10 research outputs found

    The origins and spread of domestic horses from the Western Eurasian steppes

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    This is the final version. Available on open access from Nature Research via the DOI in this recordData availability: All collapsed and paired-end sequence data for samples sequenced in this study are available in compressed fastq format through the European Nucleotide Archive under accession number PRJEB44430, together with rescaled and trimmed bam sequence alignments against both the nuclear and mitochondrial horse reference genomes. Previously published ancient data used in this study are available under accession numbers PRJEB7537, PRJEB10098, PRJEB10854, PRJEB22390 and PRJEB31613, and detailed in Supplementary Table 1. The genomes of ten modern horses, publicly available, were also accessed as indicated in their corresponding original publications57,61,85-87.NOTE: see the published version available via the DOI in this record for the full list of authorsDomestication of horses fundamentally transformed long-range mobility and warfare. However, modern domesticated breeds do not descend from the earliest domestic horse lineage associated with archaeological evidence of bridling, milking and corralling at Botai, Central Asia around 3500 BC. Other longstanding candidate regions for horse domestication, such as Iberia and Anatolia, have also recently been challenged. Thus, the genetic, geographic and temporal origins of modern domestic horses have remained unknown. Here we pinpoint the Western Eurasian steppes, especially the lower Volga-Don region, as the homeland of modern domestic horses. Furthermore, we map the population changes accompanying domestication from 273 ancient horse genomes. This reveals that modern domestic horses ultimately replaced almost all other local populations as they expanded rapidly across Eurasia from about 2000 BC, synchronously with equestrian material culture, including Sintashta spoke-wheeled chariots. We find that equestrianism involved strong selection for critical locomotor and behavioural adaptations at the GSDMC and ZFPM1 genes. Our results reject the commonly held association between horseback riding and the massive expansion of Yamnaya steppe pastoralists into Europe around 3000 BC driving the spread of Indo-European languages. This contrasts with the scenario in Asia where Indo-Iranian languages, chariots and horses spread together, following the early second millennium BC Sintashta culture

    PINK1 and BNIP3 mitophagy inducers have an antagonistic effect on Rbf1-induced apoptosis in Drosophila

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    The structure and function of the mitochondrial network are finely regulated. Among the proteins involved in these regulations, mitochondrial dynamics actors have been reported to regulate the apoptotic process. We show here in the Drosophila model that the mitophagy inducers, PINK1 (PTENinduced putative kinase 1) and BNIP3 (Bcl-2 Interacting Protein 3), modulate mitochondrial apoptosis differently. If close links between the fission-inducing protein DRP1 and Bcl-2 family proteins, regulators of apoptosis, are demonstrated, the connection between mitophagy and apoptosis is still poorly understood. In Drosophila, we have shown that Rbf1, a homolog of the oncosuppressive protein pRb, induces cell death in proliferating larval tissues through a mechanism involving the interaction of Drp1 with Debcl, a pro-apoptotic protein of the Bcl-2 family. This interaction is necessary to induce mitochondrial fission, ROS production, and apoptosis. To better understand the interactions between the proteins involved in mitochondrial homeostasis and the apoptotic process, we focused on the role of two known players in mitophagy, the proteins PINK1 and BNIP3, during mitochondrial apoptosis induced by Rbf1 and Debcl in a proliferating Drosophila larval tissue. We show that Rbf1-or Debcl-induced apoptosis is accompanied by mitophagy. Interestingly, PINK1 and BNIP3 have distinct effects in regulating cell death. PINK1 promotes rbf1-or debcl-induced apoptosis, whereas BNIP3 protects against Rbf1-induced apoptosis but reduces Debclinduced tissue loss without inhibiting Debcl-induced cell death. Furthermore, our results indicate that BNIP3 is required to induce basal mitophagy while PINK1 is responsible for mitophagy induced by rbf1 overexpression. These results highlight the critical role of mitophagy regulators in controlling homeostasis and cell fate

    Experimental conditions improving in-solution target enrichment for ancient DNA

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    High-throughput sequencing has dramatically fostered ancient DNA research in recent years. Shotgun sequencing, however, does not necessarily appear as the best-suited approach due to the extensive contamination of samples with exogenous environmental microbial DNA. DNA capture-enrichment methods represent cost-effective alternatives that increase the sequencing focus on the endogenous fraction, whether it is from mitochondrial or nuclear genomes, or parts thereof. Here, we explored experimental parameters that could impact the efficacy of MYbaits in-solution capture assays of ~5000 nuclear loci or the whole genome. We found that varying quantities of the starting probes had only moderate effect on capture outcomes. Starting DNA, probe tiling, the hybridization temperature and the proportion of endogenous DNA all affected the assay, however. Additionally, probe features such as their GC content, number of CpG dinucleotides, sequence complexity and entropy and self-annealing properties need to be carefully addressed during the design stage of the capture assay. The experimental conditions and probe molecular features identified in this study will improve the recovery of genetic information extracted from degraded and ancient remains.No Full Tex

    Tracking five millennia of horse management with extensive ancient genome time series

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    Horse domestication revolutionized warfare and accelerated travel, trade, and the geographic expansion of languages. Here, we present the largest DNA time series for a non-human organism to date, including genome-scale data from 149 ancient animals and 129 ancient genomes (≥1-fold coverage), 87 of which are new. This extensive dataset allows us to assess the modern legacy of past equestrian civilizations. We find that two extinct horse lineages existed during early domestication, one at the far western (Iberia) and the other at the far eastern range (Siberia) of Eurasia. None of these contributed significantly to modern diversity. We show that the influence of Persian-related horse lineages increased following the Islamic conquests in Europe and Asia. Multiple alleles associated with elite-racing, including at the MSTN "speed gene," only rose in popularity within the last millennium. Finally, the development of modern breeding impacted genetic diversity more dramatically than the previous millennia of human management.T.M.-B. was supported by the BFU2017-86471-P (MINECO/FEDER, UE), the U01 MH106874 grant, Howard Hughes International Early Career, Obra Social “La Caixa,” and Secretaria d’Universitats i Recerca del Departament d’Economia i Coneixement de la Generalitat de Catalunya. V.P. was supported by Russian Science Foundation (16-18-10265). This research received support from the SYNTHESYS Project (http://www.synthesys.info/), which is financed by European Community Research Infrastructure Action under the Seventh Framework “Capacities” Programme. This work was supported by the Danish National Research Foundation (DNRF94), the Initiative d’Excellence Chaires d’attractivité, Université de Toulouse (OURASI), the International Highly Cited Research Group Program (HCRC#15-101), Deanship of Scientific Research, King Saud University, the Villum Fonden miGENEPI research project, the Swiss National Science Foundation (CR13I1_140638), the Research Council of Norway (project 230821/F20); the investigation grant HAR2016-77600-P, Ministerio de Economía y Competitividad, Spain, and the National Science Foundation (ANS-1417036). This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement 681605)

    Tracking Five Millennia of Horse Management with Extensive Ancient Genome Time Series

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    34 Supplément | 2022

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