Sign in
GenomicsbioRxiv
Preprint

High-resolution chromosome-level genome provides molecular insights into adaptive evolution in crabs

Yin ZhangiD, Ye Yuan, Meng‐Qian ZhangiD, Xiaoyan YuiD, Bixun Qiu, Fangchun Wu, Douglas Redford TocheriD, Jiajia ZhangiD, Shaopan YeiD, Wenxiao CuiiD, Jonathan Y.S. LeungiD, Mhd IkhwanuddiniD, Waqas Waqas, Tariq DildariD, Hongyu MaiD

Abstract

Crabs thrive in diverse ecosystems, from coral reefs to hydrothermal vents and terrestrial habitats. Here, we report a comprehensive genomic analysis of the mud crab using ultralong sequencing technologies, achieving a high-quality chromosome-level assembly. The refined 1.21 Gb genome, with an impressive contig N50 of 11.45 Mb, offers a valuable genomic resource. Gene family analysis shows expansion in development-related pathways and contraction in metabolic pathways, indicating niche adaptations. Notably, Investigation into Hox gene regulation sheds light on their role in pleopod development, with the Abd-A gene identified as a linchpin. Posttranscriptional regulation involving novel-miR1317 negatively regulates Abd-A levels. Furthermore, the fru genes potential role in ovarian development and the identification of novel-miRNA-35 as a regulator of Spfru2 add complexity to gene regulatory networks. Comparative functional analysis across Decapoda species reveals neofunctionalization of the elovl6 gene in the synthesis of long-chain polyunsaturated fatty acids (LC-PUFA), suggesting its importance in environmental adaptation. These findings contribute significantly to our understanding of crab adaptability and evolutionary dynamics, offering a robust foundation for future investigations.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISWang '25Krishnan '25Watson-Zink '24Wolfe '22Fan '24Li '22
56% semantic matchGenomics
Jun Wang, Xin Hou, Xiaowen Chen+5 more·Genomics Proteomics & Bioinformatics·Sep 15, 2025· 1 citations