Molecular characterization of soil microorganisms: effect of industrial pollution on distribution and biodiversity

The present study aimed to investigate variations in the diversity of the indigenous bacterial and fungal populations in contaminated soil. Soil samples were collected from highly contaminated agricultural soil adjacent to an industrial drain in the Nile Delta named the “Defsho” drain, located at the city of Kafr El-Dawar, 20 km south of Alexandria (Longitude 30.12917 and Latitude 31.13972). PCR has become a popular tool for the retrieval of the natural environmental rRNA genes that represent native microbial species. Soil DNA was extracted and the 16S and 18S rRNA genes were amplified using polymerase chain reaction (PCR) and gene cloning. About 5,000 clones were obtained and genotyped using denaturing high performance liquid chromatography (DHPLC) to fingerprinting the biodiversity in the soil. Clones, which give different peaks with DHPLC, were then subjected to partial sequencing. Five prokaryotic and two eukaryotic out of 1,000 recombinant clones were randomly selected and further studied by DNA sequencing analysis. These clones were designated PT and ET for prokaryotes and eukaryotes, respectively. Results confirmed the hazardous effects of pollution on the distribution and biodiversity of soil microorganisms where most of the native beneficial microorganisms were disappeared or non-cultured under these stressed conditions compared to the normal non-polluted soils in the same governorate which is certainly affecting soil fertility and productivity. Five prokaryotic (PT) and two eukaryotic (ET) recombinant clones were randomly selected and further studied by DNA sequence analysis. DNA sequencing revealed that most of the identified bacteria are members of the class Proteobacteria; subdivision Gammaproteobacteria; order Enterobacteriales and family Enterobacteriaceae. Two PT clones (PT2 and PT4) were identified as Shigella flexneri 301-AF499895; members of PT1 and PT3 were related to Escherichia sp. and the uncultured bacterium S000009863 while PT5 was uncultured bacterium-S000331457 in addition to unclassified member of Desulfobacteriaceae, subdivision Deltaproteobacteria. ET1 was uncultured Trichocomaceae clone HC-B1/1-AF548306 and ET2 represents uncultured fungus clone SBS8w47f-AY681463, respectively. In conclusion, the significant decline in the genetic diversity in Defsho soil emphasized the hazardous effect of the industrial pollution on the biodiversity, stability and functioning of the native microbial population. Results also proved the efficiency of molecular characterization as precise and fast techniques for determining soil biodiversity compared to the traditional cultivation methods.     

Air pollution: forest health and passive sampling

32nd Annual Air Pollution Workshop
Auburn University in Auburn, AL, USA, April 2000
Air pollution has profound effects on agriculture, forests and natural ecosystems. The first Air Pollution Workshop was held over 30 years ago, and the most vital issues have always been highlighted within this forum. This year, forest health and passive sampling of air pollutants were two key areas of interest.     

Quantifying effects of soil heterogeneity on groundwater pollution at four sites in USA

Four sites located in the north-eastern region of the United States of America have been chosen to investigate the impacts of soil heterogeneity in the transport of solutes (bromide and chloride) through the vadose zone (the zone in the soil that lies below the root zone and above the permanent saturated groundwater). A recently proposed mathematical model based on the cumulative beta distribution has been deployed to compare and contrast the regions’ heterogeneity from multiple sample percolation experiments. Significant differences in patterns of solute leaching were observed even over a small spatial scale, indicating that traditional sampling methods for solute transport, for example the gravity pan or suction lysimeters, or more recent inventions such as the multiple sample percolation systems may not be effective in estimating solute fluxes in soils when a significant degree of soil heterogeneity is present. Consequently, ignoring soil heterogeneity in solute transport studies will likely result in under- or overprediction of leached fluxes and potentially lead to serious pollution of soils and/or groundwater. The cumulative beta distribution technique is found to be a versatile and simple technique of gaining valuable information regarding soil heterogeneity effects on solute transport. It is also an excellent tool for guiding future decisions of experimental designs particularly in regard to the number of samples within one site and the number of sampling locations between sites required to obtain a representative estimate of field solute or drainage flux.     

