| Literature DB >> 34209060 |
Dennis Getange1,2, Joel L Bargul1,2, Esther Kanduma3, Marisol Collins4, Boku Bodha5, Diba Denge5, Tatenda Chiuya1, Naftaly Githaka6, Mario Younan7, Eric M Fèvre4,6, Lesley Bell-Sakyi4, Jandouwe Villinger1.
Abstract
Ticks and tick-borne pathogens (TBPs) are major constraints to camel health and production, yet epidemiological data on their diversity and impact on dromedary camels remain limited. We surveyed the diversity of ticks and TBPs associated with camels and co-grazing sheep at 12 sites in Marsabit County, northern Kenya. We screened blood and ticks (858 pools) from 296 camels and 77 sheep for bacterial and protozoan TBPs by high-resolution melting analysis and sequencing of PCR products. Hyalomma (75.7%), Amblyomma (17.6%) and Rhipicephalus (6.7%) spp. ticks were morphologically identified and confirmed by molecular analyses. We detected TBP DNA in 80.1% of blood samples from 296 healthy camels. "Candidatus Anaplasma camelii", "Candidatus Ehrlichia regneryi" and Coxiella burnetii were detected in both camels and associated ticks, and Ehrlichia chaffeensis, Rickettsia africae, Rickettsia aeschlimannii and Coxiella endosymbionts were detected in camel ticks. We also detected Ehrlichia ruminantium, which is responsible for heartwater disease in ruminants, in Amblyomma ticks infesting camels and sheep and in sheep blood, indicating its endemicity in Marsabit. Our findings also suggest that camels and/or the ticks infesting them are disease reservoirs of zoonotic Q fever (C. burnetii), ehrlichiosis (E. chaffeensis) and rickettsiosis (R. africae), which pose public health threats to pastoralist communities.Entities:
Keywords: Anaplasma; Coxiella; Ehrlichia; Rickettsia; dromedary camels; heartwater; tick-borne pathogens; ticks; zoonosis
Year: 2021 PMID: 34209060 PMCID: PMC8306667 DOI: 10.3390/microorganisms9071414
Source DB: PubMed Journal: Microorganisms ISSN: 2076-2607
Figure 1Sampling sites in Marsabit County, Kenya, showing the spatial distribution of tick species collected from camels and co-grazing sheep. Maps were created using the open-source software, QGIS v.3.10.6. Pie charts indicate numbers of ticks collected at sampling sites.
Primers used for molecular identification of ticks and tick-borne pathogens.
| Primer Name | Target Gene | Sequence (5’–3’) | Amplicon Size (bp) | Reference |
|---|---|---|---|---|
|
| Tick COI | ATTCAACCAATCATAAAGATATTGG | 658 | [ |
|
| Tick 12S rRNA | TACTATGTTACGACTTAT | 430 | [ |
|
| Tick 16S rRNA | AATTGCTGTAGTATTTTGAC | 450 | [ |
|
| GAACGCTATCGGTATGCTTAACACA | 364 | [ | |
|
|
| AAACAATAATCAAGGTACTGT | 856 | [ |
|
| TGGTATTCTTGCCGATGAC | 687 | [ | |
|
| CGTAAAGGGCACGTAGGTGGACTA | 200 | [ | |
|
| TTTATCGCTATTAGATGAGCCTATG | 451 | [ | |
|
| GGTACCYACAGAAGAAGTCC | 1030 | [ | |
|
| CGGTGGAGCATGTGGTTTAATTC | 300 | [ | |
|
| GAGGTAGTGACAAGAAATAACAATA | 460–520 bp | [ |
Tick species collected from camels and co-herded sheep in Marsabit, Kenya, in February2020 to March 2020.
| From 296 Camels | From 77 Co-Herded Sheep | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Species | Male | Female | No. of Pools | No. of Ticks | Percent (%) | Male | Female | No. of Pools | No. of Ticks | Percent (%) |
|
| 80 | 49 | 87 | 129 |
| 11 | 4 | 12 | 15 |
|
|
| 186 | 144 | 120 | 330 |
| 20 | 4 | 12 | 24 |
|
|
| 624 | 295 | 233 | 919 |
| |||||
|
| 557 | 253 | 251 | 810 |
| 1 | 1 | 1 |
| |
|
| 19 | 6 | 12 | 25 |
| |||||
|
| 153 | 68 | 44 | 221 |
| |||||
|
| 73 | 31 | 66 | 104 |
| 1 | 1 | 1 |
| |
|
| 30 | 42 | 24 | 72 |
| 22 | 23 | 22 | 45 |
|
|
| 1734 | 876 | 858 |
| 55 | 31 |
| 86 | ||
Figure 2Images of adults of tick species collected from camels in northern Kenya. (A) Hyalomma rufipes male; (B) Hy. rufipes, female; (C) Hyalomma impeltatum, male; (D) Rhipicephalus pulchellus, male; (E) Rh. pulchellus, female; (F) Hyalomma dromedarii, male; (G) Hyalomma truncatum, male; (H) Amblyomma lepidum, male; (I) Am. lepidum, female; (J) Amblyomma gemma, male; (K) Am. gemma, female; (L) Rhipicephalus camicasi, male. The images were staged under a Stemi 2000-C microscope (Zeiss, Oberkochen, Germany) after thawing from liquid nitrogen and photographed using a digital microscope connected to an Axio-cam ERc 5s camera (Zeiss).
