Widespread use of antibiotics in livestock production can result in the dissemination of bacteria carrying antibiotic resistance genes (ARGs) to the broader environment. Within agroecosystems, ARGs can pose a risk to livestock handlers, farmers, and ultimately consumers. The overall goals of this dissertation are to examine the presence of resistance (antibiotic, metal) in agricultural soils and evaluate the most critical potential points of best management control of antibiotic resistance spread along the agricultural production chain. The relative impacts of agricultural practices, manure management, native soil microbiota, and type of crop grown and harvested on the agricultural resistome are multi-dimensional and cannot be captured via a single analytical technique or by focusing on one specific point in the agricultural process. Culture-, molecular "indicator"-, and next-generation sequencing- based methods were employed to characterize antibiotic resistance via taxonomic and functional profiles on the broader manure, soil, and vegetable surface microbial communities through 16S rRNA amplicon sequencing and shotgun metagenomics. Although antibiotic concentrations dissipated in the soil after 28 days after amendment application, antibiotic resistance presence was recoverable throughout the entire 120d growing season in the compost and manure amendments, the amended soil, and on vegetable surfaces. The addition of organic fertilizers increased antibiotic resistance presence compared to background levels. Further, metals and metal resistance were also measured in the amended soils and were found to be at greater levels in the inorganically fertilized soils compared to the manures and compost amended soils. Analysis of the widespread agroecosystem microbial community composition and broader metagenome has characterized varying genera profiles in the soil and on the vegetable surfaces and specific ARG and mobile genetic element (plasmid) co-occurrences. These co-occurrences highlight which ARGs may be most critical for future antibiotic resistance dissemination research. It is imperative to employ multiple methods when measuring agricultural resistance, as one method alone may miss significant patterns and lead to different best management recommendations. Linking the livestock manure, soil, and vegetable surface-associated ARBs, ARGs, resistomes, and microbiomes will help identify critical control points for mitigation of agricultural dissemination of antibiotic resistance to the environment and food production. / Doctor of Philosophy / By 2050, it is estimated that antibiotic resistant infections will be the leading cause of death worldwide. It is important to consider human, animal, and environmental health when researching antibiotic resistance, which is known as a "One Health" approach. In this dissertation work, I focus on the environmental side of antibiotic resistance in our agricultural systems. Agriculture is a known source of antibiotic resistance due to its use of antibiotics in livestock as a treatment for illness, and in some instances, as a growth promoter. Over one growing season, I measured antibiotic resistance in an agricultural setting using many techniques. First, I analyzed the effects of inorganic (chemical) versus organic (manure and compost) fertilization on antibiotic resistance in the soil. I measured antibiotic resistance by growing antibiotic resistant bacteria, quantifying specific antibiotic resistant genes (ARGs) using DNA amplification, and quantifying all the ARGs in the soil using a next-generation sequencing (NGS) technique called shotgun metagenomics. I found that adding manure to the soil increases ARGs compared to background soil levels, and that composting in an effective management strategy in decreasing ARGs in the soil over time. Second, I analyzed the same effects of fertilization on metal resistance in the soil. I was able to use the same NGS dataset to measure metal resistance genes (MRGs). I found that adding inorganic chemical fertilizer increases MRGs in the agricultural soils compared to the organic (manure or compost) fertilizer. Additionally, I studied the microbes that live in the agricultural soils using another kind of NGS data specific for microbial identification. I found that although there were small differences between the microbial populations in the soil when fertilizers were added, they returned to similar composition over the growing season. Lastly, I measured antibiotic resistance and microbes throughout the entire agricultural system. I picked the point of fertilization (manure management), soil, and the lettuce surface to evaluate if antibiotic resistance spreads from the farm to the vegetable that ends up on a consumer's plate. I found that at each point antibiotic resistance is present, but at different levels. Composting reduces ARGs compared to raw manure. Agricultural soils may act as a natural buffer to antibiotic resistance. Lettuce plants grown in compost fertilized soils have less ARGs than lettuce plants grown in manure. There are many agricultural management practices that effectively reduce antibiotic resistance and using all of them plus many measurement methods will ultimately help farmers and consumers reduce antibiotic resistance in our agricultural systems.

