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Patterns of sequencing coverage bias revealed by ultra-deep sequencing of vertebrate mitochondria
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
2014 (English)In: BMC Genomics, ISSN 1471-2164, E-ISSN 1471-2164, Vol. 15, 467- p.Article in journal (Refereed) Published
Abstract [en]

Background: Genome and transcriptome sequencing applications that rely on variation in sequence depth can be negatively affected if there are systematic biases in coverage. We have investigated patterns of local variation in sequencing coverage by utilising ultra-deep sequencing (>100,000X) of mtDNA obtained during sequencing of two vertebrate genomes, wolverine (Gulo gulo) and collared flycatcher (Ficedula albicollis). With such extreme depth, stochastic variation in coverage should be negligible, which allows us to provide a very detailed, fine-scale picture of sequence dependent coverage variation and sequencing error rates. Results: Sequencing coverage showed up to six-fold variation across the complete mtDNA and this variation was highly repeatable in sequencing of multiple individuals of the same species. Moreover, coverage in orthologous regions was correlated between the two species and was negatively correlated with GC content. We also found a negative correlation between the site-specific sequencing error rate and coverage, with certain sequence motifs "CCNGCC" being particularly prone to high rates of error and low coverage. Conclusions: Our results demonstrate that inherent sequence characteristics govern variation in coverage and suggest that some of this variation, like GC content, should be controlled for in, for example, RNA-Seq and detection of copy number variation.

Place, publisher, year, edition, pages
2014. Vol. 15, 467- p.
Keyword [en]
Next generation sequencing, Sequencing bias, Error rate, SSE, mtDNA
National Category
Evolutionary Biology
Identifiers
URN: urn:nbn:se:uu:diva-228703DOI: 10.1186/1471-2164-15-467ISI: 000337701000003OAI: oai:DiVA.org:uu-228703DiVA: diva2:734881
Available from: 2014-07-21 Created: 2014-07-21 Last updated: 2017-12-05Bibliographically approved

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Ekblom, RobertSmeds, LinneaEllegren, Hans

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