| Literature DB >> 34949216 |
Yongcai He1,2, Wangkai Chen1,2, Ping Ma1,2, Yaoping Wei1,2, Ruishan Li1,2, Zhihong Chen1,2, Shuyu Tian1,2, Tongsheng Qi1,2, Jinfang Yang1,2, Yali Sun1,2, Jixu Li1,2, Ming Kang1,2, Ying Li3,4.
Abstract
BACKGROUND: Anaplasma, Babesia and Theileria are tick-borne pathogens (TBPs) that affect livestock worldwide. However, information on these pathogens in yaks (Bos grunniens) and Tibetan sheep (Ovis aries) on the Qinghai-Tibet Plateau (QTP), China, is limited. In this study, Anaplasma spp., Babesia spp. and Theileria spp. infections were assessed in yaks and Tibetan sheep from Qinghai Province.Entities:
Keywords: Qinghai-Tibet Plateau; Tibetan sheep; Tick-borne pathogens; Yak
Mesh:
Year: 2021 PMID: 34949216 PMCID: PMC8697493 DOI: 10.1186/s13071-021-05109-2
Source DB: PubMed Journal: Parasit Vectors ISSN: 1756-3305 Impact factor: 3.876
Fig. 1Map of the Qinghai-Tibetan Plateau and Qinghai Province showing the sampling sites and altitude (in meters). Rhombuses indicate the sampling locations
The prevalence of tick-borne pathogens (TBPs) in yaks and Tibetan sheep on the Qinghai-Tibetan Plateau (QTP)
| TBPs | Prevalence (%) of TBPs | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Yaks | Tibetan sheep | Total | |||||||
| Guoluo | Yushu | Total | Guoluo | Yushu | Total | Guoluo | Yushu | Total | |
| ( | ( | ( | ( | ( | ( | ( | ( | ( | |
| 0 | 0 | 0 | 132 (72.1) | 30 (23.8) | 162 (52.4) | 132 (33.6) | 30 (8.8) | 162 (22.1) | |
| 13 (6.2) | 14 (6.5) | 27 (6.4) | 92 (50.3) | 1 (0.8) | 93 (30.1) | 105 (26.7) | 15 (4.4) | 120 (16.3) | |
| 0 | 0 | 0 | 154 (84.2) | 19 (15.1) | 173 (56.0) | 154 (39.2) | 19 (5.6) | 173 (23.6) | |
| 0 | 0 | 0 | 29 (15.8) | 31 (24.6) | 60 (19.4) | 29 (7.4) | 31 (9.1) | 60 (8.2) | |
| 5 (2.4) | 15 (7.0) | 20 (4.7) | 0 | 0 | 0 | 5 (1.3) | 15 (4.4) | 20 (2.7) | |
| 6 (2.9) | 8 (3.7) | 14 (3.3) | 120 (65.6) | 8 (6.3) | 128 (41.4) | 126 (32.1) | 16 (4.7) | 142 (19.3) | |
Single and mixed infections of TBPs in yaks and Tibetan sheep on the QTP
| TBPs | Prevalence (%) of TBPs | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Yaks | Tibetan sheep | Total | |||||||
| Guoluo | Yushu | Total | Guoluo | Yushu | Total | Guoluo | Yushu | Total | |
| ( | ( | ( | ( | ( | ( | ( | ( | ( | |
| 0 | 0 | 0 | 1 (0.5) | 13 (10.3) | 14 (4.5) | 1 (0.3) | 13 (3.8) | 14 (1.9) | |
| 13 (6.2) | 14 (6.5) | 27 (6.4) | 3 (1.6) | 0 | 3 (1.0) | 16 (4.1) | 14 (4.1) | 30 (4.1) | |
| 0 | 0 | 0 | 7 (3.8) | 7 (5.6) | 14 (4.5) | 7 (1.8) | 7 (2.1) | 14 (1.9) | |
| 0 | 0 | 0 | 1 (0.5) | 28 (22.2) | 29 (9.4) | 1 (0.3) | 28 (8.2) | 29 (4.0) | |
| 5 (2.4) | 14 (6.5) | 19 (4.5) | 0 | 0 | 0 | 5 (1.3) | 14 (4.1) | 19 (2.6) | |
| 6 (2.9) | 7 (3.3) | 13 (3.1) | 5 (2.7) | 2 (1.6) | 7 (2.3) | 11 (2.8) | 9 (2.6) | 20 (2.7) | |
| 0 | 0 | 0 | 4 (2.2) | 0 | 4 (1.3) | 4 (1.0) | 0 | 4 (0.5) | |
| 0 | 0 | 0 | 13 (7.1) | 10 (7.9) | 23 (7.4) | 13 (3.3) | 10 (2.9) | 23 (3.1) | |
