Genomic prediction of scale drop disease resistance in barramundi Lates calcarifer under controlled laboratory conditions
1
Issued Date
2026-01-15
Resource Type
ISSN
00448486
Scopus ID
2-s2.0-105017179016
Journal Title
Aquaculture
Volume
612
Rights Holder(s)
SCOPUS
Bibliographic Citation
Aquaculture Vol.612 (2026)
Suggested Citation
Poon Z.W.J., Vu N.T., Shen X., Gibson-Kueh S., Carrai M., Nelson S.P., Terence C., Tan Y.Q., Awate S., Dong H.T., Senapin S., Tan M.R., Vij S., Jones D.B., Jerry D.R., Domingos J.A. Genomic prediction of scale drop disease resistance in barramundi Lates calcarifer under controlled laboratory conditions. Aquaculture Vol.612 (2026). doi:10.1016/j.aquaculture.2025.743250 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/114746
Title
Genomic prediction of scale drop disease resistance in barramundi Lates calcarifer under controlled laboratory conditions
Corresponding Author(s)
Other Contributor(s)
Abstract
Barramundi (Lates calcarifer) is a tropical aquaculture species principally farmed across Southeast Asia and Australia. However, outbreaks of scale drop disease virus (SDDV) have caused substantial economic losses due to mass mortalities of 40 % to 90 % on farms in Singapore. While vaccines against SDDV are under development, selective breeding for resistance offers a promising avenue for long term disease management. Although moderate heritability against SDDV has been observed in farm environments, the development of controlled laboratory studies, free of interference from external factors and co-infections, is necessary to provide a clearer understanding of genetic resistance and accelerate the development of SDDV-resistant barramundi strains. This study established a laboratory infection model for juvenile barramundi to determine the appropriate SDDV dose via intraperitoneal injections required to induce approximately 50 % mortality over 21 days. Subsequently, two challenge trials involving 654 (80.1 ± 16.1 g) and 705 (68.6 ± 12.0 g) juveniles were conducted under controlled conditions in a single 6000 L recirculating aquaculture system, with survival rates of 5.8 % and 34.2 % respectively. Three SDDV resistant traits were assessed: survival time (days survived), survival status (alive or dead at day 21), and survival 50 % (alive or dead on the day closest to 50 % survival). Genomic prediction models were developed using GBLUP and bayesR approaches based on ∼48 k SNPs from a 70 K barramundi SNP Array. Heritability estimates ranged from 0.16 to 0.42 for survival time, 0.06 to 0.33 for survival status, and 0.26 to 0.35 for survival 50 %. Prediction accuracies were high across traits, from 0.75 to 0.91 for survival time, 0.51 to 0.63 for survival status, and 0.72 to 0.90 for survival 50 %, confirming the feasibility of genomic selection for developing SDDV-resistant barramundi lines. These findings provide a strong foundation for integrating disease resistance into selective breeding programmes, offering a strategy to mitigate SDDV-related losses and strengthening the resilience of barramundi aquaculture.