National Marine Science Centre, Southern Cross University, Coffs Harbour, NSW, 2450, Australia.
Faculty of Science and Engineering, Southern Cross University, East Lismore, NSW, 2480, Australia.
Environ Pollut. 2024 Oct 15;359:124561. doi: 10.1016/j.envpol.2024.124561. Epub 2024 Jul 15.
Pesticides, including insecticides and fungicides, are major contaminants in the effluent from intensive agricultural systems, such as greenhouses. Because of their constant use and persistence, some pesticides can accumulate in soil and/or run off into adjacent waterways. Microbial communities in soil can degrade some pesticides, and bioreactors with enhanced microbial communities have the potential to facilitate decontamination before the effluent is released into the environment. In this study, we sampled the soil along a gradient from immediately below greenhouses, into, through and below a bioreactor. Multi-analyte pesticide screening was undertaken along with shotgun metagenomic sequencing, to assess microbial community taxonomic profiles and metabolic pathway responses for functional analysis. Two insecticides (imidacloprid and fipronil) and nine fungicides were identified in the soil samples, with a general decrease in most pesticides with increasing distance from the greenhouses. Diversity indexes of taxonomic profiles show changes in the microbial community along the gradient. In particular, microbial communities were significantly different in the bioreactor, with lower Shannon diversity compared to immediately below the greenhouses, in the channels leading into the bioreactor and further downstream. Metabolic pathway analysis revealed significant changes in a wide range of core housekeeping genes such as protein/amino acid synthesis and lipid/fatty acid biosynthesis among the sampling sites. The result demonstrates that the composition and potential functional pathways of the microbial community shifted towards an increased tendency for phytol and contaminant degradation in the bioreactor, facilitated by high organic matter content. This highlights the potential to use enhanced microbial communities within bioreactors to reduce contamination by some pesticides in sediment receiving run-off from greenhouses.
农药,包括杀虫剂和杀菌剂,是集约化农业系统(如温室)废水的主要污染物。由于它们的持续使用和持久性,一些农药可能会在土壤中积累和/或流入附近的水道。土壤中的微生物群落可以降解一些农药,而增强微生物群落的生物反应器有在废水排放到环境之前进行净化的潜力。在这项研究中,我们沿着从温室下方到生物反应器内部、穿过生物反应器以及下方的梯度,对土壤进行了采样。进行了多分析物农药筛选以及 shotgun 宏基因组测序,以评估微生物群落分类群的特征和代谢途径反应,进行功能分析。在土壤样本中鉴定出两种杀虫剂(吡虫啉和氟虫腈)和九种杀菌剂,随着与温室距离的增加,大多数农药的浓度普遍降低。分类群特征的多样性指数显示了微生物群落沿着梯度的变化。特别是,生物反应器中的微生物群落与温室下方、进入生物反应器的通道和下游的微生物群落有明显的不同,其 Shannon 多样性较低。代谢途径分析显示,在采样点之间,广泛的核心管家基因如蛋白质/氨基酸合成和脂质/脂肪酸生物合成发生了显著变化。结果表明,在生物反应器中,微生物群落的组成和潜在功能途径朝着增加植物甾醇和污染物降解的趋势发生了变化,这得益于高有机质含量。这突出了在生物反应器中利用增强的微生物群落来减少温室径流沉积物中一些农药污染的潜力。