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Phylogenomics of ‘Discosea’: A New Molecular Phylogenetic Perspective on Amoebozoa with Flat Body Forms

Faculty #8
Discipline: Biological Sciences
Subcategory: STEM Research

Yonas I. Tekle - Spelman College


The majority of amoeboid lineages with flattened body forms are placed under a taxonomic hypothetical class ‘Discosea’ senus Smirnov et al. (2011), which encompasses some of the most diverse morphs within Amoebozoa. However, its taxonomy and phylogeny is poorly understood. This is partly due to lack of support in studies that are based on limited gene sampling. In this study we use a phylogenomic approach including newly-generate RNA-Seq data and comprehensive taxon sampling to resolve the phylogeny of ‘Discosea’. Our analysis included eight of the nine orders of ‘Discosea’ and up to 550 genes, the largest gene sampling in Amoebozoa to date. We conducted extensive analyses to assess the robustness of our resulting phylogenies to effects of missing data and outgroup choice using probabilistic methods. All of our analyses, which explore the impact of varying amounts of missing data, consistently recover well-resolved and supported groups of Amoebozoa. Our results neither support the monophyly nor dichotomy of ‘Discosea’ as defined by Smirnov et al. (2011). Rather, we recover a robust well-resolved clade referred to as core-Discosea encompassing the majority of discosean orders (six of the eight studied here), while the Dactylopodida, Thecamoebida and Himatismenida, previously included in ‘Discosea,’ are non-monophyletic. We also recover novel relationships within the core-Discosea that are largely congruent with morphology. Our analyses enabled us to place some incertae sedis lineages and previously unstable lineages such as Vermistella, Mayorella, Gocevia, and Stereomyxa. We recommend some phylogeny-based taxonomic amendments highlighting the new findings of this study and discuss the evolution of the group based on our current understanding.

Funder Acknowledgement(s): This work is supported by the National Science Foundation RIA Grant (1409587).

Faculty Advisor: None Listed,

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This material is based upon work supported by the National Science Foundation (NSF) under Grant No. DUE-1930047. Any opinions, findings, interpretations, conclusions or recommendations expressed in this material are those of its authors and do not represent the views of the AAAS Board of Directors, the Council of AAAS, AAAS’ membership or the National Science Foundation.

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