DNA capture and next-generation sequencing can recover whole mitochondrial genomes from highly degraded samples for human identification View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2013-12

AUTHORS

Jennifer E L Templeton, Paul M Brotherton, Bastien Llamas, Julien Soubrier, Wolfgang Haak, Alan Cooper, Jeremy J Austin

ABSTRACT

BACKGROUND: Mitochondrial DNA (mtDNA) typing can be a useful aid for identifying people from compromised samples when nuclear DNA is too damaged, degraded or below detection thresholds for routine short tandem repeat (STR)-based analysis. Standard mtDNA typing, focused on PCR amplicon sequencing of the control region (HVS I and HVS II), is limited by the resolving power of this short sequence, which misses up to 70% of the variation present in the mtDNA genome. METHODS: We used in-solution hybridisation-based DNA capture (using DNA capture probes prepared from modern human mtDNA) to recover mtDNA from post-mortem human remains in which the majority of DNA is both highly fragmented (<100 base pairs in length) and chemically damaged. The method 'immortalises' the finite quantities of DNA in valuable extracts as DNA libraries, which is followed by the targeted enrichment of endogenous mtDNA sequences and characterisation by next-generation sequencing (NGS). RESULTS: We sequenced whole mitochondrial genomes for human identification from samples where standard nuclear STR typing produced only partial profiles or demonstrably failed and/or where standard mtDNA hypervariable region sequences lacked resolving power. Multiple rounds of enrichment can substantially improve coverage and sequencing depth of mtDNA genomes from highly degraded samples. The application of this method has led to the reliable mitochondrial sequencing of human skeletal remains from unidentified World War Two (WWII) casualties approximately 70 years old and from archaeological remains (up to 2,500 years old). CONCLUSIONS: This approach has potential applications in forensic science, historical human identification cases, archived medical samples, kinship analysis and population studies. In particular the methodology can be applied to any case, involving human or non-human species, where whole mitochondrial genome sequences are required to provide the highest level of maternal lineage discrimination. Multiple rounds of in-solution hybridisation-based DNA capture can retrieve whole mitochondrial genome sequences from even the most challenging samples. More... »

PAGES

26

References to SciGraph publications

  • 1992-10. Identifying individuals by sequencing mitochondrial DNA from teeth in NATURE GENETICS
  • 2001-04. An assessment of the utility of single nucleotide polymorphisms (SNPs) for forensic purposes in INTERNATIONAL JOURNAL OF LEGAL MEDICINE
  • 1995-03. Validation of mitochondrial DNA sequencing for forensic casework analysis in INTERNATIONAL JOURNAL OF LEGAL MEDICINE
  • 2003-06. New sensitive amplification primers for the STR locus D2S1338 for degraded casework DNA in INTERNATIONAL JOURNAL OF LEGAL MEDICINE
  • 2009-02. Solution hybrid selection with ultra-long oligonucleotides for massively parallel targeted sequencing in NATURE BIOTECHNOLOGY
  • 2011-12. Multiplex genotyping system for efficient inference of matrilineal genetic ancestry with continental resolution in INVESTIGATIVE GENETICS
  • 2004-06. Single nucleotide polymorphisms over the entire mtDNA genome that increase the power of forensic testing in Caucasians in INTERNATIONAL JOURNAL OF LEGAL MEDICINE
  • 2013-12. Neolithic mitochondrial haplogroup H genomes and the genetic origins of Europeans in NATURE COMMUNICATIONS
  • 2012-12. A tale of three next generation sequencing platforms: comparison of Ion Torrent, Pacific Biosciences and Illumina MiSeq sequencers in BMC GENOMICS
  • 2003-12. Complete detachment of an aortic valve prosthesis 10 years after implantation in INTERNATIONAL JOURNAL OF LEGAL MEDICINE
  • 1994-02. Identification of the remains of the Romanov family by DNA analysis in NATURE GENETICS
  • 2007-12. Genome-wide in situ exon capture for selective resequencing in NATURE GENETICS
  • 2012. Generating Barcoded Libraries for Multiplex High-Throughput Sequencing in ANCIENT DNA
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/2041-2223-4-26

