Phylogenomic analyses of hundreds of protein-coding genes aimed at resolving phylogenetic relationships is now a common practice. However, no software currently exists that includes tools for dataset construction and subsequent analysis with diverse validation strategies to assess robustness. Furthermore, there are no publicly available high-quality curated databases designed to assess deep (>100 million years) relationships in the tree of eukaryotes. To address these issues, we developed an easy-to-use software package, PhyloFisher (https://github.com/TheBrownLab/PhyloFisher), written in Python 3. PhyloFisher includes a manually curated database of 240 protein-coding genes from 304 eukaryotic taxa covering known eukaryotic diversity, a novel tool for ortholog selection, and utilities that will perform diverse analyses required by state-of-the-art phylogenomic investigations. Through phylogenetic reconstructions of the tree of eukaryotes and of the Saccharomycetaceae clade of budding yeasts, we demonstrate the utility of the PhyloFisher workflow and the provided starting database to address phylogenetic questions across a large range of evolutionary time points for diverse groups of organisms. We also demonstrate that undetected paralogy can remain in phylogenomic “single-copy orthogroup” datasets constructed using widely accepted methods such as all vs. all BLAST searches followed by Markov Cluster Algorithm (MCL) clustering and application of automated tree pruning algorithms. Finally, we show how the PhyloFisher workflow helps detect inadvertent paralog inclusions, allowing the user to make more informed decisions regarding orthology assignments, leading to a more accurate final dataset.

The discovery that the protist Monocercomonoides exilis completely lacks mitochondria demonstrates that these organelles are not absolutely essential to eukaryotic cells. However, the degree to which the metabolism and cellular systems of this organism have adapted to the loss of mitochondria is unknown. Here, we report an extensive analysis of the M. exilis genome to address this question. Unexpectedly, we find that M. exilis genome structure and content is similar in complexity to other eukaryotes and less “reduced” than genomes of some other protists from the Metamonada group to which it belongs. Furthermore, the predicted cytoskeletal systems, the organization of endomembrane systems, and biosynthetic pathways also display canonical eukaryotic complexity. The only apparent preadaptation that permitted the loss of mitochondria was the acquisition of the SUF system for Fe–S cluster assembly and the loss of glycine cleavage system. Changes in other systems, including in amino acid metabolism and oxidative stress response, were coincident with the loss of mitochondria but are likely adaptations to the microaerophilic and endobiotic niche rather than the mitochondrial loss per se. Apart from the lack of mitochondria and peroxisomes, we show that M. exilis is a fully elaborated eukaryotic cell that is a promising model system in which eukaryotic cell biology can be investigated in the absence of mitochondria.

Highlights d Discovery and cultivation of two new classes of marine ciliates thriving in anoxia d Phylogenomics reveals a major clade of obligate anaerobes in ciliates d Novel insights into evolution of mitochondrial metabolism in anaerobic eukaryotes d Transitions to obligate anaerobiosis might be facilitated by prokaryotic symbionts

Background Trypanosomatids of the genus Leishmania are parasites of mammals or reptiles transmitted by bloodsucking dipterans. Many species of these flagellates cause important human diseases with clinical symptoms ranging from skin sores to life-threatening damage of visceral organs. The genus Leishmania contains four subgenera: Leishmania, Sauroleishmania, Viannia, and Mundinia. The last subgenus has been established recently and remains understudied, although Mundinia contains human-infecting species. In addition, it is interesting from the evolutionary viewpoint, representing the earliest branch within the genus and possibly with a different type of vector. Here we analyzed the genomes of L. (M.) martiniquensis, L. (M.) enriettii and L. (M.) macropodum to better understand the biology and evolution of these parasites. Results All three genomes analyzed were approximately of the same size (~ 30 Mb) and similar to that of L. (Sauroleishmania) tarentolae, but smaller than those of the members of subgenera Leishmania and Viannia, or the genus Endotrypanum (~ 32 Mb). This difference was explained by domination of gene losses over gains and contractions over expansions at the Mundinia node, although only a few of these genes could be identified. The analysis predicts significant changes in the Mundinia cell surface architecture, with the most important ones relating to losses of LPG-modifying side chain galactosyltransferases and arabinosyltransferases, as well as β-amastins. Among other important changes were gene family contractions for the oxygen-sensing adenylate cyclases and FYVE zinc finger-containing proteins. Conclusions We suggest that adaptation of Mundinia to different vectors and hosts has led to alternative host-parasite relationships and, thereby, made some proteins redundant. Thus, the evolution of genomes in the genus Leishmania and, in particular, in the subgenus Mundinia was mainly shaped by host (or vector) switches.

PURPOSE Primary plasma cell leukemia (PCL) is the most aggressive monoclonal gammopathy. It was formerly characterized by ≥ 20% circulating plasma cells (CTCs) until 2021, when this threshold was decreased to ≥ 5%. We hypothesized that primary PCL is not a separate clinical entity, but rather that it represents ultra-high-risk multiple myeloma (MM) characterized by elevated CTC levels. METHODS We assessed the levels of CTCs by multiparameter flow cytometry in 395 patients with newly diagnosed transplant-ineligible MM to establish a cutoff for CTCs that identifies the patients with ultra-high-risk PCL-like MM. We tested the cutoff on 185 transplant-eligible patients with MM and further validated on an independent cohort of 280 transplant-ineligible patients treated in the GEM-CLARIDEX trial. The largest published real-world cohort of patients with primary PCL was used for comparison of survival. Finally, we challenged the current 5% threshold for primary PCL diagnosis. RESULTS Newly diagnosed transplant-ineligible patients with MM with 2%-20% CTCs had significantly shorter progression-free survival (3.1 v 15.6 months; P < .001) and overall survival (14.6 v 33.6 months; P = .023) than patients with < 2%. The 2% cutoff proved to be applicable also in transplant-eligible patients with MM and was successfully validated on an independent cohort of patients from the GEM-CLARIDEX trial. Most importantly, patients with 2%-20% CTCs had comparable dismal outcomes with primary PCL. Moreover, after revealing a low mean difference between flow cytometric and morphologic evaluation of CTCs, we showed that patients with 2%-5% CTCs have similar outcomes as those with 5%-20% CTCs. CONCLUSION Our study uncovers that ≥ 2% CTCs is a biomarker of hidden primary PCL and supports the assessment of CTCs by flow cytometry during the diagnostic workup of MM.