کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
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2091035 | 1081529 | 2008 | 6 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: 16S rDNA analysis reveals low microbial diversity in community level physiological profile assays 16S rDNA analysis reveals low microbial diversity in community level physiological profile assays](/preview/png/2091035.png)
The metabolic diversity of microbial communities is fundamental for the multiple soil functions mediated by microorganisms. Community level physiological profiles (CLPPs) based on sole C source oxidation have been used as a fast and reproducible tool to study soil microbial functional diversity because the utilisation of available carbon is the key factor governing microbial growth in soil. Our aim was to assess the phylogenetic affiliation of the microorganisms responsible for C consumption after inoculating Biolog™ plates. For this purpose, two semi-arid Mediterranean forest soils with significantly different patterns of C consumption and microbial community structure were used. Following the inoculation of the Biolog plates, suspensions from seven wells were sampled after 1, 2 and 7 d of incubation. DNA was extracted and the microbial communities analysed by polymerase chain reaction followed by denaturing gradient gel electrophoresis (PCR–DGGE) and sequencing of excised bands.Despite major differences in the microbial communities of the soils studied, their DGGE banding patterns after incubation were similar for all the analysed C source suspensions. Microorganisms belonging to β-Proteobacteria (Ralstonia sp. and Burkholderia sp.) and α-Proteobacteria (Rhizobium sp.) were dominant. These opportunists had a competitive advantage under the conditions at which the CLPPs were analysed.This study reveals that significantly different CLPP patterns can be generated on the basis of only 3–4 genera, as reflected by PCR–DGGE analysis. Also for this reason, CLPPs based on incubations of soil suspensions should just be used as a screening method and always be accompanied by other techniques for community analysis.
Journal: Journal of Microbiological Methods - Volume 72, Issue 3, March 2008, Pages 221–226