Spatial Molecular Architecture of the Microbial Community of a Peltigera Lichen

Author:

Garg Neha1,Zeng Yi2,Edlund Anna3,Melnik Alexey V.1,Sanchez Laura M.14ORCID,Mohimani Hosein5,Gurevich Alexey6,Miao Vivian7,Schiffler Stefan8,Lim Yan Wei9,Luzzatto-Knaan Tal1,Cai Shengxin10,Rohwer Forest9,Pevzner Pavel A.5,Cichewicz Robert H.10,Alexandrov Theodore1811,Dorrestein Pieter C.1212

Affiliation:

1. Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, California, USA

2. Department of Chemistry and Biochemistry, University of California, San Diego, California, USA

3. Genomic Medicine, J. Craig Venter Institute, La Jolla, California, USA

4. Department of Medicinal Chemistry and Pharmacognosy, College of Pharmacy, University of Illinois at Chicago, Chicago, Illinois, USA

5. Department of Computer Science and Engineering, University of California San Diego, La Jolla, California, USA

6. Center for Algorithmic Biotechnology, Institute of Translational Biomedicine, St. Petersburg State University, St. Petersburg, Russia

7. Department of Microbiology and Immunology, University of British Columbia, Vancouver, Canada

8. SCiLS GmbH, Bremen, Germany

9. Department of Biology, San Diego State University, San Diego, California, USA

10. Natural Products Discovery Group, Department of Chemistry and Biochemistry, Institute for Natural Products Applications and Research Technologies, Stephenson Life Sciences Research Center, University of Oklahoma, Norman, Oklahoma, USA

11. European Molecular Biology Laboratory (EMBL), Heidelberg, Germany

12. Center for Computational Mass Spectrometry and Department of Computer Science and Engineering, University of California San Diego, La Jolla, California, USA

Abstract

Microbial communities have evolved over centuries to live symbiotically. The direct visualization of such communities at the chemical and functional level presents a challenge. Overcoming this challenge may allow one to visualize the spatial distributions of specific molecules involved in symbiosis and to define their functional roles in shaping the community structure. In this study, we examined the diversity of microbial genes and taxa and the presence of biosynthetic gene clusters by metagenomic sequencing and the compartmentalization of organic chemical components within a lichen using mass spectrometry. This approach allowed the identification of chemically distinct sections within this composite organism. Using our multipronged approach, various fungal natural products, not previously reported from lichens, were identified and two different fungal layers were visualized at the chemical level.

Funder

Binational Agriculture Research and Development Fund

St. Petersburg State University, Russia

Europeon Union Seventh Framework Program

National Institute of Health IRACDA

EC | Horizon 2020

the U.S. National Institutes of Health

Publisher

American Society for Microbiology

Subject

Computer Science Applications,Genetics,Molecular Biology,Modeling and Simulation,Ecology, Evolution, Behavior and Systematics,Biochemistry,Physiology,Microbiology

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