The rising number of antibiotic resistant bacteria (ARB) may introduce to the post antibiotic era because they cause a loss of the therapeutic potential of antibiotics. For many years the important role of the natural environment as reservoir and dissemination pathway for ARB and responsible genes has been largely overlooked. However, especially aquatic ecosystems provide optimal conditions for the antibiotic resistance (AR) evolution: first, aquatic ecosystems are frequently affected by anthropogenic activities that cause multiple pollutions for example with heavy metals, that potentially cause co-selection of antibiotic- and heavy metal resistance. Second, aquatic ecosystems feature a dissemination pathway between human populations and natural environments via the urban water cycle. Water cycles between human associated environments (e.g. house holds and clinics) via waste water through waste water treatment plants into natural ecosystems (e.g. water bodies) and back as drinking water after purification. Third, ecosystem internal biotic interactions such as competition between bacteria and predation by the natural consumers seem to impact AR evolution sustainably. The present doctoral thesis focuses on the impact of abiotic and biotic factors on the proliferation of AR and responsible genes in natural aquatic environments, with special emphasis on (i) heavy metal driven co-selection of antibiotic and heavy metal resistance and (ii) on the impact of competition and predation on the evolution of AR. In order to quantify the risk of heavy metal driven co-selection for AR spread, I provide a first risk assessment based on literature values of environmental heavy metal loadings and related AR. Additionally, I developed a limit value named minimum co-selective concentration (MCC), which is the lowest concentration of a heavy metal that can potentially cause coselection in nature. It turned out that Cu, Zn, Ni, Hg, and Cd are suspected to be the main co-selecting heavy metals in the aquatic environment. I further investigated heavy metal driven co-selection of AR in a river ecosystem, the Western Bug River (Ukraine). I found indications for co-selection of resistance to five antibiotics (ciprofloxacin, gentamicin, amikacin, tobramycin, and cefepime) and two metals (Ni and Cd) caused by Ni- and Cd-levels. Both metals exceed their MCC for water samples and Cd additionally in sediments. As a second focal point the present work emphasis on ecological interactions effecting AR evolution. Currently three possible effects of ecological interactions on AR spread are discussed. First, environmental antibiotic levels are rather low, however they might favour ARB due to a competitive advantage. The reason is that even sublethal antibiotic levels reduce the growth of sensitive bacteria while resistant cells remain unaffected by the antibiotic action. Second, predation by protozoa is believed to impact conjugation between prey bacteria (and thus the transfer of DNA and potential resistance genes) by keeping bacteria in a growing stage that favours conjugation. Third, in order to escape predation by protozoa, bacteria evolved grazing defence mechanisms such as the formation of inedible biofilms, which can feedback on the evolution of AR. With an ordinary differential equation model, I tested the effect of low antibiotic levels and losses (e.g. due to predation) on the proliferation of ARB in a modelled planktonic system. In case that the model contains the mechanism that conjugation frequencies are highest during exponential growth, I found that (i) (grazing) losses enhance conjugation frequencies between bacteria and that (ii) medium levels of antibiotics and (grazing) losses favour resistant cells in the competition to sensitive bacteria. Biofilms are thought to be \'hot spots\' for conjugation but some plasmids have lower conjugation frequencies in biofilms compared to planktonic systems. As a first step, in order to discover predation effects on plasmid spread in plankton - biofilm systems I investigated grazing resistance of bacteria in grazing experiments. Both plankton and biofilm phenotypes were consumed, when exposed to their specialized grazer (either plankton-feeder or biofilmfeeder), whereas the other phenotype remained grazing-resistant and thus became the dominant prey type. Both predators together effectively control planktonic and biofilm prey. With regards to the spread of AR-genes via conjugation, I speculate that the feeding preference of the present predator can affect the invasion success of resistance plasmids in planktonic - biofilm systems. For dynamic systems, I assume that dynamics of predator and prey traits (plankton vs. biofilm-feeder and biofilm vs. planktonic prey) will lead to dynamics of conjugation frequencies in planktonic or biofilm bacteria. I assume that conjugation events are more frequent in the dominant prey type (plankton or biofilm). However, other factors such as pili-type of the plasmid (short and rigid pili, prefers conjugation in biofilms or long and flexible pili, prefers conjugation in plankton) might additionally influence plasmid invasion success in plankton - biofilm morphotypes.