    DOI

    http://dx.doi.org/10.1186/2041-2223-4-26

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1037563505

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/24289217


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0604", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Genetics", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Biological Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Flinders University", 
              "id": "https://www.grid.ac/institutes/grid.1014.4", 
              "name": [
                "School of Earth and Environmental Sciences, Australian Centre for Ancient DNA,The University of Adelaide, 5005, Adelaide, South Australia, Australia", 
                "School of Biological Sciences, Flinders University, Bedford Park, 5001, Adelaide, South Australia, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Templeton", 
            "givenName": "Jennifer E L", 
            "id": "sg:person.0576523204.16", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0576523204.16"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Huddersfield", 
              "id": "https://www.grid.ac/institutes/grid.15751.37", 
              "name": [
                "School of Earth and Environmental Sciences, Australian Centre for Ancient DNA,The University of Adelaide, 5005, Adelaide, South Australia, Australia", 
                "Archaeogenetics Research Group, School of Applied Sciences, University of Huddersfield,Queensgate, Huddersfield HD1 3DH, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Brotherton", 
            "givenName": "Paul M", 
            "id": "sg:person.01143121061.28", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01143121061.28"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Adelaide", 
              "id": "https://www.grid.ac/institutes/grid.1010.0", 
              "name": [
                "School of Earth and Environmental Sciences, Australian Centre for Ancient DNA,The University of Adelaide, 5005, Adelaide, South Australia, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Llamas", 
            "givenName": "Bastien", 
            "id": "sg:person.0717137152.58", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0717137152.58"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Adelaide", 
              "id": "https://www.grid.ac/institutes/grid.1010.0", 
              "name": [
                "School of Earth and Environmental Sciences, Australian Centre for Ancient DNA,The University of Adelaide, 5005, Adelaide, South Australia, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Soubrier", 
            "givenName": "Julien", 
            "id": "sg:person.0761065004.24", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0761065004.24"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Adelaide", 
              "id": "https://www.grid.ac/institutes/grid.1010.0", 
              "name": [
                "School of Earth and Environmental Sciences, Australian Centre for Ancient DNA,The University of Adelaide, 5005, Adelaide, South Australia, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Haak", 
            "givenName": "Wolfgang", 
            "id": "sg:person.01132765272.37", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01132765272.37"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Adelaide", 
              "id": "https://www.grid.ac/institutes/grid.1010.0", 
              "name": [
                "School of Earth and Environmental Sciences, Australian Centre for Ancient DNA,The University of Adelaide, 5005, Adelaide, South Australia, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Cooper", 
            "givenName": "Alan", 
            "id": "sg:person.01232235164.25", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01232235164.25"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Museum Victoria", 
              "id": "https://www.grid.ac/institutes/grid.436717.0", 
              "name": [
                "School of Earth and Environmental Sciences, Australian Centre for Ancient DNA,The University of Adelaide, 5005, Adelaide, South Australia, Australia", 
                "Sciences Department, Museum Victoria, Carlton Gardens, 3001,, Melbourne,Vic, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Austin", 
            "givenName": "Jeremy J", 
            "id": "sg:person.01262317632.73", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01262317632.73"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1038/ng1092-135", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000374004", 
              "https://doi.org/10.1038/ng1092-135"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-61779-516-9_19", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000836912", 
              "https://doi.org/10.1007/978-1-61779-516-9_19"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cub.2013.02.044", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001275336"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-13-341", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003392841", 
              "https://doi.org/10.1186/1471-2164-13-341"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.fsigen.2012.11.013", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003885951"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0379-0738(99)00042-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005723923"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00414-004-0427-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006421694", 
              "https://doi.org/10.1007/s00414-004-0427-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00414-004-0427-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006421694", 
              "https://doi.org/10.1007/s00414-004-0427-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkp897", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007524228"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0167-7799(98)01173-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010286875"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf01369907", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011798766", 
              "https://doi.org/10.1007/bf01369907"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf01369907", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011798766", 
              "https://doi.org/10.1007/bf01369907"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pcbi.1003031", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011830079"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.2007.42", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012402265", 
              "https://doi.org/10.1038/ng.2007.42"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.forsciint.2003.12.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016552892"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.fsigen.2009.10.014", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016790365"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.fsigen.2010.02.008", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016873410"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s004149900117", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018867503", 
              "https://doi.org/10.1007/s004149900117"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ncomms2656", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019037978", 
              "https://doi.org/10.1038/ncomms2656"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/humu.20921", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019292516"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00414-003-0405-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019800590", 
              "https://doi.org/10.1007/s00414-003-0405-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.fsigen.2011.12.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019801276"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng0294-130", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022739100", 
