Skip to main content
Genome Announcements logoLink to Genome Announcements
. 2016 Nov 17;4(6):e01220-16. doi: 10.1128/genomeA.01220-16

Complete Genome Sequence of an African Swine Fever Virus Isolate from Sardinia, Italy

Fredrik Granberg a,, Claudia Torresi b, Annalisa Oggiano c, Maja Malmberg a,d, Carmen Iscaro b, Gian Mario De Mia b, Sándor Belák a
PMCID: PMC5114369  PMID: 27856577

Abstract

Previous genetic characterization of African swine fever virus isolates from the Italian island of Sardinia, where the virus has been present since 1978, has largely been limited to a few selected genomic regions. Here, we report the complete genome sequence of the isolate 47/Ss/08 collected during an outbreak in 2008.

GENOME ANNOUNCEMENT

African swine fever (ASF) is a highly contagious and devastating disease of pigs, which is enzootic in many African countries and on the Italian island of Sardinia (1). The etiological agent, ASF virus (ASFV) (Asfarviridae, Asfivirus), is an enveloped virus with a linear double-stranded DNA (dsDNA) genome of 170 to 190 kbp, flanked by inverted terminal repeats (ITRs). Based on nucleotide sequencing of the p72 capsid protein gene, 22 genotypes (I to XXII) have been distinguished, but additional genomic regions have been suggested for increased resolution (2, 3). Genetic analysis of ASFV isolates from Sardinia revealed that they all belong to the p72 genotype I, with only minor variations within the B602L and the EP402R genes (4, 5). To better distinguish between these closely related isolates, comparative analysis of near-full-length or complete viral genome sequences is required.

The 47/Ss/08 isolate was collected in 2008 during an outbreak in the Sardinian province of Sassari. Viral DNA was purified from a blood sample of a viremic pig (6). Initial sequencing was performed on an Illumina MiSeq using the Nextera XT kit for library construction and the V3 reagent kit for 300-bp paired-end reads. The reads were de novo assembled using MIRA version 4.0.2, with default settings. BLASTn comparison of contigs with the NCBI nt database identified Benin 97/1 (accession no. AM712239) as the most similar reference genome. The abundance of ASFV in the DNA sample was estimated by mapping quality-filtered and trimmed reads to the reference genome using the FASTX-Toolkit and Bowtie 2 (7). This revealed that 67.80% of the reads belonged to ASFV and also identified regions with low mapping quality or coverage. These regions either sufficiently diverged from the reference to prevent mapping or contained repetitive elements, such as tandem repeats. The Pacific Biosciences (PacBio) RSII platform was used to generate long-read sequence data that potentially could reduce the assembly complexity (8). A total of 56,320 PacBio subreads, with a mean mapped read length of 2.44 kb, were generated from a 2.5-kb library on a single-molecule real-time (SMRT) cell. The SMRT Analysis system version 2.3.0 was used for de novo assembly, resulting in three major contigs. These were combined with the MiSeq contigs into a single consensus sequence using CodonCode Aligner version 6.0.2, and the ITRs were manually corrected. Regions of low quality were verified by PCR and Sanger sequencing.

The complete genome consists of 184,638 nucleotides and has a mean GC content of 38.5%. Annotation was performed by using the GATU software (9), with selected ASFV annotated genome references from GenBank, and Prokka version 1.11 (10). All annotations were combined and manually curated using the Ugene software package (11). The most similar ASFV sequences at the time of analysis were Benin 97/1 (accession no. AM712239) and E75 (accession no. FN557520), both with 99% identity and between 98 and 99% query coverage, as revealed by BLASTn search against the NCBI nt database. Considering the high genetic similarity, it is reasonable to conclude that 47/Ss/08 belongs to the same virulent subgroup as Benin 97/1 and E75 (12).

Accession number(s).

The genome sequence of the ASFV isolate 47/Ss/08 has been deposited in GenBank under the accession number KX354450.

ACKNOWLEDGMENTS

This work was supported by Epi-SEQ, a research project supported under the second joint call for transnational research projects by EMIDA ERA-NET (FP7 project no. 219235). Financial support was also obtained from the Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning, Formas (grant number 221-2012-586).

We acknowledge the support of the National Genomics Infrastructure (NGI)/Uppsala Genome Center and UPPMAX for providing assistance with Pacific Biosciences sequencing and computational infrastructure.

