bioRxiv preprint doi: https://doi.org/10.1101/2020.06.30.179929; this version posted June 28, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 Comparative whole-genome approach to identify bacterial 2 traits for microbial interactions 3 4 Luca Zoccarato*a, Daniel Sher*b, Takeshi Mikic, Daniel Segrèd,e, Hans-Peter Grossart*a,f,g 5 6 (a) Department Experimental Limnology, Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), 7 16775 Stechlin, Germany 8 (b) Department of Marine Biology, Leon H. Charney School of Marine Sciences, University of Haifa, 3498838 9 Haifa, Israel 10 (c) Department of Environmental Solution Technology, Ryukoku University, 612-8577 Kyoto, Japan 11 (d) Departments of Biology, Biomedical Engineering, Physics, Boston University, 02215 Boston, MA 12 (e) Bioinformatics Program & Biological Design Center, Boston University, 02215 Boston, MA 13 (f) Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), 14195 Berlin, Germany 14 (g) Institute of Biochemistry and Biology, Potsdam University, 14476 Potsdam, Germany 15 16 Corresponding authors(*) 17 Luca Zoccarato,
[email protected]; Daniel Sher,
[email protected]; Hans-Peter Grossart, hgross- 18
[email protected] 19 20 21 Abstract 22 Microbial interactions shape the structure and function of microbial communities with profound 23 consequences for biogeochemical cycles and ecosystem health. Yet, most interaction mechanisms 24 are studied only in model systems and their prevalence is unknown.