Alexander K. Tice

Integrative morphology and phylogenetics of Arcellidae (Amoebozoa:Arcellinida), with redescription of Arcella leidyana and Arcella artocrea and description of Galeripora purdoni sp. nov.

The paper integrates morphology and phylogenetics to redescribe and classify Arcellidae species, revealing hidden diversity and a new species.

Evaluating the potential role and contribution of transposable elements to the evolution of microbial multicellularity across the tree of eukaryotes

The paper examines the role of transposable elements in the evolution of multicellularity across protist lineages by analyzing TE composition, diversity, and gene regulation patterns.

Pyrumthecina Infraorder Nov.: Revisiting the morphological diversity and identifying the phylogenetic home of Argynnia within Arcellinida (Tubulinea:Amoebozoa)

This study resolves the phylogenetic placement of Argynnia by analyzing genomic data and proposes a new infraorder and family to accommodate it within Arcellinida.

CSI-SSU: Phylogenetic contamination screening of genomic datasets, demonstrated on the Protist 10,000 Genomes (P10K) database

CSI-SSU screens genomic datasets for contamination and taxonomic accuracy using phylogenetic methods, demonstrating its utility on the P10K database.

Validating the genus Pocheina (Acrasidae, Heterolobosea, Excavata) leads to the recognition of three major lineages within Acrasidae

The paper validates the genus Pocheina by showing that its SSU rRNA sequence was contaminated, leading to the recognition of three major lineages in Acrasidae.

A PhyloFisher utility for nucleotide-based phylogenomic matrix construction; nucl_matrix_constructor.py

The paper introduces nucl_matrix_constructor.py, a tool to build nucleotide-based phylogenomic matrices using curated DNA sequences from the PhyloFisher database.

An efficient single-cell transcriptomics workflow to assess protist diversity and lifestyle

This study modifies the Smart-seq2 protocol to improve single-cell transcriptomics for protists, finding that freeze-thaw cycles enhance transcript recovery.