Quantifying effects of soil heterogeneity on groundwater pollution at four sites in USA

Four sites located in the north-eastern region of the United States of America have been chosen to investigate the impacts of soil heterogeneity in the transport of solutes (bromide and chloride) through the vadose zone (the zone in the soil that lies below the root zone and above the permanent saturated groundwater). A recently proposed mathematical model based on the cumulative beta distribution has been deployed to compare and contrast the regions' heterogeneity from multiple sample percolation experiments. Significant differences in patterns of solute leaching were observed even over a small spatial scale, indicating that traditional sampling methods for solute transport, for example the gravity pan or suction lysimeters, or more recent inventions such as the multiple sample percolation systems may not be effective in estimating solute fluxes in soils when a significant degree of soil heterogeneity is present. Consequently, ignoring soil heterogeneity in solute transport studies will likely result in     

Quantifying effects of soil heterogeneity on groundwater pollution at four sites in USA

Four sites located in the north-eastern region of the United States of America have been chosen to investigate the impacts of soil heterogeneity in the transport of solutes (bromide and chloride) through the vadose zone (the zone in the soil that lies below the root zone and above the permanent saturated groundwater). A recently proposed mathematical model based on the cumulative beta distribution has been deployed to compare and contrast the regions' heterogeneity from multiple sample percolation experiments. Significant differences in patterns of solute leaching were observed even over a small spatial scale, indicating that traditional sampling methods for solute transport, for example the gravity pan or suction lysimeters, or more recent inventions such as the multiple sample percolation systems may not be effective in estimating solute fluxes in soils when a significant degree of soil heterogeneity is present. Consequently, ignoring soil heterogeneity in solute transport studies will likely result in under- or overprediction of leached fluxes and potentially lead to serious pollution of soils and/or groundwater.The cumulative beta distribution technique is found to be a versatile and simple technique of gaining valuable information regarding soil heterogeneity effects on solute transport. It is also an excellent tool for guiding future decisions of experimental designs particularly in regard to the number of samples within one site and the number of sampling locations between sites required to obtain a representative estimate of field solute or drainage flux.     

Bioremediation of groundwater pollution.

Significant progress has been made in the past year towards an understanding of the microbial processes in subsurface environments that may allow natural microbial populations to be employed for bioremediation of groundwater pollution. Among the highlights were: the discovery of several previously unknown xenobiotic-degrading abilities in groundwater microorganisms; progress in using the unique abilities of methanotrophs to oxidize halogenated solvents; and characterizations of microbial populations from subsurface soils.     

湘江流域工业污染源对农田生态系统土壤动物群落影响的研究

对湘江流域工业污染区的土壤动物群落研究表明,接近污染源和污染物质富集的农田,土壤动物的种类和数量减少;工业污染区土壤的污染主要是重金属有毒物质的过量累积。调查共获得29类土壤动物,隶属于4门10纲,动物的种类与数量随着重金属污染程度的增加而递减,土壤动物密度与重金属元素Hg、Cd,zn、Cu、As、Pb的浓度密切相关,这在污染模拟实验中也得到证明。     

Modelling soil productivity and pollution

Predictive models of soil and plant processes should be of much benefit both in developing and developed countries. They can assist in enabling agronomic practices to be better adjusted for differences in conditions; in avoiding disasters that can accompany change in land use; in minimizing waste and environmental pollution, and in modifying and implementing legislation. These views are discussed in the light of recent advances. Particular attention is drawn to (i) the excellent relationships linking average national yields, nutrient uptakes, etc. to single factors such as average fertilizer application; (ii) equations for predicting the behaviour of added chemicals and water in soil that have been obtained by rigorous deduction from physical and chemical laws; (iii) the discovery of semi-empirical, but nevertheless widely applicable quantitative relations for key soil and plant processes, and (iv) the formulation and use of computer models for field situations. There is a pressing need to find ways of presenting the outcome of this work so that it can be more widely applied in practice.     

