Literature DB >> 31131427

Global distribution of white spot syndrome virus genotypes determined using a novel genotyping assay.

J Oakey1, C Smith2, D Underwood2, M Afsharnasab3, V Alday-Sanz4, A Dhar5, S Sivakumar6, A S Sahul Hameed6, K Beattie7, A Crook7.   

Abstract

White spot disease, caused by infection with white spot syndrome virus (WSSV), is a serious panzootic affecting prawn aquaculture. The disease has spread rapidly around the prawn-culturing regions of the world through a number of previously identified mechanisms. The ability to distinguish and trace strains of WSSV is of great benefit to identify, and then limit, the translocation routes of the disease. Here, we describe a novel genotyping method using 34 short tandem repeat regions of the viral genome concurrently. This technique is highly sensitive to strain differences when compared to previous methods. The efficacy of the described method is demonstrated by testing WSSV isolates from around the globe, showing regional genotypic differences. The differences in the genotypes were used to create a global minimum spanning network, and in most cases the observed relationships were substantiated with verification of transboundary movement. This novel panel of STR markers will provide a valuable epidemiological tool for white spot disease. We have applied this to an outbreak of the disease in Queensland, Australia, that occurred in 2016. While the results indicate that the source of this outbreak currently remains cryptic, the analyses have provided valuable insights with which to further study the origins of the strains involved.

Entities:  

Mesh:

Year:  2019        PMID: 31131427      PMCID: PMC6591196          DOI: 10.1007/s00705-019-04265-2

Source DB:  PubMed          Journal:  Arch Virol        ISSN: 0304-8608            Impact factor:   2.574


Introduction

White spot disease (WSD) is a serious panzootic affecting prawn aquaculture. The disease is caused by white spot syndrome virus (WSSV), a large double-stranded circular DNA virus and currently the only member of the genus Whispovirus and family Nimaviridae [1]. In intensive aquaculture systems, mortality can be rapid (3-10 days) and occurs at a rate of up to 100% [2, 3]. The economic cost of the disease on the prawn aquaculture industry worldwide has been estimated at up to US$15 billion since the emergence and initial spread of the disease, increasing at a rate of US$1 billion annually, equating to approximately 10% of global prawn production [4]. The first reports of white spot disease in penaeids were in mainland China and Taiwan in 1992 [2, 5, 6]. By the end of the decade, the disease had spread to Korea [7], Japan [8, 9], and throughout South-East Asia (Vietnam, Thailand, Malaysia, Indonesia) and India [10, 11]. This rapid proliferation of the disease was most likely through transboundary movement of infected animals. In the 1990s the disease was reported also in United States of America [12] and by 1999 WSSV was detected in Central and South America. WSSV was found in wild prawns in retrospective analysis by in situ hybridisation of histology samples from Ecuador from 1996, prior to disease reported in 1999 [13]. In 2001, WSSV was reported also in prawn farms of Khuzestan on the northern Persian Gulf coast in Iran and over several other Iranian provinces over the next decade [14]. In 2010, WSSV was observed in Saudi Arabia, greatly affecting the Penaeus indicus industry until 2013, when the industry was replaced with specific-pathogen-free (SPF) and specific-pathogen-tolerant (SPT) Penaeus (Litopenaeus) vannamei and the disease was considered eradicated [15]. By 2012, WSSV was reported to be endemic in wild penaeids from the coast of Iraq [16]. In addition, there have been incursions of the disease to other prawn-farming regions of the world where containment and biosecurity measures have resulted in reports of eradication or subsequent low levels of sporadic disease, including Spain, Mozambique and Madagascar [11]. Transmission to wild crustaceans was observed in Darwin (Northern Territory, Australia) in 1999 following inadvertent feeding of imported prawns to crustaceans in a research facility that discharged water into Darwin Harbour. The harbour and surrounding waters were declared free of WSSV in 2000, and it was considered that the infection was at a sufficiently low level as to be unsustainable [17]. In November 2016, WSSV was identified following the onset of disease in a prawn farm near Brisbane, Queensland, Australia. Previously, white spot disease had not been diagnosed in Australian prawn farms, and Australia was considered to be free of the virus (despite the aforementioned Darwin incident). The disease showed rapid spread and high mortalities, affecting seven farms by February 2017. A low number of wild-caught crustaceans in the adjacent Logan River and in Moreton Bay also tested positive for the virus. In 2018, a large surveillance program of wild crustaceans in Moreton Bay detected considerable numbers of test-positive animals in the north of Moreton Bay, but not in the south near the mouth of the Logan River (K. Beattie, personal observation). The prawn farming industry in Queensland is valued at approximately AU$87 million annually (http://www.daf.qld.gov.au), and the potential impact of establishment of endemic white spot disease would be severe. Hence, an important factor within the incursion investigation is the epidemiological analysis of the source, the patterns and the movement of the virus based upon strain identification and differentiation. The data are used to shape biosecurity decisions and inform risk analysis to help prevent future incursions of this and other exotic penaeid pathogens. We recently published the whole genome sequence of WSSV-AU [18], the virus detected in a sample from the first Queensland property identified as infected with white spot disease. Analysis of the genome for genomic markers previously reported by Marks et al. (2004) [19] to show variation among WSSV strains was unable to associate the virus in South East Queensland with any previously reported genotype. The differing types of the loci hindered cumulative analysis or testing of high sample numbers, and the complexity of the markers limited their utility as a large-scale epidemiological tool. Although the scientific literature contains many reports from endemic regions with local studies using only one or a few of these markers, these were of limited epidemiological use, as many alleles were reportedly common to multiple regions. It was concluded that alternative markers were required for epidemiological tracing [18]. Examination of the WSSV-AU sequence aligned with other published WSSV genome sequences showed a number of variations in copy number of triplet-base motifs (short tandem repeats, STRs) in a similar way to microsatellite polymorphism. STRs have been used frequently to identify individuals, evolutionary processes, and kinships and for population/cluster analysis in eukaryotes [20], prokaryotes [21], and some of the larger viruses [22]. The high levels of polymorphism associated with STRs, the speed of processing, and the potential to simultaneously isolate and study large numbers of loci provide a capacity for detecting comparable differences among different levels of hierarchal clustering. Here, we describe the application of 34 STRs observed in WSSV to achieve a sensitive genotyping method. Furthermore, we demonstrate the utility of the genotyping technique to discriminate WSSV strains between, within and among the principal WSSV-affected regions of the world.

Materials and methods

The alignment of the WSSV-AU sequence (MF768985) with Taiwanese (AF440570), Thai (AF369029), Chinese (AF332093) and Korean (JX515788) WSSV sequences was examined using Integrative Genome Viewer 2.3.98 [23, 24] to manually identify potential trimeric STR markers with variation in copy number in at least one of these reference sequences compared to WSSV-AU. Primers in the conserved sequence flanking these loci were designed using BatchPrimer3 [25], pre-selecting amplicon size less than 500 bp and with as much consistency in melting temperatures as possible among all primers. Notional size ranges for the loci were estimated up to a 30-base increase or decrease compared to the alleles observed in WSSV-AU, and hypothetical fragments were analysed in Multiplex Manager [26] to design a 4-dye multiplexed analysis protocol with as few reactions as possible while avoiding primer cross-reactivity or overlapping of fragments labelled with same dye, and using common primer annealing temperatures. Primers were redesigned as necessary to minimise the number of reactions needed. Subsequently, primers were commercially synthesised with the forward primer of each pair labelled with one of four fluorescent dyes compatible with the 3500xL Genetic Analyser (G5 dye set, Life Technologies, Thermo Fisher), leaving LIZ as the label of the commercially prepared size standard ladder. Primer sequences are listed in Table 1.
Table 1