| 0 | 0 | 0 | 0 | 2 (1.6) | 2 (0.6) | 0 | 2 (0.6) | 2 (0.3) | |
| 0 | 0 | 0 | 0 | 4 (3.2) | 4 (1.3) | 0 | 4 (1.2) | 4 (0.5) | |
| 0 | 0 | 0 | 2 (1.1) | 0 | 2 (0.6) | 2 (0.5) | 0 | 2 (0.3) | |
| 0 | 0 | 0 | 0 | 1 (0.8) | 1 (0.3) | 0 | 1 (0.3) | 1 (0.1) | |
| 0 | 0 | 0 | 2 (1.1) | 0 | 2 (0.6) | 2 (0.5) | 0 | 2 (0.3) | |
| 0 | 0 | 0 | 13 (7.1) | 1 (0.8) | 14 (4.5) | 13 (3.3) | 1 (0.3) | 14 (1.9) | |
| 0 | 0 | 0 | 1 (0.5) | 0 | 1 (0.3) | 1 (0.3) | 0 | 1 (0.1) | |
| 0 | 1 (0.5) | 1 (0.2) | 0 | 0 | 0 | 0 | 1 (0.3) | 1 (0.1) | |
| 0 | 0 | 0 | 17 (9.3) | 0 | 17 (5.5) | 17 (4.3) | 0 | 17 (2.3) | |
| 0 | 0 | 0 | 5 (2.7) | 0 | 5 (1.6) | 5 (1.3) | 0 | 5 (0.7) | |
| 0 | 0 | 0 | 6 (3.3) | 0 | 6 (1.9) | 6 (1.5) | 0 | 6 (0.8) | |
| 0 | 0 | 0 | 22 (12.0) | 1 (0.8) | 23 (7.4) | 22 (5.6) | 1 (0.3) | 23 (3.1) | |
| 0 | 0 | 0 | 3 (1.6) | 0 | 3 (1.0) | 3 (0.8) | 0 | 3 (0.4) | |
| 0 | 0 | 0 | 11 (6.0) | 0 | 11 (3.6) | 11 (2.8) | 0 | 11 (1.5) | |
| 0 | 0 | 0 | 3 (1.6) | 0 | 3 (1.0) | 3 (0.8) | 0 | 3 (0.4) | |
| 0 | 0 | 0 | 46 (25.1) | 0 | 46 (14.9) | 46 (11.7) | 0 | 46 (6.3) | |
| 0 | 0 | 0 | 11 (6.0) | 0 | 11 (3.6) | 11 (2.8) | 0 | 11 (1.5) | |
| 0 | 0 | 0 | 2 (1.1) | 0 | 2 (0.6) | 2 (0.5) | 0 | 2 (0.3) | |
| Total mixed infections | 0 | 1 (0.5) | 1 (0.2) | 161 (88.0) | 19 (15.1) | 180 (58.3) | 161 (41.0) | 20 (5.9) | 181 (24.7) |
| Total positive | 24 (11.4) | 36 (16.7) | 60 (14.1) | 178 (97.3) | 69 (54.8) | 247 (79.9) | 202 (51.4) | 105 (30.8) | 307 (41.8) |
For other abbreviations, see Table 1
The infection rates of TBPs in yaks and Tibetan sheep by prefecture and altitude of the sampling sites
| Animal | Parameter | Number of positive samples (infection rate %) | |||||
|---|---|---|---|---|---|---|---|
| Yak | Prefecture | ||||||
| Guoluo | 0 | 13 (6.2) | 0 | 0 | 5 (2.4) | 6 (2.9) | |
| Yushu | 0 | 14 (6.5) | 0 | 0 | 15 (7.0) | 8 (3.7) | |
| Statistical analysis | |||||||
| | 0.02 | 4.56 | 0.23 | ||||
| | 1 | 1 | 1 | ||||
| | 0.8987 | 0.0328 | 0.6293 | ||||
| Altitude (m) | |||||||
| 3000–4000 | 0 | 13 (5.8) | 0 | 0 | 5 (2.2) | 12 (5.4) | |
| 4000–5000 | 0 | 14 (6.9) | 0 | 0 | 15 (7.4) | 2 (1.0) | |
| Statistical analysis | |||||||
| | 0.19 | 5.77 | 6.02 | ||||
| | 1 | 1 | 1 | ||||
| | 0.6628 | 0.0163 | 0.0141 | ||||
| Tibetan sheep | Prefecture | ||||||
| Guoluo | 132 (72.1) | 92 (50.3) | 154 (84.2) | 29 (15.8) | 0 | 120 (65.6) | |
| Yushu | 30 (23.8) | 1 (0.8) | 19 (15.1) | 31 (24.6) | 0 | 8 (6.3) | |
| Statistical analysis | |||||||
| | 23.77 | 52.14 | 46.81 | 2.44 | 50.75 | ||
| | 1 | 1 | 1 | 1 | 1 | ||
| | < 0.0001 | < 0.0001 | < 0.0001 | 0.1185 | < 0.0001 | ||
| Altitude (m) | |||||||
| 3000–4000 | 92 (50.3) | 46 (25.1) | 107 (58.5) | 55 (30.1) | 0 | 80 (43.7) | |
| 4000–5000 | 70 (55.6) | 47 (37.3) | 66 (52.4) | 5 (4.0) | 0 | 48 (38.1) | |
| Statistical analysis | |||||||
| | 0.26 | 2.78 | 0.32 | 23.10 | 0.41 | ||
| | 1 | 1 | 1 | 1 | 1 | ||
| | 0.6108 | 0.0956 | 0.5721 | < 0.0001 | 0.5242 | ||
