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1000 Titel
  • Comparative performance of the BGISEQ-500 versus Illumina HISeq2500 sequencing platforms for palaeogenomic sequencing
1000 Autor/in
  1. Mak, Sarah Siu Tze |
  2. Gopalakrishnan, Shyam |
  3. Carøe, Christian |
  4. Geng, Chunyu |
  5. Liu, Shanlin |
  6. Sinding, Mikkel-Holger S. |
  7. Kuderna, Lukas F. K. |
  8. Zhang, Wenwei |
  9. Fu, Shujin |
  10. Vieira, Filipe G. |
  11. Germonpré, Mietje |
  12. BOCHERENS, Hervé |
  13. Fedorov, Sergey |
  14. Petersen, Bent |
  15. Sicheritz-Pontén, Thomas |
  16. Marques-Bonet, Tomas |
  17. Zhang, Guojie |
  18. Jiang, Hui |
  19. Gilbert, M. Thomas P. |
1000 Erscheinungsjahr 2017
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2017-06-26
1000 Erschienen in
1000 Quellenangabe
  • 6(8):1-13
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2017
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1093/gigascience/gix049 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5570000/ |
1000 Ergänzendes Material
  • https://academic.oup.com/gigascience/article/6/8/gix049/3888813#supplementary-data |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Ancient DNA research has been revolutionized following development of next-generation sequencing platforms. Although a number of such platforms have been applied to ancient DNA samples, the Illumina series are the dominant choice today, mainly because of high production capacities and short read production. Recently a potentially attractive alternative platform for palaeogenomic data generation has been developed, the BGISEQ-500, whose sequence output are comparable with the Illumina series. In this study, we modified the standard BGISEQ-500 library preparation specifically for use on degraded DNA, then directly compared the sequencing performance and data quality of the BGISEQ-500 to the Illumina HiSeq2500 platform on DNA extracted from 8 historic and ancient dog and wolf samples. The data generated were largely comparable between sequencing platforms, with no statistically significant difference observed for parameters including level (P = 0.371) and average sequence length (P = 0718) of endogenous nuclear DNA, sequence GC content (P = 0.311), double-stranded DNA damage rate (v. 0.309), and sequence clonality (P = 0.093). Small significant differences were found in single-strand DNA damage rate (δS; slightly lower for the BGISEQ-500, P = 0.011) and the background rate of difference from the reference genome (θ; slightly higher for BGISEQ-500, P = 0.012). This may result from the differences in amplification cycles used to polymerase chain reaction–amplify the libraries. A significant difference was also observed in the mitochondrial DNA percentages recovered (P = 0.018), although we believe this is likely a stochastic effect relating to the extremely low levels of mitochondria that were sequenced from 3 of the samples with overall very low levels of endogenous DNA. Although we acknowledge that our analyses were limited to animal material, our observations suggest that the BGISEQ-500 holds the potential to represent a valid and potentially valuable alternative platform for palaeogenomic data generation that is worthy of future exploration by those interested in the sequencing and analysis of degraded DNA.
1000 Sacherschließung
lokal BGISEQ-500
lokal ancient DNA
lokal Illumina HiSeq 2500
lokal comparative performance
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/creator/TWFrLCBTYXJhaCBTaXUgVHpl|https://frl.publisso.de/adhoc/creator/R29wYWxha3Jpc2huYW4sIFNoeWFt|https://frl.publisso.de/adhoc/creator/Q2Fyw7hlLCBDaHJpc3RpYW4=|https://frl.publisso.de/adhoc/creator/R2VuZywgQ2h1bnl1|https://frl.publisso.de/adhoc/creator/TGl1LCBTaGFubGlu|https://frl.publisso.de/adhoc/creator/U2luZGluZywgTWlra2VsLUhvbGdlciBTLg==|https://frl.publisso.de/adhoc/creator/S3VkZXJuYSwgTHVrYXMgRi4gSy4=|https://frl.publisso.de/adhoc/creator/WmhhbmcsIFdlbndlaQ==|https://frl.publisso.de/adhoc/creator/RnUsIFNodWppbg==|https://frl.publisso.de/adhoc/creator/VmllaXJhLCBGaWxpcGUgRy4=|https://frl.publisso.de/adhoc/creator/R2VybW9ucHLDqSwgTWlldGpl|http://orcid.org/0000-0002-0494-0126|https://frl.publisso.de/adhoc/creator/RmVkb3JvdiwgU2VyZ2V5|https://frl.publisso.de/adhoc/creator/UGV0ZXJzZW4sIEJlbnQ=|https://frl.publisso.de/adhoc/creator/U2ljaGVyaXR6LVBvbnTDqW4sIFRob21hcyA=|https://frl.publisso.de/adhoc/creator/TWFycXVlcy1Cb25ldCwgVG9tYXM=|https://frl.publisso.de/adhoc/creator/WmhhbmcsIEd1b2ppZQ==|https://frl.publisso.de/adhoc/creator/SmlhbmcsIEh1aQ==|https://frl.publisso.de/adhoc/creator/R2lsYmVydCwgTS4gVGhvbWFzIFAu
1000 Label
1000 Förderer
  1. European research Concil (ERC) |
  2. European Union (EU) |
  3. Danish Council for Independent Research |
  4. Velux Foundations |
  5. Aage og Johanne Louis-Hansens Fond |
  6. China National GeneBank |
  7. Beijing Genomics Institute (BGI) |
  8. Generalitat de Catalunya |
1000 Fördernummer
  1. 681396; BFU2015–6215
  2. H2020-MSCA-ETN-643063
  3. 4005–00107
  4. -
  5. -
  6. -
  7. -
  8. BFU2014–55090-P
1000 Förderprogramm
  1. ERC Consolidator Grant
  2. Marie Sklodowska-Curie Actions; Horizon 2020, FEDER
  3. -
  4. -
  5. -
  6. -
  7. -
  8. FPI fellowship; MINECO
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer European research Concil (ERC) |
    1000 Förderprogramm ERC Consolidator Grant
    1000 Fördernummer 681396; BFU2015–6215
  2. 1000 joinedFunding-child
    1000 Förderer European Union (EU) |
    1000 Förderprogramm Marie Sklodowska-Curie Actions; Horizon 2020, FEDER
    1000 Fördernummer H2020-MSCA-ETN-643063
  3. 1000 joinedFunding-child
    1000 Förderer Danish Council for Independent Research |
    1000 Förderprogramm -
    1000 Fördernummer 4005–00107
  4. 1000 joinedFunding-child
    1000 Förderer Velux Foundations |
    1000 Förderprogramm -
    1000 Fördernummer -
  5. 1000 joinedFunding-child
    1000 Förderer Aage og Johanne Louis-Hansens Fond |
    1000 Förderprogramm -
    1000 Fördernummer -
  6. 1000 joinedFunding-child
    1000 Förderer China National GeneBank |
    1000 Förderprogramm -
    1000 Fördernummer -
  7. 1000 joinedFunding-child
    1000 Förderer Beijing Genomics Institute (BGI) |
    1000 Förderprogramm -
    1000 Fördernummer -
  8. 1000 joinedFunding-child
    1000 Förderer Generalitat de Catalunya |
    1000 Förderprogramm FPI fellowship; MINECO
    1000 Fördernummer BFU2014–55090-P
1000 Objektart article
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1000 @id frl:6412662.rdf
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