STR loci and primer sequences for genotyping WSSV

LocusForward primer seq 5′-3′5′primer tailReverse seq 5′-3′Allele size range*
wsv1 TTCCATTTCTTCTCCACTATC PET TGGAGAAGGTTTGTTACCTC 171-228
wsv2 GCGAGACAGAGAAGACTAAG 6-FAM TCATCGTTTTGAATTGTGGC 362-389
wsv3 ATTTCTATGAGGATGGTTACG VIC CGTCTTCACAATCAATAACAC 146-164
wsv4 GTTTTACTGTTGGGCACTAC 6-FAM CATACAAGCTCCAGTTCCAG 162-195
wsv6 GACAACACCCCTCGTACC 6-FAM TCACTATCTGCATCCTTATTCTC 260-281
wsv7 TTAAGGGACTATAATGGCAAC 6-FAM GCACCACTGAAATGAATAAAC 374-386
wsv8 AGATGAATCAGACGAATCGG PET AGAACAAAGCAACGAAACTG 196-202
wsv10 CTTTACTTTCTTCCATGTTCG 6-FAM TAAAATTAATCCTCCCTTTCC 86-95
wsv11 CTGTGGTACCTGACTGTAATG PET AATATCGGTTTCTTCGTTATC 89-92
wsv12 GGTGATAAAGCGTTTCTGAG NED AAATACTGAACTGGCAGAGG 88-94
wsv13 CATAACTTTGATTACGGTTCC VIC AACCTCACAAAAGTGTTGAC 85-91
wsv14 TGGTAGCTTTTATCTTCAAGG NED TTGTCCGTATCTGATGTTATC 58-71
wsv15 CGCATCTTCTAGTACAGTTG VIC CAACACATTCTCCCATTCTTG 247-271
wsv16 GCTGTTGTTCTTGAGTGTTG 6-FAM AACGACAATGAATTTGATAGC 59-62
wsv17 AAGACAAAAGTGAGTTTGAGG NED TAGGTTACAGCCTACCCTTAG 118-148
wsv18 GGATTTATTCAACGGTATTTG VIC CATCTGCAATTTCCATTTC 116-136
wsv19 AAGTCTCTACCTCGAATGAAG NED TAGAAATACTTCTCCCACCAC 116-125
wsv20 AGAGAGAACATATCCCGTACC VIC CTACCTCATTCTCCTCTTCAG 129-150
wsv21 TGGGCGCATTGTTAAATTG 6-FAM TGAGTGAAGGAGGTAATGATG 286
wsv22 AATTCTCAAGAGAGGAGGAAC 6-FAM GAAGATGATTGGGATGAGG 62-68
wsv23 GTAATTTGCTGGTTTCTTACG 6-FAM TTCCATTTGTACACTTCAATG 146-152
wsv24 ATGAAGGGCTGTAGTTGTAG 6-FAM CACGGAAAATACTAGCGTTG 271-310
wsv25 ATCTCCTTCTAGCTCGGC NED GTTTGAAGTTGTTGGAGAGC 275-281
wsv26 TCAACGACGAGATTGTAGAG 6-FAM TGAAGGATCGTAAACAACCC 182-197
wsv27 CTACTAGCAGATACCGGAAG 6-FAM GGTCGTTTTCTTCATACACG 132-141
wsv28 ATAACGAGCCTGTTTCTGAG PET CGTTTTCCATTAACAGCTCC 250-253
wsv29 GGTAAAATGGGAGTACAGAAG VIC TAACAACACCCAATAACAATG 68-74
wsv30 GTGTTGCAGACTCTAAAGACC VIC CTCGTAATCAAAATCTTCCAC 263-290
wsv31 ACCCTCAACCAATATTCGTC NED AAGCCTTCAGATTTGGTACG 209-224
wsv32 CTTTGAGTCACTACAGCCAG NED TTTGGAAGAGTTGTACAGGG 176-185
wsv33 GTTTGAAAAGGTGCGAGTAG PET GGGCGTTGAATTAATCGTG 342-354
wsv34 AAGGATGCAGATAGTGACAG PET TCTCTTCTGAATCTTGGCAG 151-196
wsv35 GTGGACTCCTGATAGTGTTC VIC GGGCTCTACATCACATCATC 281-296
wsv36 GTAGGTTTGAGTTGAGGAGG 6-FAM TCCAGACAATGAAATGGGAG 112-124

*allele size range according to conditions provided by the 3500xL instrument, POP-7 polymer and 50-mm capillary array. Size shift may be experienced if alternative conditions are used

STR loci and primer sequences for genotyping WSSV *allele size range according to conditions provided by the 3500xL instrument, POP-7 polymer and 50-mm capillary array. Size shift may be experienced if alternative conditions are used DNA was extracted, using a DNeasy Blood and Tissue Kit (QIAGEN), from the same prawn used to determine the sequence of WSSV-AU. For preliminary optimisation each STR locus, amplification was performed as a monoplex using 7.5 µL of Multiplex Master Mix (QIAGEN), 2 pmol each of forward and reverse primer, 2.5 µL of DNA, and a volume balance with sterile nuclease-free water to 15 µL. Following initial denaturation at 94 °C for 15 minutes, the reactions were cycled 40 times at 94 °C for 30 seconds, at the estimated annealing temperatures of 54, 57 or 58 °C for 30 seconds, and 72 °C for 1 minute, with a single final extension at 72 °C for 10 minutes. The reaction products were resolved using 1.5% agarose gel electrophoresis. The presence or absence of single amplicons of the expected size and the observed relative intensity were used to optimise amplification of the loci with adjustments to the annealing temperature and the inclusion of Q-solution (QIAGEN) in the mix. These empirical results were used subsequently to fine-tune and optimise multiplexed reactions. The final optimised method targeted 34 loci in six PCRs with further multiplexing of the amplicons into three reactions prior to resolution. The loci in each PCR are shown in Table 2. PCR mixes consisted of 7.5 µL of Multiplex Master Mix (QIAGEN), 1.5 µL of Q solution (QIAGEN) where used, 2 pmol of each primer, 2.5 µL of DNA, and a volume balance of sterile nuclease-free water to 15 µL per reaction. Following initial denaturation at 94 °C for 15 minutes, the reactions were cycled 40 times at 94 °C for 30 seconds, at the respective annealing temperature (see Table 2) for 45 seconds and 72 °C for 45 seconds, with a single final extension at 72 °C for 10 minutes. Amplicons were diluted 1 in 50 using Milli-Q water and further multiplexed by combining PCRs 1, 2 and 3 (Read1), and PCRs 5 and 6 (Read3). Read2 consisted only of PCR4. Reads 1, 2 and 3 were resolved using fragment analysis by capillary electrophoresis with a 3500xL Genetic Analyser (Life Technologies, Thermo Fisher), with fragment sizes determined by comparison with the labelled size marker (GeneScan 600, Life Technologies, Thermo Fisher) using GeneMarker (Soft Genetics).
Table 2

Locus multiplexing and amplification conditions

PCR1PCR2PCR3PCR4PCR5PCR6
Annealing temp. °C535759545658
LociWSV8WSV4WSV3WSV1WSV24WSV2
2 pmol of each forward and reverse primer for each locus per reactionWSV12WSV7WSV16WSV6WSV31WSV17
WSV13WSV21WSV10WSV20
WSV15WSV36WSV11WSV22
WSV32WSV14WSV25
WSV18WSV26
WSV19WSV27
WSV23WSV28
WSV29WSV33
WSV30WSV34
WSV35
Q-solution (1.5 µL per reaction)YesNoNoNoNoNo
Locus multiplexing and amplification conditions The robustness of the optimised technique was tested based on consistency in fragment lengths in repeated tests of the same DNA sample, comparison of data from re-extracted DNA from the same sample, and comparison among three operators. The sensitivity was estimated through comparison with Biosecurity Sciences Laboratory’s (BSL) standard diagnostic PCR (optimised from Sritunyalucksana et al. [27] to accommodate laboratory conditions).

Samples from the Australian outbreak

The STR technique was applied to every Australian sample that tested PCR-positive for WSSV at BSL during the outbreak and surveillance in 2016-8, i.e., 462 samples, as listed in Table 3. These comprised samples from each infected farm property and from surveillance samples of the surrounding waterways and bays. High-throughput nucleic acid extraction used a MagMAX Viral Isolation Kit (Thermo Fisher Scientific) on a KingFisher™ Flex 96 magnetic particle processor (Thermo Fisher Scientific). The manufacturer’s instructions were followed, except the sample size was increased to 100 µL of homogenate, and an additional wash was included before elution.
Table 3

Sources of white spot syndrome virus DNA from Queensland, Australia

YearArea/property (letter represent farms in Logan area of Brisbane)Site/pond*Sample speciesNumberGenotype
2016A11 P. monodon 10LG1
A13 P. monodon 9LG1
B22 P. monodon 4LG1
C7 P. monodon 20LG1
C14 P. monodon 11LG1
CInlet channel P. monodon 6LG1
D1, 2 & 4 P. monodon 28LG1
E19 P. monodon 1LG1
E25 P. monodon 3LG1
A11 P. monodon 10LG1
2017EInlet channel Scylla serrata 2LG1
EInlet channel P. monodon 3LG1
EInlet channel Melicertus plebejus 1LG1
EInlet channel Scylla serrata 1LG2
EInlet channel P. monodon 3LG1
EInlet channel P. monodon 10LG1
E1 P. monodon 7LG5
E3LG1
E1 P. monodon 10LG1
E1 P. monodon 9LG1
E8 P. monodon 1LG1
E8 P. monodon 10LG1
E10 P. monodon 20LG1
E10 P. monodon 10LG1
E12 P. monodon 7LG1
E3LG6
E15 P. monodon 8LG1
E2LG5
E15 P. monodon 3LG1
E7LG5
E15 P. monodon 10LG1
E18 P. monodon 4LG1
E31 P. monodon 4LG3
E1LG7
E39 P. monodon 10LG5
E39 P. monodon 8LG5
E47 P. monodon 4LG3
E47 P. monodon 6LG3
E47 P. monodon 5LG3
E47 P. monodon 10LG3
E48 P. monodon 3LG1
E49Sand crab2LG1
E50 P. monodon 2LG1
E50 P. monodon 6LG1
E1LG7
E50 P. monodon 3LG1
E1LG4
E1LG5
E5LG7
E51 P. monodon 5LG1
E51Sand crab2LG1
E53 P. monodon 8LG1
E55 P. monodon 2LG1
E P. monodon 2LG4
E56 P. monodon 7LG1
E56 P. monodon 10LG1
E56 P. monodon 2LG1
E59 P. monodon 7LG1
ESettlement pond P. monodon 10LG1
ESettlement 2 P. monodon 3LG1
ESettlement P. monodon 10LG1
ESettlement 7 P. monodon 6LG1
ESettlement 6 P. monodon 10LG1
EOutlet drain P. monodon 4LG1
EOutlet drain P. monodon 9LG1
EOutlet drain P. monodon 2LG1
G4 P. monodon 9LG1
1LG2
H19 P. monodon 7LG1
H13 P. monodon 1LG1
9LG3
Logan River** Metapenaeus bennettae 8LG3
P. monodon 1LG3
P. monodon 1LG1
1LG3
P. monodon 1LG1
M. bennettae 3LG1
2017Moreton Bay** M. bennettae 2MB1
P. merguiensis 1MB1
P. esculentus 5MB2
M. bennettae 4MB1
Melicertus plebejus 1MB1
M. bennettae 6MB1
P. esculentus 2MB1
M. bennettae 12MB1
Unknown 9MB1
2018Moreton Bay** Thalamita crenata 9MB6
M. bennettae 48MB3
2MB4
P. esculentus 1MB5
9MB6
15MB8
1MB10
1MB11
P. merguiensis 2MB3
8MB6
T. crenata 14MB12
4MB7
M. bennettae 1MB1
37MB6
1MB9
P. esculentus 11MB1
M. bennettae 47MB1
M. bennettae 15MB1

