Biology subjects

Jerry, D. R.

Publications and source records attributed to Jerry, D. R..

3 recordsLinked to original sources

bioRxiv2026

Genetic parameters and genotype-by-diet interactions forgrowth traits in Australian black soldier fly larvae: Implicationsfor selective breeding in the circular bioeconomy

Black soldier fly larvae (Hermetia illucens, Diptera: Stratiomyidae; BSFL) efficiently bio- convert organic waste into high-value protein, which has significant potential in domesticated animal feed formulations. BSFL growth and bioconversion potential can be enhanced through selective breeding, which requires accurate estimates of genetic parameters and knowledge of genotype-by-diet (G x D) interactions. However, comprehensive knowledge of G x D interactions is limited, and reports of genetic parameters are sparse across genetic strains and production environments globally. This study estimated heritabilities, dominance effects and genetic correlations for BSFL growth traits and quantified G x D interactions. Phenotypes of 2,097 fifth-instar larvae reared on three diets were recorded, including larval body weight (LBW), length (LL), width (LW), and surface area (LSA). All larvae were genotyped using a custom 6K Allegro SNP panel. Genetic parameters and G x D interactions were estimated by fitting additive and additive-dominance models. Heritabilities for growth traits were low across diets (0.04-0.14), with diet-specific estimates ranging from low to moderate (0.08-0.37). Dominance effects were significant across the traits (0.10-0.19), and genetic correlations were high among growth traits (>0.79), except between LW and LL (0.47). G x D interactions were moderate across diets (-0.06-0.46). Results suggest that moderate to high genetic gain is achievable over a long-term breeding program, given the genetic basis of growth traits and BSF's short generation interval (38-45 days). However, G x D interactions must be considered, either through combined or diet-specific selection strategies, and the significant dominance effects suggest heterosis could accelerate improvement.

genetics↗

bioRxiv2020

Novel allergen discovery through comprehensive de novo transcriptomic analyses of 5 shrimp species

Shellfish allergy affects up to 2% of the worlds population and persists for life in most patients. The diagnosis of a shellfish allergy, in particular shrimp, is however often challenging due to the similarity of allergenic proteins in other invertebrates. Despite the clinical importance, the complete allergen repertoire of allergy-causing shrimps remains unclear. Here we mine the complete transcriptome of five frequently consumed shrimp species to identify and compare allergens with all known allergen sources. The transcriptomes were assembled de novo from raw RNA-Seq data of the whiteleg shrimp (Litopenaeus vannamei), black tiger shrimp (Penaeus monodon), banana shrimp (Fenneropenaeus merguiensis), king shrimp (Melicertus latisulcatus), and endeavour shrimp (Metapenaeus endeavouri). Trinity was used to assemble the transcriptome, and Transrate and BUSCO applied to verify the assembly. Blast search with the two major allergen databases, WHO/IUIS Allergen Nomenclature and AllergenOnline, successfully identified all seven known crustacean allergens. Salmon was utilised to measure their relative abundance, demonstrating sarcoplasmic calcium-binding protein, arginine kinase and myosin light chain as highly abundant allergens. In addition, the analyses revealed up to 40 unreported allergens in different shrimp species, including heat shock protein (HSP), alpha-tubulin, chymotrypsin, cyclophilin, beta-enolase, aldolase A, and glyceraldehyde-3-phosphate dehydrogenase (G3PD). Multiple sequence alignment, conducted in Jalview 2.1 with Clustal Omega, demonstrated high homology with allergens from other invertebrates including mites and cockroaches. This first transcriptomic analyses of allergens in a major food source provides a valuable genomic resource for investigating shellfish allergens, comparing invertebrate allergens and developing improved diagnostics and novel immunotherapeutics for food allergy.

bioinformatics↗

bioRxiv2018

De novo assembly, characterization, functional annotation and expression patterns of the black tiger shrimp (Penaeus monodon) transcriptome

The black tiger shrimp (Penaeus monodon) remains the second most widely cultured shrimp species globally. However, issues with disease and domestication have seen production levels stagnate over the past two decades. To help identify innovative solutions needed to resolve bottlenecks hampering the culture of this species, it is important to generate genetic and genomic resources. Towards this aim, we have produced the most complete publicly available P. monodon transcriptome database to date. The assembly was carried out in multiple assemblers using 2x125 bp HiSeq data from PolyA selected, ribo-depleted RNA extracted from nine adult tissues and eight early life-history stages. In total, approximately 700 million high-quality sequence reads were obtained and assembled into 236,388 clusters. These were then further segregated into 99,203 adult tissue specific clusters, and 58,678 early life-history stage specific clusters. The final transcriptome had a high TransRate score of 0.37, with 88% of all reads successfully mapping back to the transcriptome. BUSCO statistics showed the assembly to be highly complete with low fragmentation, few genes missing, but higher redundancy or transcript duplication (Complete: 98.2% (Duplicated: 51.3%), Fragmented: 0.8%, Missing: 1.0%), and to greatly exceed the completeness of existing P. monodon transcriptomes. While annotation rates were low (approximately 30%), as is typical for a non-model organisms, annotated transcript clusters were successfully mapped to several hundred functional KEGG pathways. To help address the lack of annotation, transcripts were clustered into groups within tissues and early life-history stages, providing initial evidence for their roles in specific tissue functions, or developmental transitions. Additionally, transcripts of shrimp viruses previously not known to occur in Australia were also discovered. We expect the transcriptome to provide an essential resource to investigate the molecular basis of commercially relevant-significant traits in P. monodon and other shrimp species.

molecular biology↗