TAXONOMIC CHARACTERIZATION, ANTIMICROBIAL ACTIVITY AND ANTIOXIDANT POTENTIAL OF RARE ACTINOBACTERIUM ISOLATED FROM MANGROVE ECOSYSTEM OF MACHILIPATNAM, ANDHRAPRADESH, INDIA

Objective: The objective of the present study is to isolate, characterize the potent actinomycete strain from mangrove habitats of South coast of Andhra Pradesh (Machilipatnam), India. Methods: The samples collected from mangrove niches were pretreated with calcium carbonate, diluted, Plated on Starch casein agar, Humic acid vitamin agar and yeast extract malt extract dextrose (YMD) agar media to isolate actinomycetes. The three selective media were supplemented with clotrimazole (25 μg/mL) and streptomycin (25 μg/mL) to inhibit the growth of fungi and bacteria. Results: A total of ten actinobacterial strains were isolated and designated as VLCH-1 to VLCH-10. All of them were screened and evaluated for their antimicrobial and antioxidant properties. Among them, one strain VLCH-6 was found to be potent as it exhibited high antimicrobial potential and it was identified as Pseudonocardia parietis VLCH-6 through polyphasic taxonomy (GenBank accession number: MZ951166). The growth profile of the strain was studied by culturing it in YMD broth. The culture broth extracted with ethyl acetate was tested for antimicrobial assay and found to be active against Escherichia coli, Xanthomonas campestris and Aspergillus niger. The antioxidant potential of the strain VLCH-6 was evaluated by 2,2- diphenyl-2-picrylhydrazyl (DPPH) radical scavenging activity. In the screening, the culture extract exhibited strong antioxidant activity against DPPH free radicals. Conclusion: Over all, it was evident from the present study that mangrove habitats of Machilipatnam serve as a good source for potent actinomycetes possessing broad spectrum of antimicrobial and antioxidant metabolites

Delicious Multi Factor Admittance Web Based For Cloud Computing

We present another fine-grained two-factor authentication (2FA) get to control framework for electronic distributed computing administrations. In particular, in our proposed 2FA access control framework, a quality based access control instrument is actualized with the need of both a client secret key and a lightweight security gadget. As a client can't get to the framework on the off chance that they don't hold both, the instrument can upgrade the security of the framework, particularly in those situations where numerous clients share a similar PC for electronic cloud administrations. Likewise, trait based control in the framework additionally empowers the cloud server to limit the entrance to those clients with a similar arrangement of qualities while saving client security, i.e., the cloud server just realizes that the client satisfies the required predicate, yet has no clue on the correct personality of the client

Evaluation of Grasslands of Mahboobnagar District, Telangana State

Telangana state is gifted with rich livestock resources; 50.3 lakh cattle, 41.9 lakh buffaloes, 128.7 lakh sheep and 46.7 lakh goats ( Livestock census, 2012).The district of Mahboobnagar in this newly formed State is known for its huge cattle, sheep and goat population. The district ranks first in sheep (37, 30,689) and goat (6, 87,066) population among all districts of state, though ranks second and sixth in cattle and buffalo population, respectively (Live stock census, 2012). The most common sources of fodder to feed these livestock are crop residues (68%), forages from common property resources (CPRs) like forests, pastures and grazing lands (25%), cultivated fodders (3%) and other feeds such as concentrates etc contributes 4%. Though the area under fodder crops is significantly high in this district (24,153 ha), there is a wide gap between the demand and supply. The cultivated forage crops are fed inevitable to cattle while sheep and goat are often fed exclusively by grazing. Owing to \u3c 700 mm annual rainfall and aberrations in climate, the area under natural pastures and grasslands is shrinking; is just 17,560 ha population (LUP Report, 201314) which seldom supports huge sheep and goat. There is a need to identify and evaluate these grasslands for forage quality as these are the only source of fodder for sheep and goat in the district. Hence, a survey had been taken up to document the various plant species under grasslands along with nutritional evaluation

