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Spike-in Genomic DNA for Validating Performance of Metagenomics Workflows
Author(s) -
Arvind Venkataraman,
Mirjana Parlov,
Ping Hu,
Dan Schnell,
Xingtao Wei,
Jay P. Tiesman
Publication year - 2018
Publication title -
biotechniques
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.617
H-Index - 131
eISSN - 1940-9818
pISSN - 0736-6205
DOI - 10.2144/btn-2018-0089
Subject(s) - metagenomics , workflow , shotgun , microbiome , computational biology , shotgun sequencing , biology , dna , computer science , dna sequencing , bioinformatics , genetics , database , gene
Shotgun metagenomics is a powerful platform to characterize human microbiomes. However, to translate such survey data into consumer-relevant products or services, it is critical to have a robust metagenomics workflow. We present a tool – spike-in DNA – to assess performance of metagenomics workflows. The spike-in is DNA from two organisms – Alivibrio fischeri and Rhodopseudomonas palustris, in a ratio of 4:1 added to samples before DNA extraction. With a valid workflow, the output ratio of relative abundances of these organisms should be close to 4. This expectation was tested in samples of varying diversities (n = 110), and the mean ratio was 4.73 (99% CI [4.0, 5.24]). We anticipate this tool to be a relevant community resource for assessing the quality of shotgun metagenomics workflows and thereby enable robust characterization of microbiomes.

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