Sequence-based Detection and Identification Biodiversity of Uncultivated Fungi in Soils.

Abstract

Detection and identification biodiversity of uncultured agriculture soil is not an easy one of the major problems that participate to this difficulty is the fastidious nature of the majority of unculturable soil fungal species .In this study we have need for identification of uncultivated soil groups, fundamentally rely on isolation of DNA from soil with a polymerase chain reaction and sequencing to diagnose and classify uncultivated soil fungal isolates .In the present study, two fungal-specific primer sets (NSIF/LRIFr and NSIF/ITS4r) were used to amplify partial sequences of fungal rRNA gene included ITS sequences. Five partial sequences of five fungal species were aligned through the BLASTN phylogenetic analysis against NCBI database which revealed higher identities with Fungal sp., uncultured fungus clone, Fusarium oxysporum, Clonostachys rosea and uncultured fungal clone. The blast tree showed that fungal species are neighbor joined, these results suggest that the uncultivated soil fungi is complex and diverse. Distinctly beneficial in ways and integration of various molecular methods (DNA-based) has shed light on these facets but a synthesis of both techniques is necessary for a finer image and a deeper understanding. Therefore, the taxonomic complexity of unculturable communities of fungal organisms needs to be unraveled.