专家人才库数据----中国科学院上海巴斯德研究所

Associate professor2016

Name:	Sarah Svensson	Gender:
Education:	2005-2012, PhD, Department of Microbiology and Immunology, University of British Columbia, Vancouver, Canada 1999-2004, BSc, Department of Biochemistry and Microbiology, University of Victoria, Victoria, Canada
Academic degree:	Ph.D.	Academic title:	Associate Professor
Departments:	Statistical Genetics of Bacteria	Discipline:	Microbiology
Phone:	021-54923147	E-mail:	sarah.svensson@ips.ac.cn
Mailing Address:	Room 402, Life Science Research Building, 320 Yueyang Road, Xuhui District, 200031

Curriculum vitae:
2022-present, Associate Professor, Institut Pasteur of Shanghai, CAS 2013-2021, Post-doctoral Fellow, Institute of Molecular Infection Biology, University of Würzburg, Germany 2012-2013, Postdoctoral Fellow, Department of Microbiology and Immunology, University of British Columbia, Vancouver, Canada

Research direction:
The evolving SARS CoV-2 pandemic reminds us that we must understand how microbes adapt to new environments. In bacteria, the acquisition of canonical virulence factors often does not fully explain the emergence of prevalent strains. My work aims to use information present in the genomes of natural bacterial populations, as well as a wide range of post-genomic methods (eg. RNA-seq, Ribo-seq, Tn-seq) to understand how genotype affects fitness or virulence. As models, I study three major gastrointestinal pathogens in China and worldwide: Vibrio parahaemolyticus, Helicobacter pylori, and Campylobacter jejuni. 　　Evidence suggests that rewiring of gene expression networks is as important in the evolution of new pathogenic strains as the acquisition of new genes. A second focus of my research is how regulatory networks, especially those involving small non-coding RNAs (sRNAs) evolve to elicit novel phenotypes. Finally, new sequencing-based methodologies such as ribosome profiling are revealing that bacterial genomes harbour small ORFs (sORFs, <50 codons) encoding small proteins that have key functions in the cell. I am to identify and functionally characterize new small proteins that play roles in key phenotypes such as motility and virulence. 　　By understanding how bacterial genomes evolve to generate new phenotypes, we can understand how bacterial pathogens sense and adapt to their environment and new niches, including for emerging pathogens. This will help us determine the molecular characteristics of pathogenic bacteria to design countermeasures, such as infection control or antimicrobials.

Research direction:

The evolving SARS CoV-2 pandemic reminds us that we must understand how microbes adapt to new environments. In bacteria, the acquisition of canonical virulence factors often does not fully explain the emergence of prevalent strains. My work aims to use information present in the genomes of natural bacterial populations, as well as a wide range of post-genomic methods (eg. RNA-seq, Ribo-seq, Tn-seq) to understand how genotype affects fitness or virulence. As models, I study three major gastrointestinal pathogens in China and worldwide: Vibrio parahaemolyticus, Helicobacter pylori, and Campylobacter jejuni.

　　Evidence suggests that rewiring of gene expression networks is as important in the evolution of new pathogenic strains as the acquisition of new genes. A second focus of my research is how regulatory networks, especially those involving small non-coding RNAs (sRNAs) evolve to elicit novel phenotypes.

Finally, new sequencing-based methodologies such as ribosome profiling are revealing that bacterial genomes harbour small ORFs (sORFs, <50 codons) encoding small proteins that have key functions in the cell. I am to identify and functionally characterize new small proteins that play roles in key phenotypes such as motility and virulence.

　　By understanding how bacterial genomes evolve to generate new phenotypes, we can understand how bacterial pathogens sense and adapt to their environment and new niches, including for emerging pathogens. This will help us determine the molecular characteristics of pathogenic bacteria to design countermeasures, such as infection control or antimicrobials.

Research progress:
Selected publications 1) Svensson SL & Y Chao. 2022.RNase III-CLASH brings bacterial RNA networks into focus.Trends in Microbiology. 30:1125-1127. 2) Svensson SL & CM Sharma. 2022. Small RNAs that target G-rich sequences are generated by diverse biogenesis pathways in Epsilonproteobacteria. Molecular Microbiology. 117:215-233. 3) Svensson SL & CM Sharma. 2021. RNase III-mediated processing of a trans-acting bacterial sRNA and its cis-encoded antagonist. ELife. 10:e69064. 4) Venturini E, SL Svensson, S Maa？, R Gelhausen, F Eggenhofer, L Li, AK Cain, J Parkhill, D Becher, R Backofen, L Barquist, CM Sharma, AJ Westermann, J Vogel. 2020. A global data-driven census of Salmonella small proteins and their potential functions in bacterial virulence. microLife. 1:uqaa002. 5) Gelhausen R, SL Svensson, K Froschauer, F Heyl, L Hadjeras, CM Sharma, F Eggenhofer, R Backofen. HRIBO: high-throughput analysis of bacterial ribosome profiling data. Bioinformatics. 37:2061-2063.

Research progress:

Selected publications

1) Svensson SL & Y Chao. 2022.RNase III-CLASH brings bacterial RNA networks into focus.Trends in Microbiology. 30:1125-1127.

2) Svensson SL & CM Sharma. 2022. Small RNAs that target G-rich sequences are generated by diverse biogenesis pathways in Epsilonproteobacteria. Molecular Microbiology. 117:215-233.

3) Svensson SL & CM Sharma. 2021. RNase III-mediated processing of a trans-acting bacterial sRNA and its cis-encoded antagonist. ELife. 10:e69064.

4) Venturini E, SL Svensson, S Maa？, R Gelhausen, F Eggenhofer, L Li, AK Cain, J Parkhill, D Becher, R Backofen, L Barquist, CM Sharma, AJ Westermann, J Vogel. 2020. A global data-driven census of Salmonella small proteins and their potential functions in bacterial virulence. microLife. 1:uqaa002.

5) Gelhausen R, SL Svensson, K Froschauer, F Heyl, L Hadjeras, CM Sharma, F Eggenhofer, R Backofen. HRIBO: high-throughput analysis of bacterial ribosome profiling data. Bioinformatics. 37:2061-2063.

Laboratory members: