2021
DOI: 10.1007/s00705-021-05207-7
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Molecular evidence for homologous strains of infectious spleen and kidney necrosis virus (ISKNV) genotype I infecting inland freshwater cultured Asian sea bass (Lates calcarifer) in Thailand

Abstract: Infectious spleen and kidney necrosis virus (ISKNV) is the sh pathogenic virus belonging to the genus Megalocytivirus of the family Iridoviridae. In 2018, disease occurrences (40-50% cumulative mortality) associated with ISKNV infection have been reported in grown-out Asian sea bass (Lates calcarifer) cultured in the inland freshwater system in Thailand. Clinical samples were collected from seven distinct farms located in the eastern and central regions of Thailand. The moribund sh showed various abnormal sign… Show more

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Cited by 9 publications
(3 citation statements)
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“…Even with advanced methods for identifying intra-host SNVs (iSNVs), the false discovery rate of iSNVs using Oxford Nanopore data alone was ~55% in a rapidly evolving RNA virus, and is expected to be higher in viruses that evolve more slowly, such as ISKNV. In studies where quantification of iSNVs is required, replicated Illumina sequencing libraries per sample, combined with Nanopore data, is recommended for accurate quantification of iSNVs [43][44][45][46][47]. The increased costs and loss of field-based sequencing of this approach would need to be weighed against the likelihood and importance of detecting intra-host variability.…”
Section: Discussionmentioning
confidence: 99%
“…Even with advanced methods for identifying intra-host SNVs (iSNVs), the false discovery rate of iSNVs using Oxford Nanopore data alone was ~55% in a rapidly evolving RNA virus, and is expected to be higher in viruses that evolve more slowly, such as ISKNV. In studies where quantification of iSNVs is required, replicated Illumina sequencing libraries per sample, combined with Nanopore data, is recommended for accurate quantification of iSNVs [43][44][45][46][47]. The increased costs and loss of field-based sequencing of this approach would need to be weighed against the likelihood and importance of detecting intra-host variability.…”
Section: Discussionmentioning
confidence: 99%
“…Prior to this study, 23 fully sequenced ISKNV genomes were available in the NCBI GenBank database (Ao & Chen, 2006;Do et al, 2004;He et al, 2001;Kawato et al, 2020;Kerddee et al, 2021;Koda et al, 2018Koda et al, , 2019Koda et al, , 2021Kurita et al, 2002;Lu et al, 2005 F I G U R E 2 MAFFT alignment of 31 sequences based on the 137 bp region of the myristylated membrane protein gene (primers excluded). Each sequence name is followed by the associated GenBank accession number except for the eight Banggai cardinalfish cases from this study.…”
Section: Discussionmentioning
confidence: 99%
“…Prior to this study, 23 fully sequenced ISKNV genomes were available in the NCBI GenBank database (Ao & Chen, 2006; Do et al, 2004; He et al, 2001; Kawato et al, 2020; Kerddee et al, 2021; Koda et al, 2018, 2019, 2021; Kurita et al, 2002; Lu et al, 2005; Matsuyama et al, 2018; Puneeth et al, 2021; Shi et al, 2010; Shiu et al, 2018; Wen & Hong, 2016; Zhang et al, 2013). Eight ISKNV‐C1G genomes have been determined from infected mandarinfish Siniperca chauatsi from China (He et al, 2001), red seabream Pagrus major from Taiwan (Shiu et al, 2018), freshwater angelfish Pterophyllum scalare from Singapore (Kawato et al, 2020), barramundi from Thailand (Kerddee et al, 2021), freshwater albino rainbow sharks Epalzeorhynchos frenatum from the United States (Koda et al, 2021) and Banggai cardinalfish from the United States (BCIV‐2017; this study). The BCIV‐2012 genome from infected Banggai cardinalfish in the United States (this study) represents the earliest ISKNV‐C2G genome to be determined (Table 2).…”
Section: Discussionmentioning
confidence: 99%