Figure 3Maximum likelihood phylogenetic trees of representative gene sequences from samples of ticks collected from camels in Northern Kenya. (A) 12S rRNA, (B) COI mitochondrial and (C) 16S rRNA gene sequences. Sequences obtained from this study, with their GenBank accession numbers, are noted in bold. Bootstrap values at the major nodes are of percentage agreement among 1000 bootstrap replicates. The branch length scale represents substitutions per site. Trees are rooted to outgroup sequences (indicated in brackets; top sequence of each tree).
Figure 4Representative melt rate profiles of tick-borne pathogens in tick samples collected from camels and sheep in northern Kenya. PCR-amplicon melt rates are represented as change in fluorescence with increasing temperature (dF/dT) of (A) Anaplasma 16S rRNA, (B) Ehrlichia 16S rRNA, (C) Rickettsia 16S rRNA and (D) Theileria 18S rRNA gene amplicons.
Minimum infection rates for tick-borne pathogens (TBPs) identified in ticks and blood samples collected from camels in Marsabit, Kenya (February 2020 to March 2020).
| Bacterial | TBP Detection in Ticks—Number of Positive Pools (Minimum Infection Rate) | Camels with TBPs | GenBank Accessions | Nucleotide Sequence Identity | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
|
|
|
|
|
| Study | Reference GenBank | |||
|
| 919 | 810 | 221 | 25 | 129 | 330 | 72 | 104 | 296 | |||
|
| 254 | 251 | 44 | 12 | 87 | 120 | 24 | 66 | ||||
|
| 16 | 17 | MT929193-MT929195 | NR_074155, KU721071, CP001612 | 100% | |||||||
|
| 22 | 46 | 6 | 43 | MT929189-MT929192 | KF843826 | 100% | |||||
|
| 2 | MT929188 | NR_074500, NR_074501, CP007473-CP007480 | 100% | ||||||||
|
| 1 | 1 | 3 | 18 | MT929196-MT929197 | MN726921, KJ410256 | 100% | |||||
|
| 25 | 27 | 6 | 1 | 11 | 20 | 6 | 7 | 233 | MT929199-MT929201, MT929169-MT929177 | MT510533, MK388297 | 100% |
|
| 1 | MT929202 | KJ410248, KJ410249 | 100% | ||||||||
|
| 14 | 31 | MT900495-MT900496 | KU721071, KT032136, CP0011612 | 100% | |||||||
|
| 3 | 87 | 6 | 1 | 5 | MT900489-MT900494 | MK215215-MK215218 | 100% | ||||
|
| 11 | 12 | 5 | 10 | MT900497-MT900501 | DQ379976, KT954146, MT268529 | 100% | |||||
|
| 12 | 16 | 6 | MW541904-MW541911 | EU143670, JX846589, MK026405 | 98–100% | ||||||
|
| 2 | 8 | 2 | 1 | 1 | 3 | 2 | KP003988 | 99% | |||
1 amplified using the primer pair Ehrlichia16S F and Ehrlichia16S R (29) (Table 1).
Minimum infection rates for tick-borne pathogens (TBPs) identified in ticks and blood samples collected from sheep in Marsabit, Kenya (February 2020 to March 2020).
| Bacterial Species | TBP Detection in Ticks—Number of Positive Pools | Sheep with TBPs | GenBank Accessions | Nucleotide Sequence Identity | |||||
|---|---|---|---|---|---|---|---|---|---|
|
|
|
|
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| Study Sequences | Reference | |||
|
| 1 tick | 14 ticks | 24 ticks | 45 ticks | 1 tick | 77 sheep | |||
|
| 1 | 12 | 12 | 22 | 1 | ||||
|
| 2 (14.29%) | 1 (4.17%) | 1 (1.30%) | MW467546 | NR_074155, MH246936, U03776 | 100% | |||
|
| 2 (2.60%) | NR_074501 | 100% | ||||||
|
| 2 (14.29%) | 2 (8.33%) | 7 (15.56%) | 1 (100%) | 68 (88.31%) | MW467547-MW467552 | MG869525 | 100% | |
|
| 1 (2.22%) | MW690202 | MN630836 | 100% | |||||
|
| 2 (14.29%) | 4 (16.67%) | MW478135-MW478138 | KU721071 | 100% | ||||
|
| 1 (2.22%) | 62 (80.52%) | MW467555-MW467561 | MN712508, KX273858, MG738321 | 100% | ||||
Figure 5Maximum likelihood phylogenetic trees of (A) 1030-bp Anaplasma spp. and 451-bp Ehrlichia spp. 16S rRNA sequences and (B) 857-bp Rickettsia spp. ompB sequences. Sequences amplified from blood and ticks infesting camels in northern Kenya in this study are indicated in bold. Bootstrap values at the major nodes are of percentage agreement among 1000 bootstrap replicates. The branch length scale represents substitutions per site. Trees are rooted to outgroup sequences (indicated in brackets; top sequence of each tree).