CnrX est un senseur périplasmique, ancré à la membrane, appartenant au complexe CnrYXH qui contribue à réguler l'expression des gènes impliqués dans la résistance au nickel et au cobalt chez Cupriavidus metallidurans CH34. La résistance est induite par la libération de CnrH, un facteur sigma de type ECF (Extracytoplasmic Function), par le complexe CnrYX en réponse à Ni et Co. Nous avons cherché à comprendre la manière dont CnrXs, le domaine senseur de CnrX, détecte les ions métalliques, les stratégies utilisées pour sélectionner spécifiquement Ni ou Co ainsi que la nature du signal engendré par cette interaction. Les techniques spectroscopiques et biophysiques telles que l'UV-visible, la RPE, le XAS et l'ITC ont permis d'étudier les sites métalliques en solution. Le dimère de CnrXs possède quatre sites de liaison au cobalt. Deux des sites (sites F) sont retrouvés dans la protéine entière dont nous avons maintenant un excellent modèle avec le mutant CnrXs-H32A. Les deux autres sites (sites E) ont un signal spectroscopique atypique probablement dû à la formation d'un complexe binucléaire de cobalt. Nous présentons également des structures à haute résolution de CnrXs dans ses formes apo et métallées par le nickel, cobalt ou zinc. Nous avons établi que la forme zinc est la forme inactive de la protéine et que le mécanisme de détection est engendrée par la substitution du zinc par le nickel et le cobalt dans le site F, conduisant à une modification majeure du site de liaison au métal. Tandis que le zinc est pentacoordiné dans une sphère 3N2O, Ni et Co recrutent le soufre de la seule méthionine (Met123) comme sixième ligand pour former un site octaédrique. Nous suggérons que Met123 soit l'interrupteur moléculaire dont la liaison avec le métal fait évoluer la structure de la protéine vers une conformation active. A notre connaissance, ces résultats constituent la première étude structurale et spectroscopique d'un senseur de métal périplasmique impliqué dans un système de transduction du signal dépendant d'un facteur sigma de type ECF. / CnrX is the membrane-anchored periplasmic sensor of the CnrYXH complex that contributes to regulate the expression of the genes involved in cobalt and nickel resistance in Cupriavidus metallidurans CH34. This resistance is induced by the release of the ExtraCytoplasmic Function (ECF) sigma factor CnrH from the CnrYX complex upon sensing of Ni or Co. We addressed the metal sensing mechanisms of CnrXs, the strategies used to select Ni or Co and the nature of the signal onset. Biophysical and spectroscopic techniques allowed us to study the metal binding sites in solution. The CnrXs dimer contains four cobalt binding sites. Two (F sites) are present in the full-length protein which H32A-CnrXs mutant is an excellent model of. The two other sites have an unusual spectroscopic signal that might be due to the formation of a binuclear cobalt complex. We present also high-resolution structures of CnrXs in the apo, Ni-, Co-, and Zn-bound forms. We propose that Zn-bound CnrX typifies the resting state of the complex and that the sensing mechanism is triggered by the substitution of Zn for Ni or Co in the F site. This substitution leads to dramatic changes in the metal-binding site. While the Zn ion is pentacoordinated in a 3N2O sphere, Ni or Co ions recruit the thioether sulfur of the only methionine (Met123) residue as a sixth ligand to form an octahedral site. We propose that the Met123 side chain recruitment is the qualitative change that switches on the sensing mechanism by remodeling the four-helix bundle that accommodates the metal-binding site. To our knowledge these results represent the first structural and spectroscopic study of a periplasmic metal sensor involved in transmembrane signal transduction for the activation of an ECF-type sigma factor.

