Abstract

Fungal concentrations in dust samples analyzed by molecular methods were carried out of animal rearing house at Hessaraghatta village, Bangalore. Handy air sampler EnviroTech-APM 821 was used to collect the dust samples in triplicate and sampling time was limited to eight hours. The sampled filter papers were used for the assay of DNA extracted from all the four animal rearing locations were used for PCR amplification using Universal ITS fungal identification primers PCR products were analyzed on 2% agarose gel out of four different locations were rabbit house, cow shed, poultry farm and swine house. The sequencing was then blasted against known sequences in the NCBI database to provide species identification and phylogenetic tree was also constructed with 20 closely related blast sequences. The rabbit house and cow shed dust samples did not show any amplifications even with varying conditions while poultry farm (Cladosporium oxysporium DFFSCS018) and swine house (Peniophora species1306-hpF-04) isolate samples gave amplicons of 550bp and 600bp respectively with ITS region showing 99% similarity. These studies useful for clinicians to identify the cause of the dust allergic diseases of the animal rearing house workers and suggest amendment strategies.

Highlights

  • Recent rapid advances in molecular biology provide the potential for enhanced characterization and rapid quantification of microorganisms in the environment

  • The sampling site selected for fungal concentrations in dust samples of animal rearing houses were analyzed by Polymerase Chain Reaction (PCR) methods were Location 1 - Rabbit house, Location 2 Cow shed, Location 3 - Poultry farm and Location 4 Swine house at Hessaraghatta village, Bangalore in the State of Karnataka, India

  • DNA was isolated from the dust samples of four different animal rearing site and all the DNA samples were analyzed on 0.8% agarose gel and visualized under UV gel Documentation unit (Fig. 1)

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Summary

Introduction

Recent rapid advances in molecular biology provide the potential for enhanced characterization and rapid quantification of microorganisms in the environment. It is used to copy and amplify many million-fold specific regions (typically

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