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Genetic Dissection of Mutual Interference between Two Consecutively Learned Tasks in Drosophila

Jianjian Zhao, Xuchen Zhang, Bohan Zhao, Liyuan Wang, Wantong Hu, View ORCID ProfileYi Zhong, View ORCID ProfileQian Li
doi: https://doi.org/10.1101/2022.10.18.512721
Jianjian Zhao
1School of Life Sciences, IDG/McGovern Institute for Brain Research, MOE Key Laboratory of Protein Sciences, Tsinghua University, Beijing 100084, China
2Tsinghua-Peking Center for Life Sciences, Beijing 100084, China
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Xuchen Zhang
1School of Life Sciences, IDG/McGovern Institute for Brain Research, MOE Key Laboratory of Protein Sciences, Tsinghua University, Beijing 100084, China
2Tsinghua-Peking Center for Life Sciences, Beijing 100084, China
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Bohan Zhao
1School of Life Sciences, IDG/McGovern Institute for Brain Research, MOE Key Laboratory of Protein Sciences, Tsinghua University, Beijing 100084, China
2Tsinghua-Peking Center for Life Sciences, Beijing 100084, China
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Liyuan Wang
1School of Life Sciences, IDG/McGovern Institute for Brain Research, MOE Key Laboratory of Protein Sciences, Tsinghua University, Beijing 100084, China
2Tsinghua-Peking Center for Life Sciences, Beijing 100084, China
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Wantong Hu
1School of Life Sciences, IDG/McGovern Institute for Brain Research, MOE Key Laboratory of Protein Sciences, Tsinghua University, Beijing 100084, China
2Tsinghua-Peking Center for Life Sciences, Beijing 100084, China
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Yi Zhong
1School of Life Sciences, IDG/McGovern Institute for Brain Research, MOE Key Laboratory of Protein Sciences, Tsinghua University, Beijing 100084, China
2Tsinghua-Peking Center for Life Sciences, Beijing 100084, China
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  • ORCID record for Yi Zhong
Qian Li
1School of Life Sciences, IDG/McGovern Institute for Brain Research, MOE Key Laboratory of Protein Sciences, Tsinghua University, Beijing 100084, China
2Tsinghua-Peking Center for Life Sciences, Beijing 100084, China
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  • ORCID record for Qian Li
  • For correspondence: liqian8@tsinghua.edu.cn
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Abstract

Animals can continuously learn different tasks to adapt to changing environments and therefore have strategies to effectively cope with inter-task interference, including both proactive interference (Pro-I) and retroactive interference (Retro-I). Many biological mechanisms are known to contribute to learning, memory, and forgetting for a single task, however, mechanisms involved only when learning sequential different tasks are relatively poorly understood. Here, we dissect the respective molecular mechanisms of Pro-I and Retro-I between two consecutive associative learning tasks in Drosophila. Pro-I is more sensitive to inter-task interval (ITI) than Retro-I. They occur together at short ITI (<20 min), while only Retro-I remains significant at ITI beyond 20 min. Acutely overexpressing Corkscrew (CSW), an evolutionarily conserved protein tyrosine phosphatase SHP2, in mushroom body (MB) neurons reduces Pro-I, whereas acute knockdown of CSW exacerbates Pro-I. Such function of CSW is further found to rely on the γ subset of MB neurons and the downstream Raf/MAPK pathway. In contrast, manipulating CSW does not affect Retro-I as well as a single learning task. Interestingly, manipulation of Rac1, a molecule that regulates Retro-I, does not affect Pro-I. Thus, our findings suggest that learning different tasks consecutively triggers distinct molecular mechanisms to tune proactive and retroactive interference.

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 4.0 International license.
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Posted October 18, 2022.
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Genetic Dissection of Mutual Interference between Two Consecutively Learned Tasks in Drosophila
Jianjian Zhao, Xuchen Zhang, Bohan Zhao, Liyuan Wang, Wantong Hu, Yi Zhong, Qian Li
bioRxiv 2022.10.18.512721; doi: https://doi.org/10.1101/2022.10.18.512721
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Genetic Dissection of Mutual Interference between Two Consecutively Learned Tasks in Drosophila
Jianjian Zhao, Xuchen Zhang, Bohan Zhao, Liyuan Wang, Wantong Hu, Yi Zhong, Qian Li
bioRxiv 2022.10.18.512721; doi: https://doi.org/10.1101/2022.10.18.512721

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