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  1. Article: Pattern recognition in legume lectins to extrapolate amino acid variability to sugar specificity.

    Grandhi, Nisha Jayaprakash / Mamidi, Ashalatha Sreshty / Surolia, Avadhesha

    Advances in experimental medicine and biology

    2015  Volume 842, Page(s) 199–215

    MeSH term(s) Algorithms ; Amino Acids/chemistry ; Amino Acids/genetics ; Amino Acids/metabolism ; Binding Sites ; Carbohydrates/chemistry ; Cluster Analysis ; Databases, Protein ; Fabaceae/classification ; Fabaceae/genetics ; Fabaceae/metabolism ; Lectins/chemistry ; Lectins/genetics ; Lectins/metabolism ; Models, Molecular ; Plant Proteins/chemistry ; Plant Proteins/genetics ; Plant Proteins/metabolism ; Protein Binding ; Protein Folding ; Protein Structure, Secondary ; Protein Structure, Tertiary
    Chemical Substances Amino Acids ; Carbohydrates ; Lectins ; Plant Proteins
    Language English
    Publishing date 2015
    Publishing country United States
    Document type Journal Article
    ISSN 2214-8019 ; 0065-2598
    ISSN (online) 2214-8019
    ISSN 0065-2598
    DOI 10.1007/978-3-319-11280-0_13
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Environmental monitoring of bacterial contamination and antibiotic resistance patterns of the fecal coliforms isolated from Cauvery River, a major drinking water source in Karnataka, India.

    Skariyachan, Sinosh / Mahajanakatti, Arpitha Badarinath / Grandhi, Nisha Jayaprakash / Prasanna, Akshatha / Sen, Ballari / Sharma, Narasimha / Vasist, Kiran S / Narayanappa, Rajeswari

    Environmental monitoring and assessment

    2015  Volume 187, Issue 5, Page(s) 279

    Abstract: The present study focuses prudent elucidation of microbial pollution and antibiotic sensitivity profiling of the fecal coliforms isolated from River Cauvery, a major drinking water source in Karnataka, India. Water samples were collected from ten ... ...

    Abstract The present study focuses prudent elucidation of microbial pollution and antibiotic sensitivity profiling of the fecal coliforms isolated from River Cauvery, a major drinking water source in Karnataka, India. Water samples were collected from ten hotspots during the year 2011-2012. The physiochemical characteristics and microbial count of water samples collected from most of the hotspots exhibited greater biological oxygen demand and bacterial count especially coliforms in comparison with control samples (p ≤ 0.01). The antibiotic sensitivity testing was performed using 48 antibiotics against the bacterial isolates by disk-diffusion assay. The current study showed that out of 848 bacterial isolates, 93.51% (n = 793) of the isolates were found to be multidrug-resistant to most of the current generation antibiotics. Among the major isolates, 96.46% (n = 273) of the isolates were found to be multidrug-resistant to 30 antibiotics and they were identified to be Escherichia coli by 16S rDNA gene sequencing. Similarly, 93.85% (n = 107), 94.49% (n = 103), and 90.22% (n = 157) of the isolates exhibited multiple drug resistance to 32, 40, and 37 antibiotics, and they were identified to be Enterobacter cloacae, Pseudomonas trivialis, and Shigella sonnei, respectively. The molecular studies suggested the prevalence of bla TEM genes in all the four isolates and dhfr gene in Escherichia coli and Sh. sonnei. Analogously, most of the other Gram-negative bacteria were found to be multidrug-resistant and the Gram-positive bacteria, Staphylococcus spp. isolated from the water samples were found to be methicillin and vancomycin-resistant Staphylococcus aureus. This is probably the first study elucidating the bacterial pollution and antibiotic sensitivity profiling of fecal coliforms isolated from River Cauvery, Karnataka, India.
    MeSH term(s) Drinking Water/microbiology ; Drug Resistance, Microbial/genetics ; Environmental Monitoring ; India ; Methicillin-Resistant Staphylococcus aureus ; Rivers/microbiology ; Water Microbiology
    Chemical Substances Drinking Water
    Language English
    Publishing date 2015-05
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 782621-7
    ISSN 1573-2959 ; 0167-6369
    ISSN (online) 1573-2959
    ISSN 0167-6369
    DOI 10.1007/s10661-015-4488-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Bonn / Germany