土壤宏蛋白质组学在土壤污染评价中的应用

土壤微生物指标是评价土壤污染程度的重要生物学指标之一.近年来,随着分子生物学的发展,应用宏基因组学、宏转录组学和宏蛋白质组学技术考察土壤微生物的生态功能成为土壤功能的研究热点.相对于宏基因组学和宏转录组学,土壤宏蛋白质组学是以土壤微生物基因的功能组分——蛋白质为直接研究对象,考察不同时空点提取出来的土壤蛋白质的变化规律,更有助于揭示土壤微生物的生态功能及其在污染物迁移转化过程中的作用,在评价土壤污染方面也更具潜力.目前,土壤宏蛋白质组学正处于起步阶段,而土壤蛋白质的提取方法是制约其发展的主要因素之一,因此本文综述了蛋白质作为土壤污染评价指标的优势,重点比较了不同土壤蛋白质提取方法的优劣,结合案例分析了蛋白质作为土壤污染评价指标的可行性及存在的问题,并对土壤宏蛋白质组学的发展进行展望.     

Soil pollution through industrial effluent and its management

During the survey of sewer water/industrial effluent composition, we identified a site at Sonepat that had turned barren due to excessive irrigation with cycle industry effluent. To study the ameliorative effect of farmyard manure, the bulk surface soil sample was brought from the site. Soil was amended with five levels of farmyard manure (0, 0.25, 0.5, 1.0, and 2.0% on a soil weight basis), and carrot, fenugreek, spinach, and wheat crops were grown as test crops in a screen house. The deleterious effect of excessive heavy metals, particularly Ni, on the yield of all the crops was reduced with the application of 2% farmyard manure. The Ni content was highest in carrot, followed by spinach, fenugreek, and wheat. With the application of 2% farmyard manure, Ni content was reduced from 434 to 267 mg/kg in carrot, 167 to 100 mg/kg in fenugreek, 300 to 166 mg/kg in spinach, and 65 to 42 mg/kg in wheat grain.     

The legacy of bacterial invasions on soil native communities

Soil microbial communities are often not resistant to the impact caused by microbial invasions, both in terms of structure and functionality, but it remains unclear whether these changes persist over time. Here, we used three strains of Escherichia coli O157:H7 (E. coli O157:H7), a species used for modelling bacterial invasions, to evaluate the resilience of the bacterial communities from four Chinese soils to invasion. The impact of E. coli O157:H7 strains on soil native communities was tracked for 120 days by analysing bacterial community composition as well as their metabolic potential. We showed that soil native communities were not resistant to invasion, as demonstrated by a decline in bacterial diversity and shifts in bacterial composition in all treatments. The resilience of native bacterial communities (diversity and composition) was inversely correlated with invader's persistence in soils (R² = 0.487, p < 0.001). Microbial invasions also impacted the functionality of the soil communities (niche breadth and community niche), the degree of resilience being dependent on soil or native community diversity. Collectively, our results indicate that bacteria invasions can potentially leave a footprint in the structure and functionality of soil communities, indicating the need of assessing the legacy of introducing exotic species in soil environments.     

Biosorptive removal of cadmium from contaminated groundwater and industrial effluents

The cadmium removing capacity of a biosorbent Calotropis procera, a perennial wild plant, is reported here. The biomass was found to possess high uptake capacity of Cd(II). Adsorption was pH dependent and the maximum removal was obtained at two different pH i.e. pH 5.0 and 8.0. Maximum biosorption capacity in batch and column mode was found to be 40 and 50.5 mg/g. The adsorption equilibrium (> or =90% removal) was attained within 5 min irrespective of the cadmium ion concentration. Interfering ions viz. Zn(II), As(III), Fe(II), Ni(II) interfered only when their concentration was higher than the equimolar ratio. The Freundlich isotherm best explained the adsorption, yet the monolayer adsorption was also noted at lower concentrations of Cd(II). The FTIR analysis indicates the involvement of hydroxyl (-OH), alkanes (-CH), nitrite (-NO(2)), and carboxyl group (-COO) chelates in metal binding. The complete desorption of the cadmium was achieved by 0.1M H(2)SO(4) and 0.1M HCl. The C. procera based Cd(II) removal technology appears feasible.