Literature DB >> 34236230

Molecular Characterization of Southern African Territories 2 (SAT2) Serotype of Foot-and-Mouth Disease Virus from Nigeria in 2017 to 2018.

Bridget Fomenky1, Kate Hole1, Hussaini Ularamu2, Yiltawe Wungak2, David Ehizibolo2, Michelle Nebroski1, Peter Kruczkiewicz1, Cody Buchanan1, Oliver Lung1, Charles Nfon1.   

Abstract

This report describes the nucleotide sequences of eight Southern African Territories 2 (SAT2) serotype foot-and-mouth disease virus strains from 2017 to 2018 outbreaks in cattle in Nigeria. These viruses belong to topotype VII of SAT2 and were closely related to previous isolates from Nigeria and other West African countries.

Entities:  

Year:  2021        PMID: 34236230      PMCID: PMC8265221          DOI: 10.1128/MRA.00362-21

Source DB:  PubMed          Journal:  Microbiol Resour Announc        ISSN: 2576-098X


ANNOUNCEMENT

Foot-and-mouth disease virus (FMDV), genus Aphthovirus, family Picornaviridae, causes a highly communicable disease of cloven-hoofed animals responsible for production losses and trade restrictions (1, 2). Seven serotypes (O, A, C, Asia 1, and South African Territories 1 [SAT1], 2, and 3) exist (3). Serotypes O, A, and SAT1, -2, and -3 have been reported in Nigeria (4–6). Due to constant evolution of FMDV and porous borders in West Africa, monitoring of circulating FMDV is required in order to facilitate vaccine selection. Here, epithelial tissues in BD universal transport system vials (VWR, Canada) were collected from FMD outbreaks in Plateau State (PL) and Bauchi State (BAU) in Nigeria in 2017 to 2018 and sent to the National Centre for Foreign Animal Disease (NCFAD), Canada. Tissue homogenates (10%) were prepared in a Precellys tissue grinding kit (ESBE Scientific, Canada) and clarified (7). RNA was extracted using the MagMax viral RNA isolation kit (Life Technologies, Canada) (8) and tested for FMDV using real-time reverse transcription-PCR (rRT-PCR) as described previously (9). Near full-genome sequences of FMDV (Table 1) were obtained from rRT-PCR-positive samples using next-generation sequencing (NGS) (10). RNA for NGS was processed as described previously (11), including DNase treatment and RNA purification prior to first-strand cDNA synthesis. Illumina Nextera XT sequencing libraries were prepared according to the manufacturer’s instructions and sequenced on a MiSeq instrument using a V3 cycling kit (Illumina). Raw sequencing data were processed with the nf-villumina Nextflow (12) workflow (https://github.com/CFIA-NCFAD/nf-villumina) for quality control, taxonomic classification, and de novo assembly (13). De novo assembly was performed with Unicycler v0.4.7 (14) in “conservative” mode to find an optimal SPAdes assembly (15) for each set of paired-end Illumina reads. Contigs were identified as FMDV using nucleotide BLAST (16, 17) search against the NCBI nucleotide database. The gene segments, including VP1, were identified with Annotate in Geneious v9.1.8 using a publicly available annotated FMDV genome. Phylogenetic analysis of obtained and previously published VP1 sequences in GenBank was performed using the Molecular Evolutionary Genetics Analysis (MEGA X) software (18), with the evolutionary history inferred using the maximum likelihood method and Hasegawa-Kishino-Yano model. A discrete gamma distribution was used to model evolutionary rate differences among sites (5 categories [+G, parameter = 0.3453]). A bootstrap value of ≥70% was considered significant.
TABLE 1

Accession numbers and identification of the FMDV SAT2 viruses from Nigeria in 2017 to 2018

Sample nameAccession no.Near-complete genome size (no. of nt)aGC content (%)Total readsAvg read length prior to processingRaw data identifier
SAT2/NIG/BAU/TR/1/2018MW7156227,63853.6479,752139.0SAMN19166821
SAT2/NIG/PL/JS/KA/1/2017MW7156237,62553.8665,056101.1SAMN19166820
SAT2/NIG/PL/KWK/02/2017MW7156247,65753.7373,482137.9SAMN19166819
SAT2/NIG/PL/LANG/02/2017MW7156257,64953.7424,730138.5SAMN19166818
SAT2/NIG/PL/PKN/01/2017MW7156267,67353.6366,152139.7SAMN19166817
SAT2/NIG/PL/PKN/02/2017MW7156277,69853.0408,684141.0SAMN19166816
SAT2/NIG/PL/WAS/01/2017MW7156287,33053.9481,220137.2SAMN19165925
SAT2/NIG/PL/WAS/03/2017MW7156297,60153.8404,476140.2SAMN19165530

nt, nucleotides.

