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Next-Generation Sequencing of Human Mitochondrial Reference Genomes Uncovers High Heteroplasmy Frequency
Author(s) -
Maria X. Sosa,
I.K. Ashok Sivakumar,
Samantha Maragh,
Vamsi Veeramachaneni,
Ramesh Hariharan,
Minothi Parulekar,
Karin M. Fredrikson,
Timothy T. Harkins,
Jeffrey S. Lin,
Andrew B. Feldman,
Pramila Tata,
Georg Ehret,
Aravinda Chakravarti
Publication year - 2012
Publication title -
plos computational biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.628
H-Index - 182
eISSN - 1553-7358
pISSN - 1553-734X
DOI - 10.1371/journal.pcbi.1002737
Subject(s) - heteroplasmy , international hapmap project , biology , pyrosequencing , genetics , mitochondrial dna , reference genome , dna sequencing , human genome , deep sequencing , genome , computational biology , genomics , 1000 genomes project , single nucleotide polymorphism , gene , genotype
We describe methods for rapid sequencing of the entire human mitochondrial genome (mtgenome), which involve long-range PCR for specific amplification of the mtgenome, pyrosequencing, quantitative mapping of sequence reads to identify sequence variants and heteroplasmy, as well as de novo sequence assembly. These methods have been used to study 40 publicly available HapMap samples of European (CEU) and African (YRI) ancestry to demonstrate a sequencing error rate <5.63×10 −4 , nucleotide diversity of 1.6×10 −3 for CEU and 3.7×10 −3 for YRI, patterns of sequence variation consistent with earlier studies, but a higher rate of heteroplasmy varying between 10% and 50%. These results demonstrate that next-generation sequencing technologies allow interrogation of the mitochondrial genome in greater depth than previously possible which may be of value in biology and medicine.

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