Uneven genotypic diversity of Escherichia coli in fecal sources limits the performance of a library-dependent method of microbial source tracking on the southwestern French Atlantic coast.

To develop a library-dependent method of tracking fecal sources of contamination of beaches on the Atlantic coast of southwestern France, a library of 6368 Escherichia coli isolates was constructed from samples of feces, from 40 known human or animal sources collected in the vicinity of Arcachon Bay in 2010, and in French Basque Country, Landes, and Béarn, between 2017 and 2018. Different schemes of source identification were tested: use of the complete or filtered reference library; characterization of the isolates by genotypic or proteomic profiling based on ERIC-PCR or MALDI-TOF mass spectrometry, respectively; isolate by isolate assignment using either classifiers based on the Pearson similarity or SVM (support vector machine). With the exception of one source identification scheme, which was discarded since it used self-assignment, all tested schemes resulted in low rates of correct classification (<35%) and significant rates of incorrect classification (>15%). The heterogeneous coverage of E. coli genotypic diversity between sources and the uneven distribution of E. coli genotypes in the library likely explain the difficulties encountered in identifying the sources of fecal contamination. Shannon diversity index of sources ranged from 0 for several wildlife species sampled once to 3.03 for sewage treatment plant effluents sampled on various occasions, showing discrepancies between sources. The uneven genotypic composition of the library was attested by the value of the Pielou index (0.54), the high proportion of nondiscriminatory genotypes (>91% of the isolates), and the very low proportion of discriminatory genotypes (<3%). Since efforts made to constitute such a library are not affordable for routine analyses, the results question the relevance of developing such a method for identifying sources of fecal contamination on such a coastline.

Effect of oxic/anoxic switches on bacterial communities and PAH biodegradation in an oil-contaminated sludge.

PURPOSE: We studied the effect of alternations of aeration on both the autochthonous bacterial communities from an oily sludge to the endogenous polycyclic aromatic hydrocarbons (PAH) biodegradation compared to a permanent oxic condition. METHODS: Genomic and transcriptional analyses associated with chemical measurements were used to assess the dynamics of bacteria coupled to PAH removal during an incubation of 26 days. RESULTS AND CONCLUSIONS: The autochthonous bacterial communities of an oil sludge showed a strong potential to adapt and degrade PAH when they were subjected to alternating anoxic/oxic conditions, as well as under an oxic condition. In addition, changes in the bacterial communities were related to the different phases of hydrocarbon degradation, and the removal efficiency of PAH was similar in both switching and permanent oxic conditions. This methodology could be useful for an alternative solution of oil sludge treatment with a low-cost processing, as its efficiency is similar to that of a permanent oxic incubation which is more expensive in oxygen supply.

Role of environmental fluctuations and microbial diversity in degradation of hydrocarbons in contaminated sludge.

Little is known about microbial communities involved in hydrocarbon degradation, whether it be their structural and functional diversity or their response to environmental constraints such as oxygen fluctuation. Here, current knowledge of the impact of diversity and redox oscillations upon ecosystem processes is reviewed. In addition, we present the main conclusions of our studies in this field. Oxic/anoxic oscillations had a strong impact upon bacterial community structures, influencing their ability to degrade hydrocarbons and their capacity to reduce hydrocarbon toxicity. Furthermore, a decrease in functional diversity has a strong impact on pollutant degradation.