The concentration and distribution of selenium species in near surface geologic and aquatic environments is strongly affected by microbial processes. Under aerobic and microaerophilic conditions, a wide variety of phylogentically distinct bacteria species have been shown to reduce Se(VI) and Se(IV) to form sparingly soluble elemental selenium. In order to quantify the geochemical impact of these microorganisms, accurate models must be developed to predict when these organisms will be active, and how rapidly they will reduce selenate and selenite. In this study, we quantified the kinetics of the selenate reduction reaction by soil microorganism Enterobacter cloacae and we identified the genes that control the selenate reduction process. The kinetics of selenate reduction by E. cloacae were examined using batch experiments as a function of pH, temperature, and cell density. Electron microscopy and X-ray diffraction were employed to determine the morphology and crystallinity of the reduction products. Finally, we used transposon mutagenesis to produce mutants that have loss the ability to reduce selenate, and we characterized some of these mutants. A rate law based on the Michaelis-Menten equation was developed to describe the selenate reduction kinetics over a range of pH conditions, temperatures, and cell densities. The reduction reaction formed nanoparticulate elemental selenium granules that were both excreted into solution and attached to the cell surface. Mutants constructed from transposon mutagenesis were unable to reduce selenate to Se but were still able to reduce selenite, demonstrating that the selenate and selenite reductases are distinct enzymes. The link between the genetics and geochemistry of microbial selenium oxyanion reduction will be discussed. New insights into the molecular mechanism of microbial metal respiration
MarR-like transcription factors synergistically regulate UzcRS activity by repressing the expression of the membrane proteins UzcY and UzcZ, which stimulate UzcRS activity and enhance its sensitivity to a more environmentally relevant U/Zn/Cu concentration range. Additionally, the membrane protein UzcX, whose expression is positively regulated by UzcR, provides a mechanism of feedback inhibition within the UzcRS circuit. Collectively, these data suggest that UzcRS functions as the core-signaling unit within a multicomponent signal transduction pathway that includes a diverse set of auxiliary regulators, providing further insight into the complexity of signaling networks.
The microbial communities are closely related to the overall health and quality of soil, but studies on microbial ecology in apple-pear orchard soils are limited. In the current study, 28 soil samples were collected from three apple-pear orchards in northeastern China, and the composition and structure of fungal and bacterial communities were investigated by high-throughput sequencing. Molecular ecological network showed that the keystone taxa of bacterial communities were Actinobacteria, Proteobacteria, Gemmatimonadetes, Acidobacteria, Nitrospirae, and Chloroflexi, and the keystone taxa of fungal communities was Ascomycota. Mantel tests showed that soil texture and pH were important factors shaping soil bacterial and fungal communities, and soil water soluble organic carbon (WSOC) and nitrate nitrogen (NO3--N) were also closely related to soil bacterial communities. Canonical correspondence analysis (CCA) and variation partition analysis (VPA) analysis revealed that geographic distance, soil texture, pH, and other soil properties could explain 10.55%, 13.5%, and 19.03% of the overall variation of bacterial communities, and they explained 11.61%, 13.03%, and 20.26% of the overall variation of fungal communities, respectively. The key stone taxa of bacterial and fungal communities in apple-pear orchard soils and their strong correlation with soil properties could provide useful clues toward sustainable management of orchards.
Molecular investigation of electron transfer mechanisms involved in microbial selenate reduction JINCAI MA, DONALD. Y. KOBAYASHI AND NATHAN YEE* Department of Environmental Sciences, Rutgers, The State University of New Jersey, New Brunswick NJ, USA (*correspondence: nyee@envsci.rutgers.edu) Department of Plant Biology & Pathology, Rutgers, The State University of New Jersey, New Brunswick NJ, USA (kobayashi@aesop.rutgers.edu)
Salmonella-contaminated well water could cause major infection outbreaks worldwide, thus, it is crucial to understand their persistence in those waters. In this study, we investigated the persistence of Salmonella enterica serovar Typhimurium in 15 well waters from a rural area of Changchun City, China. Results illustrated that the time to reach detection limit (ttd), first decimal reduction time (δ), and the shape parameter (p) ranged from 15 to 80 days, from 5.6 to 66.9 days, and from 0.6 to 6.6, respectively. Principal component analysis showed that ttds of S. Typhimurium were positively correlated with total organic carbon, pH, NH4+–N, and total phosphate. Multiple stepwise regression analysis revealed that ttds could be best predicted by NH4+–N and pH. Canonical correspondence analysis and variation partition analysis revealed that NH4+–N and pH, and the rest of the water parameters, could explain 27.60% and 28.15% of overall variation of the survival behavior, respectively. In addition, ttds were found to be correlated (p < 0.01) with δ and p. Our results showed that the longer survival (>2.5 months) S. Typhimurium could constitute an increased health risk to the local communities, and provided insights into the close linkage between well water quality and survival of S. Typhimurium.
Pathogens that invade into the soil cancontaminate food and water, andinfect animals and human beings. It is well documented that individual bacterial phyla are well correlated with the survival of E. coliO157 (EcO157), while the interaction betweenthe fungal communities and EcO157 survival remains largely unknown. In this study, soil samples from Tongliao, Siping, and Yanji in northeast China were collected and characterized. Total DNA was extracted for fungal and bacterial community characterization. EcO157 cells were spiked into the soils, and their survival behavior was investigated. Results showed that both fungal and bacterial communities were significantly correlated (p < 0.01) with the survival of EcO157 in soils, and the relative abundances of fungal groups (Dothideomycetes and Sordariomycetes) and some bacterial phyla (Acidobacteria, Firmicutes, gamma- and delta-Proteobacteria)weresignificantly correlated with ttds (p < 0.01). Soil pH, EC (electric conductance) salinity, and water-soluble nitrate nitrogen were significantly correlated with survival time (time to reach the detection limit, ttd) (p < 0.05). The structural equation model indicated that fungal communities could directly influence ttds, and soil properties could indirectly influence the ttds through fungal communities. The first log reduction time (δ) was mainly correlated with soil properties, while the shape parameter (p) was largely correlated with fungal communities. Our data indicated that both fungal and bacterial communities were closely correlated (p < 0.05)with the survival of EcO157 in soils, and different fungal and bacterial groups might play different roles. Fungal communities and bacterial communities explained 5.87% and 17.32% of the overall variation of survival parameters, respectively. Soil properties explained about one-third of the overall variation of survival parameters. These findings expand our current understanding of the environmental behavior of human pathogens in soils.
'/%3e%3cuse xlink:href='%23a' transform='rotate(23.036 .093 25.536)'/%3e%3cuse xlink:href='%23a' transform='rotate(45.87 1.273 16.18)'/%3e%3cuse xlink:href='%23a' transform='rotate(69.945 .996 12.078)'/%3e%3cuse xlink:href='%23a' transform='rotate(20.66 -19.689 31.932)'/%3e%3c/svg%3e)