Literature DB >> 11080383

"BACWAVE," a Spatial-Temporal Model for Traveling Waves of Bacterial Populations in Response to a Moving Carbon Source in Soil.

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Abstract

Previously, we discovered the phenomenon of wavelike spatial distributions of bacterial populations and total organic carbon (TOC) along wheat roots. We hypothesized that the principal mechanism underlying this phenomenon is a cycle of growth, death, autolysis, and regrowth of bacteria in response to a moving substrate source (root tip). The aims of this research were (i) to create a simulation model describing wavelike patterns of microbial populations in the rhizosphere, and (ii) to investigate by simulation the conditions leading to these patterns. After transformation of observed spatial data to presumed temporal data based on root growth rates, a simulation model was constructed with the Runge-Kutta integration method to simulate the dynamics of colony-forming bacterial biomass, with growth and death rates depending on substrate content so that the rate curves crossed over at a substrate concentration within the range of substrate availability in the model. This model was named "BACWAVE," standing for "bacterial waves." Cyclic dynamics of bacteria were generated by the model that were translated into traveling spatial waves along a moving nutrient source. Parameter values were estimated from calculated initial substrate concentrations and observed microbial distributions along wheat roots by an iterative optimization method. The kinetic parameter estimates fell in the range of values reported in the literature. Calculated microbial biomass values produced spatial fluctuations similar to those obtained for experimental biomass data derived from colony forming units. Concentrations of readily utilizable substrate calculated from biomass dynamics did not mimic measured concentrations of TOC, which consist not only of substrate but also various polymers and humic acids. In conclusion, a moving pulse of nutrients resulting in cycles of growth and death of microorganisms can indeed explain the observed phenomenon of moving microbial waves along roots. This is the first report of wavelike dynamics of microorganisms in soil along a root resulting from the interaction of a single organism group with its substrate.

Entities:  

Year:  2000        PMID: 11080383     DOI: 10.1007/s002480000029

Source DB:  PubMed          Journal:  Microb Ecol        ISSN: 0095-3628            Impact factor:   4.552


  8 in total

1.  Wavelike distributions of infections by an introduced and naturally occurring root pathogen along wheat roots.

Authors:  A H C van Bruggen; A M Semenov; V V Zelenev
Journal:  Microb Ecol       Date:  2002-05-20       Impact factor: 4.552

2.  Penicillin Trunk Injection Affects Bacterial Community Structure in Citrus Trees.

Authors:  Marina S Ascunce; Keumchul Shin; Jose C Huguet-Tapia; Ravin Poudel; Karen A Garrett; Ariena H C van Bruggen; Erica M Goss
Journal:  Microb Ecol       Date:  2018-12-01       Impact factor: 4.552

Review 3.  Rates of root and organism growth, soil conditions, and temporal and spatial development of the rhizosphere.

Authors:  Michelle Watt; Wendy K Silk; John B Passioura
Journal:  Ann Bot       Date:  2006-03-21       Impact factor: 4.357

4.  DGGE fragments oscillate with or counter to fluctuations in cultivable bacteria along wheat roots.

Authors:  Anne D van Diepeningen; Oscar J de Vos; Vladimir V Zelenev; Alexandre M Semenov; Ariena H C van Bruggen
Journal:  Microb Ecol       Date:  2005-11-29       Impact factor: 4.552

Review 5.  Microbial maintenance: a critical review on its quantification.

Authors:  Peter van Bodegom
Journal:  Microb Ecol       Date:  2007-03-01       Impact factor: 4.552

6.  Short-term wavelike dynamics of bacterial populations in response to nutrient input from fresh plant residues.

Authors:  V V Zelenev; A H C van Bruggen; A M Semenov
Journal:  Microb Ecol       Date:  2005-01-24       Impact factor: 4.552

7.  Wave-like distribution patterns of gfp-marked Pseudomonas fluorescens along roots of wheat plants grown in two soils.

Authors:  Ariena H C van Bruggen; Alexandre M Semenov; Vladimir V Zelenev; Alexander V Semenov; Jos M Raaijmakers; Ronald J Sayler; Oscar de Vos
Journal:  Microb Ecol       Date:  2007-10-13       Impact factor: 4.552

8.  Exserohilum rostratum: characterization of a cross-kingdom pathogen of plants and humans.

Authors:  Kalpana Sharma; Erica M Goss; Ellen R Dickstein; Matthew E Smith; Judith A Johnson; Frederick S Southwick; Ariena H C van Bruggen
Journal:  PLoS One       Date:  2014-10-06       Impact factor: 3.240

  8 in total

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