use ArchaeaHQ in Your Research
ArchaeaHQ is freely available — genomes, curated metadata and 16S rRNA sequences on figshare. Keep it current with the update script, and reach out to discuss collaborations or training in archaeal comparative genomics.
Bespiatykh, D., et al. (2026). ArchaeaHQ: A Quality-Controlled, Systematically Curated Reference Database of Archaeal Genomes. bioRxiv. https://doi.org/10.64898/2026.06.02.729493
@article{leao2026archaeahq,
title = {ArchaeaHQ: A Quality-Controlled, Systematically Curated Reference Database of Archaeal Genomes},
author = {Bespiatykh, Dmitry and others},
year = {2026},
journal = {bioRxiv},
doi = {10.64898/2026.06.02.729493},
url = {https://www.biorxiv.org/content/10.64898/2026.06.02.729493v1}
}