*Where the same site/pond is listed more than once, these represent different sampling occasions

**Where same species is listed more than once, these represent different sampling locations within the same area

Sources of white spot syndrome virus DNA from Queensland, Australia *Where the same site/pond is listed more than once, these represent different sampling occasions **Where same species is listed more than once, these represent different sampling locations within the same area Two frozen prawn tissue samples from the feed causing the 1999 Darwin incident (see Introduction) were also tested. DNA was extracted using a DNeasy Blood and Tissue Kit (QIAGEN).

Samples of imported crustacean retail material

A total of 245 samples from 46 different imported crustacean-based food products were purchased from local and national chain retail outlets. Products included green prawns and marinated green prawn tails, cooked prawns, processed prawn products (cooked and raw, such as prepared dumplings and similar products), crab meat and crab products. Cooked products were included only to expand on spatial representation of WSSV genotypes, but they were not expected to be a potential direct source of viable virus. DNA extractions and the WSSV-detection PCRs were conducted by BSL as described above. The test-positive DNA extracts (Table 4) were used for STR genotyping.
Table 4

Sources of white spot syndrome virus DNA from outside Australia

Stated sourceYearSample identityRoute of accessPresentationSpecies
China2016-7C1-C5Retail. Supermarket 1 deli counterLoose green prawn tails P. vannamei
2016-7C6-C10Retail. Supermarket 2 deli counterLoose green prawn tails P. vannamei
2016-7C16-C20Retail. Supermarket 1 deli counterLoose green marinaded prawn tailsUnknown
2016-7C21-C25Retail. Pre-packaged, brand 3, supermarketFrozen green marinaded prawn tails P. vannamei
2016-7C26-C30Retail. Pre-packaged, brand 4, supermarketFrozen green marinaded prawn tails P. vannamei
2016-7C71-75Retail. Pre-packaged, brand 4, supermarketFrozen green prawn tails P. vannamei
2016IT14, IT44CSIRO AAHL*DNA extracted from imported prawnsUnknown
UnknownIT2, IT5, IT6, IT9, IT12, IT38CSIRO AAHL*DNA extracted from imported prawnsUnknown
Vietnam2016-7V11-V15Retail. Pre-packaged, brand 3, supermarketFrozen green marinaded prawn tails P. vannamei
2016-7V16-V20Retail. Supermarket 1 deli counterLoose green marinaded prawn tailsUnknown
2016-7V21-V25Retail. Pre-packaged, brand 3, supermarketFrozen green marinaded prawn tails P. vannamei
2016-7V26-30Retail. Pre-packaged, brand 13, supermarketLoose green prawn tails P. monodon
2016-7V56-V60Retail. Pre-packaged, brand 5, supermarketFrozen breaded green prawn tails P. vannamei
2016-7V96-V100Retail. Pre-packaged, brand 6, supermarketFrozen crab cake Portunus haani
2016-7V76-V80Retail. Pre-packaged, brand 4, supermarketFrozen cooked prawn tails P. vannamei
2016-7V111-115Retail. Pre-packaged, brand 11, supermarketFrozen processed complete menu productUnknown
2016-7V151-155Retail. Pre-packaged, brand 12, supermarketFrozen processed complete menu productUnknown
2016-7V156-160Retail. Pre-packaged, brand 12, supermarketFrozen processed complete menu productUnknown
2016IT17, IT49, IT50CSIRO AAHL*DNA extracted from imported prawns P. monodon
UnknownIT22, IT24CSIRO AAHL*DNA extracted from imported prawns P. monodon
2016IT18CSIRO AAHL*DNA extracted from imported prawns P. vannamei
UnknownIT23CSIRO AAHL*DNA extracted from imported prawns P. vannamei
2016IT21, IT25, IT40-43, IT46-48CSIRO AAHL*DNA extracted from imported prawnsUnknown
UnknownIT20, IT27-37, IT39CSIRO AAHL*DNA extracted from imported prawnsUnknown
2013IT45CSIRO AAHL*DNA extracted from imported prawnsUnknown
Thailand2016-7T1-T5Retail. Pre-packaged, brand 7, supermarketFrozen cooked prawn tailsUnknown
2016-7T6-T10Retail. Supermarket 1 deli counterLoose cooked prawn tails P. vannamei
2016-7T16-T20Retail. Pre-packaged, brand 8Dried prawn tailsUnknown
2016-7T41-T45Retail. Supermarket 1 deli counterLoose cooked prawn tails P. vannamei
2016-7T101-T105Retail. Pre-packaged, brand 4, supermarketFrozen processed complete menu product P. vannamei
2016-7T106-T110Retail. Pre-packaged, brand 10, supermarketFrozen processed complete menu product P. vannamei
2016-7T116-120Retail. Pre-packaged, brand 3, supermarketFrozen processed complete menu product P. vannamei
2018Thai2Supplier name withheldPrawns in ethanol
1998C-98Dr. A DharDNA in ethanol P. monodon
2017F-17Dr. A DharDNA in ethanolDried feed
MalaysiaUnknownIT1, IT3-4, IT7-8, IT10-11, IT13, IT15, IT19, IT26CSIRO AAHL*DNA extracted from imported prawnsUnknown
Indonesia2016-7I86-I90Retail. Pre-packaged, brand 9, supermarketFrozen cooked crab meat Portunus pelagicus
1999D1Dr. A DharDNA in ethanol P. monodon
 Sengkang, S. Sulawesi2018Sul_A1-Sul_A12;Dr. M. RimmerPleiopods in ethanol P. monodon
 Takalar, S. Sulawesi2018Sul_B1-Sul_B3Dr. M. RimmerPleiopods in ethanol P. monodon
IndiaTamil Nadu

‘O’: period 2002-2004

‘N’: period 2014-2017

OTN1, OTN2, OTN3, NTN1, NTN2, NTN3, NTN4Dr. S. HameedDNA on FTA cards

‘O’ P. monodon

‘N’ P. vannamei

Andhra PradeshOAP1, NAP1, NAP2, NAP3Dr. S. HameedDNA on FTA cards
Dr. S. HameedDNA on FTA cards
KeralaOKE1, NKE1, NKE2, NKE3, NKE4, NKE5, NKE6, NKE7
Dr. S. HameedDNA on FTA cards
OdishaOOD1Dr. S. HameedDNA on FTA cards
West BengalOWB1, NWB1Dr. S. HameedDNA on FTA cards
GujaratOGU1Dr. S. HameedDNA on FTA cards
Kingdom of Saudi Arabia2011SA1-2Dr V. Alday SanzPrawns in ethanol P. indicus
IranKhuzestan2018IR1-IR7Dr. M. AfsharnasabPrawns in ethanol P. vannamei
Sistan and Baluchestan2018IR8-IR15Dr. M. AfsharnasabPrawn tissue in ethanol P. vannamei
Ecuador2018E1-E6Supplier name withheldPrawns in ethanol P. vannamei
USAArizona retail1996A-96Dr. A DharDNA in ethanol
South Carolina mariculture1997B1Dr. A DharDNA in ethanol
B2Dr. A DharDNA in ethanol
B3Dr. A DharDNA in ethanol
South Carolina retail1997B4Dr. A DharDNA in ethanol
Honduras1999D2-99Dr. A DharDNA in ethanolUnknown
2002E-02Dr. A DharDNA in ethanol P. vannamei

*WSSV detected during testing as part of the importation process. Testing conducted by CSIRO Australian Animal Health Laboratories, Geelong, VIC

Sources of white spot syndrome virus DNA from outside Australia ‘O’: period 2002-2004 ‘N’: period 2014-2017 ‘O’ P. monodon ‘N’ P. vannamei *WSSV detected during testing as part of the importation process. Testing conducted by CSIRO Australian Animal Health Laboratories, Geelong, VIC

Samples of penaeid material from other regions of the world

Samples from other global regions were provided either as ethanol-preserved tissue, DNA in ethanol or DNA fixed on FTA cards (GE Healthcare, Biostrategy, VIC). Prior to STR genotyping, DNA extractions from tissue and detection of WSSV by PCR were conducted by BSL as described above, or DNA was extracted using a DNeasy Blood and Tissue Kit, and tested similarly for the presence of WSSV DNA. FTA cards were processed according to the manufacturer’s instructions. The WSSV-positive DNA extracts or FTA cards (Table 4) were used for STR genotyping.

