Exploring Listeria monocytogenes Transcriptomes in Correlation with Divergence of Lineages and Virulence as Measured in Galleria mellonella

Author:

Lee Bo-Hyung12,Garmyn Dominique3,Gal Laurent3,Guérin Cyprien4,Guillier Laurent5,Rico Alain6,Rotter Björn2,Nicolas Pierre4,Piveteau Pascal3

Affiliation:

1. École Doctorale des Sciences de la Vie, Université Clermont Auvergne, Santé, Agronomie, Environnement, Clermont-Ferrand, France

2. GenXPro GmbH, Frankfurt am Main, Germany

3. Agroécologie, AgroSup Dijon, Institut National de la Recherche Agronomique (INRA), Université Bourgogne Franche-Comté, Dijon, France

4. Mathématiques et Informatique Appliquées du Génome à l’Environnement, INRA, Université Paris-Saclay, Jouy-en-Josas, France

5. French Agency for Food, Environmental and Occupational Health & Safety (Anses), Laboratory for Food Safety, Maisons-Alfort, France

6. Thermo Fisher Scientific, Villebon-sur-Yvette, France

Abstract

Listeria monocytogenes is a multifaceted bacterium able to proliferate in a wide range of environments from soil to mammalian host cells. The accumulated genomic data underscore the contribution of intraspecies variations in gene repertoire to differential adaptation strategies between strains, including infection and stress resistance. It seems very likely that the fine-tuning of the transcriptional regulatory network is also a key component of the phenotypic diversity, albeit more difficult to investigate than genome content. Some studies reported incongruity in the basal transcriptome between isolates, suggesting a putative relationship with phenotypes, but small isolate numbers hampered proper correlation analyses with respect to their characteristics. The present study is the embodiment of the promising approach that consists of analyzing correlations between transcriptomes and various isolate characteristics. Statistically significant correlations were found with phylogenetic groups, epidemiological evidence of virulence potential, and virulence in Galleria mellonella larvae used as an in vivo model.

Funder

EC | Horizon 2020 Framework Programme

Publisher

American Society for Microbiology

Subject

Ecology,Applied Microbiology and Biotechnology,Food Science,Biotechnology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3