Accession numbers of DNA sequences from this study deposited in GenBank
| Obtained sequences | Closest BLASTn match | ||||||
|---|---|---|---|---|---|---|---|
| Pathogen | Animal | Target gene | Accession number | Length (bp) | Identity (%) | Pathogen isolate | Accession number (host, country) |
| Tibetan sheep | MZ130286 | 347 | 100 | MN39479 (sheep, China) | |||
| Tibetan sheep | MZ130287 | 347 | 100 | MN39479 (sheep, China) | |||
| Tibetan sheep | 16S rRNA | MZ069105 | 551 | 99.46 | KJ659040 (sika deer, China) | ||
| Yak | MZ069106 | 551 | 99.64 | KJ659040 (sika deer, China) | |||
| Yak | MZ069107 | 551 | 99.82 | MT036513 (sheep, Russia) | |||
| Yak | MZ069108 | 550 | 99.82 | MT036513 (sheep, Russia) | |||
| Yak | MZ069109 | 551 | 99.82 | MT036513 (sheep, Russia) | |||
| Yak | MZ069110 | 551 | 100 | MT036513 (sheep, Russia) | |||
| Yak | MZ069111 | 551 | 99.64 | MT036513 (sheep, Russia) | |||
| Yak | MZ069112 | 551 | 100 | KJ639885 (red deer, China) | |||
| Tibetan sheep | MZ069105 | 551 | 99.46 | KJ659040 (sika deer, China) | |||
| Tibetan sheep | MZ130264 | 793 | 74.43 | MH029895 (tick, China) | |||
| Tibetan sheep | MZ130265 | 794 | 74.08 | MH029895 (tick, China) | |||
| Tibetan sheep | MZ130266 | 793 | 74.02 | MH029895 (tick, China) | |||
| Tibetan sheep | 16S rRNA | MZ073291 | 545 | 99.82 | KC422267 (tick, North Korea) | ||
| Tibetan sheep | MZ073292 | 545 | 99.27 | MT754352 (cattle, South Korea) | |||
| Tibetan sheep | MZ073293 | 545 | 99.63 | KC422267 (tick, North Korea) | |||
| Tibetan sheep | MZ073294 | 545 | 99.63 | KC422267 (tick, North Korea) | |||
| Yak | MZ130288 | 503 | 99.40 | KX685399 (cattle, Benin) | |||
| Yak | MZ130289 | 503 | 100 | AB617641 cattle Syria | |||
| Yak | MZ130290 | 503 | 99.80 | KX685399 (cattle, Benin) | |||
| Yak | MZ130291 | 503 | 99.80 | KX685399 (cattle, Benin) | |||
| Yak | MZ130292 | 503 | 99.80 | KX685399 (cattle, Benin) | |||
| Yak | MZ130293 | 503 | 99.60 | KX685399 (cattle, Benin) | |||
| Yak | MZ130294 | 503 | 99.80 | KX685399 (cattle, Benin) | |||
| Yak | MZ130295 | 503 | 100 | KX685399 (cattle, Benin) | |||
| Tibetan sheep | 18S rRNA | MZ047352 | 583 | 100 | MN394810 (yak, China) | ||
| Tibetan sheep | MZ047353 | 583 | 99.49 | MN394810 (yak, China) | |||
| Tibetan sheep | MZ047354 | 583 | 99.66 | MN394810 (yak, China) | |||
| Tibetan sheep | MZ047355 | 583 | 99.83 | MN394810 (yak, China) | |||
| Tibetan sheep | MZ047356 | 584 | 99.66 | MN394810 (yak, China) | |||
| Tibetan sheep | MZ047357 | 583 | 99.49 | MN394810 (yak, China) | |||
| Tibetan sheep | MZ047358 | 583 | 100 | MN394810 (yak, China) | |||
| Yak | MZ047359 | 583 | 99.83 | MN394810 (yak, China) | |||
| Yak | MZ047360 | 583 | 99.83 | MN394810 (yak, China) | |||
| Yak | MZ047361 | 583 | 99.49 | MN394810 (yak, China) | |||
| Yak | MZ047362 | 582 | 96.42 | MN394810 (yak, China) | |||
| Yak | MZ047363 | 583 | 99.14 | MN394810 (yak, China) | |||
BLASTn Basic Local Alignment Search Tool nucleotide, bp base pair, rRNA ribosomal RNA