Evaluation of Grasses Raised through Sewage Water in Musi, Hyderabad

Growing of various crops utilizing sewage is a common scenario in many urban and sub-urban areas. The crops mostly include forage crops, leafy vegetables, vegetables and sometimes food grains. These sewage waters are known to contain undesirable constituents like heavy metals, pesticide residues besides, harmful pathogens. These undesirable components can make way very possibly from sewage to soils, plant parts; there by to even milk, thus entering into food chain. Musi, a tributary of Krishna on whose banks Hyderabad lays is the main fodder bank of the city. Thousand of hactares of land resembling vast grassland ecosystem is under cultivation of forage crops. Para grass (Bracharia mutica) is the dominant crop grown in and around Musi along with several other crops. So far the path of the undesirable factors in sewage into forage crops and thereby food chain is not studied. Hence, this work is emphasized to study the level of pesticide residues in soil, water and plant

Cellular, molecular and functional characterisation of YAC transgenic mouse models of Friedreich Ataxia

Copyright © 2014 Anjomani Virmouni et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.This article has been made available through the Brunel Open Access Publishing Fund.Background - Friedreich ataxia (FRDA) is an autosomal recessive neurodegenerative disorder, caused by a GAA repeat expansion mutation within intron 1 of the FXN gene. We have previously established and performed preliminary characterisation of several human FXN yeast artificial chromosome (YAC) transgenic FRDA mouse models containing GAA repeat expansions, Y47R (9 GAA repeats), YG8R (90 and 190 GAA repeats) and YG22R (190 GAA repeats). Methodology/Principal Findings - We now report extended cellular, molecular and functional characterisation of these FXN YAC transgenic mouse models. FXN transgene copy number analysis of the FRDA mice demonstrated that the YG22R and Y47R lines each have a single copy of the FXN transgene while the YG8R line has two copies. Single integration sites of all transgenes were confirmed by fluorescence in situ hybridisation (FISH) analysis of metaphase and interphase chromosomes. We identified significant functional deficits, together with a degree of glucose intolerance and insulin hypersensitivity, in YG8R and YG22R FRDA mice compared to Y47R and wild-type control mice. We also confirmed increased somatic GAA repeat instability in the cerebellum and brain of YG22R and YG8R mice, together with significantly reduced levels of FXN mRNA and protein in the brain and liver of YG8R and YG22R compared to Y47R. Conclusions/Significance - Together these studies provide a detailed characterisation of our GAA repeat expansion-based YAC transgenic FRDA mouse models that will help investigations of FRDA disease mechanisms and therapy.European Union, Ataxia UK and FARA

Generation and characterisation of Friedreich ataxia YG8R mouse fibroblast and neural stem cell models

This article has been made available through the Brunel Open Access Publishing Fund.Background: Friedreich ataxia (FRDA) is an autosomal recessive neurodegenerative disease caused by GAA repeat expansion in the first intron of the FXN gene, which encodes frataxin, an essential mitochondrial protein. To further characterise the molecular abnormalities associated with FRDA pathogenesis and to hasten drug screening, the development and use of animal and cellular models is considered essential. Studies of lower organisms have already contributed to understanding FRDA disease pathology, but mammalian cells are more related to FRDA patient cells in physiological terms. Methodology/Principal Findings: We have generated fibroblast cells and neural stem cells (NSCs) from control Y47R mice (9 GAA repeats) and GAA repeat expansion YG8R mice (190+120 GAA repeats). We then differentiated the NSCs in to neurons, oligodendrocytes and astrocytes as confirmed by immunocytochemical analysis of cell specific markers. The three YG8R mouse cell types (fibroblasts, NSCs and differentiated NSCs) exhibit GAA repeat stability, together with reduced expression of frataxin and reduced aconitase activity compared to control Y47R cells. Furthermore, YG8R cells also show increased sensitivity to oxidative stress and downregulation of Pgc-1α and antioxidant gene expression levels, especially Sod2. We also analysed various DNA mismatch repair (MMR) gene expression levels and found that YG8R cells displayed significant reduction in expression of several MMR genes, which may contribute to the GAA repeat stability. Conclusions/Significance: We describe the first fibroblast and NSC models from YG8R FRDA mice and we confirm that the NSCs can be differentiated into neurons and glia. These novel FRDA mouse cell models, which exhibit a FRDA-like cellular and molecular phenotype, will be valuable resources to further study FRDA molecular pathogenesis. They will also provide very useful tools for preclinical testing of frataxin-increasing compounds for FRDA drug therapy, for gene therapy, and as a source of cells for cell therapy testing in FRDA mice. © 2014 Sandi et al

