Multiplexed SNP typing of ancient DNA clarifies the origin of Andaman mtDNA haplogroups amongst South Asian tribal populations
<p>The issue of errors in genetic data sets is of growing concern, particularly in population genetics where whole genome mtDNA sequence data is coming under increased scrutiny. Multiplexed PCR reactions, combined with SNP typing, are currently under-exploited in this context, but have the pot...
| Main Authors: | , , , , , |
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| Format: | Journal article |
| Language: | English |
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Public Library of Science
2006
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| Subjects: |
| _version_ | 1826261349963923456 |
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| author | Endicott, P Metspalu, M Stringer, C Macaulay, V Cooper, A Sanchez, J |
| author_facet | Endicott, P Metspalu, M Stringer, C Macaulay, V Cooper, A Sanchez, J |
| author_sort | Endicott, P |
| collection | OXFORD |
| description | <p>The issue of errors in genetic data sets is of growing concern, particularly in population genetics where whole genome mtDNA sequence data is coming under increased scrutiny. Multiplexed PCR reactions, combined with SNP typing, are currently under-exploited in this context, but have the potential to genotype whole populations rapidly and accurately, significantly reducing the amount of errors appearing in published data sets. To show the sensitivity of this technique for screening mtDNA genomic sequence data, 20 historic samples of the enigmatic Andaman Islanders and 12 modern samples from three Indian tribal populations (Chenchu, Lambadi and Lodha) were genotyped for 20 coding region sites after provisional haplogroup assignment with control region sequences. The genotype data from the historic samples significantly revise the topologies for the Andaman M31 and M32 mtDNA lineages by rectifying conflicts in published data sets. The new Indian data extend the distribution of the M31a lineage to South Asia, challenging previous interpretations of mtDAN phylogeography. This genetic connection between the ancestors of the Andamanese and South Asian tribal groups ~30 kya has important implications for the debate concerning migration routes and settlement patterns of humans leaving Africa during the late Pleistocene, and indicates the need for more detailed genotyping strategies. The methodology serves as a low-cost, high-throughput model for the production and authentication of data from modern or ancient DNA, and demonstrates the value of museum collections as important records of human genetic diversity.</p> |
| first_indexed | 2024-03-06T19:20:00Z |
| format | Journal article |
| id | oxford-uuid:19c1040f-c7f0-4bca-9c85-391cfe860eb9 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-06T19:20:00Z |
| publishDate | 2006 |
| publisher | Public Library of Science |
| record_format | dspace |
| spelling | oxford-uuid:19c1040f-c7f0-4bca-9c85-391cfe860eb92022-03-26T10:50:45ZMultiplexed SNP typing of ancient DNA clarifies the origin of Andaman mtDNA haplogroups amongst South Asian tribal populationsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:19c1040f-c7f0-4bca-9c85-391cfe860eb9Evolution (zoology)Computationally-intensive statisticsZoological sciencesEnglishOxford University Research Archive - ValetPublic Library of Science2006Endicott, PMetspalu, MStringer, CMacaulay, VCooper, ASanchez, J<p>The issue of errors in genetic data sets is of growing concern, particularly in population genetics where whole genome mtDNA sequence data is coming under increased scrutiny. Multiplexed PCR reactions, combined with SNP typing, are currently under-exploited in this context, but have the potential to genotype whole populations rapidly and accurately, significantly reducing the amount of errors appearing in published data sets. To show the sensitivity of this technique for screening mtDNA genomic sequence data, 20 historic samples of the enigmatic Andaman Islanders and 12 modern samples from three Indian tribal populations (Chenchu, Lambadi and Lodha) were genotyped for 20 coding region sites after provisional haplogroup assignment with control region sequences. The genotype data from the historic samples significantly revise the topologies for the Andaman M31 and M32 mtDNA lineages by rectifying conflicts in published data sets. The new Indian data extend the distribution of the M31a lineage to South Asia, challenging previous interpretations of mtDAN phylogeography. This genetic connection between the ancestors of the Andamanese and South Asian tribal groups ~30 kya has important implications for the debate concerning migration routes and settlement patterns of humans leaving Africa during the late Pleistocene, and indicates the need for more detailed genotyping strategies. The methodology serves as a low-cost, high-throughput model for the production and authentication of data from modern or ancient DNA, and demonstrates the value of museum collections as important records of human genetic diversity.</p> |
| spellingShingle | Evolution (zoology) Computationally-intensive statistics Zoological sciences Endicott, P Metspalu, M Stringer, C Macaulay, V Cooper, A Sanchez, J Multiplexed SNP typing of ancient DNA clarifies the origin of Andaman mtDNA haplogroups amongst South Asian tribal populations |
| title | Multiplexed SNP typing of ancient DNA clarifies the origin of Andaman mtDNA haplogroups amongst South Asian tribal populations |
| title_full | Multiplexed SNP typing of ancient DNA clarifies the origin of Andaman mtDNA haplogroups amongst South Asian tribal populations |
| title_fullStr | Multiplexed SNP typing of ancient DNA clarifies the origin of Andaman mtDNA haplogroups amongst South Asian tribal populations |
| title_full_unstemmed | Multiplexed SNP typing of ancient DNA clarifies the origin of Andaman mtDNA haplogroups amongst South Asian tribal populations |
| title_short | Multiplexed SNP typing of ancient DNA clarifies the origin of Andaman mtDNA haplogroups amongst South Asian tribal populations |
| title_sort | multiplexed snp typing of ancient dna clarifies the origin of andaman mtdna haplogroups amongst south asian tribal populations |
| topic | Evolution (zoology) Computationally-intensive statistics Zoological sciences |
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