AnnelidaDB: a comprehensive platform of taxonomic and multi-omic resources across annelids

Annelids inhabit marine, freshwater, and terrestrial ecosystems and are important models for studying animal evolution, regeneration, and host-microbe interactions, yet their rapidly growing omics resources remain dispersed across repositories and publications. We developed AnnelidaDB (www.annelidadb.com), a species-centred database built on an updated phylogenetic framework that integrates genomes, mitochondrial genomes, transcriptomes, proteomes, epigenomes, single-cell datasets, host-associated symbiont genomes, and comparative synteny for Annelida. The current release covers 1121 species, including 152 species with nuclear genomes, 177 with mitochondrial genomes, 591 with transcriptome data, 5 with single-cell datasets comprising 209 802 cells, and 30 bacterial symbiont genomes. AnnelidaDB organizes these resources through 10 navigation directories and connects species, genome, gene, functional annotation, and gene-family records. Users can browse genomic assemblies, explore interactive single-cell atlases and 12 200 precomputed Oxford plots, run BLAST queries and search genes against the annelid-specific database, and submit chromosome-level data for syntenic analysis against 20 Annelida linkage groups. Sequences, annotations, and private results are available for download. As a comprehensive multi-omics resource dedicated to annelids, AnnelidaDB provides an accessible platform for comparative investigations of annelid genome evolution, adaptation, regeneration, and symbiosis.

Authors

Institutions

Publication Details

Journal
Nucleic Acids Research
Published
2026-10-31
DOI
https://doi.org/10.1093/nar/gkag1087
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AnnelidaDB: a comprehensive platform of taxonomic and multi-omic resources across annelids

Greg W. Rouse, José María Martín-Durán, Maëva Perez, Peiyuan Qian et al.
Nucleic Acids Research
Genomics and Phylogenetic Studies
article

AnnelidaDB: a comprehensive platform of taxonomic and multi-omic resources across annelids

Greg W. Rouse, José María Martín-Durán, Maëva Perez, Peiyuan Qian, Jian‐Wen Qiu, Yanan Sun, Yunlong Li, Jianliang Xu, Zihui Shen, Haokun Liu, Fan Hui, Yi-Xuan Li, Xike Xie
article en

Abstract

Annelids inhabit marine, freshwater, and terrestrial ecosystems and are important models for studying animal evolution, regeneration, and host-microbe interactions, yet their rapidly growing omics resources remain dispersed across repositories and publications. We developed AnnelidaDB (www.annelidadb.com), a species-centred database built on an updated phylogenetic framework that integrates genomes, mitochondrial genomes, transcriptomes, proteomes, epigenomes, single-cell datasets, host-associated symbiont genomes, and comparative synteny for Annelida. The current release covers 1121 species, including 152 species with nuclear genomes, 177 with mitochondrial genomes, 591 with transcriptome data, 5 with single-cell datasets comprising 209 802 cells, and 30 bacterial symbiont genomes. AnnelidaDB organizes these resources through 10 navigation directories and connects species, genome, gene, functional annotation, and gene-family records. Users can browse genomic assemblies, explore interactive single-cell atlases and 12 200 precomputed Oxford plots, run BLAST queries and search genes against the annelid-specific database, and submit chromosome-level data for syntenic analysis against 20 Annelida linkage groups. Sequences, annotations, and private results are available for download. As a comprehensive multi-omics resource dedicated to annelids, AnnelidaDB provides an accessible platform for comparative investigations of annelid genome evolution, adaptation, regeneration, and symbiosis.

Nucleic Acids Research
University of Science and Technology of China (CN), Hong Kong Baptist University (HK), Scripps Institution of Oceanography (US), Queen Mary University of London (GB), Chinese Academy of Sciences (CN), Hong Kong University of Science and Technology (HK), University of California San Diego (US), Institute of Oceanology (CN), Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (CN), University of Hong Kong (HK)
Openalex Percentile: Top 22%
Genomics and Phylogenetic Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon