Vassallo Alberto, Miceli Elisangela, Fagorzi Camilla, Castronovo Lara Mitia, Del Duca Sara, Chioccioli Sofia, Venditto Silvia, Coppini Ester, Fibbi Donatella, Fani Renato
Department of Biology, University of Florence, Sesto Fiorentino, Italy.
G.I.D.A. SpA, Prato, Italy.
Front Microbiol. 2020 Jul 17;11:1652. doi: 10.3389/fmicb.2020.01652. eCollection 2020.
Improvement of industrial productions through more environment-friendly processes is a hot topic. In particular, land and marine environment pollution is a main concern, considering that recalcitrant compounds can be spread and persist for a long time. In this context, an efficient and cost-effective treatment of wastewater derived from industrial applications is crucial. Phytodepuration has been considered as a possible solution and it is based on the use of plants and their associated microorganisms to remove and/or transform pollutants. In this work we investigated the culturable microbiota of roots, sampled from the constructed wetlands (CWs) pilot plant in the G.I.D.A. SpA wastewater treatment plant (WWTP) of Calice (Prato, Tuscany, Italy) before and after the CW activation in order to check how the influx of wastewater might affect the resident bacterial community. specimens were sampled and a panel of 294 culturable bacteria were isolated and characterized. This allowed to identify the dynamics of the microbiota composition triggered by the presence of wastewater. 27 out of 37 bacterial genera detected were exclusively associated to wastewater, and was constantly the most represented genus. Moreover, isolates were assayed for their resistance against eight different antibiotics and synthetic wastewater (SWW). Data obtained revealed the presence of resistant phenotypes, including multi-drug resistant bacteria, and a general trend regarding the temporal evolution of resistance patterns: indeed, a direct correlation linking the appearance of antibiotic- and SWW-resistance with the time of exposure to wastewater was observed. In particular, nine isolates showed an interesting behavior since their growth was positively affected by the highest concentrations of SWW. Noteworthy, this study is among the few investigating the microbiota prior to the plant activation.
通过更环保的工艺提高工业生产是一个热门话题。特别是，陆地和海洋环境污染是一个主要问题，因为难降解化合物可能会扩散并长期存在。在这种背景下，对工业应用产生的废水进行高效且经济有效的处理至关重要。植物净化被认为是一种可能的解决方案，它基于利用植物及其相关微生物来去除和/或转化污染物。在这项工作中，我们调查了从意大利托斯卡纳大区普拉托市卡利切的G.I.D.A. SpA污水处理厂（WWTP）的人工湿地（CWs）试验工厂中，在CW激活前后采集的根系可培养微生物群，以检查废水的流入如何影响常驻细菌群落。采集了样本，分离并鉴定了一组294种可培养细菌。这使得能够确定由废水存在引发的微生物群组成的动态变化。检测到的37个细菌属中有27个仅与废水相关，并且 一直是最具代表性的属。此外，对分离株进行了针对八种不同抗生素和合成废水（SWW）的抗性测定。获得的数据揭示了抗性表型的存在，包括多重耐药细菌，以及抗性模式随时间演变的一般趋势：实际上，观察到抗生素和SWW抗性的出现与接触废水的时间之间存在直接相关性。特别是，有九种分离株表现出有趣的行为，因为它们的生长受到最高浓度SWW的积极影响。值得注意的是，这项研究是少数在工厂激活之前对微生物群进行调查的研究之一。
