A Study on Burrows-Wheeler Aligner’s Performance Optimization for Ancient DNA Mapping

Autor: Anders Götherström, Catarina Ginja, Cindy Sarmento, Gülşah Merve Kılınç, Nuno A. Fonseca, Ana Elisabete Pires, Silvia Guimaraes
Přispěvatelé: Sarmento, Cindy, Guimarães, Silvia, Kılınç, Gülşah Merve, Götherström, Anders, Pires, Ana Elisabete, Ginja, Catarina, Fonseca, Nuno A., Sarmento, Cindy [0000-0003-1762-500X], Guimarães, Silvia [0000-0002-3778-3315], Kılınç, Gülşah Merve [0000-0002-2024-3910], Götherström, Anders [0000-0001-8579-1304], Pires, Ana Elisabete [0000-0002-1118-8569], Ginja, Catarina [0000-0003-2278-7089], Fonseca, Nuno A. [0000-0003-4970-7288]
Rok vydání: 2021
Předmět:
Zdroj: Practical Applications of Computational Biology & Bioinformatics, 15th International Conference (PACBB 2021) ISBN: 9783030862572
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Digital.CSIC. Repositorio Institucional del CSIC
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Popis: The high levels of degradation characteristic of ancient DNA molecules severely hinder the recovery of endogenous DNA fragments and the discovery of genetic variation, limiting downstream population analyses. Optimization of read mapping strategies for ancient DNA is therefore essential to maximize the information we are able to recover from archaeological specimens. In this paper we assess Burrows-Wheeler Aligner (BWA) effectiveness for mapping of ancient DNA sequence data, comparing different sets of parameters and their effect on the number of endogenous sequences mapped and variants called. We also consider different filtering options for SNP calling, which include minimum values for depth of coverage and base quality in addition to mapping quality. Considering our results, as well as those of previous studies, we conclude that BWA-MEM is a good alternative to the current standard BWA-backtrack strategy for ancient DNA studies, especially when the computational resources are limited and time is a constraint.
This work received funding from: the project PORBIOTA- Portuguese E-Infrastructure for Information and Research on Biodiversity (POCI-01-0145-FEDER-022127), supported by Operational Thematic Program for Competitiveness and Internationalization (POCI), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (FEDER); Fundação Nacional para a Ciência e a Tecnologia (FCT), Portugal, contract grant 2020.02754.CEECIND (C.G.), Norma Transitória contract grant DL 57/2016/CP1440/CT0029 (A.E.P.) and the ARCHAIC Project grant PTDC/CVTLIV/2827/2014 co-funded by COMPETE 2020 POCI-01-0145-FEDER-016647 and LISBOA-01-0145-FEDER-016647 (C.G.). This work was also supported by National Funds through FCT/MCTES under the UIDB/50027/2020 funding.
Databáze: OpenAIRE
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