Vikram Kapoor

Distribution of human-specific bacteroidales and fecal indicator bacteria in an urban watershed impacted by sewage pollution, determined using RNA- and DNA-based quantitative PCR assays.

ABSTRACT The identification of fecal pollution sources is commonly carried out using DNA-based methods. However, there is evidence that DNA can be associated with dead cells or present as “naked DNA” in the environment. Furthermore, it has been shown that rRNA-targeted reverse transcription-quantitative PCR (RT-qPCR) assays can be more sensitive than rRNA gene-based qPCR assays since metabolically active cells usually contain higher numbers of ribosomes than quiescent cells. To this end, we compared the detection frequency of host-specific markers and fecal bacteria using RNA-based RT-qPCR and DNA-based qPCR methods for water samples collected in sites impacted by combined sewer overflows. As a group, fecal bacteria were more frequently detected in most sites using RNA-based methods. Specifically, 8, 87, and 85% of the samples positive for general enterococci, Enterococcus faecalis, and Enterococcus faecium markers, respectively, were detected using RT-qPCR, but not with the qPCR assay counterpart. On average, two human-specific Bacteroidales markers were not detected when using DNA in 12% of the samples, while they were positive for all samples when using RNA (cDNA) as the template. Moreover, signal intensity was up to three orders of magnitude higher in RT-qPCR assays than in qPCR assays. The human-specific Bacteroidales markers exhibited moderate correlation with conventional fecal indicators using RT-qPCR results, suggesting the persistence of nonhuman sources of fecal pollution or the presence of false-positive signals. In general, the results from this study suggest that RNA-based assays can increase the detection sensitivity of fecal bacteria in urban watersheds impacted with human fecal sources.

Effects of Cr(III) and Cr(VI) on nitrification inhibition as determined by SOUR, function-specific gene expression and 16S rRNA sequence analysis of wastewater nitrifying enrichments.

The effect of Cr(III) and Cr(VI) on nitrification was examined with samples from nitrifying enrichment cultures using three different approaches: by measuring substrate (ammonia) specific oxygen uptake rates (SOUR), by using RT-qPCR to quantify the transcripts of functional genes involved in nitrification, and by analysis of 16S rRNA sequences to determine changes in structure and activity of the microbial communities. The nitrifying bioreactor was operated as a continuous reactor with a 24 h hydraulic retention time. The samples were exposed in batch vessels to Cr(III) (10-300 mg/L) and Cr(VI) (1-30 mg/L) for a period of 12 h. There was considerable decrease in SOUR with increasing dosages for both Cr(III) and Cr(VI), however Cr(VI) was more inhibitory than Cr(III). Based on the RT-qPCR data, there was reduction in the transcript levels of amoA and hao for increasing Cr(III) dosage, which corresponded well with the ammonia oxidation activity measured via SOUR. For Cr(VI) exposure, there was comparatively little reduction in amoA expression while hao expression decreased for 1-3 mg/L Cr(VI) and increased at 30 mg/L Cr(VI). While Nitrosomonas spp. were the dominant bacteria in the bioreactor, based on 16S rRNA sequencing, there was a considerable reduction in Nitrosomonas activity upon exposure to 300 mg/L Cr(III). In contrast, a relatively small reduction in activity was observed at 30 mg/L Cr(VI) loading. Our data that suggest that both Cr(III) and Cr(VI) were inhibitory to nitrification at concentrations near the high end of industrial effluent concentrations.

Correlative Assessment of Fecal Indicators using Human Mitochondrial DNA as a Direct Marker

Identifying the source of surface water fecal contamination is paramount to mitigating pollution and risk to human health. Fecal bacteria such as E. coli have been staple indicator organisms for over a century, however there remains uncertainty with E. coli-based metrics since these bacteria are abundant in the environment. The relationships between the presence of direct indicator of human waste (human mitochondrial DNA), human-specific Bacteroidales, and E. coli were studied for water samples taken from an urban creek system (Duck Creek Watershed, Cincinnati, OH) impacted by combined sewer overflows. Logistic regression analysis shows that human-specific Bacteroidales correlates much more closely to human mitochondrial DNA (R = 0.62) relative to E. coli (R = 0.33). We also examine the speciation of Bacteroidales within the Duck Creek Watershed using next-generation sequencing technology (Ion Torrent) and show the most numerous populations to be associated with sewage. Here we demonstrate that human-specific Bacteroidales closely follow the dynamics of human mitochondrial DNA concentration changes, indicating that these obligate anaerobes are more accurate than E. coli for fecal source tracking, lending further support to risk overestimation using coliforms, especially fecal coliforms and E. coli.

