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Geochemical Niches of Iron-Oxidizing Acidophiles in Acidic Coal Mine Drainage

机译:酸性煤矿排水中铁氧化嗜酸菌的地球化学位

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A legacy of coal mining in the Appalachians has provided a unique opportunity to study the ecological niches of iron-oxidizing microorganisms. Mine-impacted, anoxic groundwater with high dissolved-metal concentrations emerges at springs and seeps associated with iron oxide mounds and deposits. These deposits are colonized by iron-oxidizing microorganisms that in some cases efficiently remove most of the dissolved iron at low pH, making subsequent treatment of the polluted stream water less expensive. We used full-cycle rRNA methods to describe the composition of sediment communities at two geochemically similar acidic discharges, Upper and Lower Red Eyes in Somerset County, PA, USA. The dominant microorganisms at both discharges were acidophilic Gallionella-like organisms, “Ferrovum” spp., and Acidithiobacillus spp. Archaea and Leptospirillum spp. accounted for less than 2% of cells. The distribution of microorganisms at the two sites could be best explained by a combination of iron(II) concentration and pH. Populations of the Gallionella-like organisms were restricted to locations with pH >3 and iron(II) concentration of >4 mM, while Acidithiobacillus spp. were restricted to pH <3 and iron(II) concentration of <4 mM. Ferrovum spp. were present at low levels in most samples but dominated sediment communities at pH <3 and iron(II) concentration of >4 mM. Our findings offer a predictive framework that could prove useful for describing the distribution of microorganisms in acid mine drainage, based on readily accessible geochemical parameters.
机译:阿巴拉契亚人的煤矿开采遗产为研究铁氧化微生物的生态位提供了独特的机会。矿山撞击的,高溶解金属浓度的缺氧地下水出现在与氧化铁丘和沉积物有关的泉水和渗水处。这些沉积物被铁氧化微生物定居,在某些情况下,这些微生物在低pH值下可有效去除大部分溶解的铁,从而使随后处理被污染的水流的成本降低。我们使用了全周期rRNA方法来描述美国宾夕法尼亚州萨默塞特郡的两个地球化学相似的酸性排放物上,下红眼的沉积物群落组成。两次排放中的主要微生物是嗜酸的加仑氏菌样生物,“铁蛋白”菌和酸性硫杆菌菌。古细菌和钩端螺旋体属。占不到细胞的2%。结合铁(II)浓度和pH可以最好地解释两个位置上微生物的分布。 Gallionella样生物的种群被限制在pH> 3和铁(II)浓度> 4 mM的位置,而酸性硫杆菌属spp。被限制在pH <3和铁(II)浓度<4 mM。 Ferrovum spp。在大多数样品中含量低,但在pH <3和铁(II)浓度> 4 mM时占主导的沉积物群落。我们的发现提供了一个可预测的框架,该框架基于易于获取的地球化学参数,可用于描述酸性矿山排水中的微生物分布。

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