Genome characterization and phylogenetic analysis of scale drop disease virus isolated from Asian seabass (Lates calcarifer)
Scale drop disease virus (SDDV), a double-stranded DNA virus in the family Iridoviridae, has been reported widely in southeast Asian countries as a causative agent of scale drop syndrome (SDS) in Asian seabass. SDS has resulted in high mortality and significant economic losses to the aquaculture ind...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Multidisciplinary Digital Publishing Institute
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/117728/ http://psasir.upm.edu.my/id/eprint/117728/1/117728.pdf |
| _version_ | 1848867325008150528 |
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| author | Chokmangmeepisarn, Putita Azmai, Mohammad Noor Amal Domingos, Jose A. van Aerle, Ronny Bass, David Prukbenjakul, Pochara Senapin, Saengchan Rodkhum, Channarong |
| author_facet | Chokmangmeepisarn, Putita Azmai, Mohammad Noor Amal Domingos, Jose A. van Aerle, Ronny Bass, David Prukbenjakul, Pochara Senapin, Saengchan Rodkhum, Channarong |
| author_sort | Chokmangmeepisarn, Putita |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Scale drop disease virus (SDDV), a double-stranded DNA virus in the family Iridoviridae, has been reported widely in southeast Asian countries as a causative agent of scale drop syndrome (SDS) in Asian seabass. SDS has resulted in high mortality and significant economic losses to the aquaculture industry. This study demonstrated the use of metagenomic methods to investigate bacterial and viral communities present in infected fish tissues and recover a complete genome of the causative agent named SDDV TH7_2019. Characterization of the TH7_2019 genome revealed a genome size of 131 kb with 134 putative ORFs encoding viral proteins potentially associated with host apoptosis manipulation. A comparative genome analysis showed a high degree of amino acid identity across SDDV strains, with variations in number of repeat sequences and mutations within core genes. Phylogenetic analyses indicate a close relationship among SDDV genomes. This research enhances our understanding of the genetic diversity and evolutionary relationship of SDDV, contributing valuable insights for further development of effective control strategies of SDDV. |
| first_indexed | 2025-11-15T14:34:42Z |
| format | Article |
| id | upm-117728 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T14:34:42Z |
| publishDate | 2024 |
| publisher | Multidisciplinary Digital Publishing Institute |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1177282025-06-11T02:11:07Z http://psasir.upm.edu.my/id/eprint/117728/ Genome characterization and phylogenetic analysis of scale drop disease virus isolated from Asian seabass (Lates calcarifer) Chokmangmeepisarn, Putita Azmai, Mohammad Noor Amal Domingos, Jose A. van Aerle, Ronny Bass, David Prukbenjakul, Pochara Senapin, Saengchan Rodkhum, Channarong Scale drop disease virus (SDDV), a double-stranded DNA virus in the family Iridoviridae, has been reported widely in southeast Asian countries as a causative agent of scale drop syndrome (SDS) in Asian seabass. SDS has resulted in high mortality and significant economic losses to the aquaculture industry. This study demonstrated the use of metagenomic methods to investigate bacterial and viral communities present in infected fish tissues and recover a complete genome of the causative agent named SDDV TH7_2019. Characterization of the TH7_2019 genome revealed a genome size of 131 kb with 134 putative ORFs encoding viral proteins potentially associated with host apoptosis manipulation. A comparative genome analysis showed a high degree of amino acid identity across SDDV strains, with variations in number of repeat sequences and mutations within core genes. Phylogenetic analyses indicate a close relationship among SDDV genomes. This research enhances our understanding of the genetic diversity and evolutionary relationship of SDDV, contributing valuable insights for further development of effective control strategies of SDDV. Multidisciplinary Digital Publishing Institute 2024-07-18 Article PeerReviewed text en cc_by_4 http://psasir.upm.edu.my/id/eprint/117728/1/117728.pdf Chokmangmeepisarn, Putita and Azmai, Mohammad Noor Amal and Domingos, Jose A. and van Aerle, Ronny and Bass, David and Prukbenjakul, Pochara and Senapin, Saengchan and Rodkhum, Channarong (2024) Genome characterization and phylogenetic analysis of scale drop disease virus isolated from Asian seabass (Lates calcarifer). Animals, 14 (14). art. no. 2097. pp. 1-19. ISSN 2076-2615 https://www.mdpi.com/2076-2615/14/14/2097 10.3390/ani14142097 |
| spellingShingle | Chokmangmeepisarn, Putita Azmai, Mohammad Noor Amal Domingos, Jose A. van Aerle, Ronny Bass, David Prukbenjakul, Pochara Senapin, Saengchan Rodkhum, Channarong Genome characterization and phylogenetic analysis of scale drop disease virus isolated from Asian seabass (Lates calcarifer) |
| title | Genome characterization and phylogenetic analysis of scale drop disease virus isolated from Asian seabass (Lates calcarifer) |
| title_full | Genome characterization and phylogenetic analysis of scale drop disease virus isolated from Asian seabass (Lates calcarifer) |
| title_fullStr | Genome characterization and phylogenetic analysis of scale drop disease virus isolated from Asian seabass (Lates calcarifer) |
| title_full_unstemmed | Genome characterization and phylogenetic analysis of scale drop disease virus isolated from Asian seabass (Lates calcarifer) |
| title_short | Genome characterization and phylogenetic analysis of scale drop disease virus isolated from Asian seabass (Lates calcarifer) |
| title_sort | genome characterization and phylogenetic analysis of scale drop disease virus isolated from asian seabass (lates calcarifer) |
| url | http://psasir.upm.edu.my/id/eprint/117728/ http://psasir.upm.edu.my/id/eprint/117728/ http://psasir.upm.edu.my/id/eprint/117728/ http://psasir.upm.edu.my/id/eprint/117728/1/117728.pdf |