Footnotes

Citation Granberg F, Torresi C, Oggiano A, Malmberg M, Iscaro C, De Mia GM, Belák S. 2016. Complete genome sequence of an African swine fever virus isolate from Sardinia, Italy. Genome Announc 4(6):e01220-16. doi:10.1128/genomeA.01220-16.

REFERENCES

  • 1.Costard S, Wieland B, de Glanville W, Jori F, Rowlands R, Vosloo W, Roger F, Pfeiffer DU, Dixon LK. 2009. African swine fever: how can global spread be prevented? Philos Trans R Soc Lond B Biol Sci 364:2683–2696. doi: 10.1098/rstb.2009.0098. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Bastos AD, Penrith ML, Crucière C, Edrich JL, Hutchings G, Roger F, Couacy-Hymann E, R Thomson G. 2003. Genotyping field strains of African swine fever virus by partial p72 gene characterisation. Arch Virol 148:693–706. doi: 10.1007/s00705-002-0946-8. [DOI] [PubMed] [Google Scholar]
  • 3.Gallardo C, Mwaengo DM, Macharia JM, Arias M, Taracha EA, Soler A, Okoth E, Martín E, Kasiti J, Bishop RP. 2009. Enhanced discrimination of African swine fever virus isolates through nucleotide sequencing of the p54, p72, and pB602L (CVR) genes. Virus Genes 38:85–95. doi: 10.1007/s11262-008-0293-2. [DOI] [PubMed] [Google Scholar]
  • 4.Giammarioli M, Gallardo C, Oggiano A, Iscaro C, Nieto R, Pellegrini C, Dei Giudici S, Arias M, De Mia GM. 2011. Genetic characterisation of African swine fever viruses from recent and historical outbreaks in Sardinia (1978–2009). Virus Genes 42:377–387. doi: 10.1007/s11262-011-0587-7. [DOI] [PubMed] [Google Scholar]
  • 5.Sanna G, Dei Giudici S, Bacciu D, Angioi PP, Giammarioli M, De Mia GM, Oggiano A. 2016. Improved strategy for molecular characterization of African swine fever viruses from Sardinia, based on analysis of p30, CD2V and I73R/I329L Variable regions. Transbound Emerg Dis [Epub ahead of print]. [DOI] [PubMed] [Google Scholar]
  • 6.Wesley RD, Quintero JC, Mebus CA. 1984. Extraction of viral DNA from erythrocytes of swine with acute African swine fever. Am J Vet Res 45:1127–1131. [PubMed] [Google Scholar]
  • 7.Langmead B, Salzberg SL. 2012. Fast gapped-read alignment with Bowtie 2. Nat Methods 9:357–359. doi: 10.1038/nmeth.1923. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Koren S, Harhay GP, Smith TP, Bono JL, Harhay DM, McVey SD, Radune D, Bergman NH, Phillippy AM. 2013. Reducing assembly complexity of microbial genomes with single-molecule sequencing. Genome Biol 14:R101. doi: 10.1186/gb-2013-14-9-r101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Tcherepanov V, Ehlers A, Upton C. 2006. Genome annotation transfer utility (GATU): rapid annotation of viral genomes using a closely related reference genome. BMC Genomics 7:150. doi: 10.1186/1471-2164-7-150. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Seemann T. 2014. Prokka: rapid prokaryotic genome annotation. Bioinformatics 30:2068–2069. doi: 10.1093/bioinformatics/btu153. [DOI] [PubMed] [Google Scholar]
  • 11.Okonechnikov K, Golosova O, Fursov M, UGENE team . 2012. Unipro UGENE: a unified bioinformatics toolkit. Bioinformatics 28:1166–1167. doi: 10.1093/bioinformatics/bts091. [DOI] [PubMed] [Google Scholar]
  • 12.De Villiers EP, Gallardo C, Arias M, da Silva M, Upton C, Martin R, Bishop RP. 2010. Phylogenomic analysis of 11 complete African swine fever virus genome sequences. Virology 400:128–136. doi: 10.1016/j.virol.2010.01.019. [DOI] [PubMed] [Google Scholar]

Articles from Genome Announcements are provided here courtesy of American Society for Microbiology (ASM)

RESOURCES