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Nucleic Acids Research· 2026Q1

ArthroVerse: mapping protein family diversity across arthropod-associated microbiomes

Iro N Chasapi, Eleni Aplakidou, Maria N Chasapi, Efthimia Lamari et al.

Short summary

ArthroVerse is the first comprehensive database of protein families from arthropod-associated metagenomes, integrating microbial taxonomy, host associations, and structural information.

AI-generated from the title and abstract; the full text is not read.

Key points

  • ArthroVerse is a new database compiling protein families from arthropod-associated metagenomes.
  • It integrates microbial taxonomy, host associations, and protein structural information.
  • The database includes predictions for carbohydrate-active enzymes.
  • It combines data from both metagenomic and reference genome sources.

AI-generated from the title and abstract; the full text is not read.

Abstract

Metagenomic studies of arthropod-associated microbiomes have generated vast amounts of sequence data, yet the functional and structural organization of these proteins remains largely unexplored. Here, we present ArthroVerse, the first comprehensive database of protein families derived from arthropod-associated metagenomes. Non-redundant protein families were generated after rigorous filtering, deduplication, and clustering. The protein families were further annotated with microbial taxonomy, host associations, protein structural information, and carbohydrate-active enzymes predictions. The resulting dataset integrates both metagenomic and reference genome-derived proteins, enabling systematic exploration of functional diversity, evolutionary relationships, and host-microbe interactions in insect microbiomes. ArthroVerse provides a valuable resource for the study of microbial ecology and arthropod physiology, offering unprecedented insight into the protein landscape of insect-associated microbial communities. ArthroVerse is publicly accessible at https://envofams.org/arthroverse/.

The authors' abstract, as published at the source. Nucleic Acids Research, 2026 · DOI ↗

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Field: Insect Science

Insect ScienceAgricultural and Biological Sciences