Literature DB >> 28216511

Global Kinetoplastea phylogeny inferred from a large-scale multigene alignment including parasitic species for better understanding transitions from a free-living to a parasitic lifestyle.

Euki Yazaki1, Sohta A Ishikawa2, Keitaro Kume1,3, Akira Kumagai4, Takashi Kamaishi5, Goro Tanifuji6, Tetsuo Hashimoto1,7, Yuji Inagaki1,7.   

Abstract

All members of the order Trypanosomatida known to date are parasites that are most likely descendants of a free-living ancestor. Trypanosomatids are an excellent model to assess the transition from a free-living to a parasitic lifestyle, because a large amount of experimental data has been accumulated for well-studied members that are harmful to humans and livestock (Trypanosoma spp. and Leishmania spp.). However, recent advances in our understanding of the diversity of trypanosomatids and their close relatives (i.e., members of the class Kinetoplastea) have suggested that the change in lifestyle took place multiple times independently from that which gave rise to the extant trypanosomatid parasites. In the current study, transcriptomic data of two parasitic kinetoplastids belonging to orders other than Trypanosomatida, namely Azumiobodo hoyamushi (Neobodonida) and Trypanoplasma borreli (Parabodonida), were generated. We re-examined the transition from a free-living to a parasitic lifestyle in the evolution of kinetoplastids by combining (i) the relationship among the five orders in Kinetoplastea and (ii) that among free-living and parasitic species within the individual orders. The former relationship was inferred from a large-scale multigene alignment including the newly generated data from Azumiobodo and Trypanoplasma, as well as the data from another parasitic kinetoplastid, Perkinsela sp., deposited in GenBank; and the latter was inferred from a taxon-rich small subunit ribosomal DNA alignment. Finally, we discuss the potential value of parasitic kinetoplastids identified in Parabodonida and Neobodonida for studying the evolutionary process that turned a free-living species into a parasite.

Entities:  

Keywords:  Azumiobodo hoyamushi; Kinetoplastea; Trypanoplasma borreli; multigene phylogeny; parasites

Mesh:

Substances:

Year:  2017        PMID: 28216511     DOI: 10.1266/ggs.16-00056

Source DB:  PubMed          Journal:  Genes Genet Syst        ISSN: 1341-7568            Impact factor:   1.517


  7 in total

1.  Evolutionary analysis of globin domains from kinetoplastids.

Authors:  Akash Mitra; Kusumita Acharya; Arijit Bhattacharya
Journal:  Arch Microbiol       Date:  2022-07-16       Impact factor: 2.667

2.  The enigmatic RNase MRP of kinetoplastids.

Authors:  Magnus Alm Rosenblad; Marcela Dávila López; Tore Samuelsson
Journal:  RNA Biol       Date:  2021-07-25       Impact factor: 4.766

3.  Evolution of metabolic capabilities and molecular features of diplonemids, kinetoplastids, and euglenids.

Authors:  Anzhelika Butenko; Fred R Opperdoes; Olga Flegontova; Aleš Horák; Vladimír Hampl; Patrick Keeling; Ryan M R Gawryluk; Denis Tikhonenkov; Pavel Flegontov; Julius Lukeš
Journal:  BMC Biol       Date:  2020-03-02       Impact factor: 7.431

Review 4.  Separating the Wheat from the Chaff: RNA Editing and Selection of Translatable mRNA in Trypanosome Mitochondria.

Authors:  Dmitri A Maslov
Journal:  Pathogens       Date:  2019-07-18

5.  Ubiquity and Origins of Structural Maintenance of Chromosomes (SMC) Proteins in Eukaryotes.

Authors:  Mari Yoshinaga; Yuji Inagaki
Journal:  Genome Biol Evol       Date:  2021-12-01       Impact factor: 3.416

6.  Inventory and Evolution of Mitochondrion-localized Family A DNA Polymerases in Euglenozoa.

Authors:  Ryo Harada; Yoshihisa Hirakawa; Akinori Yabuki; Yuichiro Kashiyama; Moe Maruyama; Ryo Onuma; Petr Soukal; Shinya Miyagishima; Vladimír Hampl; Goro Tanifuji; Yuji Inagaki
Journal:  Pathogens       Date:  2020-04-01

7.  EukRef-excavates: seven curated SSU ribosomal RNA gene databases.

Authors:  Martin Kolisko; Olga Flegontova; Anna Karnkowska; Gordon Lax; Julia M Maritz; Tomáš Pánek; Petr Táborský; Jane M Carlton; Ivan Čepička; Aleš Horák; Julius Lukeš; Alastair G B Simpson; Vera Tai
Journal:  Database (Oxford)       Date:  2020-11-20       Impact factor: 3.451

  7 in total

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