              "https://doi.org/10.1038/ng0294-130"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btp352", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023014918"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pbio.1000536", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025748500"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cell.2008.06.021", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027138557"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cub.2009.11.068", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028054623"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ajhg.2012.03.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029353403"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btr347", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030568980"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1098/rspb.2012.1745", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031314963"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0014004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031804493"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.fsigen.2007.09.004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031873669"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btt212", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032074994"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btt212", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032074994"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jas.2010.11.010", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035132881"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.fsigen.2011.08.010", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035696608"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.fsigss.2009.08.122", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037624848"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1556-4029.2009.01069.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037859114"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1556-4029.2009.01069.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037859114"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/2041-2223-2-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040098081", 
              "https://doi.org/10.1186/2041-2223-2-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cub.2012.06.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040594428"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.1523", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040653661", 
              "https://doi.org/10.1038/nbt.1523"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0045798", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042298925"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.fsigen.2010.01.012", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043106246"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.fsigen.2007.02.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043976629"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1556-4029.2008.00595.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044332048"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.forsciint.2005.04.034", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045485060"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.forsciint.2005.04.034", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045485060"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/elps.201200424", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050136578"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.fsigen.2010.01.015", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053361195"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1174462", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062460190"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.289.5482.1139b", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062570650"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.14806/ej.17.1.200", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1067372670"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1520/jfs14909j", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1074769374"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00414-002-0359-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1075299288", 
              "https://doi.org/10.1007/s00414-002-0359-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1075301229", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1118725", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1077140365"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1520/jfs13786j", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1082505099"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1520/jfs16169j", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1083270230"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2013-12", 
        "datePublishedReg": "2013-12-01", 
        "description": "BACKGROUND: Mitochondrial DNA (mtDNA) typing can be a useful aid for identifying people from compromised samples when nuclear DNA is too damaged, degraded or below detection thresholds for routine short tandem repeat (STR)-based analysis. Standard mtDNA typing, focused on PCR amplicon sequencing of the control region (HVS I and HVS II), is limited by the resolving power of this short sequence, which misses up to 70% of the variation present in the mtDNA genome.\nMETHODS: We used in-solution hybridisation-based DNA capture (using DNA capture probes prepared from modern human mtDNA) to recover mtDNA from post-mortem human remains in which the majority of DNA is both highly fragmented (<100 base pairs in length) and chemically damaged. The method 'immortalises' the finite quantities of DNA in valuable extracts as DNA libraries, which is followed by the targeted enrichment of endogenous mtDNA sequences and characterisation by next-generation sequencing (NGS).\nRESULTS: We sequenced whole mitochondrial genomes for human identification from samples where standard nuclear STR typing produced only partial profiles or demonstrably failed and/or where standard mtDNA hypervariable region sequences lacked resolving power. Multiple rounds of enrichment can substantially improve coverage and sequencing depth of mtDNA genomes from highly degraded samples. The application of this method has led to the reliable mitochondrial sequencing of human skeletal remains from unidentified World War Two (WWII) casualties approximately 70\u00a0years old and from archaeological remains (up to 2,500\u00a0years old).\nCONCLUSIONS: This approach has potential applications in forensic science, historical human identification cases, archived medical samples, kinship analysis and population studies. In particular the methodology can be applied to any case, involving human or non-human species, where whole mitochondrial genome sequences are required to provide the highest level of maternal lineage discrimination. Multiple rounds of in-solution hybridisation-based DNA capture can retrieve whole mitochondrial genome sequences from even the most challenging samples.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1186/2041-2223-4-26", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.3568625", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.3575710", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1044399", 
            "issn": [
              "2041-2223"
            ], 
            "name": "Investigative Genetics", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "4"
          }
        ], 
        "name": "DNA capture and next-generation sequencing can recover whole mitochondrial genomes from highly degraded samples for human identification", 
        "pagination": "26", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "b2f058ea89d005611396c7b9a51f3ffb40b79d317d6b7bf8fac5ad9f860cb51b"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "24289217"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "101546908"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/2041-2223-4-26"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1037563505"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/2041-2223-4-26", 
          "https://app.dimensions.ai/details/publication/pub.1037563505"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T13:23", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8659_00000537.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1186%2F2041-2223-4-26"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/2041-2223-4-26'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/2041-2223-4-26'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/2041-2223-4-26'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/2041-2223-4-26'


     

    This table displays all metadata directly associated to this object as RDF triples.

