Mots-Clés

biogeography bioinformatics viral metagenomics large-scale approaches

Description

Job Title: 2 years Postdoctoral fellowship to explore the virome biogeography at global scale

Context:

University of Lyon 1, in collaboration with 11 partners, is coordinating the SHAPE-Med@Lyon project (www.shape-med-lyon.fr). The
Virome@tlas project - was recently granted a prize by the SHAPEMed@Lyon consortium as part of the call for structuring projects 2023 -
develops a digital platform dedicated to virosphere monitoring. This collaborative project is led by the PRABI-AMSB platform (UCBL1,
FR BioEEnvis - http://amsb.prabi.fr), the Environnement Ville et Société laboratory (Lyon2 - https://umr5600.cnrs.fr), the Centre International
de Recherche en Infectiologie (HCL, GENEPII platform - https://teamhcl.chu-lyon.fr/genepii) and the Infections Virales et Pathologies Comparées
laboratory (INRAE - https://ipvc.lyon-grenoble.hub.inrae.fr) in partnership with the Biométrie et Biologie Evolutive laboratory and the
Institut Français de Bioinformatique (NNCR cloud). The Virome@tlas project is recruiting a postdoctoral fellow to work on the
biogeographical exploration and monitoring of the virosphere at global scales. This work will be carried out within an interdisciplinary
“One Health” framework involving scientists with strong expertise in the fields of bioinformatics, metagenomics, molecular evolution,
virology, geography, hydrology and geomatics.

Main missions:

The primary mission of the postdoctoral fellow is to build a comprehensive framework for exploring the interactions between viruses,
hosts, and the environment at a global scale. This analysis will be inferred from the large amount of data deposited in the Peta-bytes
archives and will be used as a framework to improve our understanding of the viral transmission between human, animal and their
diffusion in the environment. This open platform will be valuable for the scientific community to easily identify host organisms (animal,
human) or environmental biosamples (freshwater, soil, wastewater) harboring new virome signatures. This comprehensive and up-
scaled systems-level approach will improve our preparedness and surveillance systems to help prevent the potential next epidemic by
identifying global biogeographical rules and patterns involved in the virosphere evolution and adaptation, particularly in the context
of global environmental change and climate warming.

Main activities:

Most viruses responsible for human infectious diseases appear to be zoonotic (Wolfe et al., 2007; Woolhouse et al., 2012). The main
activity of the recruited Post Doctoral fellow will be to explore at larges scales (e.g. biomes, ecosystem, watershed, virus/host taxonomy
…) the complex molecular, ecological and biogeographical factors responsible for future zoonotic spillover (Olival et al., 2017) - i.e. the
transmission of animal viruses to human individuals - or their spillback - i.e. the transmission of human viruses to animals or in the environment.
It strongly relies on the building of a comprehensive catalogue, or atlas of virus/host associations, occurring in human and
animal populations, as well as an in-depth annotation of their geospatial and temporal distribution. To do so, the candidate will benefit
from the technical support and expertise of two highly qualified research engineers in bioinformatics and geomatics with the aim of
integrating and annotating the quality of biogeographic and sequencing data and metadata stored within the virome@tlas datalake. A
large fraction of the virus’s host range spectrum remains understudied, thus neglecting an integrated and interconnected vision of global
health. As a result, only a limited number of virus/host associations are described in public databases, and the majority of them are biased
toward human viruses and or viruses causing diseases. In addition, the influence of biophysical environment and their contemporary
changes (e.g., deforestation, urbanization, increasing aridity) on these virus-host associations remains unknown. To tackle this problem,
the postdoctoral fellow will develop new computational methods using network theory and/or state of the art data science approaches
(text mining, machine learning, AI) to comprehensively highlight yet undiscovered virus/host/environment relationships and annotate
potentially putative new spillover/spillback events from the mining of millions of SRA biosamples and their associated billion of SRA-
STAT taxonomic assignments already stored in our Virome@tlas data-lake. The candidates will also promote the development of new
use cases in collaboration with the Virome@tlas consortium, ShapeMed@Lyon and the FR BioEEnviS partners to promote One Health
and global-scale approaches.

The complete job proposal is available on the ShapeMed@Lyon website :

https://tinyurl.com/mrzjd3fn

or through Linkedin :

https://tinyurl.com/u3kjtrr5