Whole-Community Metagenomics in Two Different Anammox Configurations: Process Performance and Community Structure

Anaerobic ammonia oxidation (anammox) combined with partial nitritation (PN) is an innovative treatment process for energy-efficient nitrogen removal from wastewater. In this study, we used genome-based metagenomics to investigate the overall community structure and anammox species enriched in suspended growth (SGR) and attached growth packed-bed (AGR) anammox reactors after 220 days of operation. Both reactors removed more than 85% of the total inorganic nitrogen. Metagenomic binning and phylogenetic analysis revealed that two anammox population genomes, affiliated with the genus Candidatus Brocadia, were differentially abundant between the SGR and AGR. Both of the genomes shared an average nucleotide identify of 83%, suggesting the presence of two different species enriched in both of the reactors. Metabolic reconstruction of both population genomes revealed key aspects of their metabolism in comparison to known anammox species. The community composition of both the reactors was also investigated to identify the presence of flanking community members. Metagenomics and 16S rRNA gene amplicon sequencing revealed the dominant flanking community members in both reactors were affiliated with the phyla Anaerolinea, Ignavibacteria, and Proteobacteria. Findings from this research adds two new species, Ca. Brocadia sp. 1 and Ca. Brocadia sp. 2, to the genus Ca. Brocadia and sheds light on their metabolism in engineered ecosystems.

Candidatus Accumulibacter phosphatis clades enriched under cyclic anaerobic and microaerobic conditions simultaneously use different electron acceptors.

Lab- and pilot-scale simultaneous nitrification, denitrification and phosphorus removal-sequencing batch reactors were operated under cyclic anaerobic and micro-aerobic conditions. The use of oxygen, nitrite, and nitrate as electron acceptors by Candidatus Accumulibacter phosphatis during the micro-aerobic stage was investigated. A complete clade-level characterization of Accumulibacter in both reactors was performed using newly designed qPCR primers targeting the polyphosphate kinase gene (ppk1). In the lab-scale reactor, limited-oxygen conditions led to an alternated dominance of Clade IID and IC over the other clades. Results from batch tests when Clade IC was dominant (i.e., >92% of Accumulibacter) showed that this clade was capable of using oxygen, nitrite and nitrate as electron acceptors for P uptake. A more heterogeneous distribution of clades was found in the pilot-scale system (Clades IIA, IIB, IIC, IID, IA, and IC), and in this reactor, oxygen, nitrite and nitrate were also used as electron acceptors coupled to phosphorus uptake. However, nitrite was not an efficient electron acceptor in either reactor, and nitrate allowed only partial P removal. The results from the Clade IC dominated reactor indicated that either organisms in this clade can simultaneously use multiple electron acceptors under micro-aerobic conditions, or that the use of multiple electron acceptors by Clade IC is due to significant microdiversity within the Accumulibacter clades defined using the ppk1 gene.

Measuring nitrification inhibition by metals in wastewater treatment systems: Current state of science and fundamental research needs

Abstract Wastewater treatment is an important step within the water continuum as it reduces the risks associated with microorganisms as well as organic and inorganic compounds. From a chemical standpoint, treatment effectiveness is generally linked to carbon and nutrient (e.g., nitrogen, phosphorus) removal. A critical step in nitrogen removal is initiated by the conversion of ammonia to nitrate, a process that is carried out by nitrifying microorganisms. Nitrification is considered a key step as it removes the toxic effect of ammonia, while the resulting nitrate can be further converted into N2 gas (by autotrophic or heterotrophic nitrifying bacteria), which is not harmful to the environment. As nitrification is susceptible to a wide range of inhibitory substances, measuring the effect of potential inhibitors on nitrification rates is relevant to maintaining the performance of treatment plants. In this review we discuss the primary methods used to measure nitrification inhibition, their applications, and potential limitations. The authors also identify the research gaps that need to be addressed to better assess inhibition, with special attention on the effect of metals on nitrification in engineered wastewater treatment systems.

