Dataset
A Draft Male Genome Assembly of the Slipper Lobster (Thenus australiensis) Reveals an XY System and a Validated Diagnostic Marker for Monosex Aquaculture
Figshare
Digital Science
2026
Abstract
The slipper lobster (Thenus australiensis) is rapidly emerging as a high-potential species for commercial aquaculture. Because females exhibit superior growth characteristics due to less frequent moulting after sexual maturity, developing monosex breeding strategies is highly desirable for industry profitability. However, the lack of genomic resources and early sex-identification tools has hindered this development. Here, we report the first draft male genome assembly for T. australiensis, generated using a combination of whole-genome shotgun sequencing, DArT-seq, and multi-tissue transcriptomics. The curated assembly spans 0.913 Gbp with high functional completeness (93.0% BUSCO), providing a robust repertoire of 30,100 protein-coding genes. Through k-mer subtraction and population-level DArT-seq genotyping, we provide definitive evidence that T. australiensis utilizes an XX/XY sex-determination system. Crucially, by identifying male-specific structural variations within a neo-Y locus, we developed a diagnostic PCR assay targeting a male-exclusive sequence. This 171 bp marker achieved 100% accuracy in phenotypic sex identification across wild-caught populations. Ultimately, these foundational genomic resources, combined with a highly reliable molecular sexing tool, provide the critical framework necessary for early sex sorting, broodstock management, and the commercial advancement of monosex slipper lobster farming.
Details
- Title
- A Draft Male Genome Assembly of the Slipper Lobster (Thenus australiensis) Reveals an XY System and a Validated Diagnostic Marker for Monosex Aquaculture
- Authors
- Gia-Huy Ha (Data Collector)Hang Tran (Data Collector)Duc-Phuc Tran (Data Collector)N T Le (Data Collector)Susan Glendinning (Data Collector)Quinn Fitzgibbon (Data Collector) - University of TasmaniaGregory Smith (Data Collector) - University of TasmaniaVolker Herzig (Data Collector)Phuc-Loi Luu (Data Collector)Tomer Ventura (Data Collector)
- Publication details
- Figshare
- Format
- Total: 956 MB
- Publisher
- Digital Science
- Date published
- 2026
- DOI
- 10.6084/m9.figshare.32597610
- Organisation Unit
- School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 991242599102621
- Output Type
- Dataset
Metrics
1 Record Views