直播 | 致知讲堂第52期 巴黎综合理工学院Olivier Tenaillon教授精彩开讲

致知讲堂

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“致知讲堂”系中国科学院深圳先进技术研究院下属深圳合成生物学创新研究院秉持“造物致知、造物致用”的理念打造的开放性学术会议，以开放共享的形式共促领域内交流合作。讲堂定期特邀合成生物学及相关领域海内外知名学者专家进行学术报告，聚焦发展前沿，探讨学术热点，致力于打造合成生物学开放型学术交流平台，为合成生物学发展助力。

本期讲座

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Olivier Tenaillon 教授

(Institut Cochin, Inserm, CNRS,

Université Paris Cité)

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“The construction of fitness in molecular systems : from deep mutational scans to fitness landscapes and mutation effect inferences”主题的演讲

讲座安排

主讲人:Olivier Tenaillon 教授

主持人:易啸 研究员

时 间:2026年1月20日 10:00-11:45

地 点:光明生命科学园 A202 会议室

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Abstract

With the advent of molecular genetic methods, it has become possible to systematically investigate how thousands of mutations affect well-defined molecular systems, such as protein domains, full-length proteins, or promoters within metabolic pathways. This approach allows us to link molecular function to organismal fitness and to develop a mechanistic understanding of adaptive landscapes.

Prof.Olivier Tenaillon will present how they have applied this framework to three systems: a domain of RNA polymerase, the antibiotic-degrading β-lactamase TEM-1, and promoters of the arabinose utilization pathway. He will also discuss how mutational effects measured under controlled laboratory conditions relate to long-term evolutionary constraints, as inferred from analyses of distant protein homologues and from patterns of polymorphism and divergence derived from tens of thousands of Escherichia coli genomes.

Olivier Tenaillon

主讲人简介

Olivier Tenaillon is a French evolutionary microbiologist and research director at Institut Cochin (Université Paris Cité), affiliated with Inserm and CNRS, where he leads work in quantitative evolutionary, ecological, and mechanistic microbiology. He also holds a professorial position at École Polytechnique in France.

His research centres on the molecular and evolutionary dynamics of microbial populations, with a particular emphasis on understanding how mutation, natural selection, and epistatic interactions shape genetic and phenotypic diversity. He combines experimental evolution, high-throughput sequencing, deep mutational scanning, and computational analysis to dissect genotype–phenotype relationships and adaptive landscapes in model systems such as Escherichia coli.

Tenaillon’s work spans fundamental questions in evolutionary biology and genetics—such as the distribution and fitness effects of mutations, the evolution of mutation rates, and the context-dependence of mutational effects—as well as applied issues like antibiotic resistance and microbial ecology. His laboratory harnesses advances in molecular genetics and quantitative phenotyping to move beyond descriptive accounts of evolution toward predictive, mechanistic models.

He has authored or co-authored numerous highly cited publications exploring long-term bacterial evolution, polymorphism across tens of thousands of genomes, and the molecular determinants of adaptation.

Beyond research, Tenaillon contributes to the scientific community through doctoral supervision, thesis examination, and scholarly leadership in evolutionary genetics.

Co-organized by

定量合成生物学全国重点实验室

State Key Laboratory of Quantitative Synthetic Biology

中国科学院深圳先进技术研究院合成生物学研究所

Institute of Synthetic Biology, SIAT, CAS

深圳理工大学合成生物学院

Faculty of Synthetic Biology,SUAT

深圳合成生物学创新研究院

Shenzhen Institute of Synthetic Biology