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The enormous population sizes and wide biogeographical distribution of many microbial eukaryotes set the expectation of high levels of intraspecific genetic variation. However, studies investigating protist populations remain scarce, mostly due to limited ‘omics data. Instead, most genetics studies of microeukaryotes have thus far relied on single loci, which can be misleading and do not easily allow for detection of recombination, a hallmark of sexual reproduction. Here, we analyze >40 genes from 72 single-cell transcriptomes from two morphospecies—Hyalosphenia papilio and Hyalosphenia elegans—of testate amoebae (Arcellinida, Amoebozoa) to assess genetic diversity in samples collected over four years from New England bogs. We confirm the existence of cryptic species based on our multilocus dataset, which provides evidence of recombination within and high levels of divergence between the cryptic species. At the same time, total levels of genetic diversity within cryptic species are low, suggesting that these abundant organisms have small effective population sizes, perhaps due to extinction and repopulation events coupled with efficient modes of dispersal. This study is one of the first to investigate population genetics in uncultivable heterotrophic protists using transcriptomics data and contributes towards understanding cryptic species of nonmodel microeukaryotes.

Testate (shell‐building) amoebae, such as the Arcellinida (Amoebozoa), are useful bioindicators for climate change. Though past work has relied on morphological analyses to characterize Arcellinida diversity, genetic analyses revealed the presence of multiple cryptic species underlying morphospecies. Here, we design and deploy Arcellinida‐specific primers for theSSU‐rDNAgene to assess the community composition on the molecular level in a pilot study of two samplings from a New England fen: (1) 36‐cm horizontal transects and vertical cores; and (2) 26‐m horizontal transects fractioned into four size classes (2–10, 10–35, 35–100, and 100–300 μm). Analyses of these data show the following: (1) a considerable genetic diversity within Arcellinida, much of which comes from morphospecies lacking sequences on GenBank; (2) communities characterized byDNA(i.e. active + quiescent) are distinct from those characterized byRNA(i.e. active, indicator of biomass); (3) active communities on the surface tend to be more similar to one another than to core communities, despite considerable heterogeneity; and (4) analyses of communities fractioned by size find some lineages (OTUs) that are abundant in disjunct size categories, suggesting the possibility of life‐history stages. Together, these data demonstrate the potential of these primers to elucidate the diversity of Arcellinida communities in diverse habitats.