| Literature DB >> 29216890 |
Phillip Senzo Mtshali1, Moses Sibusiso Mtshali2,3.
Abstract
BACKGROUND: Bovine babesiosis is one of the most economically important tick-borne diseases threatening the livestock industry globally including South Africa. This disease is induced by members of Babesia bovis species. Antigenic variations among geographical strains of B. bovis, and these heterogeneities are cited as the mechanism by which parasites evade from host immune system and they hamper the successful development of a single vaccine that could confer absolute protection. Given the economic importance of livestock industry in South Africa, the extent of genetic diversity among field isolates of B. bovis merits extensive investigation. In this study, we genetically characterized partial genes of B. bovis and studied the phylogenetic relationship among B. bovis isolates of South African origin. The genes, which were PCR-amplified from bovine samples collected from different locations across South Africa, coded for rhoptry-associated protein 1 (BbRAP-1), cysteine peptidase 2 (BbCP2), spherical body protein 4 (BbSBP-4) and β-tubulin (BbβTUB). Phylogenies were inferred from newly determined sequences using the neighbour-joining approach.Entities:
Keywords: Babesia bovis; Cattle; Nested PCR assays; Phylogenies; South Africa
Mesh:
Substances:
Year: 2017 PMID: 29216890 PMCID: PMC5721623 DOI: 10.1186/s12917-017-1261-7
Source DB: PubMed Journal: BMC Vet Res ISSN: 1746-6148 Impact factor: 2.741
Primer sets used to amplify DNA fragments specific for Babesia bovis
| Gene | Assay | Primer name | Oligonucleotide primers (5′ → 3′) | Annealing | Product sizea | Reference |
|---|---|---|---|---|---|---|
|
| PCR | BoF | F-CACGAGGAAGGAACTACCGATGTTGA | 55 °C | 360 bp | [ |
| BoR | R-CCAAGGAGCTTCAACGTACGAGGTCA | [ | ||||
| nPCR | BoFN | F-TCAACAAGGTACTCTATATGGCTACC | 57 °C | 298 bp | [ | |
| BoRN | R-CTACCGAGCAGAACCTTCTTCACCAT | [ | ||||
|
| PCR | CpBovF | F-TGCATCGGACCTATCCAACC | 57 °C | 960 bp | This study |
| CpBovR | R-TCAGCAGCCAAATAAGGCCA | This study | ||||
| nPCR | CpBov3 | F-ATCGGAAGAAGTCGCCGTTG | 65 °C | 829 bp | This study | |
| CpBov4 | R-AAGCGTAGTCGCTGTAACCA | This study | ||||
|
| PCR | BbSBP1 | F-AGTTGTTGGAGGAGGCTAAT | 57 °C | 887–905 bp | This study |
| BbSBP2 | R-CTTCTCGGCGTCCTTTTC | This study | ||||
| nPCR | BbSBP3 | F-CCGCATTCTTAAGACTTCTGA | 60 °C | 726–744 bp | This study | |
| BbSBP4 | R-GTTACCATTTCATCGTTGTCA | This study | ||||
|
| PCR | BTbovA | F-AGAGCGGTACTTACCACGGA | 61 °C | 1203 bp | This study |
| BTbovB | R-CGTCGTCGATGGTTGCTTCT | This study | ||||
| nPCR | BTbovC | F-GTTCCACGCGCTGTACTCAT | 65 °C | 954 bp | This study | |
| BTbovD | R-CATGTCCTGGATGGCGGTAG | This study |
aTheoretical product sizes based on nucleotide gene sequences of several B. bovis strains used as templates for primer design
GenBank accession numbers of nucleotide sequences generated in this study
| Province | Sample ID | GenBank accession number | ||
|---|---|---|---|---|
|
|
|
| ||
| KwaZulu-Natal | KZN-C1 | – | KF626629 | – |
| KZN-C2 | KF626619 | KF626630 | KF626639 | |
| INDIA | KF626620 | KF626631 | KF626640 | |
| Mpumalanga | MP-C16 | KF626621 | – | – |
| MP-C17 | – | – | KF626641 | |
| MP-C18 | KF626622 | KF626632 | KF626642 | |
| Western Cape | WC-10270 | KF626623 | KF626633 | KF626643 |
| Gauteng | GP-C7 | KF626624 | KF626634 | KF626644 |
| GP-C15 | – | KF626635 | – | |
| GP-C17 | KF626625 | KF626636 | KF626645 | |
| Eastern Cape | EC-23A | KF626626 | – | – |
| North West | NW-C2 | KF626627 | KF626637 | KF626646 |
| NW-C4 | KF626628 | KF626638 | KF626647 | |
(−-) No sequences generated
Pairwise comparisons of the BbSBP-4 nucleotide gene sequences of South African Babesia bovis isolates and GenBank strains
| Isolate origin | 01 | 02 | 03 | 04 | 05 | 06 | 07 | 08 | 09 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| South Africa | 01 | 100 | 100 | 94.5 | 94.5 | 94.2 | 94.4 | 94.4 | 93.7 | 94.4 | 94.5 | 94.5 | 94.5 | 94.8 | 94.8 | 98.3 | 98.1 | 98.3 | 98.1 | 98.3 | 98.8 | 100 | 100 |
| Ghana | 02 | 100 | 94.5 | 94.5 | 94.2 | 94.4 | 94.4 | 93.7 | 94.4 | 94.5 | 94.5 | 94.5 | 94.8 | 94.8 | 98.3 | 98.1 | 98.3 | 98.1 | 98.3 | 98.8 | 100 | 100 | |