Comparison of STR genotyping resolution sensitivity with other loci

One sample of each of the STR genotypes identified from the affected farms in Logan and from Moreton Bay were tested by PCR and amplicon sequencing of ORFs 75, 94 and 125 [19] as described previously [18].

Data analysis

Basic analysis of data such as allele frequency and Nei’s genetic identity was done using Genalex v6.4 [28] with a priori assumptions of WSSV origin as stated on retail packages or by the donor. Such analysis may be hindered by prior assumptions of origin and the dichotomous nature of widely used phylogenetic trees that use genetic distance. Hence, the entire dataset of genotypes without prior clustering according to the stated source or origin was used to create a more appropriate minimum spanning tree using the GeoBURST full MST algorithm in PHYLOViZ v2 [29].

Results

Thirty-six STR markers were identified, including some with perfect tandem repeats and some with imperfect repeats but variation in copy number between reported genome sequences. Testing for robustness showed consistency in fragment lengths among repeated tests of the same DNA extract, comparison of data from re-extracted DNA from the same sample, and comparison among three operators, with 34 markers. Two markers (WSV5 and WSV9) were discarded from the locus panels because they did not work optimally at a shared annealing temperature. The sensitivity of the genotyping was determined to be equivalent to the diagnostic PCR; STR fragments were generated from samples that had diagnostic PCR Ct values as high as 38 when tested by BSL, although the larger fragments were not always observed in samples with Cts above 35. For approximately 20% of the processed retail products, more than two thirds of the loci were not amplified, and where this occurred, even when WSSV detection PCR Cts were less than 35, this was presumably because of DNA degradation as a result of the cooking, drying or other processing. A total of seven genotypes were observed from samples taken from infected ponds in farms and in the Logan River (LG1 to LG7, Tables 3 and 5), with the majority being of genotype LG1. The seven genotypes differed in only one or two loci. Where samples were taken from the same site or pond on different occasions, and hence tested on different occasions, the results were consistent, which further demonstrates the robustness of the allele calls. A total of twelve genotypes were observed from samples taken from Moreton Bay (MB1 to MB12, Tables 3 and 5). In 2017, two genotypes were apparent. MB1 predominated and only one sample (five individuals) showed MB2. In 2018, all MB types were observed except MB2. There was no common genotype found in both the Logan area and in Moreton Bay, with one locus (WSV24) consistently showing genotypic difference between the two areas.
Table 5

Genotypes observed in samples taken in Queensland 2016-2018. Boxed alleles indicate those that differ from LG1

Genotypes observed in samples taken in Queensland 2016-2018. Boxed alleles indicate those that differ from LG1 A large range of alleles was observed from the samples originating from outside Queensland, as indicated by the actual allele size range shown in Table 1, compared to alleles shown for Queensland samples. Most loci were highly polymorphic, while some showed only two or three alleles globally. One locus appeared monomorphic (WSV21) and was retained in the panel as a control marker. Many samples originating from regions where WSSV is endemic showed infection with multiple genotypes, seen as more than one allele at individual loci. Where this occurred, all of the possible genotype iterations were determined, as this approach would not impede subsequent analyses that rely upon allele frequencies and distances. The allelic data are summarised in Table 6 as allele frequencies for a priori given global regions. Table 7 shows Nei’s genetic identity between the same a priori regions.
Table 6

