Literature DB >> 15369855

Enumeration of soil bacteria with the green fluorescent nucleic acid dye Sytox green in the presence of soil particles.

Peter Klauth1, Ralf Wilhelm, Erwin Klumpp, Lothar Poschen, Joost Groeneweg.   

Abstract

Total counts in soils are usually determined using fluorescent dyes, such as DAPI or Sybr green, due to fluorescence enhancement if they are bound to nucleic acids. Unfortunately, these commonly used dyes stain soil particles as well. Therefore, besides fluorescence enhancement, sufficient spectral differentiation is also required. We present a new procedure that overcomes the problems of visualising bacteria on surfaces in soil and avoids the separation of soil particles to a large extent. Spectral differentiation between bacteria and soil matrix is achieved by using Sytox green and a suboptimal excitation wavelength. Bacteria exhibit a bright green fluorescence, while soil particles fluoresce blue or red. Slight homogenisation and sedimentation of the sand and coarse silt that were too big for microscopic investigations were the only separation steps required. We compared the proposed Sytox green staining with Sybr green staining. The recovery of Sybr green-stained cells amounted to 38%, whereas in samples stained by Sytox green 81% of the spiked cells were counted. Sytox green can also be combined with fluorescence in situ hybridisation (FISH) using deep red dyes such as Cy5.

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Year:  2004        PMID: 15369855     DOI: 10.1016/j.mimet.2004.07.004

Source DB:  PubMed          Journal:  J Microbiol Methods        ISSN: 0167-7012            Impact factor:   2.363


  4 in total

1.  Microbial Identification, High-Resolution Microscopy and Spectrometry of the Rhizosphere in Its Native Spatial Context.

Authors:  Chaturanga D Bandara; Matthias Schmidt; Yalda Davoudpour; Hryhoriy Stryhanyuk; Hans H Richnow; Niculina Musat
Journal:  Front Plant Sci       Date:  2021-07-07       Impact factor: 5.753

2.  Microbial sulfur transformations in sediments from Subglacial Lake Whillans.

Authors:  Alicia M Purcell; Jill A Mikucki; Amanda M Achberger; Irina A Alekhina; Carlo Barbante; Brent C Christner; Dhritiman Ghosh; Alexander B Michaud; Andrew C Mitchell; John C Priscu; Reed Scherer; Mark L Skidmore; Trista J Vick-Majors
Journal:  Front Microbiol       Date:  2014-11-19       Impact factor: 5.640

3.  Soil bacterial quantification approaches coupling with relative abundances reflecting the changes of taxa.

Authors:  Zhaojing Zhang; Yuanyuan Qu; Shuzhen Li; Kai Feng; Shang Wang; Weiwei Cai; Yuting Liang; Hui Li; Meiying Xu; Huaqun Yin; Ye Deng
Journal:  Sci Rep       Date:  2017-07-06       Impact factor: 4.379

4.  Optimization of a Method To Quantify Soil Bacterial Abundance by Flow Cytometry.

Authors:  Banafshe Khalili; Claudia Weihe; Sarah Kimball; Katharina T Schmidt; Jennifer B H Martiny
Journal:  mSphere       Date:  2019-10-09       Impact factor: 4.389

  4 in total

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