Sepiolite and biochar can immobilize heavy metals and organic pollutants in soil effectively, but their impact on the soil microbial community and diversity is still unclear. High-throughput Illumina MiSeq method was used to study the effects of sepiolite and biochar on the diversity of microbial communities in acid red soil amended with cadmium and atrazine. A total of 47,472 microbiological Operational Taxonomic Units (OTUs) were found in all the treated soil samples. Sepiolite and biochar enriched the diversity of soil microbes at different classification levels and OTUs, but the effect of biochar was stronger than that of sepiolite. A Venn diagram showed that compared with other treatments, adding 2% biochar could promote the growth of specific microbes, which is better than the case for 5% biochar. The heat map of species abundance cluster showed that the dominant microbes in soil were different for different treatment doses of sepiolite and biochar. Among all the soil treatments, the top ten dominant bacterial phyla (from high to low dominance) were: Actinobacteria, Proteobacteria, Firmicutes, Bacteroidetes, Acidobacteria, Gemmatimonadetes, Chloroflexi, Planctomycetes, Cyanobacteria, and Verrucomicrobia. The addition of sepiolite and biochar promoted the restoration of the microbial community diversity in contaminated soil. 相似文献
The ability of microbial populations to mediate the anaerobic transformation of four aromatic compounds (aniline, benzoic acid, pyridine, and quinoline) in sediments of the Tsengwen River was examined. Along the river, from a freshwater (0.0° salinity) to an oceanic (37.0° salinity) environment, five sampling stations were chosen to collect the sediment. Sediment slurries were incubated in an anaerobic mineral salts medium that was amended with multiple electron acceptors, including manganese (IV) and ferric (III) oxides, and the concentrations of the aromatic substrates were followed over a 3- to 4-month period. Most sediment samples showed a complete loss of benzoic acid and quinoline (0.12–0.21 mM) within approximately three months. Pyridine was transformed after a lag period of 53 days in the sediment slurries from the freshwater environment which had been amended with both metal oxide (either Fe (OH)3 or MnO2) and inhibitor (either BESA or molybdate). Pyridine was not transformed in other sediment slurries. No significant metabolism of aniline was apparent in any of the sediments. 相似文献
Three acid-producing strains, AFB-1, AFB-2 and AFB-3, were isolated during this study, and their roles in anaerobic digestion of waste activated sludge (WAS) were evaluated. Data of 16S rRNA method showed that AFB-1 and AFB-2 were Bacillus coagulans, and AFB-3 was Escherichia coli. The removal in terms of volatile solids (VS) and total chemical oxygen demand (TCOD) was maximized at 42.7% and 44.7% by inoculating Bacillus coagulans AFB-1. Besides, the optimal inoculum concentration of Bacillus coagulans AFB-1 was 30% (v/v). Solubilization degree experiments indicated that solubilization ratios (SR) of WAS reached 20.8%±2.2%, 17.7%±1.48%, and 11.1%±1.53%. Volatile fatty acids (VFAs) concentrations and compositions were also explored with a gas chromatograph. The results showed that VFAs improved by 98.5%, 53.0% and 11.6% than those of the control, respectively. Biochemical methane potential (BMP) experiments revealed that biogas production increased by 90.7% and 75.3% when inoculating with Bacillus coagulans AFB-1 and AFB-2. These results confirmed that the isolated acid-producing bacteria, especially Bacillus coagulans, was a good candidate for anaerobic digestion of WAS.
赤水河是茅台酒酿造用水的水源地,其环境承载能力和水质质量与该流域微生物的群落息息相关,而目前赤水河浮游细菌群落组成、功能及其与水质之间的关系研究开展较少.本研究以茅台酒厂采水点为中心,在其上中下游设置了W1~W6共6个采样点,采用16S rDNA Miseq高通量测序技术研究了赤水河浮游细菌群落的组成及其功能.结果表明浮游细菌群落主要由55门、167纲、415目、706科、1431属组成,假单胞菌属(Pseudomonas)和马赛菌属(Massilia)是相对优势种群.此外,W1和W3采样点样品与其他采样点样品相比,群落组成差异较大.冗余分析表明CODMn、COD和DO是影响群落组成的显著因素(p<0.05),其与NH3-N、pH、TN、Novosphingobium、Stenotrophomona和Pontibacter等参数是该流域浮游细菌群落网络的重要节点.使用PICRUSt2软件对该水源地微生物群落的功能进行预测,结果显示其功能主要涉及代谢(metabolism)、环境信息处理(environmental information processing)、遗传信息处理(genetic information processing)等6类生物代谢通路和碳水化合物代谢(carbohydrate metabolism)、氨基酸代谢(amino acid metabolism)、能量代谢(energy metabolism)、辅助因子和维生素的代谢(metabolism of cofactors and vitamins)等46个子功能.本研究探明了赤水河浮游细菌群落组成和功能及其与环境因子的相互联系,丰富了赤水河地区的第一手研究资料,为改善其水域环境提供了参考. 相似文献