Allele frequencies related to the a priori-stated origin of the sample

LocusAlleleVietnamChinaMalaysiaThailandIndonesiaSaudi ArabiaUSAHondurasEcuadorIndiaIranDarwinQLD
WSV16 59 0.1110.9940.0420.8860.7181.0000.2760.5001.0001.0001.0001.0001.000
62 0.8890.0060.9580.1140.2820.0000.7240.5000.0000.0000.0000.0000.000
WSV36 112 0.0000.0000.0000.0150.0000.0000.0000.0000.0000.0000.0000.0000.000
115 0.0000.0260.0080.1760.0000.0000.0000.0000.0000.0900.0000.0000.000
118 1.0000.8000.9920.8090.3851.0000.4830.0000.5000.4010.2001.0000.000
121 0.0000.1740.0000.0000.6150.0000.5171.0000.5000.3890.8000.0000.944
124 0.0000.0000.0000.0000.0000.0000.0000.0000.0000.1200.0000.0000.056
WSV4 162 0.0000.0520.4070.0000.0000.0000.0000.0000.0000.3830.8000.0000.000
165 0.2280.5550.0340.3930.2050.0000.0000.0000.0000.0180.2000.0000.000
168 0.1840.0130.2750.0000.3080.0000.0170.0000.5000.1380.0000.9000.000
171 0.0590.0060.0000.0940.4101.0000.9831.0000.0000.0540.0000.0000.778
174 0.2950.0000.2840.2550.0770.0000.0000.0000.0000.0000.0000.0000.222
177 0.2030.3610.0000.2430.0000.0000.0000.0000.0000.0060.0000.0000.000
180 0.0120.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
183 0.0000.0130.0000.0150.0000.0000.0000.0000.0000.0000.0000.0000.000
186 0.0190.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
189 0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0480.0000.0000.000
192 0.0000.0000.0000.0000.0000.0000.0000.0000.0000.1800.0000.1000.000
195 0.0000.0000.0000.0000.0000.0000.0000.0000.5000.1740.0000.0000.000
WSV21 286 1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
WSV7 374 0.0000.2580.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
377 0.1450.0000.0000.0000.0000.0000.0000.0000.0000.0000.2000.0000.000
380 0.0010.2000.2800.0000.0000.0000.0000.0001.0000.8440.0001.0000.000
383 0.8540.5420.5851.0000.8971.0001.0001.0000.0000.1560.8000.0000.000
386 0.0000.0000.1360.0000.1030.0000.0000.0000.0000.0000.0000.0001.000
WSV13 85 1.0000.9940.9281.0001.0000.0001.0001.0000.5000.9400.8000.8000.000
88 0.0000.0060.0720.0000.0001.0000.0000.0000.0000.0060.2000.2001.000
91 0.0000.0000.0000.0000.0000.0000.0000.0000.5000.0540.0000.0000.000
WSV3 146 0.3250.9480.5170.5780.0001.0000.0000.0000.0000.4250.0000.0001.000
149 0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.000
155 0.0000.0000.0000.0470.0000.0000.4140.5000.0000.0000.0000.0000.000
161 0.0000.0520.0000.0000.0000.0000.0000.0000.0000.3830.4570.0000.000
164 0.6750.0000.4830.3751.0000.0000.5860.5001.0000.1920.5430.0000.000
WSV15 247 0.0000.0000.0000.0000.0770.0000.0000.0000.0000.0000.0000.0000.000
259 0.0720.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
265 0.9281.0001.0001.0000.9231.0001.0001.0001.0001.0000.2001.0000.000
271 0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.8000.0001.000
WSV12 88 0.0020.0000.0000.1090.0000.0000.0000.0000.0000.0000.0000.0000.000
91 0.9250.9740.6570.8921.0000.0000.8621.0001.0001.0001.0001.0000.000
94 0.0730.0260.3430.0000.0001.0000.1380.0000.0000.0000.0000.0001.000
WSV32 176 0.0100.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
179 0.9151.0000.6571.0000.0001.0000.0000.5001.0001.0000.3140.6001.000
182 0.0030.0000.3430.0001.0000.0001.0000.5000.0000.0000.6860.4000.000
185 0.0720.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
WSV8 196 0.3440.0000.0000.0060.0000.0000.0000.0000.0000.0000.0000.0000.000
199 0.6161.0000.3140.9941.0001.0001.0001.0001.0001.0001.0001.0000.000
202 0.0400.0000.6860.0000.0000.0000.0000.0000.0000.0000.0000.0001.000
WSV10 86 0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.2290.0000.000
89 0.9940.2320.4150.3491.0000.0000.5861.0001.0000.9340.7711.0000.000
92 0.0050.6260.5760.6510.0001.0000.4140.0000.0000.0660.0000.0001.000
95 0.0010.1420.0080.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
WSV23 146 0.3780.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
149 0.3540.8390.5720.8920.7951.0000.0171.0001.0001.0001.0001.0000.000
152 0.2680.1610.4280.1090.2050.0000.9830.0000.0000.0000.0000.0001.000
WSV6 260 0.0180.0000.0000.0000.0000.0000.0000.0000.0000.0000.8000.0000.000
263 0.0920.0000.4070.0000.0000.0000.0000.0000.0000.0060.2000.1000.000
266 0.4590.6840.5760.5630.7950.0000.4140.5001.0000.9400.0000.5000.000
269 0.3670.0000.0080.3280.0001.0000.0000.0000.0000.0540.0000.0001.000
272 0.0020.3160.0080.0000.2050.0000.5860.5000.0000.0000.0000.0000.000
275 0.0620.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
278 0.0000.0000.0000.1090.0000.0000.0000.0000.0000.0000.0000.0000.000
281 0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.4000.000
WSV29 68 0.0490.0000.0000.1060.0000.0000.0000.0000.0000.0780.4000.0000.000
71 0.8860.2000.2880.6420.9231.0000.5861.0000.0000.0840.6001.0000.000
74 0.0650.8000.7120.2520.0770.0000.4140.0001.0000.8380.0000.0001.000
WSV18 116 0.0490.0000.0000.1320.2050.0000.0000.0000.0000.0000.8000.0000.000
119 0.7181.0001.0000.8680.7951.0001.0001.0001.0001.0000.2000.2000.000
122 0.1570.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.000
125 0.0760.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
136 0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.8000.000
WSV30 263 0.0000.1030.0000.1000.0000.0000.0000.0000.0000.0000.2000.5000.000
266 0.0110.0000.0040.1880.2050.0000.0000.0000.0000.6410.0000.4000.000
269 0.0140.1290.0000.0000.0001.0000.0000.0000.0000.0540.0000.1000.000
272 0.1370.4450.5760.2670.4100.0001.0001.0001.0000.0900.8000.0000.056
275 0.4800.0970.4070.1990.3080.0000.0000.0000.0000.0240.0000.0000.944
278 0.1650.2260.0080.0000.0000.0000.0000.0000.0000.1920.0000.0000.000
281 0.1500.0000.0040.0180.0000.0000.0000.0000.0000.0000.0000.0000.000
284 0.0410.0000.0000.0000.0770.0000.0000.0000.0000.0000.0000.0000.000
287 0.0010.0000.0000.2290.0000.0000.0000.0000.0000.0000.0000.0000.000
290 0.0020.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
WSV14 58 0.1450.0130.0000.0000.0000.0000.0000.0000.0000.0180.1140.0000.000
61 0.8030.0650.9660.2080.7950.0001.0001.0000.5000.0780.8861.0000.000
64 0.0520.8130.0250.7920.2050.0000.0000.0000.5000.2570.0000.0000.056
67 0.0000.1030.0080.0000.0001.0000.0000.0000.0000.6470.0000.0000.944
71 0.0000.0060.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
WSV19 116 0.0060.0770.0000.0000.0000.0000.0000.0000.0000.0000.8000.0000.000
119 0.4190.9231.0000.8921.0001.0000.9660.5001.0001.0000.2001.0000.000
122 0.5370.0000.0000.1090.0000.0000.0000.5000.0000.0000.0000.0000.000
125 0.0380.0000.0000.0000.0000.0000.0340.0000.0000.0000.0000.0001.000
WSV11 89 0.0060.0650.0000.1090.0001.0000.0000.0001.0000.0000.0000.0001.000
92 0.9940.9351.0000.8921.0000.0001.0001.0000.0001.0001.0001.0000.000
WSV1 171 0.0000.0000.0000.0000.6150.0000.0000.0000.0000.0000.0000.0000.000
174 0.0010.0000.0000.3460.0000.0000.0000.0000.0000.0000.0000.0000.000
186 0.0030.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
192 0.1440.0000.0000.0000.0000.0000.0000.0000.0000.0060.0000.0000.000
195 0.0010.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
198 0.2700.4130.0680.2580.3850.0000.0000.5000.5000.1860.0000.0000.000
201 0.0000.1480.0040.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
204 0.0010.0900.0000.3020.0000.0000.0000.5000.5000.8080.0000.0000.000
210 0.0010.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
216 0.5420.3480.9240.0940.0001.0001.0000.0000.0000.0001.0001.0000.722
222 0.0380.0000.0040.0000.0000.0000.0000.0000.0000.0000.0000.0000.222
228 0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.056
WSV22 62 0.0000.0190.0040.0000.6150.0000.0000.0000.0000.0240.0000.0000.000
65 1.0000.9810.8521.0000.3850.0001.0001.0001.0000.9761.0001.0000.000
68 0.0000.0000.1440.0000.0001.0000.0000.0000.0000.0000.0000.0001.000
WSV27 132 0.0190.1680.0210.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
135 0.5000.0060.0000.0940.0000.0000.0000.0000.0000.0000.0000.0001.000
138 0.2040.8260.9790.9061.0001.0001.0001.0001.0001.0001.0001.0000.000
141 0.2770.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
WSV26 182 0.0660.3100.7200.2990.0001.0000.3450.0000.0000.1500.0000.0001.000
188 0.0140.0000.0000.0000.0000.0000.0000.0000.0000.0000.8000.0000.000
191 0.0460.0000.0000.0470.0000.0000.0000.0000.0000.0000.0000.0000.000
197 0.8740.6900.2800.6541.0000.0000.6551.0001.0000.8500.2001.0000.000
WSV24 271 0.0090.0000.0170.0000.0000.0000.0000.0000.0000.0300.0000.0000.000
274 0.0190.0000.5510.0000.3080.0000.0000.0000.0000.0480.0000.0000.000
277 0.4540.1160.0040.0500.6150.0001.0001.0000.0000.0060.8000.0000.000
280 0.3360.3100.0040.0940.0000.0000.0000.0000.0000.0120.2000.6000.000
283 0.0220.1290.0000.2990.0000.0000.0000.0001.0000.0120.0000.4000.000
286 0.1480.1420.0080.1440.0771.0000.0000.0000.0000.0060.0000.0000.000
289 0.0000.2710.0000.0000.0000.0000.0000.0000.0000.0540.0000.0000.611
292 0.0020.0320.1360.1350.0000.0000.0000.0000.0000.3890.0000.0000.278
295 0.0100.0000.0000.1960.0000.0000.0000.0000.0000.4430.0000.0000.111
298 0.0000.0000.0000.0090.0000.0000.0000.0000.0000.0000.0000.0000.000
301 0.0000.0000.2800.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
304 0.0000.0000.0000.0500.0000.0000.0000.0000.0000.0000.0000.0000.000
310 0.0000.0000.0000.0230.0000.0000.0000.0000.0000.0000.0000.0000.000
WSV2 362 0.0010.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
365 0.0050.0060.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
368 0.0000.0000.5420.1910.0000.0000.0000.0000.0000.0000.0000.0000.056
371 0.2450.4390.0080.0700.0000.0000.8970.0000.0000.6470.0000.0000.944
374 0.5080.5550.4410.7391.0001.0000.1031.0000.0000.3230.2001.0000.000
377 0.2420.0000.0080.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
380 0.0010.0000.0000.0000.0000.0000.0000.0000.0000.0060.8000.0000.000
383 0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0240.0000.0000.000
389 0.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.000
WSV20 129 0.0000.0000.0000.1850.0000.0000.0000.0000.0000.0000.0000.0000.000
132 0.0000.0000.0000.0000.3080.0000.0000.0000.0000.0000.0000.0000.000
135 0.2250.0000.0040.0940.0000.0000.0000.5000.0000.0001.0001.0000.000
138 0.6240.9740.8600.7210.6151.0001.0000.5001.0001.0000.0000.0000.722
141 0.1470.0260.1360.0000.0000.0000.0000.0000.0000.0000.0000.0000.278
144 0.0050.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
150 0.0000.0000.0000.0000.0770.0000.0000.0000.0000.0000.0000.0000.000
WSV35 281 0.0140.0580.0000.0000.2050.0000.4480.5000.0000.0060.8000.0000.000
284 0.9850.9421.0000.8530.7181.0000.5520.5001.0000.9940.2001.0001.000
287 0.0010.0000.0000.1440.0770.0000.0000.0000.0000.0000.0000.0000.000
290 0.0000.0000.0000.0030.0000.0000.0000.0000.0000.0000.0000.0000.000
296 0.0010.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
WSV17 118 0.0000.0000.0000.0000.0000.0000.0000.0000.0000.2690.0000.0000.000
121 0.0050.1030.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
124 0.0150.2450.0040.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
127 0.5470.1030.1360.0060.0000.0000.0000.0000.0000.4310.0000.0000.056
130 0.2370.4650.8470.5780.9231.0001.0001.0000.0000.0960.6001.0000.778
133 0.1100.0840.0040.1350.0770.0000.0000.0000.0000.1920.0000.0000.167
136 0.0110.0000.0080.0470.0000.0000.0000.0000.0000.0000.1140.0000.000
139 0.0750.0000.0000.0940.0000.0000.0000.0001.0000.0000.0000.0000.000
142 0.0000.0000.0000.0320.0000.0000.0000.0000.0000.0120.0000.0000.000
145 0.0000.0000.0000.0940.0000.0000.0000.0000.0000.0000.0000.0000.000
148 0.0000.0000.0000.0150.0000.0000.0000.0000.0000.0000.2860.0000.000
WSV31 209 0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.4000.0000.000
212 0.0010.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
215 0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0060.0000.0000.000
218 0.6881.0000.9960.9531.0001.0000.7241.0001.0000.8020.6001.0001.000
221 0.0010.0000.0040.0470.0000.0000.0000.0000.0000.1920.0000.0000.000
224 0.3110.0000.0000.0000.0000.0000.2760.0000.0000.0000.0000.0000.000
WSV25 275 0.0010.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.111
278 0.8630.8130.8560.9381.0000.0001.0001.0001.0000.9881.0001.0000.000
281 0.1360.1870.1440.0620.0001.0000.0000.0000.0000.0120.0000.0000.889
WSV34 151 0.0000.0000.0000.0000.0770.0000.0000.0000.0000.0000.0000.0000.000
154 0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.4000.000
157 0.0000.1030.0000.0000.0000.0000.0000.0000.0000.0240.0000.0000.000
160 0.0000.0000.0000.0000.3080.0000.0000.0000.0000.0000.0000.0000.000
163 0.0100.0000.0000.0060.6150.0000.7241.0000.0000.0780.8000.4000.000
166 0.5420.1100.2880.1090.0000.0000.2760.0000.0000.0540.2000.0001.000
169 0.3280.1810.0000.3400.0000.0000.0000.0000.0000.1920.0000.0000.000
172 0.0180.0770.0000.0000.0000.0000.0000.0000.0000.0060.0000.0000.000
175 0.0750.2130.0000.0000.0001.0000.0000.0000.0000.0000.0000.2000.000
178 0.0010.0000.0040.1790.0000.0000.0000.0000.0000.0060.0000.0000.000
181 0.0070.0260.0000.2430.0000.0000.0000.0000.0000.0000.0000.0000.000
184 0.0000.0000.1440.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
187 0.0000.0000.5640.0000.0000.0000.0000.0001.0000.6410.0000.0000.000
190 0.0200.1740.0000.0290.0000.0000.0000.0000.0000.0000.0000.0000.000
193 0.0000.0000.0000.0700.0000.0000.0000.0000.0000.0000.0000.0000.000
196 0.0000.1160.0000.0230.0000.0000.0000.0000.0000.0000.0000.0000.000
WSV28 250 1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.000
253 0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.000
WSV33 342 0.0000.0000.0000.0000.2050.0000.0000.0000.0000.0000.0000.0000.000
345 0.0000.0060.0000.0000.0000.0000.0000.5000.0000.0720.0000.0001.000
348 0.6830.9871.0000.9350.7181.0001.0000.5001.0000.9041.0001.0000.000
351 0.3170.0060.0000.0650.0770.0000.0000.0000.0000.0240.0000.0000.000
354 0.0010.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
Table 7

