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• W2474826210 abstract "In situ biofilm sampling is a key step for the study of natural biofilms and using methodologies that reflect natural diversity is necessary to guarantee representative sampling. Here, we focalise on the impact of the type of substrata on which biofilms grow on bacterial and fungal communities' structure. The indirect molecular approach, Denaturing Gel Gradient Electrophoresis (DGGE) of a gene fragment coding for either 16S rRNA or 28S rRNA, for bacteria or fungi respectively, was used to evaluate the variability of microbial community structures among different biofilm substrata: natural (pebbles, live plants, wood and sediment), or artificial (glass, Plexiglas(®) and sterile wood), in a small river (the Loiret, France). Multivariate statistics, band richness and diversity indexes (Shannon and Simpson) were used to highlight variations in community structure between substrata. Results showed variations of bacterial and fungal diversity between different substrata according to substratum properties/origin (natural or artificial, organic or inorganic) but there was no optimal substratum for sampling, and artificial substrata were not significantly less applicable than natural substrata. Pooling 4 different substrata types allowed a higher bacterial and fungal biodiversity recovery. Point contact sampling may thus gain in robustness by increasing the number of substrata considered. Fungal species richness was similar to the bacterial one on most substrata which suggested they should be more frequently considered in riverine biofilm studies." @default.
• W2474826210 created "2016-07-22" @default.
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• W2474826210 date "2016-06-21" @default.
• W2474826210 modified "2023-10-17" @default.
• W2474826210 title "Representative sampling of natural biofilms: influence of substratum type on the bacterial and fungal communities structure" @default.
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• W2474826210 doi "https://doi.org/10.1186/s40064-016-2448-2" @default.
• W2474826210 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4916114" @default.
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