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Acknowledgements
This work was supported by JSPS/KAKENHI (No. 22657027, 23370046, 26291085,
221S0002, 16K07489, 16H06279 (PAGS), 17H03724), the Canon Foundation, the Collaborative Research Program of Institute for Chemical Research, Kyoto University (No.
2016-30, 2015-39), and the JST “Establishment of University Fellowships Towards The
Creation of Science Technology Innovation” Grant Number JPMJFS2123. Computational
time was provided by the SuperComputer System, Institute for Chemical Research, Kyoto
University. We thank Gabe Yedid, Ph.D., from Edanz (https://jp.edanz.com/englishediting-b) for editing a draft of this manuscript. We thank Drs. Adriana Lopes dos Santos
and Daniel Vaulot for valuable suggestions.
Author contributions
H.B. performed most of the bioinformatics analyses presented in this work and wrote
initial version of the manuscript. R.B.-M., H.E., and H.O. supervised the bioinformatics
part of the study. Y.N. performed genome assembly and gene prediction for Triparma
laevis f. inornata. A.K. coordinated the genome sequencing part of the study. S.S., S.Y.,
K.Y., M.I., and A.K. contributed to culture and DNA/RNA sequencing. N.S. contributed
to functional interpretation of the genomes. All authors contributed to the interpretation
of the results and the finalization of the manuscript.
Competing interests
The authors declare no competing interests.
Additional information
Supplementary information The online version contains supplementary material
available at https://doi.org/10.1038/s42003-023-05002-x.
Correspondence and requests for materials should be addressed to Akira Kuwata or
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© The Author(s) 2023
COMMUNICATIONS BIOLOGY | (2023)6:697 | https://doi.org/10.1038/s42003-023-05002-x | www.nature.com/commsbio
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