Archaeological and genetic evidence concerning the time and mode of wild horse (Equus ferus) domestication is still debated. High levels of genetic diversity in horse mtDNA have been detected when analyzing the control region; recurrent mutations, however, tend to blur the structure of the phylogenetic tree. Here, we brought the horse mtDNA phylogeny to the highest level of molecular resolution by analyzing 83 mitochondrial genomes from modern horses across Asia, Europe, the Middle East, and the Americas. Our data reveal 18 major haplogroups (A-R) with radiation times that are mostly confined to the Neolithic and later periods and place the root of the phylogeny corresponding to the Ancestral Mare Mitogenome at ~130-160 thousand years ago. All haplogroups were detected in modern horses from Asia, but F was only found in E. przewalskii--the only remaining wild horse. Therefore, a wide range of matrilineal lineages from the extinct E. ferus underwent domestication in the Eurasian steppes during the Eneolithic period and were transmitted to modern E. caballus breeds. Importantly, now that the major horse haplogroups have been defined, each with diagnostic mutational motifs (in both the coding and control regions), these haplotypes could be easily used to (i) classify well-preserved ancient remains, (ii) (re)assess the haplogroup variation of modern breeds, including Thoroughbreds, and (iii) evaluate the possible role of mtDNA backgrounds in racehorse performance.
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http://dx.doi.org/10.1073/pnas.1111637109 | DOI Listing |
Sensors (Basel)
December 2024
Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100080, China.
The sleeping and eating behaviors of horses are important indicators of their health. With the development of the modern equine industry, timely monitoring and analysis of these behaviors can provide valuable data for assessing the physiological state of horses. To recognize horse behaviors in stalls, this study builds on the SlowFast algorithm, introducing a novel loss function to address data imbalance and integrating an SE attention module in the SlowFast algorithm's slow pathway to enhance behavior recognition accuracy.
View Article and Find Full Text PDFAnimals (Basel)
November 2024
Flinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Adelaide, SA 5000, Australia.
With the growth of the equestrian industry, risk exposure and the obligation to maintain the health, safety, and welfare of humans and horses remain front and centre. As there has been no apparent reduction in non-fatal human horse-related injuries, we asked industry stakeholders to discuss their current management and risk mitigation practices and highlight potential barriers to improving these processes. Semi-structured interviews were conducted with 20 stakeholders from Australian equestrian work- ( = 9) and non-work- ( = 11) related organisations to determine the potential benefits and feasibility of adopting an industry-specific health, safety, and welfare (HSW) management system.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
December 2024
Department for Biological Sciences and Pathobiology, Animal Breeding and Genetics, University of Veterinary Medicine Vienna, Vienna 1210, Austria.
Drug Test Anal
November 2024
Department of Bacteriology, Diagnostic Section, Central Veterinary Research Laboratory, Dubai, UAE.
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