Stavrou, Aimilia A.Mixão, VerónicaBoekhout, TeunGabaldón Estevan, Juan Antonio, 1973-2019-12-102019-12-102018Stavrou AA, Mixão V, Boekhout T, Gabaldón T. Misidentification of genome assemblies in public databases: The case of Naumovozyma dairenensis and proposal of a protocol to correct misidentifications. Yeast. 2018;35(6):425-9. DOI: 10.1002/yea.33030749-503Xhttp://hdl.handle.net/10230/43130Online sequence databases such as NCBI GenBank serve as a tremendously useful platform for researchers to share and reuse published data. However, submission systems lack control for errors such as organism misidentification, which once entered in the database can be propagated and mislead downstream analyses. Here we present an illustrating case of misidentification of Candida albicans from a clinical sample as Naumovozyma dairenensis based on whole-genome shotgun data. Analyses of phylogenetic markers, read mapping and single nucleotide polymorphisms served to correct the identification. We propose that the routine use of such analyses could help to detect misidentifications arising from unsupervised analyses and correct them before they enter the databases. Finally, we discuss broader implications of such misidentifications and the difficulty of correcting them once they are in the records.application/pdfeng© 2018 The Authors. Yeast published by John Wiley & Sons, Ltd. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.info:eu-repo/semantics/articlehttp://dx.doi.org/10.1002/yea.3303Candida albicansNaumovozyma dairenensisMisidentificationPublic databasesinfo:eu-repo/semantics/openAccess