The potential and shortcomings of mitochondrial DNA analysis for cheetah conservation management

. 2023 ; 24 (1) : 125-136. [epub] 20221210

Status PubMed-not-MEDLINE Jazyk angličtina Země Nizozemsko Médium print-electronic

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/pmid36694805

Grantová podpora
I 5081 Austrian Science Fund FWF - Austria

UNLABELLED: There are only about 7,100 adolescent and adult cheetahs (Acinonyx jubatus) remaining in the wild. With the majority occurring outside protected areas, their numbers are rapidly declining. Evidence-based conservation measures are essential for the survival of this species. Genetic data is routinely used to inform conservation strategies, e.g., by establishing conservation units (CU). A commonly used marker in conservation genetics is mitochondrial DNA (mtDNA). Here, we investigated the cheetah's phylogeography using a large-scale mtDNA data set to refine subspecies distributions and better assign individuals to CUs. Our dataset mostly consisted of historic samples to cover the cheetah's whole range as the species has been extinct in most of its former distribution. While our genetic data largely agree with geography-based subspecies assignments, several geographic regions show conflicting mtDNA signals. Our analyses support previous findings that evolutionary forces such as incomplete lineage sorting or mitochondrial capture likely confound the mitochondrial phylogeography of this species, especially in East and, to some extent, in Northeast Africa. We caution that subspecies assignments solely based on mtDNA should be treated carefully and argue for an additional standardized nuclear single nucleotide polymorphism (SNP) marker set for subspecies identification and monitoring. However, the detection of the A. j. soemmeringii specific haplogroup by a newly designed Amplification-Refractory Mutation System (ARMS) can already provide support for conservation measures. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10592-022-01483-1.

BIOPOLIS Program in Genomics Biodiversity and Land Planning CIBIO Campus de Vairão 4485‑661 Vairão Portugal

Breeding Centre for Endangered Arabian Wildlife Sharjah United Arab Emirates

CE3C Centre for Ecology Evolution and Environmental Changes and CHANGE Global Change and Sustainability Institute Departamento de Biologia Animal Faculdade de Ciências Universidade de Lisboa 1749 016 Lisboa Portugal

Central European Institute of Technology University of Veterinary Sciences Brno Brno Czech Republic

Centro de Investigação Em Biodiversidade e Recursos Genéticos CIBIO InBIO Laboratório Associado Campus de Vairão Universidade Do Porto Vairão Portugal

Department of Animal Genetics University of Veterinary Sciences Brno Czech Republic

Department of Behavioral and Cognitive Biology University of Vienna Djerassiplatz 1 1030 Vienna Austria

Faculdade de Psicologia Universidade de Lisboa Alameda da Universidade 1649 013 Lisboa Portugal

Institute for Ecology Evolution and Diversity Goethe University Max von Laue Straße 13 60438 Frankfurt am Main Germany

Kölner Zoo AG Riehler Straße 173 50735 Cologne Germany

Konrad Lorenz Institute of Ethology Savoyenstraße 1 1160 Vienna Austria

LOEWE Centre for Translational Biodiversity Genomics Senckenberganlage 25 60325 Frankfurt am Main Germany

Mohitban Society No 91 Moghaddas Ardebili str Tehran Iran

Natural History Museum Central Research Laboratories Burgring 7 1010 Vienna Austria

Opel Zoo von Opel Hessische Zoostiftung Königsteinerstrasse 35 61476 Kronberg im Taunus Germany

Research Institute of Wildlife Ecology University of Veterinary Medicine Savoyenstraße 1 1160 Vienna Austria

Rex Foundation White Rock House 2 Whipsnade Road LU6 2NB Dunstable UK

School of Life Sciences University of KwaZulu Natal Durban South Africa

South African National Biodiversity Institute National Zoological Garden 232 Boom Street 0002 Pretoria South Africa

Wildlife Conservation Society New York NY USA

Zoological Institute Russian Academy of Sciences Saint Petersburg Russia

Zobrazit více v PubMed

Allendorf FW, Funk WC, Aitken SN et al

Balint P, Billerbeck R, Bright P et al (1997)

None PubMed PMC

Brito JC, Durant SM, Pettorelli N et al (2018)

Charruau P, Fernandes C, Orozco-terWengel P et al PubMed PMC

De Volo SB, Reynolds RT, Douglas MR, Antolin MF ((2008))

Durant, SM (2000) Living with the enemy: avoidance of hyenas and lions by cheetahs in the Serengeti. Behavioral ecology, 11(6), 624-632. 10.1093/beheco/11.6.624

Durant SM, Mitchell N, Groom R et al (2017) PubMed PMC

Farhadinia MS, Gholikhani N, Behnoud P et al

Farhadinia MS, Hunter LTB, Jourabchian A et al

Gaber A, Hassan MM, Boland C et al PubMed PMC

Hahn MW ((2019)

Hunter JS, Durant SM, Caro TM (2007) To flee or not too flee: predator avoidance by cheetahs at kills. Behavioral Ecology and Sociobiology, 61(7), 1033-1042. 10.1007/s00265-006-0336-4

Jacobs MJ, Schloeder CA ((2001))

None

None

Kitchener AC, Breitenmoser-Würsten C, Eizirik E et al ((2017)) A revised taxonomy of the Felidae: The final report of the Cat ClassificationTask Force of the IUCN Cat Specialist Group

Klaassen B, Broekhuis F ((2018)) PubMed PMC

None PubMed PMC

Krausman PR, Morales SM ((2005))

Li H, Durbin R PubMed PMC

Li H, Handsaker B, Wysoker A et al PubMed PMC

Liu Y-C, Sun X, Driscoll C et al PubMed

Magliolo M, Prost S, Orozco-terWengel P et al PubMed

Marker L (2019) Cheetahs race for survival: ecology and conservation. In: Wildlife population monitoring. IntechOpen

Marker L

Merola M

Mills MGL, Broomhall LS, Toit JT (2004)

Myers N

None PubMed PMC

Nowell K, Jackson P

O’Brien SJ PubMed

O’Brien SJ, Wildt DE, Bush M. The Cheetah in genetic peril . Scientific American. 1986;254:84–95. doi: 10.1038/scientificamerican0586-84. DOI

None PubMed

Prost S, Machado AP, Zumbroich J et al (2022) PubMed PMC

RStudio Team ((2022))

None

None

None PubMed

None PubMed PMC

None PubMed PMC

Toews DPL, Brelsford A. The biogeography of mitochondrial and nuclear discordance in animals. Mol Ecol. 2012;21:3907–3930. doi: 10.1111/j.1365-294X.2012.05664.x. PubMed DOI

None

None PubMed PMC

Wickham H, Chang W (2016) Package ‘ggplot2’: create elegant data visualisations using the grammar of graphics description. CRAN Repos

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