Accession numbers and identification of the FMDV SAT2 viruses from Nigeria in 2017 to 2018 nt, nucleotides. The VP1 sequences in this study clustered within topotype VII of SAT2 and were closely related to 2018 isolates from Ghana. The 2017 PL isolates clustered together (Fig. 1). The 2018 BAU isolate was separated from the PL isolates and was closely related to isolates from Nigeria in 2014 and Cameroon in 2015.
FIG 1

The evolutionary history was inferred by using the maximum likelihood method and the Hasegawa-Kishino-Yano model. The tree with the highest log likelihood (–9305.89) is shown. The percentage of trees in which the associated taxa clustered together is shown next to the branches. Initial trees for the heuristic search were obtained automatically by applying the neighbor-join and BioNJ algorithms to a matrix of pairwise distances estimated using the maximum composite likelihood (MCL) approach and then selecting the topology with the superior log likelihood value. A discrete gamma distribution was used to model evolutionary rate differences among sites (5 categories [+G, parameter = 0.3453]). This analysis involved 94 nucleotide sequences. All positions containing gaps and missing data were eliminated (complete deletion option). There was a total of 635 positions in the final data set. Evolutionary analyses were conducted in MEGA X. The Nigerian isolates in this study are represented by dark stars. The original tree was exported from MEGA X as a Newick tree into ITOL v5 (https://itol.embl.de) for tree display and annotation. A bootstrap value of ≥70% was considered significant. The Roman numerals i to xiv represent the 14 known topotypes of FMDV SAT2.

The evolutionary history was inferred by using the maximum likelihood method and the Hasegawa-Kishino-Yano model. The tree with the highest log likelihood (–9305.89) is shown. The percentage of trees in which the associated taxa clustered together is shown next to the branches. Initial trees for the heuristic search were obtained automatically by applying the neighbor-join and BioNJ algorithms to a matrix of pairwise distances estimated using the maximum composite likelihood (MCL) approach and then selecting the topology with the superior log likelihood value. A discrete gamma distribution was used to model evolutionary rate differences among sites (5 categories [+G, parameter = 0.3453]). This analysis involved 94 nucleotide sequences. All positions containing gaps and missing data were eliminated (complete deletion option). There was a total of 635 positions in the final data set. Evolutionary analyses were conducted in MEGA X. The Nigerian isolates in this study are represented by dark stars. The original tree was exported from MEGA X as a Newick tree into ITOL v5 (https://itol.embl.de) for tree display and annotation. A bootstrap value of ≥70% was considered significant. The Roman numerals i to xiv represent the 14 known topotypes of FMDV SAT2. SAT2, previously restricted to southern Africa, has become established in other sub-Saharan African countries, with sporadic spread into North Africa and the Middle East. Topotype VII is the predominant SAT2 outside southern Africa, and our data confirm its presence in Nigeria in 2017 to 2018, in agreement with recent reports of SAT2 in Nigeria, Cameroon, and other West African countries from 2013 to 2018 (5, 19). Animal movement, especially for trade in Nigeria from neighboring Cameroon, Chad, and Sudan (6, 20), facilitates FMDV spread (21). Therefore, the FMD situation in Nigeria and neighboring countries is dynamic, and a regional control strategy remains vital.

Data availability.