    300 TRIPLES      21 PREDICATES      83 URIs      21 LITERALS      9 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/2041-2223-4-26 schema:about anzsrc-for:06
    2 anzsrc-for:0604
    3 schema:author N2761e6eb9bc248009c5cbcebdc48dbf3
    4 schema:citation sg:pub.10.1007/978-1-61779-516-9_19
    5 sg:pub.10.1007/bf01369907
    6 sg:pub.10.1007/s00414-002-0359-y
    7 sg:pub.10.1007/s00414-003-0405-4
    8 sg:pub.10.1007/s00414-004-0427-6
    9 sg:pub.10.1007/s004149900117
    10 sg:pub.10.1038/nbt.1523
    11 sg:pub.10.1038/ncomms2656
    12 sg:pub.10.1038/ng.2007.42
    13 sg:pub.10.1038/ng0294-130
    14 sg:pub.10.1038/ng1092-135
    15 sg:pub.10.1186/1471-2164-13-341
    16 sg:pub.10.1186/2041-2223-2-6
    17 https://app.dimensions.ai/details/publication/pub.1075301229
    18 https://doi.org/10.1002/elps.201200424
    19 https://doi.org/10.1002/humu.20921
    20 https://doi.org/10.1016/j.ajhg.2012.03.002
    21 https://doi.org/10.1016/j.cell.2008.06.021
    22 https://doi.org/10.1016/j.cub.2009.11.068
    23 https://doi.org/10.1016/j.cub.2012.06.005
    24 https://doi.org/10.1016/j.cub.2013.02.044
    25 https://doi.org/10.1016/j.forsciint.2003.12.005
    26 https://doi.org/10.1016/j.forsciint.2005.04.034
    27 https://doi.org/10.1016/j.fsigen.2007.02.003
    28 https://doi.org/10.1016/j.fsigen.2007.09.004
    29 https://doi.org/10.1016/j.fsigen.2009.10.014
    30 https://doi.org/10.1016/j.fsigen.2010.01.012
    31 https://doi.org/10.1016/j.fsigen.2010.01.015
    32 https://doi.org/10.1016/j.fsigen.2010.02.008
    33 https://doi.org/10.1016/j.fsigen.2011.08.010
    34 https://doi.org/10.1016/j.fsigen.2011.12.003
    35 https://doi.org/10.1016/j.fsigen.2012.11.013
    36 https://doi.org/10.1016/j.fsigss.2009.08.122
    37 https://doi.org/10.1016/j.jas.2010.11.010
    38 https://doi.org/10.1016/s0167-7799(98)01173-1
    39 https://doi.org/10.1016/s0379-0738(99)00042-0
    40 https://doi.org/10.1093/bioinformatics/btp352
    41 https://doi.org/10.1093/bioinformatics/btr347
    42 https://doi.org/10.1093/bioinformatics/btt212
    43 https://doi.org/10.1093/nar/gkp897
    44 https://doi.org/10.1098/rspb.2012.1745
    45 https://doi.org/10.1111/j.1556-4029.2008.00595.x
    46 https://doi.org/10.1111/j.1556-4029.2009.01069.x
    47 https://doi.org/10.1126/science.1118725
    48 https://doi.org/10.1126/science.1174462
    49 https://doi.org/10.1126/science.289.5482.1139b
    50 https://doi.org/10.1371/journal.pbio.1000536
    51 https://doi.org/10.1371/journal.pcbi.1003031
    52 https://doi.org/10.1371/journal.pone.0014004
    53 https://doi.org/10.1371/journal.pone.0045798
    54 https://doi.org/10.14806/ej.17.1.200
    55 https://doi.org/10.1520/jfs13786j
    56 https://doi.org/10.1520/jfs14909j
    57 https://doi.org/10.1520/jfs16169j
    58 schema:datePublished 2013-12
    59 schema:datePublishedReg 2013-12-01
    60 schema:description BACKGROUND: Mitochondrial DNA (mtDNA) typing can be a useful aid for identifying people from compromised samples when nuclear DNA is too damaged, degraded or below detection thresholds for routine short tandem repeat (STR)-based analysis. Standard mtDNA typing, focused on PCR amplicon sequencing of the control region (HVS I and HVS II), is limited by the resolving power of this short sequence, which misses up to 70% of the variation present in the mtDNA genome. METHODS: We used in-solution hybridisation-based DNA capture (using DNA capture probes prepared from modern human mtDNA) to recover mtDNA from post-mortem human remains in which the majority of DNA is both highly fragmented (<100 base pairs in length) and chemically damaged. The method 'immortalises' the finite quantities of DNA in valuable extracts as DNA libraries, which is followed by the targeted enrichment of endogenous mtDNA sequences and characterisation by next-generation sequencing (NGS). RESULTS: We sequenced whole mitochondrial genomes for human identification from samples where standard nuclear STR typing produced only partial profiles or demonstrably failed and/or where standard mtDNA hypervariable region sequences lacked resolving power. Multiple