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      A mitogenomic timetree for Darwin’s enigmatic South American mammal Macrauchenia patachonica

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          Abstract

          The unusual mix of morphological traits displayed by extinct South American native ungulates (SANUs) confounded both Charles Darwin, who first discovered them, and Richard Owen, who tried to resolve their relationships. Here we report an almost complete mitochondrial genome for the litoptern Macrauchenia. Our dated phylogenetic tree places Macrauchenia as sister to Perissodactyla, but close to the radiation of major lineages within Laurasiatheria. This position is consistent with a divergence estimate of ∼66 Ma (95% credibility interval, 56.64–77.83 Ma) obtained for the split between Macrauchenia and other Panperissodactyla. Combined with their morphological distinctiveness, this evidence supports the positioning of Litopterna (possibly in company with other SANU groups) as a separate order within Laurasiatheria. We also show that, when using strict criteria, extinct taxa marked by deep divergence times and a lack of close living relatives may still be amenable to palaeogenomic analysis through iterative mapping against more distant relatives.

          Abstract

          Classification of the extinct South American native ungulates (SANUs) has posed a challenge given the absence of close, surviving relatives. Here, Westbury et al. sequence the mitochondrial genome of the extinct SANU Macrauchenia patachonica and reconstruct the evolutionary history of the lineage.

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          FLASH: fast length adjustment of short reads to improve genome assemblies.

          Next-generation sequencing technologies generate very large numbers of short reads. Even with very deep genome coverage, short read lengths cause problems in de novo assemblies. The use of paired-end libraries with a fragment size shorter than twice the read length provides an opportunity to generate much longer reads by overlapping and merging read pairs before assembling a genome. We present FLASH, a fast computational tool to extend the length of short reads by overlapping paired-end reads from fragment libraries that are sufficiently short. We tested the correctness of the tool on one million simulated read pairs, and we then applied it as a pre-processor for genome assemblies of Illumina reads from the bacterium Staphylococcus aureus and human chromosome 14. FLASH correctly extended and merged reads >99% of the time on simulated reads with an error rate of <1%. With adequately set parameters, FLASH correctly merged reads over 90% of the time even when the reads contained up to 5% errors. When FLASH was used to extend reads prior to assembly, the resulting assemblies had substantially greater N50 lengths for both contigs and scaffolds. The FLASH system is implemented in C and is freely available as open-source code at http://www.cbcb.umd.edu/software/flash. t.magoc@gmail.com.
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            Reconstructing mitochondrial genomes directly from genomic next-generation sequencing reads—a baiting and iterative mapping approach

            We present an in silico approach for the reconstruction of complete mitochondrial genomes of non-model organisms directly from next-generation sequencing (NGS) data—mitochondrial baiting and iterative mapping (MITObim). The method is straightforward even if only (i) distantly related mitochondrial genomes or (ii) mitochondrial barcode sequences are available as starting-reference sequences or seeds, respectively. We demonstrate the efficiency of the approach in case studies using real NGS data sets of the two monogenean ectoparasites species Gyrodactylus thymalli and Gyrodactylus derjavinoides including their respective teleost hosts European grayling (Thymallus thymallus) and Rainbow trout (Oncorhynchus mykiss). MITObim appeared superior to existing tools in terms of accuracy, runtime and memory requirements and fully automatically recovered mitochondrial genomes exceeding 99.5% accuracy from total genomic DNA derived NGS data sets in <24 h using a standard desktop computer. The approach overcomes the limitations of traditional strategies for obtaining mitochondrial genomes for species with little or no mitochondrial sequence information at hand and represents a fast and highly efficient in silico alternative to laborious conventional strategies relying on initial long-range PCR. We furthermore demonstrate the applicability of MITObim for metagenomic/pooled data sets using simulated data. MITObim is an easy to use tool even for biologists with modest bioinformatics experience. The software is made available as open source pipeline under the MIT license at https://github.com/chrishah/MITObim.
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              A high-coverage genome sequence from an archaic Denisovan individual.

              We present a DNA library preparation method that has allowed us to reconstruct a high-coverage (30×) genome sequence of a Denisovan, an extinct relative of Neandertals. The quality of this genome allows a direct estimation of Denisovan heterozygosity indicating that genetic diversity in these archaic hominins was extremely low. It also allows tentative dating of the specimen on the basis of "missing evolution" in its genome, detailed measurements of Denisovan and Neandertal admixture into present-day human populations, and the generation of a near-complete catalog of genetic changes that swept to high frequency in modern humans since their divergence from Denisovans.
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                Author and article information

                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group
                2041-1723
                27 June 2017
                2017
                : 8
                : 15951
                Affiliations
                [1 ]University of Potsdam, Institute of Biochemistry and Biology , Karl-Liebknecht-Str. 24-25, 14476 Potsdam, Germany
                [2 ]CONICET and Sección Paleontología de Vertebrados, Museo Argentino de Ciencias Naturales ‘Bernardino Rivadavia’ , Avenida Angel Gallardo 470, Buenos Aires C1405DJR, Argentina
                [3 ]IANIGLA, CCT-CONICET Mendoza , Av. Ruiz Leal s/n°, Parque General San Martín, Mendoza 5500, Argentina
                [4 ]CONICET and División Paleontología Vertebrados, Museo de La Plata, Paseo del Bosque s/n° , La Plata B1900FWA, Facultad de Ciencias Naturales y Museo, UNLP, Argentina
                [5 ]ARQMAR, Center for Maritime Archeology Research of the South Eastern Pacific , Cochrane 401, Valparaiso, Chile
                [6 ]Museo Municipal de Ciencias Naturales ‘Lorenzo Scaglia’ , Plaza España s/n°, Mar del Plata 7600, Argentina
                [7 ]Museo Nacional de Historia Natural , 25 de Mayo 582, CC 399, Montevideo 11000, Uruguay
                [8 ]Centro de Investigación en Ecosistemas de la Patagonia , Simpson 471, Coyhaique, Chile
                [9 ]Muséum national d’Histoire naturelle, Département Origines et Évolution, CR2P (CNRS, MNHN, UPMC, Sorbonne-Université) , 8, rue Buffon, 75005 Paris, France
                [10 ]Museo Paleontológico de San Pedro ‘Fray Manuel de Torres’ , Pellegrini 145, San Pedro 2930, Argentina
                [11 ]Department of Mammalogy, American Museum of Natural History , 200 Central Park West, New York, New York 10024-5192, USA
                Author notes
                Author information
                http://orcid.org/0000-0002-5532-9458
                Article
                ncomms15951
                10.1038/ncomms15951
                5490259
                28654082
                0f479de4-70c1-4367-9598-2f154d85b118
                Copyright © 2017, The Author(s)

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                History
                : 01 February 2017
                : 12 May 2017
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