Dataset Information

Validation and application of a PCR primer set to quantify fungal communities in the soil environment by real-time quantitative PCR.

ABSTRACT: Fungi constitute an important group in soil biological diversity and functioning. However, characterization and knowledge of fungal communities is hampered because few primer sets are available to quantify fungal abundance by real-time quantitative PCR (real-time Q-PCR). The aim in this study was to quantify fungal abundance in soils by incorporating, into a real-time Q-PCR using the SYBRGreen® method, a primer set already used to study the genetic structure of soil fungal communities. To satisfy the real-time Q-PCR requirements to enhance the accuracy and reproducibility of the detection technique, this study focused on the 18S rRNA gene conserved regions. These regions are little affected by length polymorphism and may provide sufficiently small targets, a crucial criterion for enhancing accuracy and reproducibility of the detection technique. An in silico analysis of 33 primer sets targeting the 18S rRNA gene was performed to select the primer set with the best potential for real-time Q-PCR: short amplicon length; good fungal specificity and coverage. The best consensus between specificity, coverage and amplicon length among the 33 sets tested was the primer set FR1/FF390. This in silico analysis of the specificity of FR1/FF390 also provided additional information to the previously published analysis on this primer set. The specificity of the primer set FR1/FF390 for Fungi was validated in vitro by cloning--sequencing the amplicons obtained from a real time Q-PCR assay performed on five independent soil samples. This assay was also used to evaluate the sensitivity and reproducibility of the method. Finally, fungal abundance in samples from 24 soils with contrasting physico-chemical and environmental characteristics was examined and ranked to determine the importance of soil texture, organic carbon content, C?N ratio and land use in determining fungal abundance in soils.

SUBMITTER: Chemidlin Prevost-Boure N

PROVIDER: S-EPMC3169588 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature

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Validation and application of a PCR primer set to quantify fungal communities in the soil environment by real-time quantitative PCR.

Chemidlin Prévost-Bouré Nicolas N Christen Richard R Dequiedt Samuel S Mougel Christophe C Lelièvre Mélanie M Jolivet Claudy C Shahbazkia Hamid Reza HR Guillou Laure L Arrouays Dominique D Ranjard Lionel L

PloS one 20110908 9

Fungi constitute an important group in soil biological diversity and functioning. However, characterization and knowledge of fungal communities is hampered because few primer sets are available to quantify fungal abundance by real-time quantitative PCR (real-time Q-PCR). The aim in this study was to quantify fungal abundance in soils by incorporating, into a real-time Q-PCR using the SYBRGreen® method, a primer set already used to study the genetic structure of soil fungal communities. To satisf ...[more]

PMID: 21931659

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Project description:Methane oxidation in soils is mostly accomplished by methanotrophic bacteria. Little is known about the abundance of methanotrophs in soils, since quantification by cultivation and microscopic techniques is cumbersome. Comparison of 16S ribosomal DNA and pmoA (alpha subunit of the particulate methane monooxygenase) phylogenetic trees showed good correlation and revealed five distinct groups of methanotrophs within the alpha and gamma subclasses of Proteobacteria: the Methylococcus group, the Methylobacter/Methylosarcina group, the Methylosinus group, the Methylocapsa group, and the forest clones group (a cluster of pmoA sequences retrieved from forest soils). We developed quantitative real-time PCR assays with SybrGreen for each of these five groups and for all methanotrophic bacteria by targeting the pmoA gene. Detection limits were between 10(1) and 10(2) target molecules per reaction for all assays. Real-time PCR analysis of soil samples spiked with cells of Methylococcus capsulatus, Methylomicrobium album, and Methylosinus trichosporium recovered almost all the added bacteria. Only the Methylosinus-specific assay recovered only 20% of added cells, possibly due to a lower lysis efficiency of type II methanotrophs. Analysis of the methanotrophic community structure in a flooded rice field soil showed (5.0 +/- 1.4) x 10(6) pmoA molecules g(-1) for all methanotrophs. The Methylosinus group was predominant (2.7 x 10(6) +/- 1.1 x 10(6) target molecules g(-1)). In addition, bacteria of the Methylobacter/Methylosarcina group were abundant (2.0 x 10(6) +/- 0.9 x 10(6) target molecules g of soil(-1)). On the other hand, pmoA affiliated with the forest clones and the Methylocapsa group was below the detection limit of 1.9 x 10(4) target molecules g of soil(-1). Our results showed that pmoA-targeted real-time PCR allowed fast and sensitive quantification of the five major groups of methanotrophs in soil. This approach will thus be useful for quantitative analysis of the community structure of methanotrophs in nature.

Dataset Information

Validation and application of a PCR primer set to quantify fungal communities in the soil environment by real-time quantitative PCR.

Publications

Validation and application of a PCR primer set to quantify fungal communities in the soil environment by real-time quantitative PCR.

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