rounds of enrichment can substantially improve coverage and sequencing depth of mtDNA genomes from highly degraded samples. The application of this method has led to the reliable mitochondrial sequencing of human skeletal remains from unidentified World War Two (WWII) casualties approximately 70 years old and from archaeological remains (up to 2,500 years old). CONCLUSIONS: This approach has potential applications in forensic science, historical human identification cases, archived medical samples, kinship analysis and population studies. In particular the methodology can be applied to any case, involving human or non-human species, where whole mitochondrial genome sequences are required to provide the highest level of maternal lineage discrimination. Multiple rounds of in-solution hybridisation-based DNA capture can retrieve whole mitochondrial genome sequences from even the most challenging samples.
    61 schema:genre research_article
    62 schema:inLanguage en
    63 schema:isAccessibleForFree true
    64 schema:isPartOf N0f8ab78a216f43cb8aafbdd469746457
    65 Ne77213d115be4482b24923873ed92e2a
    66 sg:journal.1044399
    67 schema:name DNA capture and next-generation sequencing can recover whole mitochondrial genomes from highly degraded samples for human identification
    68 schema:pagination 26
    69 schema:productId N27bc1435999c40c0a9da1ac8df03e676
    70 N42c331e6e8ac417da727f01a38d25df8
    71 N4ccde2d873da4642bccfcf5a14e473d4
    72 N696dbb9236744978b266e0f42fdefea5
    73 Nade11f6aae0d4beb818af959122078e8
    74 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037563505
    75 https://doi.org/10.1186/2041-2223-4-26
    76 schema:sdDatePublished 2019-04-10T13:23
    77 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    78 schema:sdPublisher N8f25a0328cc7466cb50731613d0bb2dd
    79 schema:url http://link.springer.com/10.1186%2F2041-2223-4-26
    80 sgo:license sg:explorer/license/
    81 sgo:sdDataset articles
    82 rdf:type schema:ScholarlyArticle
    83 N02eba4161741428bb6963f1b77377426 rdf:first sg:person.01232235164.25
    84 rdf:rest Ne38318fdd0bd4069a476e979c909bb8e
    85 N0f8ab78a216f43cb8aafbdd469746457 schema:volumeNumber 4
    86 rdf:type schema:PublicationVolume
    87 N2761e6eb9bc248009c5cbcebdc48dbf3 rdf:first sg:person.0576523204.16
    88 rdf:rest N41f9965931af470e8a21547faceadc00
    89 N27bc1435999c40c0a9da1ac8df03e676 schema:name readcube_id
    90 schema:value b2f058ea89d005611396c7b9a51f3ffb40b79d317d6b7bf8fac5ad9f860cb51b
    91 rdf:type schema:PropertyValue
    92 N3163f2caff7a4747a36ae669f19bb794 rdf:first sg:person.01132765272.37
    93 rdf:rest N02eba4161741428bb6963f1b77377426
    94 N41f9965931af470e8a21547faceadc00 rdf:first sg:person.01143121061.28
    95 rdf:rest N96b17213e10c434890311a5ac1ceecc4
    96 N42c331e6e8ac417da727f01a38d25df8 schema:name pubmed_id
    97 schema:value 24289217
    98 rdf:type schema:PropertyValue
    99 N4ccde2d873da4642bccfcf5a14e473d4 schema:name nlm_unique_id
    100 schema:value 101546908
    101 rdf:type schema:PropertyValue
    102 N696dbb9236744978b266e0f42fdefea5 schema:name doi
    103 schema:value 10.1186/2041-2223-4-26
    104 rdf:type schema:PropertyValue
    105 N6af867f1a96a4e53ac25326d8106edaf rdf:first sg:person.0761065004.24
    106 rdf:rest N3163f2caff7a4747a36ae669f19bb794
    107 N8f25a0328cc7466cb50731613d0bb2dd schema:name Springer Nature - SN SciGraph project
    108 rdf:type schema:Organization
    109 N96b17213e10c434890311a5ac1ceecc4 rdf:first sg:person.0717137152.58
    110 rdf:rest N6af867f1a96a4e53ac25326d8106edaf
    111 Nade11f6aae0d4beb818af959122078e8 schema:name dimensions_id
    112 schema:value pub.1037563505
    113 rdf:type schema:PropertyValue
    114 Ne38318fdd0bd4069a476e979c909bb8e rdf:first sg:person.01262317632.73
    115 rdf:rest rdf:nil
    116 Ne77213d115be4482b24923873ed92e2a schema:issueNumber 1
    117 rdf:type schema:PublicationIssue
    118 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    119 schema:name Biological Sciences
    120 rdf:type schema:DefinedTerm
    121 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    122 schema:name Genetics
