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Chromosome-level reference genome of the European wasp spiderArgiope bruennichi: a resource for studies on range expansion and evolutionary adaptation

Authors :
Rosemary G. Gillespie
Gabriele Uhl
Andreas W. Kuss
Henrik Krehenwinkel
Lars Riff Jensen
Monica M. Sheffer
Corinna Jensen
Katharina J. Hoff
Stefan Prost
Anica Hoppe
Source :
GigaScience, vol 10, iss 1, GigaScience
Publication Year :
2021
Publisher :
Oxford University Press (OUP), 2021.

Abstract

BackgroundArgiope bruennichi, the European wasp spider, has been investigated intensively as a focal species for studies on sexual selection, chemical communication, and the dynamics of rapid range expansion at a behavioral and genetic level. However, the lack of a reference genome has limited insights into the genetic basis for these phenomena. Therefore, we assembled a high-quality chromosome-level reference genome of the European wasp spider as a tool for more in-depth future studies.FindingsWe generated, de novo, a 1.67 Gb genome assembly of A. bruennichi using 21.8× Pacific Biosciences sequencing, polished with 19.8× Illumina paired-end sequencing data, and proximity ligation (Hi-C)-based scaffolding. This resulted in an N50 scaffold size of 124 Mb and an N50 contig size of 288 kb. We found 98.4% of the genome to be contained in 13 scaffolds, fitting the expected number of chromosomes (n = 13). Analyses showed the presence of 91.1% of complete arthropod BUSCOs, indicating a high-quality assembly.ConclusionsWe present the first chromosome-level genome assembly in the order Araneae. With this genomic resource, we open the door for more precise and informative studies on evolution and adaptation not only in A. bruennichi but also in arachnids overall, shedding light on questions such as the genomic architecture of traits, whole-genome duplication, and the genomic mechanisms behind silk and venom evolution.

Details

ISSN :
2047217X
Volume :
10
Database :
OpenAIRE
Journal :
GigaScience
Accession number :
edsair.doi.dedup.....9d1cca7ac093baee138a9cb9c71b7843
Full Text :
https://doi.org/10.1093/gigascience/giaa148