Paving the road for prediction and control of ecosystem processes in complex microbial communities

Paving the road for prediction and control of ecosystem processes in complex microbial communities

Dr Ulisses Nunes da Rocha. Junior Group Leader for Helmholtz, Centre for Environmental Research - UFZ

Panopto Link

 

Research Topics

Our group strives to assess environmental health of terrestrials and man made environments by predicting how resilient/stable a microbial community is to specific disturbances. A special emphasis is put on the development of concepts and theories to scale microbial interactions to the real diversity found in nature.

The key research topics of the Microbial Systems Data Science group are based on genetic potential of microbial communities and integration of multi-omics analysis. Currently these topics cover:

  1. Use of (in silico) mock microbial communities to test microbial ecology theories: (i) Elucidation of factors influencing the recovery of genomes from metagenomes, (ii) Development of neutral and niche theories to study microbial interactions using multi-omics data.

  2. From microbial 'Big Data' to novel ecological concepts and theories: Use of public available 'omics' databases to elucidate long-time assumptions in microbiology.

  3. Scaling modeling of microbial interactions to the diversity found in natural ecosystems: Definition of concepts and theories to use partial genome-scale metabolic modeling as a tool to explore microbial community interactions. 

 

 The UfZ - Microbial Systems Data Science

 

Speaker
Dr Ulisses Nunes da Rocha
Hosted by
Dr Cecile Gubry-Rangin
Venue
Zoology Lecture Theatre
Contact

All are welcome to attend and no booking is required.

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