    123 rdf:type schema:DefinedTerm
    124 sg:grant.3568625 http://pending.schema.org/fundedItem sg:pub.10.1186/2041-2223-4-26
    125 rdf:type schema:MonetaryGrant
    126 sg:grant.3575710 http://pending.schema.org/fundedItem sg:pub.10.1186/2041-2223-4-26
    127 rdf:type schema:MonetaryGrant
    128 sg:journal.1044399 schema:issn 2041-2223
    129 schema:name Investigative Genetics
    130 rdf:type schema:Periodical
    131 sg:person.01132765272.37 schema:affiliation https://www.grid.ac/institutes/grid.1010.0
    132 schema:familyName Haak
    133 schema:givenName Wolfgang
    134 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01132765272.37
    135 rdf:type schema:Person
    136 sg:person.01143121061.28 schema:affiliation https://www.grid.ac/institutes/grid.15751.37
    137 schema:familyName Brotherton
    138 schema:givenName Paul M
    139 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01143121061.28
    140 rdf:type schema:Person
    141 sg:person.01232235164.25 schema:affiliation https://www.grid.ac/institutes/grid.1010.0
    142 schema:familyName Cooper
    143 schema:givenName Alan
    144 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01232235164.25
    145 rdf:type schema:Person
    146 sg:person.01262317632.73 schema:affiliation https://www.grid.ac/institutes/grid.436717.0
    147 schema:familyName Austin
    148 schema:givenName Jeremy J
    149 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01262317632.73
    150 rdf:type schema:Person
    151 sg:person.0576523204.16 schema:affiliation https://www.grid.ac/institutes/grid.1014.4
    152 schema:familyName Templeton
    153 schema:givenName Jennifer E L
    154 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0576523204.16
    155 rdf:type schema:Person
    156 sg:person.0717137152.58 schema:affiliation https://www.grid.ac/institutes/grid.1010.0
    157 schema:familyName Llamas
    158 schema:givenName Bastien
    159 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0717137152.58
    160 rdf:type schema:Person
    161 sg:person.0761065004.24 schema:affiliation https://www.grid.ac/institutes/grid.1010.0
    162 schema:familyName Soubrier
    163 schema:givenName Julien
    164 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0761065004.24
    165 rdf:type schema:Person
    166 sg:pub.10.1007/978-1-61779-516-9_19 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000836912
    167 https://doi.org/10.1007/978-1-61779-516-9_19
    168 rdf:type schema:CreativeWork
    169 sg:pub.10.1007/bf01369907 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011798766
    170 https://doi.org/10.1007/bf01369907
    171 rdf:type schema:CreativeWork
    172 sg:pub.10.1007/s00414-002-0359-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1075299288
    173 https://doi.org/10.1007/s00414-002-0359-y
    174 rdf:type schema:CreativeWork
    175 sg:pub.10.1007/s00414-003-0405-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019800590
    176 https://doi.org/10.1007/s00414-003-0405-4
    177 rdf:type schema:CreativeWork
    178 sg:pub.10.1007/s00414-004-0427-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006421694
    179 https://doi.org/10.1007/s00414-004-0427-6
    180 rdf:type schema:CreativeWork
    181 sg:pub.10.1007/s004149900117 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018867503
    182 https://doi.org/10.1007/s004149900117
    183 rdf:type schema:CreativeWork
    184 sg:pub.10.1038/nbt.1523 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040653661
    185 https://doi.org/10.1038/nbt.1523
    186 rdf:type schema:CreativeWork
    187 sg:pub.10.1038/ncomms2656 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019037978
    188 https://doi.org/10.1038/ncomms2656
    189 rdf:type schema:CreativeWork
    190 sg:pub.10.1038/ng.2007.42 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012402265
    191 https://doi.org/10.1038/ng.2007.42
    192 rdf:type schema:CreativeWork
    193 sg:pub.10.1038/ng0294-130 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022739100
    194 https://doi.org/10.1038/ng0294-130
