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Toxin-antidote selfish elements in animals: from gene drive...
created · Updated
Deadline: Feb 28, 2025
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Summary

Toxin-antidote (TA) elements are a class of selfish elements that spread in natural populations by subverting the laws of Mendelian segregation (gene drive activity). For a decade, the only known TA element in animals was a paternal-acting element discovered in the nematode...

Description

Toxin-antidote (TA) elements are a class of selfish elements that spread in natural populations by subverting the laws of Mendelian segregation (gene drive activity). For a decade, the only known TA element in animals was a paternal-acting element discovered in the nematode C. elegans. The lack of other examples perpetuated the idea that TA elements were extremely rare in animals. However, I recently challenged this view with two key findings 1) I genetically dissected a second TA element in C. elegans, the element sup-35/pha-1, and 2) I identified five novel TA elements in C. tropicalis, a close relative of C. elegans. Surprisingly, some of these novel TA elements can affect the fitness of adults and can antagonize each other mimicking the effect of balancing selection. Overall, my research strongly suggests that TA elements are much more common in animals than previously anticipated and raises critical questions about their origin, prevalence, mechanism of action, and contribution to speciation, all of which are largely unknown.<br/> <br/>This proposal has three main objectives:<br/>1. To dissect the molecular mechanisms underlying an animal TA element for the first time.<br/>2. To identify and characterize novel TA elements in diverse nematode species.<br/>3. To screen for TA elements in medaka fish.<br/> <br/>My team and I will achieve these objectives by leveraging my multidisciplinary expertise in genomics, evo-devo, and biochemistry, as well as a state-of-the-art bulk QTL mapping method that I recently developed. Dissecting the molecular mechanisms used by natural selfish elements will help us design more efficient and specific synthetic drive elements that could target mosquito vectors spreading diseases such as malaria and Zika virus - global health burdens. I predict that we will discover and characterize many novel TA selfish elements in diverse species from nematodes to vertebrates. Our findings will stimulate new research areas in genetics, evolutionary biology, and medicine.

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OPPORTUNITY EUROPEAN PROJECT: Data sharing to support the training and...

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Partner Search for Horizon Europe Call HORIZON CL5- 2026-11-D3-23 on AI Driven Data Sharing for the Energy Sector A company specializing in big data management and analysis, with a growing interest in AI-based applications for monitoring and optimizing energy networks, is approaching these applications with a strong focus on benchmarking innovative solutions. The company has proprietary software and a vast amount of data; it is seeking partners to expand a Common European Energy Data Space into a solution that enables transnational data integration for training and testing as part of the system lifecycle. This solution must guarantee robust privacy and security measures to achieve a Technology Readiness Level (TRL) of 7-8, as requested in the call for proposals, while maintaining data privacy and security throughout established supply chains and during the lifecycle of the resulting application. We are also seeking other international users with large amounts of data to provide a valid basis for validating this approach.

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