title: Microbial scout hypothesis and microbial discovery.
abstract: In this study, we examine the temporal pattern of colony appearance during cultivation experiments, and whether this pattern could inform on optimizing the process of microbial discovery. In a series of long-term cultivation experiments, we observed an expected gradual increase over time of the total number of microbial isolates, culminating in a 700-fold colony count increase at 18 months. Conventional thought suggests that long-term incubations result in a culture collection enriched with species that are slow growing or rare, may be unavailable from short-term experiments, and likely are novel. However, after we examined the phylogenetic novelty of the isolates as a function of the time of their isolation, we found no correlation between the two. The probability of discovering either a new or rare species late in the incubation matched that of species isolated earlier. These outcomes are especially notable because of their generality: observations were essentially identical for marine and soil bacteria as well as for spore formers and non-spore formers. These findings are consistent with the idea of the stochastic awakening of dormant cells, thus lending support to the scout model. The process of microbial discovery is central to the study of environmental microorganisms and the human microbiome. While long-term incubation does not appear to increase the probability of discovering novel species, the technology enabling such incubations, i.e., single-cell cultivation, may still be the method of choice. While it does not necessarily allow more species to grow from a given inoculum, it minimizes the overall isolation effort and supplies needed.
authors.affiliation: Department of Biology, Northeastern University, Boston, Massachusetts, USA.
authors.forename: S
authors.initials: S
authors.lastname: Buerger
authors.forename: A
authors.initials: A
authors.lastname: Spoering
authors.forename: E
authors.initials: E
authors.lastname: Gavrish
authors.forename: C
authors.initials: C
authors.lastname: Leslin
authors.forename: L
authors.initials: L
authors.lastname: Ling
authors.forename: S S
authors.initials: SS
authors.lastname: Epstein
mesh_terms: D001419:Bacteria / Q000145:classification / Q000254:growth & development* / Q000302:isolation & purification*; D001431:Bacteriological Techniques / Q000379:methods*; D044822:Biodiversity; D006801:Humans; D054892:Metagenome; D008969:Molecular Sequence Data; D017422:Sequence Analysis, DNA; D012988:Soil Microbiology; D013997:Time Factors; D014871:Water Microbiology