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Bacterial growth properties at low optical densities

Novak, Maja ; Pfeiffer, Thomas ; Ackermann, Martin ; Bonhoeffer, Sebastian

In: Antonie van Leeuwenhoek, 2009, vol. 96, no. 3, p. 267-274

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    Titre
    • Bacterial growth properties at low optical densities
    Auteur
    • Novak, Maja. Institute of Integrative Biology, ETH Zurich, 8093, Zurich, Switzerland
    • Pfeiffer, Thomas. Program for Evolutionary Dynamics, Harvard University, 02138, Cambridge, MA, USA
    • Ackermann, Martin. Institute of Integrative Biology, ETH Zurich, 8093, Zurich, Switzerland
    • Bonhoeffer, Sebastian. Institute of Integrative Biology, ETH Zurich, 8093, Zurich, Switzerland
    Type de document
    • Postprint
    Langue
    • Inglese
    Publié dans
    • Antonie van Leeuwenhoek, 2009, vol. 96, no. 3, p. 267-274. Springer Netherlands
    Autre version électronique
    Identifiant OAI-PMH
    • oai:doc.rero.ch:310793
    Summary
    A method for accurate quantification of growth rate and yield of bacterial populations at low densities was developed with a modified version of a stepwise linear model for fitting growth curves based on optical density measurements, and adapted to measurements at low optical densities in 96-well microtiter plates. The method can be used for rapid and precise estimates of growth rate and yield, based on optical density measurements of large numbers of cultures of Escherichia coli. E. coli B lines were serially propagated at low glucose concentration during a long-term evolution experiment. Growth rate and yield of populations sampled from each of 12 lines that evolved for 20,000 generations under these conditions and two ancestral clones was measured. Populations were grown at three different glucose concentrations. Consistent with earlier findings, statistical analysis showed that both exponential growth rate and yield per unit of glucose differed significantly between the three glucose concentrations tested. Significant adaptation of the evolved populations to the nutrient conditions in which they evolved for 20,000 generations was observed