Submitted by Ricardo Cedraz Duque Moliterno (ricardo.moliterno@uefs.br) on 2015-11-12T01:11:08Z No. of bitstreams: 1 Disserta??o Adriana Fidelis - Vers?o Definitiva.pdf: 9437752 bytes, checksum: f708082e56eba193c45496d67cab5993 (MD5) / Made available in DSpace on 2015-11-12T01:11:08Z (GMT). No. of bitstreams: 1 Disserta??o Adriana Fidelis - Vers?o Definitiva.pdf: 9437752 bytes, checksum: f708082e56eba193c45496d67cab5993 (MD5) Previous issue date: 2013-03-13 / Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior - CAPES / In the 1960? the mining company Plumbum Mineradora was installed in the Satate of Bahia, Brazil. This company, which produced lead ingots for 33 years, left over 400,000 tons of slag, which contained, among other pollutants, cadmium and lead. These metals are currently found in the soil surrounding the old factory, in concentrations considered highly toxic. A study was started to investigate possible bioremediation in the area with the isolation of bacteria from the rhizosphere of local plants, followed by the test in their performance in metals contaminant tolerance. Finally, identification of the bacteria was made based on molecular marker 16S rRNA. The isolation protocol was carry out using Nutrient Agar and after obtaining a pure culture. The isolates were then subjected to tests of Minimum Inhibitory Concentration (CIM). Each isolate served as a source for extraction of DNA for molecular analysis with 16S rRNA region. Among the rhizospheres collected, those from which the greatest number of species were isolated from plants with a perennial habit, among them the castor bean (Ricinus communis L.) and emba?ba (Cecropia pachystachya Tr?cul) which together comprised approximately 38% of all species of bacteria obtained. Interestingly, from the castor bean (an exotic plant in Brazil), 2/3 of the bacteria were Gram negative, while from the emba?ba (a native plant of Brazil), ? of the bacteria isolated were of Gram positive. Regardless of the classification of Gram, the bacteria studied showed higher tolerance to lead; 70% of Gram negative bacteria showed conspicuous morphological changes, whereas of those that were Gram positive, only 13% demonstrated. In addition, these bacteria have been identified by molecular analysis using the 16S rRNA marker. The used methodology based on analysis of parsimony and distance trees. As a result, the region 16S was able to identify only 22% of species while the remain species could only be identified to genus or to infra-generic groups. Therefore, the data suggest that the Gram negative and Gram positive bacteria have distinct mechanisms of adaptation in environments polluted by lead and cadmium and that the 16S region is not an efficient universal barcode marker, which should be used only as the first step on the identification of bacteria. Although this study does not provide a final parameter for ecological factors under consideration here, it provides an insight into the influence of the plant habitat on bacterial communites, and the role of Gram in the mechanisms of tolerance. It is hope to explore these aspects in the further studies. / Na d?cada de 60, a empresa de minera??o Plumbum Mineradora foi instalada no Estado da Bahia, Brasil. Esta empresa, a qual produziu lingotes de chumbo por 33 anos, deixou mais de 400.000 toneladas de esc?ria, a qual continha, dentre outros poluentes, c?dmio e chumbo. Estes metais s?o, atualmente, encontrados no solo do entorno das antigas instala??es da f?brica, em concentra??es consideradas altamente t?xicas. Este estudo come?ou a investigar a biorremedia??o da ?rea com o isolamento de bact?rias das rizosferas de plantas locais, seguido por testar a toler?ncia das bact?rias a esses metais. Finalmente, a identifica??o de bact?rias foi feita baseada no marcador molecular 16S rRNA. O protocolo de isolamento foi realizado em meio de Agar Nutriente e ap?s a obten??o de cultura pura, os isolados foram submetidos a testes de Concentra??o Inibit?ria M?nima (CIM). Cada isolado serviu de fonte para extra??es de DNA para an?lise molecular com a regi?o 16S rRNA. Dentre as rizosferas coletadas, as que mais se destacaram em rela??o a quantidade de esp?cies isoladas foram as plantas de h?bito perene, dentre elas, a mamona (Ricinus comunis L.) e a emba?ba (Cecropia pachystachya Tr?cul), que abrigaram juntas aproximadamente 38% de todas as esp?cies de bact?rias obtidas. Interessante notar que da mamona (uma planta ex?tica no Brasil), 2/3 das bact?rias foram Gram negativas, enquanto que da emba?ba (uma planta nativa do Brasil), 3/4 das bact?rias isoladas foram Gram positivas. Independentemente da classifica??o do Gram, as bact?rias apresentaram maior resist?ncia ao chumbo; 70% das Gram negativas apresentaram mudan?as morfol?gicas acentuadas, enquanto que estas, nas Gram positivas, manifestaram-se em apenas 13%. Al?m disso, estas bact?rias foram identificadas por meio de an?lise molecular, com o uso do marcador 16S rRNA. A metodologia usada foi baseada em an?lise de ?rvores de parcim?nia e dist?ncia. Como resultado, a regi?o 16S foi capaz de identificar 22% das esp?cies, enquanto que para o restante mostrou-se eficiente para classifica??o at? g?nero ou para agrupamentos infragen?ricos. Portanto, os dados sugerem que as bact?rias Gram negativas e Gram positivas possuem mecanismos de adapta??es distintos em ambientes polu?dos por chumbo e c?dmio e que a regi?o 16S n?o ? eficiente como marcador universal tipo ?c?digo de barras?, o qual deve ser utilizado apenas como a primeira ferramenta de identifica??o de bact?rias isoladas. Apesar deste estudo n?o servir como par?metro definitivo para considera??es ecol?gicas, ele fornece conhecimento sobre a influ?ncia do h?bito da planta sobre a comunidade bacteriana e o papel da estrutura morfol?gica das bact?rias (Gram) nos mecanismos de toler?ncia. Espera-se que estes dados possam ser explorados em estudos posteriores.