Genetic identity between WSSV isolates from different a priori-stated sources

VietnamChinaMalaysiaThailandIndonesiaSaudi ArabiaUSAHondurasEcuadorIndiaIranDarwinQueensland
1.000Vietnam
0.7781.000China
0.8080.8121.000Malaysia
0.8290.9360.8181.000Thailand
0.7770.7600.7580.8161.000Indonesia
0.5290.6610.6190.6720.5301.000Saudi Arabia
0.7600.7400.8030.7400.8340.5301.000USA
0.7620.7240.7020.7770.8920.5050.8481.000Honduras
0.6430.7590.6880.7480.6860.4740.6160.6561.000Ecuador
0.7320.8710.7550.8450.7430.5410.6770.7120.8211.000India
0.6250.6100.6090.6440.7130.4100.7030.7480.5320.5901.000Iran
0.7300.7310.7180.7600.7930.5380.6660.7230.6640.7310.6831.000Darwin
0.3110.3780.3940.3260.2170.5470.3170.2280.2640.3190.2190.2041.000Queensland
Allele frequencies related to the a priori-stated origin of the sample Genetic identity between WSSV isolates from different a priori-stated sources A minimum spanning tree (MST) was created using all genotypes as nodes with no prior assumptions pertaining to the source of the sample, although each genotype node was assigned a colour according to the reported source. Each genotype was represented in the tree only once, so where multiple samples had the same genotype, the node was labelled with only one of them. Multiple samples with the same genotype/node are listed in Table 8. The minimum spanning tree stylised to show the reported source by colour is shown in Figure 1. Relative branch lengths are not depicted in the tree, most of the genotypes (n = 2,516) have a single step of difference to the next node (hereafter termed as level 1), and low numbers of links have levels 2 to 11 (Table 9). There is only one instance of a level exceeding this: the Australian genotype MB1 has 16 levels in the link to Saudi Arabia. At such a high distance and with the jump from 11 to 16 links, the confidence of this suggested link is questionable.
Table 8

Samples with identical genotypes. Samples with identical genotypes are not represented in Figure 1. Each genotype/node is represented only once. Labels are as detailed in Table 4

Retained labelIdentical genotypes
V16V18
V76V77, V79, V80
C16-2C17, C18, C19-1, C20-1, C21, C22, C23, C24, C25-1
T16T17, T18, T20-1
T106T107, T108, T109, T110
T116T118, T118, T119, T120
T143T145
I186I187-1, I188-2, I190-2
I187-2I188-1, I189
SulA1SulA2 to SulA12
SulB1SulB2, SulB3
IR1IR2 to IR7
Fig. 1

Minimum spanning tree of WSSV genotypes (stylised for ease of labelling and navigation). Where there are multiple clusters from the same region, the numerical codes relate to the following samples: China1: C1, C2, C4, C5, C6, C7, C10, C16, C19, C71, C72, C73, C74, C75, IT14. China2: IT5. China3: IT2. China4: IT9. China5: IT6, IT12. China6: IT38. China7: IT44. China8: C30. India1: NAP1, NAP2, NAP3, NTN3, NTN4, NTN5, NWB1, NKE1, NKE2, NKE3, NKE4, NKE5. India2: OTN1, OAP1, OGU1, OWB1. India3: NTN2. India4: OOD1, OKE1. India5: NTN1. Thailand1: T16, T19, T20, T101, T103, T105, T106, T108, T110, T116, T119, T120, T121, T122, T123, T124, T125. Thailand2: ThC-98. Thailand3: ThaiMB, F17, T140, T142, T143. Malaysia1: IT7, IT8, IT10. Malaysia2: IT1, IT11, IT19. Malaysia3: IT4. Malaysia4: IT13. Malaysia5: IT3. Malaysia6: IT15. Indonesia1: D1-99, I187, I186. Indonesia2: SulA. Indonesia3: SulB. Vietnam1: IT16, IT17, IT18, IT20, IT21, IT22, IT23, IT25, IT27, IT28, IT29, IT30, IT31, IT32, IT33, IT34, IT35, IT36, IT37, IT39, IT40, IT41, IT42, IT43, IT45, IT46, IT47, IT48, IT49, IT50, V20, V16, V17, V19, V21, V26, V27, V28, V29, V30, V76, V100, V111, V112, V114, V157, V159, V160. Vietnam2: IT24. Vietnam3: V23. Honduras1: HE02. Honduras2: H-D2. Iran1: IR1, IR2, IR3, IR4, IR5, IR6, IR7. Iran2: IR8, IR9, IR10, IR11, IR12, IR13, IR14, IR15

Table 9

Distribution of linkage levels between nodes in Figure 1

Linkage levelFrequency
12516
213
315
418
526
620
78
83
92
103
113
120
130
140
150
161
Samples with identical genotypes. Samples with identical genotypes are not represented in Figure 1. Each genotype/node is represented only once. Labels are as detailed in Table 4 Minimum spanning tree of WSSV genotypes (stylised for ease of labelling and navigation). Where there are multiple clusters from the same region, the numerical codes relate to the following samples: China1: C1, C2, C4, C5, C6, C7, C10, C16, C19, C71, C72, C73, C74, C75, IT14. China2: IT5. China3: IT2. China4: IT9. China5: IT6, IT12. China6: IT38. China7: IT44. China8: C30. India1: NAP1, NAP2, NAP3, NTN3, NTN4, NTN5, NWB1, NKE1, NKE2, NKE3, NKE4, NKE5. India2: OTN1, OAP1, OGU1, OWB1. India3: NTN2. India4: OOD1, OKE1. India5: NTN1. Thailand1: T16, T19, T20, T101, T103, T105, T106, T108, T110, T116, T119, T120, T121, T122, T123, T124, T125. Thailand2: ThC-98. Thailand3: ThaiMB, F17, T140, T142, T143. Malaysia1: IT7, IT8, IT10. Malaysia2: IT1, IT11, IT19. Malaysia3: IT4. Malaysia4: IT13. Malaysia5: IT3. Malaysia6: IT15. Indonesia1: D1-99, I187, I186. Indonesia2: SulA. Indonesia3: SulB. Vietnam1: IT16, IT17, IT18, IT20, IT21, IT22, IT23, IT25, IT27, IT28, IT29, IT30, IT31, IT32, IT33, IT34, IT35, IT36, IT37, IT39, IT40, IT41, IT42, IT43, IT45, IT46, IT47, IT48, IT49, IT50, V20, V16, V17, V19, V21, V26, V27, V28, V29, V30, V76, V100, V111, V112, V114, V157, V159, V160. Vietnam2: IT24. Vietnam3: V23. Honduras1: HE02. Honduras2: H-D2. Iran1: IR1, IR2, IR3, IR4, IR5, IR6, IR7. Iran2: IR8, IR9, IR10, IR11, IR12, IR13, IR14, IR15 Distribution of linkage levels between nodes in Figure 1 The previously identified markers ORFs 75, 94 and 125 [19] were amplified and sequenced from DNA extracted from one of each of the samples with the 19 genotypes identified in SE Queensland. When compared to WSSV-AU [18], which was assigned to genotype LG1, all of these genotypes likewise showed the identical deletion of ORF94 and partial deletion of ORF 75. However, some differences were observed in the ORF125 locus, with several STR genotypes being co-represented by single ORF125 alleles as shown in Table 10. For example, using the ORF125 VNTR, all of the genotypes from the Logan area were identical (5 + 2 partial repeats), yet the STR method identified seven genotypes LG1 to LG7, with LG2 to LG7 showing one or two loci with different alleles to LG1 (Table 10).
Table 10

