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  <title>DSpace Collection:</title>
  <link rel="alternate" href="http://pucir.inflibnet.ac.in:8080/jspui/handle/123456789/365" />
  <subtitle />
  <id>http://pucir.inflibnet.ac.in:8080/jspui/handle/123456789/365</id>
  <updated>2026-05-02T22:36:33Z</updated>
  <dc:date>2026-05-02T22:36:33Z</dc:date>
  <entry>
    <title>Current Developments and Challenges in Plant Viral Diagnostics: A Systematic Review</title>
    <link rel="alternate" href="http://pucir.inflibnet.ac.in:8080/jspui/handle/123456789/376" />
    <author>
      <name>Singh, Garima</name>
    </author>
    <id>http://pucir.inflibnet.ac.in:8080/jspui/handle/123456789/376</id>
    <updated>2024-06-05T09:39:36Z</updated>
    <published>2021-03-05T00:00:00Z</published>
    <summary type="text">Title: Current Developments and Challenges in Plant Viral Diagnostics: A Systematic Review
Authors: Singh, Garima
Abstract: Plant viral diseases are the foremost threat to sustainable agriculture, leading to several billion dollars in losses every year. Many viruses infecting several crops have been described in the literature; however, new infectious viruses are emerging frequently through outbreaks. For the effective treatment and prevention of viral diseases, there is great demand for new techniques that can provide accurate identification on the causative agents. With the advancements in biochemical and molecular biology techniques, several diagnostic methods with improved sensitivity and specificity for the detection of prevalent and/or unknown plant viruses are being continuously developed. Currently, serological and nucleic acid methods are the most widely used for plant viral diagnosis. Nucleic acid-based techniques that amplify target DNA/RNA have been evolved with many variants. However, there is growing interest in developing techniques that can be based in real-time and thus facilitate in-field diagnosis. Next-generation sequencing (NGS)-based innovative methods have shown great potential to detect multiple viruses simultaneously; however, such techniques are in the preliminary stages in plant viral disease diagnostics. This review discusses the recent progress in the use of NGS-based techniques for the detection, diagnosis, and identification of plant viral diseases. New portable devices and technologies that could provide real-time analyses in a relatively short period of time are prime important for in-field diagnostics. Current development and application of such tools and techniques along with their potential limitations in plant virology are likewise discussed in detail.</summary>
    <dc:date>2021-03-05T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Distribution and antimicrobial potential of endophytic fungi associated with ethnomedicinal plant Melastoma malabathricum L</title>
    <link rel="alternate" href="http://pucir.inflibnet.ac.in:8080/jspui/handle/123456789/368" />
    <author>
      <name>Singh, Garima</name>
    </author>
    <id>http://pucir.inflibnet.ac.in:8080/jspui/handle/123456789/368</id>
    <updated>2024-06-05T08:38:04Z</updated>
    <published>2015-10-06T00:00:00Z</published>
    <summary type="text">Title: Distribution and antimicrobial potential of endophytic fungi associated with ethnomedicinal plant Melastoma malabathricum L
Authors: Singh, Garima
Abstract: Distributions of endophytic fungi associated with ethnomedicinal plant Melastoma&#xD;
malabathricum L.was studied and 91 isolates belonging to 18 genera were recovered. The isolates&#xD;
were distributed to sordariomycetes (62.63%), dothideomycetes (19.78%), eurotiomycetes&#xD;
(7.69%), , agaricomycetes (1.09%), and mycelia sterilia (4.39%). Based on&#xD;
colony morphology and examination of spores, the isolates were classified into 18 taxa, of which&#xD;
Colletotrichum, Phomopsis and Phoma were dominant, their relative frequencies were 23.07%,&#xD;
17.58% and 12.08% respectively. The colonization rate of endophytic fungi was determined and&#xD;
found to be significantly higher in leaf segments (50.76%), followed by root (41.53%) and stem&#xD;
tissues (27.69%).  All the isolates were screened for antimicrobial activity and revealed that&#xD;
26.37% endophytic fungi were active against one or more pathogens. Twenty four isolates&#xD;
showing significant antimicrobial activity were identified by sequencing the ITS1-5.8S-ITS2&#xD;
region of rRNA gene. Results indicated that endophytic fungi associated with leaf were&#xD;
functionally versatile as they showed antimicrobial activity against most of the tested pathogens.&#xD;
The endophytic fungi Diaporthe phaseolorum var. meridionalis (KF193982) inhibited all the&#xD;
tested bacterial pathogens, whereas, Penicillium chermesinum (KM405640) displayed most&#xD;
significant antifungal activity. This seems to be the first hand report to understand the distribution&#xD;
and antimicrobial ability of endophytic fungi from ethno-medicinal plant M. malabathricum</summary>
    <dc:date>2015-10-06T00:00:00Z</dc:date>
  </entry>
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