No description available.

Anthropogenic activities generate waste products that pollute the environment with bacteria and heavy metals. This research assessed pollution of the Kahwa River, Bukavu Town, DRC with cadmium and lead (HMs) and bacterial enteropathogens. A survey of businesses, households and healthcare facilities showed general use of the river to remove effluent and waste. Indicator organisms were cultured at over 200 cfu/100 ml showing faecal contamination of the river water. Antibiotic resistance was shown by enteropathogenic Vibrio cholerae and Salmonella typhi to ampicillin and cotrimoxazole with some sensitivity shown to ciprofloxacin. River water contained HMs at around 40 times the World Health Organisation limit for drinking water. The bacteria, particularly from river sediment, tolerated HMs up to a concentration of 1.5 mg/ml. The presence in the Kahwa River of antibiotic-resistant pathogens showing tolerance to HMs has serious public health implications / Environmental Management / M.Sc. (Environmental management)

Anthropogenic activities generate waste products that pollute the environment with bacteria and heavy metals. This research assessed pollution of the Kahwa River, Bukavu Town, DRC with cadmium and lead (HMs) and bacterial enteropathogens. A survey of businesses, households and healthcare facilities showed general use of the river to remove effluent and waste. Indicator organisms were cultured at over 200 cfu/100 ml showing faecal contamination of the river water. Antibiotic resistance was shown by enteropathogenic Vibrio cholerae and Salmonella typhi to ampicillin and cotrimoxazole with some sensitivity shown to ciprofloxacin. River water contained HMs at around 40 times the World Health Organisation limit for drinking water. The bacteria, particularly from river sediment, tolerated HMs up to a concentration of 1.5 mg/ml. The presence in the Kahwa River of antibiotic-resistant pathogens showing tolerance to HMs has serious public health implications / Environmental Management / M.Sc. (Environmental management)

The goal of this project was to develop novel bacterial biomarkers for use in an industrial context. These biomarkers would be used to determine aluminium industry activity impact on a local ecosystem. Sediment bacterial communities of the Saguenay River are subjected to industrial effluent produced by industry in Jonquière, QC. In-situ responses of these communities to effluent exposure were measured and evaluated as potential biomarker candidates for exposure to past and present effluent discharge. Bacterial community structure and composition between control and affected sites were investigated. Differences observed between the communities were used as indicators of a response to industrial activity through exposure to effluent by-products. Diversity indices were not significantly different between sites with increased effluent exposure. However, differences were observed with the inclusion of algae and cyanobacteria. UniFrac analyses indicated that a control (NNB) and an affected site (Site 2) were more similar to one another with regard to community structure than either was to a medially affected site (Site 5) (Figure 2.4). We did not observe a signature of the microbial community structure that could be predicted with effluent exposure. Microbial community function in relation to bacterial mercury resistance (HgR) was also evaluated as a specific response to the mercury component present in sediments. Novel PCR primers and amplification conditions were developed to amplify merP, merT and merA genes belonging to the mer-operon which confers HgR (Table 5.6). To our knowledge, the roles of merP and merT have not been explored as possible tools to confirm the presence of the operon. HgR gene abundance in sediment microbial communities was significantly correlated (p < 0.05) to total mercury levels (Figure 3.4) but gene expression was not measurable. We could not solely attribute the release of Hg0 from sediments in bioreactor experiments to a biogenic origin. However, there was a 1000 fold difference in measured Hg0 release between control and affected sites suggesting that processes of natural remediation may be taking place at contaminated sites (Figure 3.7). Abundance measurements of HgR related genes represent a strong response target to the mercury immobilized in sediments. Biomarkers built on this response can be used by industry to measure long term effects of industrially derived mercury on local ecosystems. The abundance of mer-operon genes in affected sites indicates the presence of a thriving bacterial community harbouring HgR potential. These communities have the capacity to naturally remediate the sites they occupy. This remediation could be further investigated. Additional studies will be required to develop biomarkers that are more responsive to contemporary industrial activity such as those based on the integrative oxidative stress response.

