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Screening ancient tuberculosis with qPCR: challenges and opportunities
Author(s) -
Kelly M. Harkins,
Jane E. Buikstra,
Tessa J. Campbell,
Kirsten I. Bos,
Eric Johnson,
Johannes Krause,
Anne C. Stone
Publication year - 2014
Publication title -
philosophical transactions of the royal society b biological sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.753
H-Index - 272
eISSN - 1471-2970
pISSN - 0962-8436
DOI - 10.1098/rstb.2013.0622
Subject(s) - ancient dna , tuberculosis , mycobacterium tuberculosis complex , mycobacterium tuberculosis , biology , computational biology , primer (cosmetics) , dna sequencing , polymerase chain reaction , dna , genetics , gene , medicine , population , pathology , chemistry , environmental health , organic chemistry
The field of ancient DNA (aDNA) has rapidly accelerated in recent years as a result of new methods in next-generation sequencing, library preparation and targeted enrichment. Such research is restricted, however, by the highly variable DNA preservation within different tissues, especially when isolating ancient pathogens from human remains. Identifying positive candidate samples via quantitative PCR (qPCR) for downstream procedures can reduce reagent costs, increase capture efficiency and maximize the number of sequencing reads of the target. This study uses four qPCR assays designed to target regions within the Mycobacterium tuberculosis complex (MTBC) to examine 133 human skeletal samples from a wide geographical and temporal range, identified by the presence of skeletal lesions typical of chronic disseminated tuberculosis. Given the inherent challenges working with ancient mycobacteria, strict criteria must be used and primer/probe design continually re-evaluated as new data from bacteria become available. Seven samples tested positive for multiple MTBC loci, supporting them as strong candidates for downstream analyses. Using strict and conservative criteria, qPCR remains a fast and effective screening tool when compared with screening by more expensive sequencing and enrichment technologies.

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