title: Distinct growth strategies of soil bacteria as revealed by large-scale colony tracking.
abstract: Our understanding of microbial ecology has been significantly furthered in recent years by advances in sequencing techniques, but comprehensive surveys of the phenotypic characteristics of environmental bacteria remain rare. Such phenotypic data are crucial for understanding the microbial strategies for growth and the diversity of microbial ecosystems. Here, we describe a high-throughput measurement of the growth of thousands of bacterial colonies using an array of flat-bed scanners coupled with automated image analysis. We used this system to investigate the growth properties of members of a microbial community from untreated soil. The system provides high-quality measurements of the number of CFU, colony growth rates, and appearance times, allowing us to directly study the distribution of these properties in mixed environmental samples. We find that soil bacteria display a wide range of growth strategies which can be grouped into several clusters that cannot be reduced to any of the classical dichotomous divisions of soil bacteria, e.g., into copiotophs and oligotrophs. We also find that, at early times, cells are most likely to form colonies when other, nearby colonies are present but not too dense. This maximization of culturability at intermediate plating densities suggests that the previously observed tendency for high density to lead to fewer colonies is partly offset by the induction of colony formation caused by interactions between microbes. These results suggest new types of growth classification of soil bacteria and potential effects of species interactions on colony growth.
authors.affiliation: Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
authors.forename: Morten
authors.initials: M
authors.lastname: Ernebjerg
authors.forename: Roy
authors.initials: R
authors.lastname: Kishony
mesh_terms: D001331:Automation; D001419:Bacteria / Q000254:growth & development*; D001431:Bacteriological Techniques; D015169:Colony Count, Microbial; D057166:High-Throughput Screening Assays; D007091:Image Processing, Computer-Assisted; D012988:Soil Microbiology