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Related Concept Videos

Rapid Identification of Pathogens01:25

Rapid Identification of Pathogens

MALDI-TOF MS has transformed clinical microbiology by offering a rapid and reliable method for pathogen identification. The traditional approach to microbial identification typically involves time-consuming culture techniques and biochemical tests, which can delay the initiation of appropriate antimicrobial therapy. MALDI-TOF MS avoids these delays by using characteristic ribosomal protein mass patterns of microbial cells, enabling accurate species-level identification within minutes.Principle...

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Identification of Rare Bacterial Pathogens by 16S rRNA Gene Sequencing and MALDI-TOF MS
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Characterization of Malaysian Trichoderma isolates using random amplified microsatellites (RAMS).

Shafiquzzaman Siddiquee1, Soon Guan Tan, Umi Kalsom Yusuf

  • 1Biotechnology Research Institute, Universiti Malaysia Sabah, Jln UMS, 88400, Kota Kinabalu, Sabah, Malaysia. shafiqpab@yahoo.com

Molecular Biology Reports
|May 10, 2011
PubMed
Summary

Random Amplified Microsatellites (RAMS) analysis offers a more accurate method for identifying Trichoderma species, crucial for biocontrol applications. This genetic approach revealed significant genetic diversity and clarified relationships between species like T. harzianum and T. aureoviride.

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Area of Science:

  • Mycology
  • Plant Pathology
  • Molecular Biology

Background:

  • Trichoderma species are vital biocontrol agents against plant pathogens, utilizing antifungal metabolites, nutrient competition, and mycoparasitism.
  • Traditional micro-morphological identification of Trichoderma is time-consuming and error-prone, hindering accurate species differentiation.
  • Correct identification is critical as key biocontrol traits are species-specific.

Purpose of the Study:

  • To evaluate the efficacy of Random Amplified Microsatellites (RAMS) for precise identification of Trichoderma species.
  • To assess the genetic diversity and similarity among 42 Trichoderma isolates using molecular markers.
  • To clarify the taxonomic relationships between morphologically distinct Trichoderma species.

Main Methods:

  • Random Amplified Microsatellites (RAMS) analysis was performed on 42 Trichoderma isolates using five primers.
  • Genetic similarity was calculated, and polymorphic, monomorphic, and exclusive bands were quantified.
  • Unweighted Pair Group Method with Arithmetic (UPGMA) clustering was employed to analyze the RAMS marker data.

Main Results:

  • RAMS analysis revealed genetic similarity ranging from 12.50% to 85.11% among isolates, with 96.05% of 76 scored bands being polymorphic.
  • Specific bands from primers LR-5 and P1A were consistently present across all isolates from oil palm plantations.
  • Cluster analysis indicated distinct groupings for T. harzianum, T. virens, and T. longibrachiatum, with most T. aureoviride isolates closely related to T. harzianum.

Conclusions:

  • RAMS analysis provides a robust and efficient method for differentiating Trichoderma species, overcoming limitations of traditional methods.
  • The study highlights significant genetic variation within the Trichoderma genus and confirms the close relationship between T. aureoviride and T. harzianum.
  • Accurate molecular identification using RAMS is essential for optimizing the application of Trichoderma as biocontrol agents in agriculture.