| Brazil | 03 | 100 | 100 | 99.7 | 99.9 | 99.9 | 99.2 | 99.9 | 100 | 100 | 100 | 98.6 | 98.6 | 96.1 | 95.9 | 96.1 | 96.2 | 96.2 | 95.6 | 94.5 | 94.5 | ||
| Japan | 04 | 100 | 99.7 | 99.9 | 99.9 | 99.2 | 99.9 | 100 | 100 | 100 | 98.6 | 98.6 | 96.1 | 95.9 | 96.1 | 96.2 | 96.2 | 95.6 | 94.5 | 94.5 | |||
| Mongolia | 05 | 100 | 99.6 | 99.6 | 99.2 | 99.6 | 99.7 | 99.7 | 99.7 | 98.3 | 98.3 | 95.8 | 95.6 | 95.8 | 95.9 | 95.9 | 95.4 | 94.2 | 94.2 | ||||
| Syria | 06 | 100 | 99.7 | 99.0 | 99.7 | 99.9 | 99.9 | 99.9 | 98.5 | 98.5 | 95.9 | 95.8 | 95.9 | 96.1 | 96.1 | 95.5 | 94.4 | 94.4 | |||||
| Syria | 07 | 100 | 99.0 | 99.7 | 99.9 | 99.9 | 99.9 | 98.5 | 98.5 | 95.9 | 95.8 | 95.9 | 96.1 | 96.1 | 95.5 | 94.4 | 94.4 | ||||||
| Thailand | 08 | 100 | 99.0 | 99.2 | 99.2 | 99.2 | 97.9 | 97.9 | 95.2 | 95.1 | 95.2 | 95.4 | 95.4 | 94.8 | 93.7 | 93.7 | |||||||
| Thailand | 09 | 100 | 99.9 | 99.9 | 99.9 | 98.5 | 98.5 | 95.9 | 95.8 | 95.9 | 96.1 | 96.1 | 95.5 | 94.4 | 94.4 | ||||||||
| Thailand | 10 | 100 | 100 | 100 | 98.6 | 98.6 | 96.1 | 95.9 | 96.1 | 96.2 | 96.2 | 95.6 | 94.5 | 94.5 | |||||||||
| USA | 11 | 100 | 100 | 98.6 | 98.6 | 96.1 | 95.9 | 96.1 | 96.2 | 96.2 | 95.6 | 94.5 | 94.5 | ||||||||||
| USA | 12 | 100 | 98.6 | 98.6 | 96.1 | 95.9 | 96.1 | 96.2 | 96.2 | 95.6 | 94.5 | 94.5 | |||||||||||
| MP-C18 | 13 | 100 | 100 | 96.3 | 96.2 | 96.3 | 96.5 | 96.5 | 95.9 | 94.8 | 94.8 | ||||||||||||
| NW-C4 | 14 | 100 | 96.3 | 96.2 | 96.3 | 96.5 | 96.5 | 95.9 | 94.8 | 94.8 | |||||||||||||
| GP-C17 | 15 | 100 | 99.9 | 100 | 99.9 | 99.7 | 99.5 | 98.3 | 98.3 | ||||||||||||||
| INDIA | 16 | 100 | 99.9 | 99.7 | 99.6 | 99.3 | 98.1 | 98.1 | |||||||||||||||
| KZN-C1 | 17 | 100 | 99.9 | 99.7 | 99.5 | 98.3 | 98.3 | ||||||||||||||||
| NW-C2 | 18 | 100 | 99.9 | 99.3 | 98.1 | 98.1 | |||||||||||||||||
| GP-C7 | 19 | 100 | 99.5 | 98.3 | 98.3 | ||||||||||||||||||
| GP-C15 | 20 | 100 | 98.8 | 98.8 | |||||||||||||||||||
| KZN-C2 | 21 | 100 | 100 | ||||||||||||||||||||
| WC-10270 | 22 | 100 |
Accession numbers of BbSBP-4 sequences extracted from GenBank are (01 through 12): AB569303, AB569301, AB569300, AB594813, AB569302, AB617639, AB617641, AB571871, AB586125, AB594814, AF486506 and AF486507, respectively. Accession numbers of sequences generated in this study are (13 through 22): KF626632, KF626638, KF626636, KF626631, KF626629, KF626637, KF626634, KF626635, KF626630, KF626633
Fig. 1Multiple sequence alignments of partial BbSBP-4 nucleotide gene sequences (a) and deduced amino acid sequences (b) of 12 GenBank strains and 10 South African isolates of Babesia bovis. The dots and dashes respectively indicate sequence identities and gaps in relation to a reference sequence (accession number XM_001610418). Accession numbers of sequences extracted from GenBank (01 to 14) correspond to those given in Table 3
Fig. 2Phylogenetic tree inferred with BbCP2 gene sequences (809 nt) of several B. bovis isolates from bovine samples collected at various geographical regions in South Africa, together with corresponding sequences retrieved from GenBank. Accession numbers are given in parentheses. Bootstrap values calculated as percentages of 1000 replicates are indicated at branching points. The horizontal scale bar shows the number of base substitutions per site
Fig. 3A neighbour-joining tree generated with BbSBP-4 nucleotide gene sequences (726–744 nt) of South African B. bovis isolates (in bold type), together with sequences previously published in GenBank. Accession numbers are given in parentheses. Bootstrap values calculated as percentages of 1000 replicates are indicated at branching points. The horizontal scale bar shows the number of base substitutions per site
Fig. 4Phylogenetic tree based on BbβTUB nucleotide gene sequences (920 nt) derived from blood samples collected from South African cattle (in bold type), together with sequences previously published in GenBank (accession numbers in parentheses). Bootstrap values calculated as percentages of 1000 replicates are indicated at branching points. The horizontal scale bar shows the number of base substitutions per site. Toxoplasma gondii GUYMAT (accession no. JX045452) was used as an outgroup