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2016 Microbial and Plant Systems Modulated by Secondary Metabolites Meeting

May 2–4, 2016, Walnut Creek, CA

The DOE JGI has recently developed an integrated pipeline where biosynthetic pathways present in these genomes are computationally mined, refactored and synthesized de novo to facilitate expression in heterologous hosts. The aim of this meeting is to bring together a diverse group of investigators interested in the role of secondary metabolites in plant-microbe and microbe-microbe interactions. The meeting’s central goals include mediating an exchange of ideas and approaches for studying and manipulating the impact of secondary metabolites on environmental systems and to serve as an opportunity for the meeting participants to learn about JGI capabilities (large-scale DNA sequencing, data mining and synthesis capabilities) available to them.

Agenda

The complete meeting agenda.

Abstract Book

2016 JGI Secondary Metabolite Abstract Book.

Speakers

  • Emily Balskus, Harvard
  • Gabriele Berg, Graz University of Technology
  • Clint Chapple, Purdue University
  • Jeff Dangl, University of North Carolina, Chapel Hill
  • Lars Dietrich, Columbia University
  • Monica Höfte, Ghent University
  • Ikhlas Khan, National Center for Natural Products Research
  • Mark Lange, Washington State University
  • Joyce Loper, USDA-ARS, Oregon State University
  • Bradley Moore, Scripps Institution of Oceanography
  • Anne Osbourn, John Innes Centre, UK
  • Reuben Peters, Iowa State University
  • Jos Raaijmakers, NIOO Wageningen
  • Lloyd Sumner, University of Missouri
  • Dorothea Tholl, Virginia Tech University
  • Julia Vorholt, ETH Zurich
  • Philipp Zerbe, University of California, Davis
  • 2016 Microbial and Plant Systems Modulated by Secondary Metabolites Meeting
    • Agenda
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  • 2017 Microbial and Plant Systems Modulated by Secondary Metabolites Meeting
  • Program Meetings and Workshops
  • CSP 2012 PI Workshop
  • Bay Area Plant Microbe Interaction Symposium II
  • Microbial Genome Reannotation Workshop
  • Application of High Performance Computing to the DOE Joint Genomic Institute’s Data Challenges

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