    195 rdf:type schema:CreativeWork
    196 sg:pub.10.1038/ng1092-135 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000374004
    197 https://doi.org/10.1038/ng1092-135
    198 rdf:type schema:CreativeWork
    199 sg:pub.10.1186/1471-2164-13-341 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003392841
    200 https://doi.org/10.1186/1471-2164-13-341
    201 rdf:type schema:CreativeWork
    202 sg:pub.10.1186/2041-2223-2-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040098081
    203 https://doi.org/10.1186/2041-2223-2-6
    204 rdf:type schema:CreativeWork
    205 https://app.dimensions.ai/details/publication/pub.1075301229 schema:CreativeWork
    206 https://doi.org/10.1002/elps.201200424 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050136578
    207 rdf:type schema:CreativeWork
    208 https://doi.org/10.1002/humu.20921 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019292516
    209 rdf:type schema:CreativeWork
    210 https://doi.org/10.1016/j.ajhg.2012.03.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029353403
    211 rdf:type schema:CreativeWork
    212 https://doi.org/10.1016/j.cell.2008.06.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027138557
    213 rdf:type schema:CreativeWork
    214 https://doi.org/10.1016/j.cub.2009.11.068 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028054623
    215 rdf:type schema:CreativeWork
    216 https://doi.org/10.1016/j.cub.2012.06.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040594428
    217 rdf:type schema:CreativeWork
    218 https://doi.org/10.1016/j.cub.2013.02.044 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001275336
    219 rdf:type schema:CreativeWork
    220 https://doi.org/10.1016/j.forsciint.2003.12.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016552892
    221 rdf:type schema:CreativeWork
    222 https://doi.org/10.1016/j.forsciint.2005.04.034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045485060
    223 rdf:type schema:CreativeWork
    224 https://doi.org/10.1016/j.fsigen.2007.02.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043976629
    225 rdf:type schema:CreativeWork
    226 https://doi.org/10.1016/j.fsigen.2007.09.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031873669
    227 rdf:type schema:CreativeWork
    228 https://doi.org/10.1016/j.fsigen.2009.10.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016790365
    229 rdf:type schema:CreativeWork
    230 https://doi.org/10.1016/j.fsigen.2010.01.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043106246
    231 rdf:type schema:CreativeWork
    232 https://doi.org/10.1016/j.fsigen.2010.01.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053361195
    233 rdf:type schema:CreativeWork
    234 https://doi.org/10.1016/j.fsigen.2010.02.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016873410
    235 rdf:type schema:CreativeWork
    236 https://doi.org/10.1016/j.fsigen.2011.08.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035696608
    237 rdf:type schema:CreativeWork
    238 https://doi.org/10.1016/j.fsigen.2011.12.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019801276
    239 rdf:type schema:CreativeWork
    240 https://doi.org/10.1016/j.fsigen.2012.11.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003885951
    241 rdf:type schema:CreativeWork
    242 https://doi.org/10.1016/j.fsigss.2009.08.122 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037624848
    243 rdf:type schema:CreativeWork
    244 https://doi.org/10.1016/j.jas.2010.11.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035132881
    245 rdf:type schema:CreativeWork
    246 https://doi.org/10.1016/s0167-7799(98)01173-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010286875
    247 rdf:type schema:CreativeWork
    248 https://doi.org/10.1016/s0379-0738(99)00042-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005723923
    249 rdf:type schema:CreativeWork
    250 https://doi.org/10.1093/bioinformatics/btp352 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023014918
    251 rdf:type schema:CreativeWork