Trapping kinetics in high trap density silicon nitride insulators

An analytical method has been developed to investigate the trapping kinetics of multiple trap levels in a silicon nitride insulator under very complex conditions. Solutions for the trapped‐charge distribution are given for the case of a nonuniform single carrier current in an insulator having very strong charge trapping and various detrapping mechanisms such as Poole‐Frenkel emission or photoionization. The trapped‐charge distribution is given in terms of a series in the position and time variables, and is given for a single trap level, several trap levels, and an energy distribution of traps. In the more complex models, the series are terminated after a finite number of terms and are used to calculate the trapped‐charge centroid as a function of the total trapped charge. The trapped‐charge centroid calculations are shown to be useful for studying silicon nitride or other strong trapping insulating materials used for long term charge storage applications.

Sequencing Human Mitochondrial Hypervariable Region II as a Molecular Fingerprint for Environmental Waters

To protect environmental water from human fecal contamination, authorities must be able to unambiguously identify the source of the contamination. Current identification methods focus on tracking fecal bacteria associated with the human gut, but many of these bacterial indicators also thrive in the environment and in other mammalian hosts. Mitochondrial DNA could solve this problem by serving as a human-specific marker for fecal contamination. Here we show that the human mitochondrial hypervariable region II can function as a molecular fingerprint for human contamination in an urban watershed impacted by combined sewer overflows. We present high-throughput sequencing analysis of hypervariable region II for spatial resolution of the contaminated sites and assessment of the population diversity of the impacting regions. We propose that human mitochondrial DNA from public waste streams may serve as a tool for identifying waste sources definitively, analyzing population diversity, and conducting other anthropological investigations.

Engineering bacterial efflux pumps for solar-powered bioremediation of surface waters.

Antibiotics are difficult to selectively remove from surface waters by present treatment methods. Bacterial efflux pumps have evolved the ability to discriminately expel antibiotics and other noxious agents via proton and ATP driven pathways. Here, we describe light-dependent removal of antibiotics by engineering the bacterial efflux pump AcrB into a proteovesicle system. We have created a chimeric protein with the requisite proton motive force by coupling AcrB to the light-driven proton pump Delta-rhodopsin (dR) via a glycophorin A transmembrane domain. This creates a solar powered protein material capable of selectively capturing antibiotics from bulk solutions. Using environmental water and direct sunlight, our AcrB-dR vesicles removed almost twice as much antibiotic as the treatment standard, activated carbon. Altogether, the AcrB-dR system provides an effective means of extracting antibiotics from surface waters as well as potential antibiotic recovery through vesicle solubilization.

Inhibitory effect of cyanide on wastewater nitrification determined using SOUR and RNA‐based gene‐specific assays

The effect of cyanide (CN−) on nitrification was examined with samples from nitrifying bacterial enrichments using two different approaches: by measuring substrate (ammonia) specific oxygen uptake rates (SOUR), and by using RT‐qPCR to quantify the transcripts of functional genes involved in nitrification. The nitrifying bioreactor was operated as a continuous reactor with a 24 h hydraulic retention time. The samples were exposed in batch vessels to cyanide for a period of 12 h. The concentrations of CN− used in the batch assays were 0·03, 0·06, 0·1 and 1·0 mg l−1. There was considerable decrease in SOUR with increasing dosages of CN−. A decrease of more than 50% in nitrification activity was observed at 0·1 mg l−1 CN−. Based on the RT‐qPCR data, there was notable reduction in the transcript levels of amoA and hao for increasing CN− dosage, which corresponded well with the ammonia oxidation activity measured via SOUR. The inhibitory effect of cyanide may be attributed to the affinity of cyanide to bind ferric haeme proteins, which disrupt protein structure and function. The correspondence between the relative expression of functional genes and SOUR shown in this study demonstrates the efficacy of RNA‐based function‐specific assays for better understanding of the effect of toxic compounds on nitrification activity in wastewater.