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      Genetic variability and history of a native Finnish horse breed

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          Abstract

          Background

          The Finnhorse was established as a breed more than 110 years ago by combining local Finnish landraces. Since its foundation, the breed has experienced both strong directional selection, especially for size and colour, and severe population bottlenecks that are connected with its initial foundation and subsequent changes in agricultural and forestry practices. Here, we used sequences of the mitochondrial control region and genomic single nucleotide polymorphisms (SNPs) to estimate the genetic diversity and differentiation of the four Finnhorse breeding sections: trotters, pony-sized horses, draught horses and riding horses. Furthermore, we estimated inbreeding and effective population sizes over time to infer the history of this breed.

          Results

          We found a high level of mitochondrial genetic variation and identified 16 of the 18 haplogroups described in present-day horses. Interestingly, one of these detected haplogroups was previously reported only in the Przewalski’s horse. Female effective population sizes were in the thousands, but declines were evident at the times when the breed and its breeding sections were founded. By contrast, nuclear variation and effective population sizes were small (approximately 50). Nevertheless, inbreeding in Finnhorses was lower than in many other horse breeds. Based on nuclear SNP data, genetic differentiation among the four breeding sections was strongest between the draught horses and the three other sections ( F ST = 0.007–0.018), whereas based on mitochondrial DNA data, it was strongest between the trotters and the pony-sized and riding horses (Φ ST = 0.054–0.068).

          Conclusions

          The existence of a Przewalski’s horse haplogroup in the Finnhorse provides new insights into the domestication of the horse, and this finding supports previous suggestions of a close relationship between the Finnhorse and eastern primitive breeds. The high level of mitochondrial DNA variation in the Finnhorse supports its domestication from a large number of mares but also reflects that its founding depended on many local landraces. Although inbreeding in Finnhorses was lower than in many other horse breeds, the small nuclear effective population sizes of each of its breeding sections can be considered as a warning sign, which warrants changes in breeding practices.

          Electronic supplementary material

          The online version of this article (10.1186/s12711-019-0480-8) contains supplementary material, which is available to authorized users.

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            SNeP: a tool to estimate trends in recent effective population size trajectories using genome-wide SNP data

            Effective population size (Ne ) is a key population genetic parameter that describes the amount of genetic drift in a population. Estimating Ne has been subject to much research over the last 80 years. Methods to estimate Ne from linkage disequilibrium (LD) were developed ~40 years ago but depend on the availability of large amounts of genetic marker data that only the most recent advances in DNA technology have made available. Here we introduce SNeP, a multithreaded tool to perform the estimate of Ne using LD using the standard PLINK input file format (.ped and.map files) or by using LD values calculated using other software. Through SNeP the user can apply several corrections to take account of sample size, mutation, phasing, and recombination rate. Each variable involved in the computation such as the binning parameters or the chromosomes to include in the analysis can be modified. When applied to published datasets, SNeP produced results closely comparable with those obtained in the original studies. The use of SNeP to estimate Ne trends can improve understanding of population demography in the recent past, provided a sufficient number of SNPs and their physical position in the genome are available. Binaries for the most common operating systems are available at https://sourceforge.net/projects/snepnetrends/.
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              Ancient genomes revisit the ancestry of domestic and Przewalski’s horses

              The Eneolithic Botai culture of the Central Asian steppes provides the earliest archaeological evidence for horse husbandry, ~5,500 ya, but the exact nature of early horse domestication remains controversial. We generated 42 ancient horse genomes, including 20 from Botai. Compared to 46 published ancient and modern horse genomes, our data indicate that Przewalski’s horses are the feral descendants of horses herded at Botai and not truly wild horses. All domestic horses dated from ~4,000 ya to present only show ~2.7% of Botai-related ancestry. This indicates that a massive genomic turnover underpins the expansion of the horse stock that gave rise to modern domesticates, which coincides with large-scale human population expansions during the Early Bronze Age.
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                Author and article information

                Contributors
                laura.kvist@oulu.fi
                markku.niskanen@oulu.fi
                kristiina.mannermaa@helsinki.fi
                saskia.wutke@uef.fi
                jouni.aspi@oulu.fi
                Journal
                Genet Sel Evol
                Genet. Sel. Evol
                Genetics, Selection, Evolution : GSE
                BioMed Central (London )
                0999-193X
                1297-9686
                1 July 2019
                1 July 2019
                2019
                : 51
                : 35
                Affiliations
                [1 ]ISNI 0000 0001 0941 4873, GRID grid.10858.34, Department of Ecology and Genetics, , University of Oulu, ; POB 8000, 90014 Oulu, Finland
                [2 ]ISNI 0000 0001 0941 4873, GRID grid.10858.34, Research Unit of History, Culture and Communications, , University of Oulu, ; POB 8000, 90014 Oulu, Finland
                [3 ]ISNI 0000 0004 0410 2071, GRID grid.7737.4, Department of Philosophy, History, Culture and Art Studies, , University of Helsinki, ; POB 24, 00014 Helsinki, Finland
                [4 ]ISNI 0000 0001 0726 2490, GRID grid.9668.1, Department of Environmental and Biological Sciences, , University of Eastern Finland, ; POB 111, 80101 Joensuu, Finland
                Author information
                http://orcid.org/0000-0002-2108-0172
                Article
                480
                10.1186/s12711-019-0480-8
                6604459
                31262246
                b5287daa-95fe-46b0-95a7-966b5836fcbd
                © The Author(s) 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 27 March 2019
                : 19 June 2019
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100003125, Suomen Kulttuurirahasto;
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2019

                Genetics
                Genetics

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