Insight into the adaptive role of arachnid genome-wide duplication through chromosome-level genome assembly of the Western black widow spider.

Latrodectus hesperus araneoid development ohnolog sensory perception sex chromosomes

Journal

The Journal of heredity
ISSN: 1465-7333
Titre abrégé: J Hered
Pays: United States
ID NLM: 0375373

Informations de publication

Date de publication:
20 Mar 2024
Historique:
received: 01 12 2023
revised: 22 02 2024
accepted: 19 03 2024
medline: 3 4 2024
pubmed: 3 4 2024
entrez: 3 4 2024
Statut: aheadofprint

Résumé

Although spiders are one of the most diverse groups of arthropods, the genetic architecture of their evolutionary adaptations is largely unknown. Specifically, ancient genome-wide duplication occurring during arachnid evolution ~450 mya resulted in a vast assembly of gene families, yet the extent to which selection has shaped this variation is understudied. To aid in comparative genome sequence analyses, we provide a chromosome-level genome of the Western black widow spider (Latrodectus hesperus)-a focus due to its silk properties, venom applications, and as a model for urban adaptation. We used long-read and Hi-C sequencing data, combined with transcriptomes, to assemble 14 chromosomes in a 1.46 Gb genome, with 38,393 genes annotated, and a BUSCO score of 95.3%. Our analyses identified high repetitive gene content and heterozygosity, consistent with other spider genomes, which has led to challenges in genome characterization. Our comparative evolutionary analyses of eight genomes available for species within the Araneoidea group (orb weavers and their descendants) identified 1,827 single-copy orthologs. Of these, 155 exhibit significant positive selection primarily associated with developmental genes, and with traits linked to sensory perception. These results support the hypothesis that several traits unique to spiders emerged from the adaptive evolution of ohnologs-or retained ancestrally duplicated genes-from ancient genome-wide duplication. These comparative spider genome analyses can serve as a model to understand how positive selection continually shapes ancestral duplications in generating novel traits today within and between diverse taxonomic groups.

Identifiants

pubmed: 38567866
pii: 7632606
doi: 10.1093/jhered/esae018
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Virginia Commonwealth University
Organisme : University at Buffalo

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of The American Genetic Association. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Lindsay S Miles (LS)

Center for Biological Data Science, Virginia Commonwealth University, Richmond, VA, United States.
Department of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States.

Hannah Waterman (H)

Department of Biological Sciences and Research and Education in Energy, Environment, and Water Institute, University at Buffalo, Buffalo, NY, United States.

Nadia A Ayoub (NA)

Department of Biology, Washington and Lee University, Lexington, VA, United States.

Jessica E Garb (JE)

Department of Biological Sciences, University of Massachusetts Lowell, Lowell, MA, United States.

Robert A Haney (RA)

Department of Biology, Ball State University, Muncie, IN, United States.

Michael S Rosenberg (MS)

Center for Biological Data Science, Virginia Commonwealth University, Richmond, VA, United States.

Trevor J Krabbenhoft (TJ)

Department of Biological Sciences and Research and Education in Energy, Environment, and Water Institute, University at Buffalo, Buffalo, NY, United States.

Brian C Verrelli (BC)

Center for Biological Data Science, Virginia Commonwealth University, Richmond, VA, United States.

Classifications MeSH