Literature DB >> 21926225

Microbial communities show parallels at sites with distinct litter and soil characteristics.

Marketa Sagova-Mareckova1, Marek Omelka, Ladislav Cermak, Zdenek Kamenik, Jana Olsovska, Evelyn Hackl, Jan Kopecky, Franz Hadacek.   

Abstract

Plant and microbial community composition in connection with soil chemistry determines soil nutrient cycling. The study aimed at demonstrating links between plant and microbial communities and soil chemistry occurring among and within four sites: two pine forests with contrasting soil pH and two grasslands of dissimilar soil chemistry and vegetation. Soil was characterized by C and N content, particle size, and profiles of low-molecular-weight compounds determined by high-performance liquid chromatography (HPLC) of soil extracts. Bacterial and actinobacterial community composition was assessed by terminal restriction fragment length polymorphism (T-RFLP) and cloning followed by sequencing. Abundances of bacteria, fungi, and actinobacteria were determined by quantitative PCR. In addition, a pool of secondary metabolites was estimated by erm resistance genes coding for rRNA methyltransferases. The sites were characterized by a stable proportion of C/N within each site, while on a larger scale, the grasslands had a significantly lower C/N ratio than the forests. A Spearman's test showed that soil pH was correlated with bacterial community composition not only among sites but also within each site. Bacterial, actinobacterial, and fungal abundances were related to carbon sources while T-RFLP-assessed microbial community composition was correlated with the chemical environment represented by HPLC profiles. Actinobacteria community composition was the only studied microbial characteristic correlated to all measured factors. It was concluded that the microbial communities of our sites were influenced primarily not only by soil abiotic characteristics but also by dominant litter quality, particularly, by percentage of recalcitrant compounds.

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Year:  2011        PMID: 21926225      PMCID: PMC3209186          DOI: 10.1128/AEM.00527-11

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  34 in total

1.  Semi-automated genetic analyses of soil microbial communities: comparison of T-RFLP and RISA based on descriptive and discriminative statistical approaches.

Authors:  Martin Hartmann; Beat Frey; Roland Kölliker; Franco Widmer
Journal:  J Microbiol Methods       Date:  2005-01-15       Impact factor: 2.363

2.  Lack of correspondence between genetic and phenotypic groups amongst soil-borne streptomycetes.

Authors:  Anita L Davelos Baines; Kun Xiao; Linda L Kinkel
Journal:  FEMS Microbiol Ecol       Date:  2007-03       Impact factor: 4.194

3.  Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy.

Authors:  Qiong Wang; George M Garrity; James M Tiedje; James R Cole
Journal:  Appl Environ Microbiol       Date:  2007-06-22       Impact factor: 4.792

4.  Reliability for detecting composition and changes of microbial communities by T-RFLP genetic profiling.

Authors:  Martin Hartmann; Franco Widmer
Journal:  FEMS Microbiol Ecol       Date:  2008-01-02       Impact factor: 4.194

5.  Lignocarbohydrate solubilization from straw by actinomycetes.

Authors:  A S Ball; B Godden; P Helvenstein; M J Penninckx; A J McCarthy
Journal:  Appl Environ Microbiol       Date:  1990-10       Impact factor: 4.792

6.  Alkaline hydrolysis of humic substances--spectroscopic and chromatographic investigations.

Authors:  M U Kumke; C H Specht; T Brinkmann; F H Frimmel
Journal:  Chemosphere       Date:  2001-11       Impact factor: 7.086

7.  Microbial community composition and function across an arctic tundra landscape.

Authors:  Donald R Zak; George W Kling
Journal:  Ecology       Date:  2006-07       Impact factor: 5.499

8.  Resource amendments influence density and competitive phenotypes of Streptomyces in soil.

Authors:  Daniel Schlatter; Alfred Fubuh; Kun Xiao; Dan Hernandez; Sarah Hobbie; Linda Kinkel
Journal:  Microb Ecol       Date:  2008-08-13       Impact factor: 4.552

9.  Bacterial diversity in agricultural soils during litter decomposition.

Authors:  Oliver Dilly; Jaap Bloem; An Vos; Jean Charles Munch
Journal:  Appl Environ Microbiol       Date:  2004-01       Impact factor: 4.792

10.  NAST: a multiple sequence alignment server for comparative analysis of 16S rRNA genes.

Authors:  T Z DeSantis; P Hugenholtz; K Keller; E L Brodie; N Larsen; Y M Piceno; R Phan; G L Andersen
Journal:  Nucleic Acids Res       Date:  2006-07-01       Impact factor: 16.971

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  5 in total

1.  Succession of Microbial Decomposers Is Determined by Litter Type, but Site Conditions Drive Decomposition Rates.

Authors:  A Buresova; J Kopecky; V Hrdinkova; Z Kamenik; M Omelka; M Sagova-Mareckova
Journal:  Appl Environ Microbiol       Date:  2019-11-27       Impact factor: 4.792

2.  Phylogenetic relatedness determined between antibiotic resistance and 16S rRNA genes in actinobacteria.

Authors:  Marketa Sagova-Mareckova; Dana Ulanova; Petra Sanderova; Marek Omelka; Zdenek Kamenik; Jana Olsovska; Jan Kopecky
Journal:  BMC Microbiol       Date:  2015-04-01       Impact factor: 3.605

3.  The effect of antibiotics on associated bacterial community of stored product mites.

Authors:  Jan Kopecky; Marta Nesvorna; Marketa Mareckova-Sagova; Jan Hubert
Journal:  PLoS One       Date:  2014-11-11       Impact factor: 3.240

4.  Elevation gradient of soil bacterial communities in bamboo plantations.

Authors:  Yu-Te Lin; Chih-Yu Chiu
Journal:  Bot Stud       Date:  2016-02-29       Impact factor: 2.787

5.  A Short-Term Response of Soil Microbial Communities to Cadmium and Organic Substrate Amendment in Long-Term Contaminated Soil by Toxic Elements.

Authors:  Pavla Madrova; Tomas Vetrovsky; Marek Omelka; Michal Grunt; Yvona Smutna; Daria Rapoport; Marek Vach; Petr Baldrian; Jan Kopecky; Marketa Sagova-Mareckova
Journal:  Front Microbiol       Date:  2018-11-20       Impact factor: 5.640

  5 in total

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