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Gene mapping methodology powered by induced genome rearrangements

View ORCID ProfileHideyuki Yone, View ORCID ProfileHiromitsu Kono, View ORCID ProfileHayato Hirai, View ORCID ProfileKunihiro Ohta
doi: https://doi.org/10.1101/2022.05.11.491291
Hideyuki Yone
1Department of Life Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Komaba 3-8-1, Meguro-ku, Tokyo 153-8902, Japan
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Hiromitsu Kono
1Department of Life Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Komaba 3-8-1, Meguro-ku, Tokyo 153-8902, Japan
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Hayato Hirai
1Department of Life Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Komaba 3-8-1, Meguro-ku, Tokyo 153-8902, Japan
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Kunihiro Ohta
1Department of Life Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Komaba 3-8-1, Meguro-ku, Tokyo 153-8902, Japan
2Universal Biology Institute, The University of Tokyo, Hongo 7-3-1, Bunkyo-Ku, Tokyo 113-0033, Japan
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  • For correspondence: kohta-pub2@bio.c.u-tokyo.ac.jp
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Abstract

Phenotypic variation occurs through genome rearrangements and mutations in certain responsible genes; however, systematic gene identification methodologies based on genome rearrangements have not been fully established. Here, we explored the loci responsible for the given phenotype using the TAQing system and compared it with a conventional mutagenesis-based method. Two yeast strains with different genetic backgrounds and flocculation phenotypes were fused and genomic rearrangements were induced by transient DNA breaks. Then, selection pressure was applied and multiple mutants were generated, showing different flocculation abilities. We also raised mutants with altered cohesiveness due to spontaneous mutations during long-term recursive passages of haploid strains without TAQing treatment. Comparative genomic analysis of the TAQed mutants revealed three chromosomal regions harboring pivotal flocculation genes, whereas conventional mutagenesis generated a more diverse list of candidate loci after prolonged selection. The combined use of these approaches will accelerate the identification of genes involved in complex phenotypes.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted May 11, 2022.
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Gene mapping methodology powered by induced genome rearrangements
Hideyuki Yone, Hiromitsu Kono, Hayato Hirai, Kunihiro Ohta
bioRxiv 2022.05.11.491291; doi: https://doi.org/10.1101/2022.05.11.491291
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Gene mapping methodology powered by induced genome rearrangements
Hideyuki Yone, Hiromitsu Kono, Hayato Hirai, Kunihiro Ohta
bioRxiv 2022.05.11.491291; doi: https://doi.org/10.1101/2022.05.11.491291

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