The goal of this project was to develop novel bacterial biomarkers for use in an industrial context. These biomarkers would be used to determine aluminium industry activity impact on a local ecosystem. Sediment bacterial communities of the Saguenay River are subjected to industrial effluent produced by industry in Jonquière, QC. In-situ responses of these communities to effluent exposure were measured and evaluated as potential biomarker candidates for exposure to past and present effluent discharge. Bacterial community structure and composition between control and affected sites were investigated. Differences observed between the communities were used as indicators of a response to industrial activity through exposure to effluent by-products. Diversity indices were not significantly different between sites with increased effluent exposure. However, differences were observed with the inclusion of algae and cyanobacteria. UniFrac analyses indicated that a control (NNB) and an affected site (Site 2) were more similar to one another with regard to community structure than either was to a medially affected site (Site 5) (Figure 2.4). We did not observe a signature of the microbial community structure that could be predicted with effluent exposure. Microbial community function in relation to bacterial mercury resistance (HgR) was also evaluated as a specific response to the mercury component present in sediments. Novel PCR primers and amplification conditions were developed to amplify merP, merT and merA genes belonging to the mer-operon which confers HgR (Table 5.6). To our knowledge, the roles of merP and merT have not been explored as possible tools to confirm the presence of the operon. HgR gene abundance in sediment microbial communities was significantly correlated (p < 0.05) to total mercury levels (Figure 3.4) but gene expression was not measurable. We could not solely attribute the release of Hg0 from sediments in bioreactor experiments to a biogenic origin. However, there was a 1000 fold difference in measured Hg0 release between control and affected sites suggesting that processes of natural remediation may be taking place at contaminated sites (Figure 3.7). Abundance measurements of HgR related genes represent a strong response target to the mercury immobilized in sediments. Biomarkers built on this response can be used by industry to measure long term effects of industrially derived mercury on local ecosystems. The abundance of mer-operon genes in affected sites indicates the presence of a thriving bacterial community harbouring HgR potential. These communities have the capacity to naturally remediate the sites they occupy. This remediation could be further investigated. Additional studies will be required to develop biomarkers that are more responsive to contemporary industrial activity such as those based on the integrative oxidative stress response.

The goal of this project was to develop novel bacterial biomarkers for use in an industrial context. These biomarkers would be used to determine aluminium industry activity impact on a local ecosystem. Sediment bacterial communities of the Saguenay River are subjected to industrial effluent produced by industry in Jonquière, QC. In-situ responses of these communities to effluent exposure were measured and evaluated as potential biomarker candidates for exposure to past and present effluent discharge. Bacterial community structure and composition between control and affected sites were investigated. Differences observed between the communities were used as indicators of a response to industrial activity through exposure to effluent by-products. Diversity indices were not significantly different between sites with increased effluent exposure. However, differences were observed with the inclusion of algae and cyanobacteria. UniFrac analyses indicated that a control (NNB) and an affected site (Site 2) were more similar to one another with regard to community structure than either was to a medially affected site (Site 5) (Figure 2.4). We did not observe a signature of the microbial community structure that could be predicted with effluent exposure. Microbial community function in relation to bacterial mercury resistance (HgR) was also evaluated as a specific response to the mercury component present in sediments. Novel PCR primers and amplification conditions were developed to amplify merP, merT and merA genes belonging to the mer-operon which confers HgR (Table 5.6). To our knowledge, the roles of merP and merT have not been explored as possible tools to confirm the presence of the operon. HgR gene abundance in sediment microbial communities was significantly correlated (p < 0.05) to total mercury levels (Figure 3.4) but gene expression was not measurable. We could not solely attribute the release of Hg0 from sediments in bioreactor experiments to a biogenic origin. However, there was a 1000 fold difference in measured Hg0 release between control and affected sites suggesting that processes of natural remediation may be taking place at contaminated sites (Figure 3.7). Abundance measurements of HgR related genes represent a strong response target to the mercury immobilized in sediments. Biomarkers built on this response can be used by industry to measure long term effects of industrially derived mercury on local ecosystems. The abundance of mer-operon genes in affected sites indicates the presence of a thriving bacterial community harbouring HgR potential. These communities have the capacity to naturally remediate the sites they occupy. This remediation could be further investigated. Additional studies will be required to develop biomarkers that are more responsive to contemporary industrial activity such as those based on the integrative oxidative stress response.