1. Assessing the bias linked to DNA recovery from biofiltration woodchips for microbial community investigation by fingerprinting
- Author
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Franck Poly, Léa Cabrol, Jean-Louis Fanlo, Luc Malhautier, Anne-Sophie Lepeuple, Veolia Environnement, Water Research Center, Veolia Environnement, Laboratoire de Génie de l'Environnement Industriel (LGEI), IMT - MINES ALES (IMT - MINES ALES), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Laboratoire d'Ecologie Microbienne - UMR 5557 (LEM), Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Ecole Nationale Vétérinaire de Lyon (ENVL), Laboratoire de Génie de l'Environnement Industriel ( LGEI ), IMT - Mines Alès Ecole Mines - Télécom ( IMT - MINES ALES ), Ecologie microbienne ( EM ), Centre National de la Recherche Scientifique ( CNRS ) -Ecole Nationale Vétérinaire de Lyon ( ENVL ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National de la Recherche Agronomique ( INRA ) -VetAgro Sup ( VAS ), Centre National de la Recherche Scientifique (CNRS)-Ecole Nationale Vétérinaire de Lyon (ENVL)-Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-Université de Lyon-Institut National de la Recherche Agronomique (INRA)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)
- Subjects
Sonication ,DNA extraction . Cell dispersion . DGGE . Biofiltration . Diversity . Microbial community structure ,010501 environmental sciences ,Biology ,Nucleic Acid Denaturation ,Polymerase Chain Reaction ,01 natural sciences ,Applied Microbiology and Biotechnology ,[ SDV.EE ] Life Sciences [q-bio]/Ecology, environment ,law.invention ,03 medical and health sciences ,chemistry.chemical_compound ,law ,Cluster Analysis ,Polymerase chain reaction ,0105 earth and related environmental sciences ,[SDV.EE]Life Sciences [q-bio]/Ecology, environment ,[ SDE.BE ] Environmental Sciences/Biodiversity and Ecology ,0303 health sciences ,Chromatography ,030306 microbiology ,Extraction (chemistry) ,Biodiversity ,DNA ,General Medicine ,DNA Fingerprinting ,Wood ,DNA extraction ,chemistry ,Nucleic acid ,Electrophoresis, Polyacrylamide Gel ,Woodchips ,Metagenomics ,[SDE.BE]Environmental Sciences/Biodiversity and Ecology ,Filtration ,Temperature gradient gel electrophoresis ,Biotechnology - Abstract
International audience; In this study, we explored methodological aspects of nucleic acid recovery from microbial communities involved in a gas biofilter filled with pine bark woodchips. DNA was recovered indirectly in two steps, comparing different methods: cell dispersion (crushing, shaking, and sonication) and DNA extraction (three commercial kits and a laboratory protocol). The objectives were (a) to optimize cell desorption from the packing material and (b) to compare the 12 combinations of desorption and extraction methods, according to three relevant criteria: DNAyield, DNA purity, and community structure representation by denaturing gradient gel electrophoresis (DGGE). Cell dispersion was not influenced by the operational parameters tested for shaking and blending, while it increased with time for sonication. DNA extraction by the laboratory protocol provided the highest DNA yields, whereas the best DNA purity was obtained by a commercial kit designed for DNA extraction from soil. After successful PCR amplification, the 12 methods did not generate the same bias in microbial community representation. Eight combinations led to high diversity estimation, independently of the experimental procedure. Among them, six provided highly similar DGGE profiles. Two protocols generated a significantly dissimilar community profile, with less diversity. This study highlighted the crucial importance of DNA recovery bias evaluation.
- Published
- 2009
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