| Literature DB >> 29643434 |
Morakot Kaewthamasorn1,2, Mika Takeda3, Tawee Saiwichai1,4, Jesse N Gitaka5, Sonthaya Tiawsirisup1,2, Yuhei Imasato6, Ehab Mossaad7, Ali Sarani8, Winai Kaewlamun9, Manun Channumsin10, Suchart Chaiworakul11, Wichit Katepongpun11, Surapong Teeveerapunya12, Jarus Panthong13, Dominic K Mureithi14, Saw Bawm15, Lat Lat Htun15, Mar Mar Win16, Ahmed Ali Ismail7, Abdalla Mohamed Ibrahim17, Keisuke Suganuma18,19, Hassan Hakimi3, Ryo Nakao6, Ken Katakura6, Masahito Asada20,21, Osamu Kaneko22,23.
Abstract
Plasmodium was first identified in a goat in Angola in 1923, and only recently characterized by DNA isolation from a goat blood sample in Zambia. Goats were first domesticated in the Fertile Crescent approximately 10,000 years ago, and are now globally distributed. It is not known if the Plasmodium identified in African goats originated from parasites circulating in the local ungulates, or if it co-evolved in the goat before its domestication. To address this question, we performed PCR-based surveillance using a total of 1,299 goat blood samples collected from Sudan and Kenya in Africa, Iran in west Asia, and Myanmar and Thailand in southeast Asia. Plasmodium DNA was detected from all locations, suggesting that the parasite is not limited to Africa, but widely distributed. Whole mitochondrial DNA sequences revealed that there was only one nucleotide substitution between Zambian/Kenyan samples and others, supporting the existence of a goat-specific Plasmodium species, presumably Plasmodium caprae, rather than infection of goats by local ungulate malaria parasites. We also present the first photographic images of P. caprae, from one Kenyan goat sample.Entities:
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Year: 2018 PMID: 29643434 PMCID: PMC5895593 DOI: 10.1038/s41598-018-24048-0
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Geographic locations of blood sampling sites. Goat malaria parasites in (1) Zambian samples were collected in 2010, as published[12]. Sampling sites in the present study are in (2) Kiambu and Kitui counties, Kenya (in 2016 and 2017, respectively); (3) West Kordufan state and (4) Blue Nile state, Sudan (2014); (5) Sistan and Baluchestan province, Iran (2016 and 2017); (6) Nay Pyi Taw, Myanmar (2016); and (7) Nan, (8) Phetchaburi, and (9) Chonburi and Rayong provinces, Thailand (2016 and 2017). Sites where Plasmodium sequences were detected are shown in red and sites where Plasmodium was not detected are shown in blue. The map was made using Adobe Illustrator CC 2017 (Adobe Systems Inc. San José, CA).
Prevalence of goat malaria parasites.
| Country | Location | Period | Number of samples | Positive | Positivity (%) |
|---|---|---|---|---|---|
| Thailand | Phetchaburi | May, 2016 | 126 | 5 | 4% |
| Jan, 2017 | 88 | 0 | 0% | ||
| July, 2017 | 100 | 5 | 5% | ||
| Chonburi | Jan, 2017 | 191 | 0 | 0% | |
| July, 2017 | 100 | 0 | 0% | ||
| Rayong | July, 2017 | 99 | 0 | 0% | |
| Nan | Jan, 2016 | 190 | 0 | 0% | |
| Myanmar | Nay Pyi Taw | Jun, 2016 | 10 | 4 | 40% |
| Iran | Sistan and Baluchestan | Jan, 2016 | 24 | 0 | 0% |
| Jun, 2016 | 36 | 0 | 0% | ||
| Nov, 2016 | 51 | 0 | 0% | ||
| Jul, 2017 | 89 | 28 | 31% | ||
| Sudan | West Kurdufan | Apr, 2014 | 40 | 1 | 3% |
| Blue Nile | Dec, 2014 | 76 | 6 | 8% | |
| Kenya | Kiambu county | Jun, 2016 | 13 | 0 | 0% |
| Kitui county | May, 2017 | 66 | 6 | 9% |
Figure 2Parasite load in P. caprae infected goats as measured by qPCR. Copy numbers of mitochondrial DNA per µL of blood are shown. Blue, Thailand in May 2016; orange, Thailand in July 2017; green, Myanmar in June 2016; yellow, Iran in July 2017; and gray, Kenya in May 2017. Values for KEGoat2017-43 and THGoat17-448 samples are indicated.
Figure 3Giemsa-stained images of putative late trophozoites from KEGoat2017-43. (A) Putative trophozoite containing one small crystal and two vacuoles. (B) Putative trophozoite containing double rod-shaped crystals.
Genotype at nucleotide position 4421 of mitochondrial DNA.
| Country | Nucleotide at 4421 | |
|---|---|---|
| A | T | |
| Thailand | 9/9 (100%) | 0/9 (0%) |
| Myanmar | 3/3 (100%) | 0/3 (0%) |
| Iran | 22/22 (100%) | 0/22 (0%) |
| Sudan | 6/6 (100%) | 0/6 (0%) |
| Kenya | 3/5 (60%) | 2/5 (40%) |
| Zambia* | 0/1 (0%) | 1/1 (100%) |
*Zambian data is from a published report[12].