Ramanathan Bhargavi, Boddicker Andrew M, Roane Timberley M, Mosier Annika C
Department of Integrative Biology, University of Colorado Denver, Denver, CO, United States.
Front Microbiol. 2017 Nov 7;8:2136. doi: 10.3389/fmicb.2017.02136. eCollection 2017.
Extremely acidic and metal-rich acid mine drainage (AMD) waters can have severe toxicological effects on aquatic ecosystems. AMD has been shown to completely halt nitrification, which plays an important role in transferring nitrogen to higher organisms and in mitigating nitrogen pollution. We evaluated the gene abundance and diversity of nitrifying microbes in AMD-impacted sediments: ammonia-oxidizing archaea (AOA), ammonia-oxidizing bacteria (AOB), and nitrite-oxidizing bacteria (NOB). Samples were collected from the Iron Springs Mining District (Ophir, CO, United States) during early and late summer in 2013 and 2014. Many of the sites were characterized by low pH (<5) and high metal concentrations. Sequence analyses revealed AOA genes related to , , and ; AOB genes related to and ; and NOB genes related to . The overall abundance of AOA, AOB and NOB was examined using quantitative PCR (qPCR) amplification of the and functional genes and 16S rRNA genes. Gene copy numbers ranged from 3.2 × 10 - 4.9 × 10 archaeal copies ∗ μg DNA, 1.5 × 10 - 5.3 × 10 AOB 16S rRNA copies ∗ μg DNA, and 1.3 × 10 - 7.7 × 10 copies ∗ μg DNA. Overall, genes were found to be more abundant than AOB 16S rRNA and archaeal genes in most of the sample sites across 2013 and 2014. AOB 16S rRNA and genes were quantified in sediments with pH as low as 3.2, and AOA genes were quantified in sediments as low as 3.5. Though pH varied across all sites (pH 3.2-8.3), pH was not strongly correlated to the overall community structure or relative abundance of individual OTUs for any gene (based on CCA and Spearman correlations). pH was positivity correlated to the total abundance (qPCR) of AOB 16S rRNA genes, but not for any other genes. Metals were not correlated to the overall nitrifier community composition or abundance, but were correlated to the relative abundances of several individual OTUs. These findings extend our understanding of the distribution of nitrifying microbes in AMD-impacted systems and provide a platform for further research.
极其酸性且富含金属的酸性矿山排水(AMD)水体可对水生生态系统产生严重的毒理学影响。已表明AMD能完全阻止硝化作用,而硝化作用在将氮转移至高等生物以及减轻氮污染方面发挥着重要作用。我们评估了受AMD影响的沉积物中硝化微生物的基因丰度和多样性:氨氧化古菌(AOA)、氨氧化细菌(AOB)和亚硝酸盐氧化细菌(NOB)。2013年和2014年的初夏和夏末期间,从铁泉矿区(美国科罗拉多州奥菲尔)采集了样本。许多采样点的特征是低pH值(<5)和高金属浓度。序列分析揭示了与 、 和 相关的AOA基因;与 和 相关的AOB基因;以及与 相关的NOB基因。使用 和 功能基因以及16S rRNA基因的定量PCR(qPCR)扩增来检测AOA、AOB和NOB的总体丰度。基因拷贝数范围为3.2×10 - 4.9×10古菌 拷贝∗μg DNA、1.5×10 - 5.3×10 AOB 16S rRNA拷贝∗μg DNA以及1.3×10 - 7.7×10 拷贝∗μg DNA。总体而言,在2013年和2014年的大多数采样点,发现 基因比AOB 16S rRNA和古菌 基因更为丰富。在pH低至3.2的沉积物中对AOB 16S rRNA和 基因进行了定量,在pH低至3.5的沉积物中对AOA 基因进行了定量。尽管所有采样点的pH值有所不同(pH 3.2 - 8.3),但pH与任何基因的总体群落结构或单个OTU的相对丰度均无强烈相关性(基于CCA和Spearman相关性)。pH与AOB 16S rRNA基因的总丰度(qPCR)呈正相关,但与其他任何基因均无此相关性。金属与硝化微生物群落的总体组成或丰度无关,但与几个单个OTU的相对丰度相关。这些发现扩展了我们对受AMD影响系统中硝化微生物分布的理解,并为进一步研究提供了一个平台。