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Page 4 of 5                  Shetty et al. Microbiome Res Rep 2023;2:14  https://dx.doi.org/10.20517/mrr.2022.18

               website (https://microsud.github.io/chkMocks/) and include an example of how to compare the custom
               mocks with their theoretical composition. Of note, we rely on the DECIPHER:IdTaxa function for
                                                                             [23]
               taxonomic assignments and chkMocks only supports bacteria and archaea .

               To demonstrate the application for custom mock communities, we used data from a study investigating an
               ASV profiling tool, NG-Tax  and experimental samples from a previous synthetic microbiome study .
                                       [24]
                                                                                                       [25]
                                                                           TM
               Additionally, we also provide training sets for the ZymoBIOMICS  Microbial Community Standard
               (Catalog No. D6331) which consists of 19 of the 21 microbes. The two fungi, Candida albicans and
               Saccharomyces cerevisiae, are excluded from this training set.
               CONCLUSION
               The chkMocks was developed for the comparison of experimental mock communities with their expected
               compositions. The wet-lab protocols are often standardized depending on the target ecosystem that is
               investigated. Standardization requires analysis of positive controls, which are often microbial communities
               of known composition. Furthermore, a comparison of mock communities between batches when
               processing a large number of samples can help identify any technical variability. We developed a simple-to-
               use R package to ease the process of standardization and general quality check.

               DECLARATIONS
               Authors’ contributions
               Conceptualized the work: Shetty SA, Fuentes S
               Wrote the code: Shetty SA
               Provided technical assistance: Kool J

               Availability of data and materials
               The chkMocks is implemented in the R statistical language and is released under the MIT license. The
               source code and associated example data are available at: https://github.com/microsud/chkMocks/.


               Financial support and sponsorship
               This work was supported by the Dutch Ministry of Health, Welfare and Sport, and the Strategic Program of
               the National Institute for Public Health and the Environment (RIVM).


               Conflicts of interest
               All authors declared that there are no conflicts of interest. While we use ZymoBiomics data, we, the
               developers of chkMocks, are not associated with the manufacturers and this work should not be considered
               as an endorsement for the said product.


               Ethical approval and consent to participate
               Not applicable.


               Consent for publication
               Not applicable.


               Copyright
               © The Author(s) 2023.
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