Dynamic Facial Landmarking Selection for Emotion Recognition using Gaussian Processes

Facial features are the basis for the emotion recognition process and are widely used in affective computing systems. This emotional process is produced by a dynamic change in the physiological signals and the visual answers related to the facial expressions. An important factor in this process, relies on the shape information of a facial expression, represented as dynamically changing facial landmarks. In this paper we present a framework for dynamic facial landmarking selection based on facial expression analysis using Gaussian Processes. We perform facial features tracking, based on Active Appearance Models for facial landmarking detection, and then use Gaussian process ranking over the dynamic emotional sequences with the aim to establish which landmarks are more relevant for emotional multivariate time-series recognition. The experimental results show that Gaussian Processes can effectively fit to an emotional time-series and the ranking process with log-likelihoods finds the best landmarks (mouth and eyebrows regions) that represent a given facial expression sequence. Finally, we use the best ranked landmarks in emotion recognition tasks obtaining accurate performances for acted and spontaneous scenarios of emotional datasets

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Not AvailableA long-term field experiment was undertaken during the year 2019-20 (third year of the experiment) at college farm, AICRP on Integrated Farming Systems unit, PJTSAU, Hyderabad to evaluate productivity and profitability of cropping systems for different farming systems under irrigated situation on a sandy loam soil of Southern Telangana Zone (STZ), Telangana. Among the ten cropping systems evaluated, sweet corn – vegetable system (tomato) was found to be more remunerative with B:C ratio 3.30 followed by okra – marigold – beetroot system with B:C ratio 3.0. Among the ecological cropping systems for improving soil health, pigeonpea + greengram (1:7) –sesame cropping system recorded higher BC ratio (2.02) compared to Bt cotton + green gram (1:3) – groundnut cropping system (1.78). Out of the two systems evaluated to meet the household nutritional security, pigeon pea + groundnut (1:7) – fingermillet system recorded higher BC ratio (1.85) compared to pigeon pea + maize (1:3) – groundnut. Within the two fodder crops/cropping systems, fodder maize – lucerne system resulted in higher B:C ratio (1.65).Not Availabl

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Not AvailableThe present study was undertaken in the ongoing long-term experiment initiated during 2017 at experimental farm, College of Agriculture, Rajendranagar, Hyderabad. Soil samples collected from a depth of 0–15 cm was analysed for soil fertility parameters namely: available N, P and K. The results indicated that the different cropping systems had positive influence on improving the nutrient status (i.e., available N, P and K) significantly over the initial soil values (N: 112.20, P: 23.40 and K: 170.30 kg ha-1, respectively). These ten cropping systems were grouped in to five categories viz., pre-dominant cropping systems of the zone, ecological cropping systems, household nutritional security giving cropping systems, fodder security giving cropping systems and cropping systems involving high value crops. So that from each category, best cropping system can be identified and can be suggested to different integrated farming systems models. The maximum (221.60 and221.57 kg ha-1) soil available nitrogen was obtained in Pigeon pea + Greengram (1:3) – Sesame after harvest of kharif and rabi, available phosphorus builds up was profound in Fodder maize – Lucerne (48.27 kg ha-1) and available K (207.63 kg ha-1) was higher in Rice –Maize cropping system after harvest. Fodder crops recorded significantly higher NPK uptake over other cropping systems.Not Availabl

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