English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Poster

The evolution of Arabidopsis thaliana-associated Pseudomonas

MPS-Authors
/persons/resource/persons271598

Ashkenazy,  H       
Department Molecular Biology, Max Planck Institute for Developmental Biology, Max Planck Society;

/persons/resource/persons271586

Karasov,  T       
Department Molecular Biology, Max Planck Institute for Developmental Biology, Max Planck Society;

/persons/resource/persons271580

Shalev,  O       
Department Molecular Biology, Max Planck Institute for Developmental Biology, Max Planck Society;

/persons/resource/persons271702

Neumann,  M       
Department Molecular Biology, Max Planck Institute for Developmental Biology, Max Planck Society;

/persons/resource/persons85266

Weigel,  D       
Department Molecular Biology, Max Planck Institute for Developmental Biology, Max Planck Society;

Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Ashkenazy, H., Karasov, T., Shalev, O., Neumann, M., & Weigel, D. (2019). The evolution of Arabidopsis thaliana-associated Pseudomonas. Poster presented at Society for Molecular Biology and Evolution Conference 2019 (SMBE 2019), Manchester, UK.


Cite as: https://hdl.handle.net/21.11116/0000-000D-B571-7
Abstract
Members of the Pseudomonas genus of gram-negative bacteria are often highly abundant in metagenomic samples collected from plants. To better understand the process of Pseudomonas colonization, we study the evolution of a local collection of plant-associated Pseudomonas strains via comparative genomics. Specifically, we analyzed 1,524 genomes of Arabidopsis thaliana-associated Pseudomonas isolates, collected across several years and sites near Tübingen, Germany. We inferred the pan-genome for all isolates based on their orthologous groups. Out of the 72,397 orthologous groups specified, only 1.3% belonged to the bacterial ‘core genome’, while 36.3% were unique to individual isolates. Analyzing the dynamics of gain-and-loss events within and between orthologous groups with an evolutionary framework allowed us to infer a co-evolutionary network composed of orthology groups gained-and-loss together. Overall, 9.81% of the orthologous groups co-evolve with at least one partner. Further dividing this co-evolutionary network into 1,014 highly connected modules, we identified modules that are associated with specific cellular functions. By comparing closely-related isolates we also discovered genomic islands and further characterized their evolutionary dynamics. Finally, by focusing on a subgroup of phylogenetically close isolates differing in their pathogenicity levels, we could associate specific orthologous groups and co-evolving modules with strain pathogenicity.