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  3. Article: Environmental monitoring of bacterial contamination and antibiotic resistance patterns of the fecal coliforms isolated from Cauvery River, a major drinking water source in Karnataka, India

    Skariyachan, Sinosh / Mahajanakatti, Arpitha Badarinath / Grandhi, Nisha Jayaprakash / Prasanna, Akshatha / Sen, Ballari / Sharma, Narasimha / Vasist, Kiran S / Narayanappa, Rajeswari

    Environmental monitoring and assessment. 2015 May, v. 187, no. 5

    2015  

    Abstract: The present study focuses prudent elucidation of microbial pollution and antibiotic sensitivity profiling of the fecal coliforms isolated from River Cauvery, a major drinking water source in Karnataka, India. Water samples were collected from ten ... ...

    Abstract The present study focuses prudent elucidation of microbial pollution and antibiotic sensitivity profiling of the fecal coliforms isolated from River Cauvery, a major drinking water source in Karnataka, India. Water samples were collected from ten hotspots during the year 2011–2012. The physiochemical characteristics and microbial count of water samples collected from most of the hotspots exhibited greater biological oxygen demand and bacterial count especially coliforms in comparison with control samples (p ≤ 0.01). The antibiotic sensitivity testing was performed using 48 antibiotics against the bacterial isolates by disk-diffusion assay. The current study showed that out of 848 bacterial isolates, 93.51 % (n = 793) of the isolates were found to be multidrug-resistant to most of the current generation antibiotics. Among the major isolates, 96.46 % (n = 273) of the isolates were found to be multidrug-resistant to 30 antibiotics and they were identified to be Escherichia coli by 16S rDNA gene sequencing. Similarly, 93.85 % (n = 107), 94.49 % (n = 103), and 90.22 % (n = 157) of the isolates exhibited multiple drug resistance to 32, 40, and 37 antibiotics, and they were identified to be Enterobacter cloacae, Pseudomonas trivialis, and Shigella sonnei, respectively. The molecular studies suggested the prevalence of bla TEM genes in all the four isolates and dhfr gene in Escherichia coli and Sh. sonnei. Analogously, most of the other Gram-negative bacteria were found to be multidrug-resistant and the Gram-positive bacteria, Staphylococcus spp. isolated from the water samples were found to be methicillin and vancomycin-resistant Staphylococcus aureus. This is probably the first study elucidating the bacterial pollution and antibiotic sensitivity profiling of fecal coliforms isolated from River Cauvery, Karnataka, India.
    Keywords Enterobacter cloacae ; Escherichia coli ; Gram-negative bacteria ; Gram-positive bacteria ; Pseudomonas ; Shigella sonnei ; Staphylococcus aureus ; antibiotic resistance ; bacterial contamination ; biochemical oxygen demand ; coliform bacteria ; drinking water ; environmental monitoring ; genes ; methicillin ; multiple drug resistance ; plate count ; ribosomal DNA ; rivers ; transmission electron microscopy ; India
    Language English
    Dates of publication 2015-05
    Size p. 4488.
    Publishing place Springer-Verlag
    Document type Article
    ZDB-ID 782621-7
    ISSN 1573-2959 ; 0167-6369
    ISSN (online) 1573-2959
    ISSN 0167-6369
    DOI 10.1007/s10661-015-4488-4
    Database NAL-Catalogue (AGRICOLA)

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    In stock of ZB MED Bonn / Germany

    Z 5186: Show issues

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

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