Tracking tick-borne diseases in Mongolian livestock using next generation sequencing (NGS)

dc.contributor.authorChaorattanakawee S.
dc.contributor.authorWofford R.N.
dc.contributor.authorTakhampunya R.
dc.contributor.authorKatherine Poole-Smith B.
dc.contributor.authorBoldbaatar B.
dc.contributor.authorLkhagvatseren S.
dc.contributor.authorAltantogtokh D.
dc.contributor.authorMusih E.
dc.contributor.authorNymadawa P.
dc.contributor.authorDavidson S.
dc.contributor.authorHertz J.
dc.contributor.authorFiorenzano J.
dc.contributor.authorGray G.C.
dc.contributor.authorvon Fricken M.E.
dc.contributor.otherMahidol University
dc.date.accessioned2023-06-18T16:39:14Z
dc.date.available2023-06-18T16:39:14Z
dc.date.issued2022-01-01
dc.description.abstractThe livestock industry in Mongolia accounts for 24% of national revenue, with one third of the population maintaining a pastoral lifestyle. This close connection between Mongolian population and livestock is a major concern for pathogen transfer, especially given the increase in vector-borne diseases globally. This study examines blood samples from livestock to assess the prevalence of tick-borne bacterial infections across three provinces in Mongolia (Dornogovi, Selenge, Töv). Whole blood samples from 243 livestock (cattle=38, camel=11, goat=85, horse=22, sheep=87) were analyzed with 16S metagenomics next-generation sequencing (NGS) to screen for bacterial pathogens. Positive-NGS samples for Anaplasma, Bartonella, Ehrlichia, Francisella, Leptospira, and Rickettsia were confirmed by conventional PCR and DNA sequencing. Prevalence rates of Anaplasma, Bartonella, and Ehrlichia were 57.6%, 12.8%, and 0.4%, respectively. A significant difference in the prevalence of Anaplasma spp. in livestock by province was observed, with a higher prevalence in Selenge (74.2%, p<0.001) and Töv (64.2% p = 0.006) compared to the semi-arid region of Dornogovi (39.8%). In contrast, no association was observed in Bartonella prevalence by provinces. All Anaplasma sequences (N = 139) were characterized as A. ovis. For Bartonella species characterization, phylogenetic analyses of gltA and rpoB genes identified three Bartonella species including B. bovis, B. melophagi and Candidatus B. ovis. Bartonella bovis was detected in all 22-positive cattle, while B. melophagi and Candidatus B. ovis were found in four and three sheep, respectively. This study identifies a high prevalence of tick-borne pathogens within the livestock population and to our knowledge, is the first time NGS methods have been used to explore tick-borne diseases in Mongolia. Further research is needed in Mongolia to better understand the clinical and economic burdens associated with tick-borne diseases in both livestock and pastoral herder populations.
dc.identifier.citationTicks and Tick-borne Diseases Vol.13 No.1 (2022)
dc.identifier.doi10.1016/j.ttbdis.2021.101845
dc.identifier.eissn18779603
dc.identifier.issn1877959X
dc.identifier.pmid34689003
dc.identifier.scopus2-s2.0-85117615605
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/83404
dc.rights.holderSCOPUS
dc.subjectAgricultural and Biological Sciences
dc.titleTracking tick-borne diseases in Mongolian livestock using next generation sequencing (NGS)
dc.typeArticle
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85117615605&origin=inward
oaire.citation.issue1
oaire.citation.titleTicks and Tick-borne Diseases
oaire.citation.volume13
oairecerif.author.affiliationMongolian University of Life Sciences
oairecerif.author.affiliationUnited States Military Academy at West Point
oairecerif.author.affiliationGeorge Mason University
oairecerif.author.affiliationArmed Forces Research Institute of Medical Sciences, Thailand
oairecerif.author.affiliationMahidol University
oairecerif.author.affiliationDuke University
oairecerif.author.affiliationNaval Medical Research Unit TWO (NAMRU-2)
oairecerif.author.affiliationNational Center for Zoonotic Diseases
oairecerif.author.affiliationMongolian Academy of Medical Sciences

Files

Collections