Microbiology
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH
 QUICK SEARCH:   [advanced]


     


Published online ahead of print on 21 April 2009 as doi:10.1099/mic.0.025890-0
Microbiology 2009;155:2040.

Microbiology (2009), DOI 10.1099/mic.0.025890-0
© 2009 Society for General Microbiology

This Article
Right arrow Full Text (Papers in Press[PDF])
Right arrow All Versions of this Article:
mic.0.025890-0v1
155/6/2040    most recent
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via CrossRef
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Strovas, T. J.
Right arrow Articles by Lidstrom, M. E.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Strovas, T. J.
Right arrow Articles by Lidstrom, M. E.
Agricola
Right arrow Articles by Strovas, T. J.
Right arrow Articles by Lidstrom, M. E.
Microbiology 0 (2009), mic.0.025890; DOI  10.1099/mic.0.025890-0
© 2009 Society for General Microbiology


Population heterogeneity in Methylobacterium extorquens AM1

T. J. Strovas1 and M. E. Lidstrom

University of Washington

ABSTRACT

Heterogeneity of cells within exponentially-growing populations was addressed in a bacterium, the facultative methylotroph Methylobacterium extorquens AM1. A transcriptional fusion between a well-characterized methanol-inducible promoter (PmxaF) and gfpuv was used with flow cytometry to analyze the distribution of gene expression in populations grown either on succinate or methanol, correlated with forward scatter as a measure of cell size. These cell populations were found to consist of three major subpopulations defined by cells that were actively growing and dividing, newly divided, and non-dividing. Through the use of flow cytometry, it was demonstrated that a significant percentage of the total population did not respond to carbon shift. Additionally, these experiments demonstrated that a small subset of the total population was significantly brighter than the rest of the population and dominated fluorimetry data. These results were corroborated with a continuous flow through system and laser scanning microscopy, confirming that subpopulations, not discernable in the population average, dominate population response. These results demonstrate that the combination of flow cytometry and microscopic single cell analysis can be effectively used to determine the dynamics of subpopulations in population response. In addition, they support the concept that physiological diversity in isogenic population can poise some proportion of the population to respond appropriately to changing conditions.

1 E-mail: tstrovas{at}u.washington.edu







HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH
INT J SYST EVOL MICROBIOL MICROBIOLOGY J GEN VIROL
J MED MICROBIOL ALL SGM JOURNALS
Copyright © 2009 Society for General Microbiology.