Comparison of STR genotype with three commonly used genotyping loci (for reference, alleles differing from LG1 are marked in bold)

STR genotypeSTR fragment sizes at loci variable within SE QueenslandORF 75ORF94ORF125 (number of repeats)
Wsv36Wsv4Wsv30Wsv14Wsv1Wsv24Wsv2Wsv20Wsv17Wsv25
LG112117127567216292371138130281DeletedDeleted5 + 2 partial
LG212117127567216 295 371138130281DeletedDeleted
LG3 124 17127567216292371138130281DeletedDeleted
LG4121 174 27567216292371138130281DeletedDeleted
LG512117127567 228 292371138130281DeletedDeleted
LG6121171275 64 216 295 371138130281DeletedDeleted
LG712117127567216292 368 138130281DeletedDeleted
MB112117127567216 289 371138130281DeletedDeleted4 + 1 partial
MB2121171 272 67216 289 371138 133 281DeletedDeletedNot tested
MB312117127567 222 289 371138 133 281DeletedDeleted10 + 1 partial
MB4121 174 27567 222 289 371138 133 281DeletedDeleted
MB512117127567216 289 371138 133 281DeletedDeleted
MB1112117127567 222 289 371 141 133 281DeletedDeleted
MB612117127567216 289 371 141 130281DeletedDeleted7 + 1 partial
MB812117127567 222 289 371138 133 281DeletedDeleted
MB1312117127567216 289 371 141 133 281DeletedDeleted
MB9121 174 27567 222 289 371 141 133 281DeletedDeleted6 + 1 partial
MB1012117127567 222 289 371 141 130281DeletedDeleted
MB1212117127567216 289 371 141 130 275 DeletedDeletedNot tested
Comparison of STR genotype with three commonly used genotyping loci (for reference, alleles differing from LG1 are marked in bold)

Discussion

This is the first report of the global distribution of WSSV genotypes. Moreover, the samples were tested using a novel genotyping technique applying STRs. This method showed reproducible results when the same sample was retested on different occasions by different operators and when multiple samples were collected from the same pond on different occasions and tested independently. The STR method showed higher sensitivity to strain differences than previously reported markers. Of the commonly used VNTR markers [19], ORF 94 is deleted in the Australian strains, ORF75 is partially deleted, and it was observed that several STR genotypes could be co-represented by a single ORF125 allele. The results demonstrated that 17 STR genotypes were represented by five ORF125 types, and only one ORF125 allele corresponded to a single STR type. We believe this is a superior typing method, perhaps even when compared to whole-genome sequencing, as it has been reported that the WSSV genome has been decreasing in size over the years due to loss of selected and possibly redundant genes, particularly envelope-associated protein genes that may have been involved in ancestral host recognition [18, 30]. In particular, when comparing genomes from strains over a temporal range, such large significant deletions can result in elevated identities in state between contemporary strains that have undergone the loss of the same redundant regions even though the remaining genomic sequence may have significant mutations, SNPs, and STR differences that demonstrate a lack of relatedness, or identity by descent [18]. The STRs reported here are not located within regions observed to be deleted in recently sampled WSSV isolates and therefore are a more appropriate comparative multi-locus tool.

Global overview

There is a reported history of substantial trade in live aquatic animals, inevitably resulting in transboundary spread of disease [31]. WSSV most likely reached the Americas through importation of P. monodon from Asia ([32-36] and discussed below) and rapidly became established in American native species such as P. vannamei. Many of the contemporary samples originating from East Asia in this study were P. vannamei, which was introduced from the Americas to China on a commercial stock basis in the late 1990s, and to Thailand in 1998, and Indonesia in 2000. P. vannamei was subsequently introduced into the aquaculture industries in Vietnam and Malaysia in 2000, and India in 2001, mostly as a result of disease problems (including white spot disease) with the previously predominant farming of P. monodon [35, Dr. V. Alday Sanz, personal observation]. The common practice of translocating unscreened or inadequately tested stocks has led to the spread of WSSV back to Asia from the Americas, where WSSV may often be present at low levels in apparently healthy animals, escaping detection, and may be activated subsequently by stressful conditions of transportation or culture [31]. Additionally, the possible movement of infected marine crustaceans through ballast water may be a source of the pathogen as millions of tons of water are moved with little control across the world [37]. It is no surprise, therefore, to observe that the MST in Figure 1 has a mainstream of clusters from the Americas and from Asian sources that are closely linked to each other, forming a “backbone” of related clusters with regional variation forming local clusters among source regions. Multiple infections by different strains were frequently noted in samples from endemic regions. Reports of similar observations using the larger VNTRs reported by Marks et al. [19] have been made previously [38, 39]. Hoa et al. [38] reported a correlation of mixed genotype with non-outbreak occasions (defined as < 50% death), while single genotypes were associated with outbreak occasions (100% death). Indeed, coinfection of single animals was not observed in the Australian samples, although some ponds were the source of several genotypes (Table 3). Similarly, in the Khuzestan province of Iran, a single genotype was recovered from an area where WSSV is noted to be highly virulent compared to Sistan and Baluchestan Province, where the disease is manageable (Dr. M. Afsharnasab, personal observation) and from where multiple strains were detected from single samples. Conversely, Walker et al. [39] reported multiple infections with strains in diseased and non-diseased prawns, and in the current study, recent strains from India have been recovered from coinfection but showed increased virulence compared to older strains (Dr. S. Hameed, personal observation). Hence, disease expression might be related not only to virus genotype or number of genotypes but also to environmental triggers, the development of tolerance to persistent viral infection in prawns [40], and to immune priming invoked through prior exposure to viral components [41, 42].

East Asia (Vietnam, China, Thailand, Malaysia)

It was observed that samples from these East Asian regions commonly contained multiple strains of WSSV (seen as multiple alleles in multiple STR loci). These may be bona fide examples of coinfection by multiple strains as noted by others [38] or may be a result of cross-contamination in the large processing plants prior to exportation. In Figure 1, the genotypes observed in samples imported from the main exporters of prawns to Australia (Vietnam, Thailand, China and Malaysia) formed multiple regional clusters that were closely linked to each other, suggesting that the contemporary WSSV strains are largely regional. This may be the result of increased movement regulations [35] and the subsequent formation of localised clusters. The majority of strains from China formed one cluster (China1 in Figure 1), and multiple samples showed identical genotypes or genotypes located in the same cluster. The Chinese strains showed much less diversity than strains from Thailand, Malaysia or Vietnam. However, Figure 1 shows that there also were instances where small pockets and individual sample genotypes reportedly from one East Asian region were located within a larger cluster from a different region. These results almost certainly reflect the transboundary movement of large numbers of broodstock and larvae [32, 36, 43–46]. Alternatively, because the sources of the retail products are stated only as listed on the packaging, there exists the possibility of error, or of the country where the packaging was done differing from the actual source country. Moreover, there have been media reports of alleged smuggling between some of these countries [47, 48] and the importation of prawns from one region to another for further export [49], which would undoubtedly result in small pockets of WSSV genotypes appearing within different regions.

Indonesia

Several samples from Indonesia collected over a period of almost 20 years showed WSSV genotypes that clustered together – some from P. monodon, circa 1999, and some from retail frozen crab meat (Portunus pelagicus) purchased in Brisbane, Queensland, in 2017. The location within Indonesia from which these samples originated is unknown. Fifteen samples of P. monodon from two locations on the island of Sulawesi in 2018 were tested. Within each location, all of the samples showed a single genotype, but there were substantial differences between the two sites. The 10 samples labelled “SulA1” originated from Sengkang, an inland lake in the middle of the island, and the single genotype found in all these samples clustered closely with genotypes in a mixed cluster dominated by strains from Vietnam (Vietnam1 in Figure 1). The five samples labelled “SulB1” originated from Takalar on the southwest coast of the Island, on the Makassar Strait. The single genotype found in all these samples clustered closely with genotypes from Thailand (Thailand3 in Figure 1). In both sites, the prawns were separately descended from broodstock imported from Pacific American stocks (Dr. M. Rimmer, personal communication).

Americas

WSSV was first reported in the Americas in 1995 when a prawn farm in Texas was likely affected by waste from a nearby prawn-processing plant importing product from Asia [32]. Additionally, P. monodon was introduced into the USA and Latin America from Asia during the 1980s and 1990s [35] and may have served as another potential source of WSSV, as the disease spread rapidly through Asian countries during the latter part of this time. In 1997, WSSV was reported also in wild prawns in South Carolina [32], some of which are included in this study. The appearance of WSSV in the USA initiated a number of studies of the role of imported retail product as a source of local infection, and it was considered likely that the incursion into the USA could also be attributed to a few related strains having spread from the Asian “epicentre” through importation of frozen product and/or through transport of live animals from Asia [32–34, 36]. In the current study, Figure 1 shows that the WSSV genotypes observed in the USA samples from 1996-7 are linked closely to those in the main producing regions of Asia. The high prevalence of disease in P. monodon stocks in Asia caused a major shift in production to P. vannamei, which was imported from the Americas and is native to the west coast of the Americas from Mexico to Peru. Trade in P. vannamei from the Americas to Asia continues at a high rate [35]. Accordingly, translocation of broodstock is known to have led to the spread of disease from the Americas back to Asia [31]. In Figure 1, the close links between the Americas and Asia is shown between the genotypes observed from these two continents. Moreover, the STR genotype from one of the earliest (1999) WSSV reports from Honduras, Central America, is located within the USA cluster, suggesting that there were at least some virus transfer events from the USA to Central America. The genotypes obtained from samples sourced from Ecuador were separated in Figure 1 from the other samples sourced from the Americas and linked only with a cluster formed from newer WSSV strains from India. Interestingly, Flegel and Fegan [13] cite evidence of WSSV in diseased wild Ecuadorian P. vannamei from 1996, three years before the reported clinical disease often attributed in the literature to the spread from USA.