Fig. 2Phylogenetic tree based on Anaplasma ovis msp4 partial sequences [347 base pairs (bp)] obtained in this study. The tree was constructed with the neighbor-joining method using MEGA7.0. Numbers at nodes represent percentage occurrence of clades in 500 bootstrap replications of data. Sequences from this study are in bold. Anaplasma marginale (AY010250) and Anaplasma marginale (KU497715) were used as outgroups. The black circles indicate the sequences from Tibetan sheep in this study
Fig. 3Phylogenetic tree based on Anaplasma bovis 16S ribosomal RNA (rRNA) partial sequences (551 bp) obtained in this study. The tree was constructed with the neighbor-joining method using MEGA7.0. Numbers at nodes represent percentage occurrence of clades in 500 bootstrap replications of data. Sequences from this study are in bold. Anaplasma capra (MT052417) was used as the outgroup. The black circle indicates the sequence from Tibetan sheep and the white circles indicate the sequences from yaks in this study
Fig. 4Phylogenetic tree based on Anaplasma phagocytophilum 16S rRNA partial sequences (546/565 bp) obtained in this study. The tree was constructed with the neighbor-joining method using MEGA7.0. Numbers at nodes represent percentage occurrence of clades in 500 bootstrap replications of data. Sequences from this study are shown in bold. Anaplasma bovis (AB588968) was used as the outgroup. The black circles indicate the sequences from Tibetan sheep in this study. For abbreviations, see Figs. 1 and 2
Fig. 5Phylogenetic tree based on Babesia bovis msp4 partial sequences (503 bp) obtained in this study. The tree was constructed with the neighbor-joining method using MEGA7.0. Numbers at nodes represent percentage occurrence of clades in 500 bootstrap replications of data. Sequences from this study are in bold. Babesia bigemina (XM012912519) was used as the outgroup. The white circles indicate the sequences from yaks in this study
Fig. 6Phylogenetic tree based on Theileria ovis 18S rRNA partial sequences (581 bp) obtained in this study. The tree was constructed with the neighbor-joining method using MEGA7.0. Numbers at nodes represent percentage occurrence of clades in 500 bootstrap replications of data. Sequences from this study are in bold. Babesia bovis (KF928960) was used as the outgroup. The black circles indicate the sequences from Tibetan sheep and the white circles the sequences from yaks in this study. For abbreviations, see Figs. 1 and 2
Fig. 7Phylogenetic tree based on Anaplasma capra gltA partial sequences (793 bp) obtained in this study. The tree was constructed with the neighbor-joining method using MEGA7.0. Numbers at nodes represent percentage occurrence of clades in 500 bootstrap replications of data. Sequences from this study are in bold. Anaplasma phagocytophilum (JQ622145) was used as the outgroup. The black circles indicate the sequences from Tibetan sheep in this study