The sequences in this report and the associated raw data have been deposited in GenBank and the NCBI SRA under the accession numbers and identifiers shown in Table 1.
  21 in total

1.  Detection of genome, antigen, and antibodies in oral fluids from pigs infected with foot-and-mouth disease virus.

Authors:  Chandrika Senthilkumaran; Ming Yang; Hilary Bittner; Aruna Ambagala; Oliver Lung; Jeffrey Zimmerman; Luis G Giménez-Lirola; Charles Nfon
Journal:  Can J Vet Res       Date:  2017-04       Impact factor: 1.310

2.  Foot-and-Mouth Disease in Red Deer - Experimental Infection and Test Methods Performance.

Authors:  R Kittelberger; C Nfon; K Swekla; Z Zhang; K Hole; H Bittner; T Salo; M Goolia; C Embury-Hyatt; R Bueno; M Hannah; R Swainsbury; C O'Sullivan; R Spence; R Clough; A McFadden; T Rawdon; S Alexandersen
Journal:  Transbound Emerg Dis       Date:  2015-04-23       Impact factor: 5.005

3.  Molecular characterization of foot-and-mouth disease viruses collected from Sudan.

Authors:  M Habiela; N P Ferris; G H Hutchings; J Wadsworth; S M Reid; M Madi; K Ebert; K J Sumption; N J Knowles; D P King; D J Paton
Journal:  Transbound Emerg Dis       Date:  2010-07-07       Impact factor: 5.005

4.  MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.

Authors:  Sudhir Kumar; Glen Stecher; Michael Li; Christina Knyaz; Koichiro Tamura
Journal:  Mol Biol Evol       Date:  2018-06-01       Impact factor: 16.240

5.  Experimental foot-and-mouth disease virus infection in white tailed deer.

Authors:  M Moniwa; C Embury-Hyatt; Z Zhang; K Hole; A Clavijo; J Copps; S Alexandersen
Journal:  J Comp Pathol       Date:  2012-04-18       Impact factor: 1.311

6.  Characterization of transboundary foot-and-mouth disease viruses in Nigeria and Cameroon during 2016.

Authors:  David Odion Ehizibolo; Ian H Fish; Barbara Brito; Miranda R Bertram; Abdullahi Ardo; Hussaini G Ularamu; David D Lazarus; Yiltawe S Wungak; Chika I Nwosuh; George R Smoliga; Ethan J Hartwig; Steven James Pauszek; Simon Dickmu; Souley Abdoulkadiri; Jonathan Arzt
Journal:  Transbound Emerg Dis       Date:  2020-01-07       Impact factor: 5.005

Review 7.  Molecular epidemiology of foot-and-mouth disease virus.

Authors:  N J Knowles; A R Samuel
Journal:  Virus Res       Date:  2003-01       Impact factor: 3.303

Review 8.  The economic impacts of foot and mouth disease - what are they, how big are they and where do they occur?

Authors:  T J D Knight-Jones; J Rushton
Journal:  Prev Vet Med       Date:  2013-08-16       Impact factor: 2.670

9.  Molecular Epidemiology of Foot-and-Mouth Disease Virus in the Context of Transboundary Animal Movement in the Far North Region of Cameroon.

Authors:  Miranda R Bertram; Carla Bravo de Rueda; Rebecca Garabed; Simon Dickmu Jumbo; Mark Moritz; Steven Pauszek; Souley Abdoulkadiri; Luis L Rodriguez; Jonathan Arzt
Journal:  Front Vet Sci       Date:  2018-12-14

10.  Genome Sequences of Foot-and-Mouth Disease Virus O/ME-SA/Ind-2001e Strains Isolated in Pakistan.

Authors:  Hayley M Hicks; Jemma Wadsworth; Mehreen Azhar; Muhammad Afzal; Shumaila Manzoor; Muhammad Abubakar; Ehtisham-Ul-Haq Khan; Donald P King; Nick J Knowles
Journal:  Microbiol Resour Announc       Date:  2020-04-30
View more
  1 in total

1.  Development of reverse-transcriptase, real-time PCR assays to distinguish the Southern African Territories (SAT) serotypes 1 and 3 and topotype VII of SAT2 of Foot-and-Mouth Disease Virus.

Authors:  Taeyo Chestley; Patrycja Sroga; Michelle Nebroski; Kate Hole; Hussaini Ularamu; Oliver Lung; Charles Nfon
Journal:  Front Vet Sci       Date:  2022-09-20
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.