    252 https://doi.org/10.1093/bioinformatics/btr347 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030568980
    253 rdf:type schema:CreativeWork
    254 https://doi.org/10.1093/bioinformatics/btt212 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032074994
    255 rdf:type schema:CreativeWork
    256 https://doi.org/10.1093/nar/gkp897 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007524228
    257 rdf:type schema:CreativeWork
    258 https://doi.org/10.1098/rspb.2012.1745 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031314963
    259 rdf:type schema:CreativeWork
    260 https://doi.org/10.1111/j.1556-4029.2008.00595.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1044332048
    261 rdf:type schema:CreativeWork
    262 https://doi.org/10.1111/j.1556-4029.2009.01069.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1037859114
    263 rdf:type schema:CreativeWork
    264 https://doi.org/10.1126/science.1118725 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077140365
    265 rdf:type schema:CreativeWork
    266 https://doi.org/10.1126/science.1174462 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062460190
    267 rdf:type schema:CreativeWork
    268 https://doi.org/10.1126/science.289.5482.1139b schema:sameAs https://app.dimensions.ai/details/publication/pub.1062570650
    269 rdf:type schema:CreativeWork
    270 https://doi.org/10.1371/journal.pbio.1000536 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025748500
    271 rdf:type schema:CreativeWork
    272 https://doi.org/10.1371/journal.pcbi.1003031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011830079
    273 rdf:type schema:CreativeWork
    274 https://doi.org/10.1371/journal.pone.0014004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031804493
    275 rdf:type schema:CreativeWork
    276 https://doi.org/10.1371/journal.pone.0045798 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042298925
    277 rdf:type schema:CreativeWork
    278 https://doi.org/10.14806/ej.17.1.200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1067372670
    279 rdf:type schema:CreativeWork
    280 https://doi.org/10.1520/jfs13786j schema:sameAs https://app.dimensions.ai/details/publication/pub.1082505099
    281 rdf:type schema:CreativeWork
    282 https://doi.org/10.1520/jfs14909j schema:sameAs https://app.dimensions.ai/details/publication/pub.1074769374
    283 rdf:type schema:CreativeWork
    284 https://doi.org/10.1520/jfs16169j schema:sameAs https://app.dimensions.ai/details/publication/pub.1083270230
    285 rdf:type schema:CreativeWork
    286 https://www.grid.ac/institutes/grid.1010.0 schema:alternateName University of Adelaide
    287 schema:name School of Earth and Environmental Sciences, Australian Centre for Ancient DNA,The University of Adelaide, 5005, Adelaide, South Australia, Australia
    288 rdf:type schema:Organization
    289 https://www.grid.ac/institutes/grid.1014.4 schema:alternateName Flinders University
    290 schema:name School of Biological Sciences, Flinders University, Bedford Park, 5001, Adelaide, South Australia, Australia
    291 School of Earth and Environmental Sciences, Australian Centre for Ancient DNA,The University of Adelaide, 5005, Adelaide, South Australia, Australia
    292 rdf:type schema:Organization
    293 https://www.grid.ac/institutes/grid.15751.37 schema:alternateName University of Huddersfield
    294 schema:name Archaeogenetics Research Group, School of Applied Sciences, University of Huddersfield,Queensgate, Huddersfield HD1 3DH, UK
    295 School of Earth and Environmental Sciences, Australian Centre for Ancient DNA,The University of Adelaide, 5005, Adelaide, South Australia, Australia
    296 rdf:type schema:Organization
    297 https://www.grid.ac/institutes/grid.436717.0 schema:alternateName Museum Victoria
    298 schema:name School of Earth and Environmental Sciences, Australian Centre for Ancient DNA,The University of Adelaide, 5005, Adelaide, South Australia, Australia
    299 Sciences Department, Museum Victoria, Carlton Gardens, 3001,, Melbourne,Vic, Australia
    300 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...