Microbial Community Analysis in the Rhizosphere by in Situ and ex Situ Application of Molecular Probing, Biomarker and Cultivation Techniques

Hartmann, Anton; Pukall, Rüdiger; Rothballer, Michael; Gantner, Stephan; Metz, Sigrun; Schloter, Michael; Mogge, Bernhard

doi:10.1007/978-3-540-74051-3_24

Cited by 5 publications

(1 citation statement)

References 69 publications

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“…This approach has allowed the development of molecular tools for their identification (Hartmann et al 2004;Malla et al 2005;Malla and Varma 2007). The RAPD data confirmed that even among these two species of Sebacinales belonging to the same morpho-zymographical group, the level of variation was substantially high.…”

Section: Discussionsupporting

confidence: 61%

Similarity Between Piriformospora indica and Sebacina vermifera Sensu Members of the Order Sebacinales Based on Immunological Techniques

Malla

Pokharel²,

Varma

2013

Soil Biology

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Section: Discussionsupporting

confidence: 61%

Similarity Between Piriformospora indica and Sebacina vermifera Sensu Members of the Order Sebacinales Based on Immunological Techniques

Malla

Pokharel²,

Varma

2013

Soil Biology

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Methods for evaluating human impact on soil microorganisms based on their activity, biomass, and diversity in agricultural soils

Joergensen

Emmerling

2006

Z. Pflanzenernähr. Bodenk.

246

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The present review is focused on microbiological methods used in agricultural soils accustomed to human disturbance. Recent developments in soil biology are analyzed with the aim of highlighting gaps in knowledge, unsolved research questions, and controversial results. Activity rates (basal respiration, N mineralization) and biomass are used as overall indices for assessing microbial functions in soil and can be supplemented by biomass ratios (C : N, C : P, and C : S) and eco‐physiological ratios (soil organic C : microbial‐biomass C, qCO2, qNmin). The community structure can be characterized by functional groups of the soil microbial biomass such as fungi and bacteria, Gram‐negative and Gram‐positive bacteria, or by biotic diversity. Methodological aspects of soil microbial indices are assessed, such as sampling, pretreatment of samples, and conversion factors of data into biomass values. Microbial‐biomass C (µg (g soil)–1) can be estimated by multiplying total PLFA (nmol (g soil)–1) by the FPLFA‐factor of 5.8 and DNA (µg (g soil)–1) by the FDNA‐factor of 6.0. In addition, the turnover of the soil microbial biomass is appreciated as a key process for maintaining nutrient cycles in soil. Examples are briefly presented that show the direction of human impact on soil microorganisms by the methods evaluated. These examples are taken from research on organic farming, reduced tillage, de‐intensification of land‐use management, degradation of peatland, slurry application, salinization, heavy‐metal contamination, lignite deposition, pesticide application, antibiotics, TNT, and genetically modified plants.

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Relationships between microbial indices in roots and silt loam soils forming a gradient in soil organic matter

Appuhn¹,

Scheller²,

Joergensen³

2006

Soil Biology and Biochemistry

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Microbial Community Analysis in the Rhizosphere by in Situ and ex Situ Application of Molecular Probing, Biomarker and Cultivation Techniques

Cited by 5 publications

References 69 publications

Similarity Between Piriformospora indica and Sebacina vermifera Sensu Members of the Order Sebacinales Based on Immunological Techniques

Similarity Between Piriformospora indica and Sebacina vermifera Sensu Members of the Order Sebacinales Based on Immunological Techniques

Methods for evaluating human impact on soil microorganisms based on their activity, biomass, and diversity in agricultural soils

Relationships between microbial indices in roots and silt loam soils forming a gradient in soil organic matter

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