6,069 research outputs found

    Carbon dioxide (CO2) utilizing strain database

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    Culling of excess carbon dioxide from our environment is one of the major challenges to scientific communities. Many physical, chemical and biological methods have been practiced to overcome this problem. The biological means of CO2 fixation using various microorganisms is gaining importance because database of their substantial role in reversing global warming. Carbon dioxide utilizing strain database (CSD) presents a comprehensive overview of microorganisms involved in biological fixation of carbon dioxide. As a part of this work, the wealth of information on CO2 utilizing strains was first collected and was then managed within four classes, that is, microorganisms, genus listing, mechanisms and literature. The first two classes consolidate information regarding the microbial genus and species, while the later two provide information regarding the CO2 fixing pathways and the taxonomic details of these organisms. The database also holds the current information about the issue. CSD can be used to gain information related to CO2 fixing microbes. It can also contribute to devising biological strategies for reducing carbon dioxide from the environment. It introduces an innovative idea of exploring the potential of these bacterial strains for reversing global warming. The CSD can be accessed at http://csd.igib.res.in.Key words: Carbon dioxide utilizing strain database (CSD), carbon dioxide, autotrophic microorganisms, global warming, biological fixation of CO2, CO2 fixing pathways

    Analysis of plant growth promoting potential of endophytes isolated from echinacea purpurea and lonicera japonica

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    Plant endophytes help in maintaining plant health by means of their biofertilizer and biocontrol attributes and, are currently being explored for their ability to produce novel biologically active compounds. Herein, we have isolated beneficial endophytic bacteria from Echinacea purpurea (EF.B3) and Lonicera japonica (LS.B11) that showed phosphate solubilization, siderophore, indole acetic acid and hydrogen cyanide production, and fixation of atmospheric nitrogen. Additionally, the endophytes also conferred antifungal activity against Fusarium sp., Rhizoctonia sp., Pythium sp. and Alternaria sp. When tested in plantae, the LS.B11 and EF.B3 strains were able to promote plant growth and control fungal infections in peaseedlings. Both strains were found to be endophytic as tested by RAPD and viability count. Based on 16S rRNA gene sequencing, we show that the LS.B11 and EF.B3 strains are related to Pseudomonas sp. And Burkholderia sp. By using degenerate primers, we identified genes related to polyketide synthases and non-ribosomal peptide synthetases in EF.B3 and LS.B11, respectively that are typically involved in the production of antimicrobial compounds. Therefore, we conclude that both endophytes can be used for increasing agriculture productivity and in the production of antimicrobial compounds for crop improvement

    Economic impact of dissemination of management strategies for sucking insect pests on transgenic cotton in Punjab, India

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    Integrated pest management (IPM) strategies for the management of sucking insect pests were disseminated in 36 villages of three districts of Punjab during 2008 to 2010. Adoption of IPM strategies led to reduction in the population of jassid, whitefly and mealybug in IPM villages. Mean population of jassid was 0.62 and 1.60 nymphs per three leaves, whitefly 1.11 and 2.53 adults per three leaves and mealybug 0.53 and 1.03 per 2.5 cm of central shoot in IPM and non-IPM villages, respectively. Mean population of spiders, chrysoperla, coccinellids and predatory bugs was 0.65, 0.13, 0.15 and 0.04 in IPM villages and 0.29, 0.09, 0.06 and 0.00 per plant in non-IPM villages, respectively. IPM strategies resulted in the 47.69 and 50.56 per cent reduction in number of spray and cost of spray in IPM villages over non-IPM villages. The average cost of cultivation was Rs. 21324 ha−1 in IPM villages, as compared to non-IPM villages (Rs. 23774.67 ha−1). Average seed cotton yield in IPM villages was 2333 kg ha−1 in comparison to non-IPM villages (1959.67 kg ha−1) and average net return in IPM villages was Rs. 57194 ha−1, which was Rs. 15709 more than non-IPM villages

    DYNAMIC TELEMETRY PROFILE ENFORCEMENT IN A CONTROLLER NETWORK

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    Because telemetry processing can involve high resource usage, such processing is typically provided via a cloud infrastructure. However, there are drawbacks to current implementations involving such cloud infrastructure processing. For example, such processing typically follows standard processing patterns. Yet, with the increasing complexity of different network use cases, there are scenarios that would benefit from dynamic telemetry processing. Presented herein are techniques through which multiple device telemetry profiles can allow a cloud controller to dynamically match a telemetry profile to specific conditions for a tenant network. Each telemetry profile may include selections for data processing through priority and secured queues. Additionally, the cloud controller may have reverse telemetry policies to push reverse telemetry to the customer edge when original usage telemetry data is retrieved, processed, and/or transferred

    The Next Generation Non-competitive Active Polyester Nanosystems for Transferrin Receptor-mediated Peroral Transport Utilizing Gambogic Acid as a Ligand

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    The current methods for targeted drug delivery utilize ligands that must out-compete endogenous ligands in order to bind to the active site facilitating the transport. To address this limitation, we present a non-competitive active transport strategy to overcome intestinal barriers in the form of tunable nanosystems (NS) for transferrin receptor (TfR) utilizing gambogic acid (GA), a xanthanoid, as its ligand. The NS made using GA conjugated poly(lactide-co-glycolide) (PLGA) have shown non-competitive affinity to TfR evaluated in cell/cell-free systems. The fluorescent PLGA-GA NS exhibited significant intestinal transport and altered distribution profile compared to PLGA NS in vivo. The PLGA-GA NS loaded with cyclosporine A (CsA), a model peptide, upon peroral dosing to rodents led to maximum plasma concentration of CsA at 6 h as opposed to 24 h with PLGA-NS with at least 2-fold higher levels in brain at 72 h. The proposed approach offers new prospects for peroral drug delivery and beyond
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