title: Biophysical model of prokaryotic diversity in geothermal hot springs.
abstract: Recent studies of photosynthetic bacteria living in geothermal hot spring environments have revealed surprisingly complex ecosystems with an unexpected level of genetic diversity. One case of particular interest involves the distribution along hot spring thermal gradients of genetically distinct bacterial strains that differ in their preferred temperatures for reproduction and photosynthesis. In such systems, a single variable, temperature, defines the relevant environmental variation. In spite of this, each region along the thermal gradient exhibits multiple strains of photosynthetic bacteria adapted to several distinct thermal optima, rather than a single thermal strain adapted to the local environmental temperature. Here we analyze microbiology data from several ecological studies to show that the thermal distribution data exhibit several universal features independent of location and specific bacterial strain. These include the distribution of optimal temperatures of different thermal strains and the functional dependence of the net population density on temperature. We present a simple population dynamics model of these systems that is highly constrained by biophysical data and by physical features of the environment. This model can explain in detail the observed thermal population distributions, as well as certain features of population dynamics observed in laboratory studies of the same organisms.
authors.affiliation: Physics Department, Haverford College, Haverford, Pennsylvania 19041, USA.
authors.forename: Anna
authors.initials: A
authors.lastname: Klales
authors.forename: James
authors.initials: J
authors.lastname: Duncan
authors.forename: Elizabeth Janus
authors.initials: EJ
authors.lastname: Nett
authors.forename: Suzanne Amador
authors.initials: SA
authors.lastname: Kane
mesh_terms: D018407:Bacterial Physiological Phenomena; D044822:Biodiversity; D003198:Computer Simulation; D045482:Hot Springs / Q000382:microbiology*; D008954:Models, Biological