Arcellinida is ascending in importance in protistology, but description of their diversity still presents multiple challenges. Furthermore, applicable tools for surveillance of these organisms are still in developing stages. Importantly, a good database that sets a correspondence between molecular barcodes and species morphology is lacking. Cytochrome oxidase (COI) has been suggested as the most relevant marker for species discrimination in Arcellinida. However, some major groups of Arcellinida are still lacking a COI sequence. Here we expand the database of COI marker sequences for Arcellinids, using single-cell PCR, transcriptomics, and database scavenging. In the present work, we added 24 new Arcellinida COI sequences to the database, covering all unsampled infra- and suborders. Additionally, we added six new SSUrRNA sequences and described four new species using morphological, morphometrical, and molecular evidence: Heleopera steppica, Centropyxis blatta, Arcella uspiensis, and Cylindrifflugia periurbana. This new database will provide a new starting point to address new research questions from shell evolution, biogeography, and systematics of arcellinids.
Keywords: Arcellinida; Bioinformatics; Data mining; Next generation sequencing; Taxonomy.
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