Literature DB >> 6725164

A note on 'plotless' methods for estimating bacterial cell densities.

D Roser, D B Nedwell, A Gordon.   

Abstract

' Plotless ' techniques for determining population densities have been developed for, and applied to, higher plant populations. They can often be carried out more rapidly than techniques involving total counts of individuals in plots, or quadrants, but such plotless techniques have not been generally applied to the estimation of densities of bacterial cells. Direct microscopical counting of cell numbers in a field of view, an example of a plot-related method, has been traditionally used for microbial cell counts. In this study 'plot' and ' plotless ' methods on a variety of bacterial samples are compared. Estimates of bacterial cell density were obtained by measuring the distance of cells from a fixed point in a field of view. The values, which were more rapidly obtained, were directly correlated with total cell counts. Although there was some apparent deviation from a perfect 1:1 relationship with total counts, as indicated by a correlation coefficient less than 1.0, there were no significant differences between the replicated counts of bacteria on samples of tissue from the surface of Hypholoma basidiocarps (P less than 0.05). This indicated that the methods of enumeration were comparable. The distance-related estimates could readily be obtained from fields of view with cell densities varying over several orders of magnitude. It was more rapidly applied, particularly at high density, and the method was applicable not only to random cell distributions but also to the non-random distributions encountered when microbial cells aggregated into microcolonies. The method appears to be particularly well-suited for automated, digitized, direct counting procedures, as well as to estimating bacterial numbers on membrane filters and natural substrates.

Mesh:

Year:  1984        PMID: 6725164     DOI: 10.1111/j.1365-2672.1984.tb01358.x

Source DB:  PubMed          Journal:  J Appl Bacteriol        ISSN: 0021-8847


  2 in total

1.  Application of most-probable-number statistics to direct enumeration of microorganisms.

Authors:  D J Roser; H J Bavor; S A McKersie
Journal:  Appl Environ Microbiol       Date:  1987-06       Impact factor: 4.792

2.  The effect of nitrate-nitrogen supply on bacteria and bacterial-feeding fauna in the rhizosphere of different grass species.

Authors:  B S Griffiths; R Welschen; J J C M van Arendonk; H Lambers
Journal:  Oecologia       Date:  1992-08       Impact factor: 3.225

  2 in total

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