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RESEARCH PRODUCT
Validation and application of a PCR primer set to quantify fungal communities in the soil environment by real-time quantitative PCR
Samuel DequiedtMélanie LelievreLaure GuillouClaudy JolivetNicolas Chemidlin Prévost-bouréRichard ChristenHamid Reza ShahbazkiaLionel RanjardChristophe MougelDominique Arrouayssubject
fungal abundance organic carbon content real-time Q-PCR length polymorphism SYBRGreen method type de sol[SDV]Life Sciences [q-bio]lcsh:MedicinePlant SciencePlant Roots18S ribosomal RNASYBRGreen methodtype de sol[ SDE ] Environmental SciencesSoilFungal Reproductionlcsh:ScienceDNA FungalPhylogenyorganic carbon content2. Zero hunger0303 health sciencesDiversityMultidisciplinaryfungal abundanceEcologyEcologyRevealsFungal geneticsPolymerase-chain-reactionAgricultureBiodiversityAmpliconSoil Ecologysoil texture amplification enzymatique de l'adnBacterial communitiesSamplesreal-time Q-PCRCommunity Ecology[SDE]Environmental SciencesRhizosphereResearch ArticleSoil textureIn silicoMolecular Sequence DataSoil ScienceComputational biologyMycologyBiologyReal-Time Polymerase Chain ReactionMicrobiologyMicrobial Ecology03 medical and health sciencesSpecies SpecificityMedicago truncatulaMicrobial communityRNA Ribosomal 18SSoil ecologyBiology030304 developmental biologyDNA PrimersRibosomal-Rna genes[ SDV ] Life Sciences [q-bio]030306 microbiologylcsh:RFungiBotanyReproducibility of Resultslength polymorphismsoil textureSequence Analysis DNADna15. Life on landamplification enzymatique de l'adnDNA extractionlcsh:QPrimer (molecular biology)description
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 (R) 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. ADEME (French Agency for Energy and Environment); French National Research Agency (ANR); French Ministry for Ecology and Sustainable Development (MEEDDM); French Ministry of Agriculture (MAP); French Institute for Environment (IFEN); French Institute for Research and Development (IRD); National Forest Inventory (IFN); National Institute for Agronomic Research (INRA)
year | journal | country | edition | language |
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2011-09-01 |