Back

Phylogenomics of free-living neobodonids reveals they are a paraphyletic group from which all other metakinetoplastids are descended

Zavadska, D.; Packer, J. A.; Simpson, A.; Richter, D. J.

2025-10-04 evolutionary biology
10.1101/2025.10.03.680260 bioRxiv
Show abstract

AO_SCPLOWBSTRACTC_SCPLOWKinetoplastea is a major taxon of microbial eukaryotes that includes the well-known trypanosomatid parasites, species of which cause sleeping sickness, Chagas disease and leishmaniases in humans, as well as various animal and plant diseases. Free-living kinetoplastids are greatly understudied compared to their parasitic relatives, but are ecologically important microbivores, and collectively comprise the great majority of kinetoplastid diversity. For two decades kinetoplastids have been divided into prokinetoplastids and metakinetoplastids, with the latter further split into four orders, the most diverse of which is Neobodonida. However, the position of the root of the metakinetoplastids and whether neobodonids are a clade has remained unclear due to a lack of multi-gene data from free-living kinetoplastids, particularly neobodonids. Here, we present transcriptomic data for seven newly or recently cultivated free-living neobodonid kinetoplastids. Phylogenomic analyses of a de novo generated data set of 469 inferred orthologs and 45 taxa robustly resolve the kinetoplastid tree, including the position of the root of metakinetoplastids. This divides metakinetoplastids such that Trypanosomatida, Eubodonida, Parabodonida, Allobodonidae (formerly neobodonid clade 1E) and neobodonid clade 1D fall on one side, while neobodonid clades 1B (Rhynchomonadidae) and 1C fall on the other. Neobodonids are thus inferred to be a paraphyletic group from which all other metakinetoplastids descend. This analysis is the most thorough examination of metakinetoplastid phylogeny thus far, and forms a new basis for tracing the evolutionary history of the entire kinetoplastid group.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.