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Epidemiological landscape and genetic prospects for marker-assisted selection in Kazakh sheep

dc.contributor.authorOrkara, Shynggys
dc.contributor.authorKhamzina, Aigerim
dc.contributor.authorSandybayev, Nurlan
dc.contributor.authorSattarova, Rano
dc.contributor.authorDavletova, Ainur
dc.contributor.authorKhamzin, Kadyrzhan
dc.contributor.authorPokharel, Kisun
dc.contributor.authorIbragimov, Primkul
dc.contributor.authorBurambayeva, Nadezhda
dc.contributor.authorSmagulov, Darkhan
dc.contributor.departmentid4100111010
dc.contributor.orcidhttps://orcid.org/0000-0002-4924-946X
dc.contributor.organizationLuonnonvarakeskus
dc.date.accessioned2025-08-26T06:23:49Z
dc.date.issued2025
dc.description.abstractThis comprehensive review examines the current epidemiological landscape, genetic resistance mechanisms, and control strategies for major sheep diseases in Kazakhstan. The study systematically analyzes three primary disease categories: parasitic infestations (including echinococcosis, fascioliasis, gastrointestinal strongylatosis, and protozoan infections), infectious diseases (foot rot, scrapie, Maedi-Visna, pasteurellosis, brucellosis), and hereditary disorders. Our analysis revealed significant regional variations in disease prevalence, with southern and western regions of Kazakhstan exhibiting higher parasitic burdens, particularly for echinococcosis and fascioliasis. Recent molecular studies have identified promising genetic markers associated with disease resistance, notably polymorphisms in the MHC complex (particularly DRB1 and DQB1 loci) conferring protection against parasitic infections and the PRNP gene variants influencing scrapie susceptibility. Current disease control approaches in Kazakhstan predominantly rely on chemical treatments and vaccination programs, while genetic selection for disease resistance remains underutilized despite its demonstrated efficacy in international breeding programs. The integration of marker-assisted selection and genomic approaches represents a promising strategy for enhancing disease resistance while maintaining productivity in Kazakhstani sheep breeds. This review highlights critical knowledge gaps, particularly regarding the molecular epidemiology of hereditary disorders as a markers of ecological plasticity and the genetic basis of resistance to infectious diseases in local breeds, emphasizing the need for comprehensive surveillance programs and targeted research to develop sustainable disease management strategies for Kazakhstan’s sheep industry.
dc.format.pagerange20 p.
dc.identifier.citationHow to cite: Orkara S, Khamzina A, Sandybayev N, Sattarova R, Davletova A, Khamzin K, Pokharel K, Ibragimov P, Burambayeva N and Smagulov D (2025) Epidemiological landscape and genetic prospects for marker-assisted selection in Kazakh sheep. Front. Vet. Sci. 12:1647959. doi: 10.3389/fvets.2025.1647959
dc.identifier.urihttps://jukuri.luke.fi/handle/11111/99862
dc.identifier.urlhttps://doi.org/10.3389/fvets.2025.1647959
dc.identifier.urnURN:NBN:fi-fe2025082684551
dc.language.isoen
dc.okm.avoinsaatavuuskytkin1 = Avoimesti saatavilla
dc.okm.corporatecopublicationei
dc.okm.discipline1184
dc.okm.internationalcopublicationon
dc.okm.julkaisukanavaoa1 = Kokonaan avoimessa julkaisukanavassa ilmestynyt julkaisu
dc.okm.selfarchivedon
dc.publisherFrontiers Media S.A.
dc.relation.articlenumber1647959
dc.relation.doi10.3389/fvets.2025.1647959
dc.relation.ispartofseriesFrontiers in veterinary science
dc.relation.issn2297-1769
dc.relation.volume12
dc.rightsCC BY 4.0
dc.source.justusid124515
dc.subjectKazakh sheep
dc.subjectdiseases
dc.subjectgenetic resistance
dc.subjectgenetic markers
dc.subjectassociative studies
dc.tehOHFO-Alku-1
dc.titleEpidemiological landscape and genetic prospects for marker-assisted selection in Kazakh sheep
dc.typepublication
dc.type.okmfi=A2 Katsausartikkeli tieteellisessä aikakauslehdessä|sv=A2 Översiktsartikel i en vetenskaplig tidskrift|en=A2 Review article, Literature review, Systematic review|
dc.type.versionfi=Publisher's version|sv=Publisher's version|en=Publisher's version|

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