India

White spot disease in India was first noted in 1994 on the east coast, and the following year on the west coast [31], and it then affected the industry in the whole of India. Similar to the eastern Asian countries, the Indian prawn industry transformed from farming P. monodon to culturing P. vannamei as a result of disease problems with P. monodon. P. vannamei was introduced in 2001 from Taiwan [35], but not on a large commercial scale until circa 2009 [50]. Sivakumar et al. (2018) [51] compared WSSV sequences in Indian prawns from both prior to and after the large-scale introduction of P. vannamei and the subsequent disease in P. vannamei. They found substantial differences between the two time periods and also the two host species, with the later viruses showing large deletions compared to the earlier viruses. Major deletions of redundant genes have also been noted in other regions in recent years [18, 30, 52, 54], and the deletion sites reported for the newer Indian strains were among those reported for WSSV-AU [18, 51]. A selection of the samples from the Indian study by Sivakumar et al. (2018) [51], representing the different provinces of India over the two time periods, were included in the current study (Table 4). The STR genotyping showed a clear demarcation between the two time periods, but not between the provinces. The majority of genotypes from the older samples (prior to 2005) from both coasts formed a cluster (India2) linked to Vietnam1 (Fig. 1), and a smaller cluster (India4) also representing both coasts (Odisha in the east and Kerala in the west) was linked to Thailand1. However, the majority of the genotypes from the new samples (post-2014) formed a separate cluster (India1) with substantial distance from the older samples but with close links to the genotypes from P. vannamei sourced from Ecuador, and to the clusters Thailand1 (predominated by P. vannamei hosts) and China2 (a small cluster of genotypes obtained from one sample of unknown species). Interestingly, the emergence of these new strains coincided with the importation of P. vannamei broodstock from Ecuador (Dr. S. Hameed, personal observation). Two of the newer samples (NTN2 and NTN1 in Table 4, or India3 and India5 in Figure 1) from Tamil Nadu province clustered within Vietnam2 and Thailand1 (Fig. 1). Despite the similarities in deletions at sites previously reported only for the newer Indian strains and for WSSV-AU, the STR typing showed no evidence of close links between these sample groups, further suggesting that these major deletions are not indicative markers of contemporary strain differentiation, as discussed above. It was noted also that the samples with the newer strains of WSSV had substantially higher levels of multiple infections with different strains than the older samples. Additionally, the newer strains showed increased virulence compared to the earlier strains from P. monodon (Dr. S. Hameed, personal observation).

Kingdom of Saudi Arabia

The sample from Kingdom of Saudi Arabia (SA1) was sourced from a WSSV incursion and outbreak in 2010-11. Tang et al. [52, 53] reported this to be a similar strain to that associated with the incursion into Mozambique and Madagascar in 2012, and it could have originated from the Red Sea, although this was not supported by any genetic evidence apart from the previously unreported deletion of the ORF94 VNTR region not being observed in reports from Asian countries. In the current study it was observed that the SA1 genotype indeed appeared to have no close genotypic link with those sampled from Asia or America using the STR genotyping. Figure 1 shows the closest genotype to be based upon 11 STR differences to a genotype from Thailand, and this is not a persuasive link. It is interesting to note that the genotype observed in the sample from Saudi Arabia had no discernible link with the genotypes observed from the Persian Gulf or the Gulf of Oman. While most of the prawn mariculture in Saudi Arabia is on the Red Sea coast, it might have been expected that if the source of the 2010-11 incursion was some regional variant of WSSV from the Red Sea, then related variants may be located in the relatively close-by Persian Gulf and Gulf of Oman, which also lead into the Arabian Sea.

Iran

Seven samples were received from Khuzestan Province, in the northernmost part of the Persian Gulf, where WSSV is noted to be particularly virulent (M. Afsharnasab, personal observation). All seven showed the same single genotype. In Figure 1, this genotype (IR1) aligns with a cluster dominated by Vietnam and also containing genotypes obtained from samples sourced from Malaysia, India, China and Sulawesi. As noted with the Sulawesi samples, the P. vannamei samples from Khuzestan are reported to be descendants of imported Pacific American broodstock. It is not known if other samples in the Vietnam cluster may have originated from Pacific America also. Eight further samples were received from Chabehar, Sistan and Baluchestan Province, on the coast of the Gulf of Oman. In contrast to the samples from Khuzestan, these contained multiple strains, all of which differed from the strain in Khuzestan. The strains observed from Chabehar clustered closest to strains from South Carolina, USA, in 1997, albeit with a level 10 link.

Australia

Samples of the prawns used as feed associated with the unsustained infection of crustaceans in Darwin Harbour in 1999 were tested and compared to the Queensland strains. The prawns from the Darwin incident showed multiple strains in a similar manner to samples of infected prawns from endemic regions, and no genotype observed was similar to any of the Queensland genotypes. In Figure 1, it can be seen that the Darwin samples align closely to strains from Indonesia in 1999, which confirms previous indications that these prawns were, in fact, imported from Indonesia in 1999 before being inadvertently used as feed in the Darwin research facility. All of the Queensland genotypes from the Logan farms and Moreton Bay formed a discrete cluster that showed no apparent linkage to other regions represented in Figure 1. The closest genotype to the Australian cluster is the incursion that occurred in Saudi Arabia, but this is a level 16 link and, in addition to the lack of any evidence for a physical epidemiological link, is unlikely to reflect true relatedness. All PCR-positive samples contained single genotypes, in contrast to the multiple infections noted above in samples from WSSV endemic regions. The rapid progression of disease with a single viral strain per animal is in accordance with the observations of Hoa et al. [38] as discussed above, although some ponds in some Queensland farms were the source of several genotypes, but no coinfection was observed (Table 3). Farms A to D had LG1 exclusively, while farm E had all seven LG genotypes and farms G and H had LG1 plus a low frequency of some of the others noted in Farm E. It is unknown at present why farm E had a higher variation of strains. Whether this is a consequence of the large numbers of samples received from this property or whether it is a true reflection of the strain distribution requires further investigation. The prawns from the Logan farms and river were infected with different genotypes from the prawns sampled from Moreton Bay, with no common strain observed from both areas. However, the strains from the Logan area and Moreton Bay clustered closer together than to those of the other area, forming a single cluster when compared to strains from other regions of the world. The strains from both areas evidently were closely related. Spread from one area to the other with concurrent mutations would be expected to result in the presence of the non-mutated strain as well as mutated ones, so this is unlikely. If the WSSV in SE Queensland was a recent incursion, this raises the possibility that there might have been at least two introductions, most likely from the same source. Further studies are underway to investigate this possibility. The risk of introduction of pathogens via imported frozen prawns has long been recognised [32, 33]. Lightner et al. [32] have suggested that the likely routes of infection include release of untreated wastes from reprocessing plants, disposal of wastes in landfills, where birds consume the material and subsequently contaminate farms and natural fauna, using imported prawns as food for maintenance of other aquatic species, and the use of imported prawns as bait by sports fishermen in coastal waters. The latter scenario has been widely considered to be the likely cause of the WSSV outbreak in Queensland. However, although the genotyping described above results in the source of the outbreak being undetermined, it provides no evidence to support the premise that the outbreak was caused by recent importation of green prawns from Asia that were intended for human consumption but instead used as bait. The samples tested here were sourced from retail outlets in the Brisbane area immediately after the outbreak was detected and would likely represent the imported green prawns circulating for sale at the time. The samples represented a wide selection of brands and products, and even included cooked and processed products to increase contemporary WSSV representation by exporting regions. Moreover, the samples included product in which WSSV was detected at the stage of importation clearance testing during the year prior to, and immediately following, the outbreak, that provided additional representation from these countries. Hence, while it cannot be assumed that every genotype of WSSV is represented here, the localised clustering observed in Figure 1 implies that the regions at least appear to be recognisable based on genotype. One alternative possible explanation of the apparent lack of relatedness of the Australian WSSV cluster to others is a long-term undetected reservoir of WSSV in Australia. Although local populations of virus do become established across the globe (Fig. 1), the source links are still recognisable. In contrast, the Australian strains form a cluster that cannot be assigned to a source. However, the data presented here indicate that the possibility of a dormant “native” lineage in Australia needs to at least be considered when investigating the epidemiology of the incursion(s). In summary, this STR typing technique confirms much of what has been assumed previously regarding the movement of WSSV from Asia to the Americas and back to Asia, with minor mutations to the genotype along this pathway. From the results of this study, it was not possible to identify the source of the SE Queensland incursion. 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