Repository logo
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Српски
  • Yкраї́нська
  • Log In
    New user? Click here to register. Have you forgotten your password?
Repository logo
  • Communities & Collections
  • All of DSpace
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Српски
  • Yкраї́нська
  • Log In
    New user? Click here to register. Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Ganiyu Shittu OLAHAN"

Now showing 1 - 1 of 1
Results Per Page
Sort Options
  • Item
    Analysis of microfungi in rice rhizosphere from four rice - producing villages in Niger State, Nigeria using Illumina sequencing
    (Faculty of Agriculture, University of Zagreb, Croatia., 2025-02-14) Ganiyu Shittu OLAHAN; Ibrahim AJADI
    To accurately identify the fungal communities in the rhizosphere of rice plants, Oryza sativa L. as well as understand their relationships, an Illumina-based sequencing approach was employed in this study. Rice rhizosphere samples were collected from four large-scale rice-producing villages in Niger State: Lagun, Batavovogi, Dokogi and Jikannagi. Genomic DNA was extracted from each sample, and their fungal Internal Transcribed Spacer (ITS) regions were amplified using standard Illumina sequencing protocols. After quality-filtering the sequences, the operational taxonomic units (OTUs) in each sample were identified using QIIME software, and were assigned taxonomies through the Unite databases. The sequencing produced 340,492 ITS rDNA reads. The sample from Lagun had the highest richness according to the Chao 1 diversity index (776.4), while the Dokogi sample had the lowest richness (482). Most OTUs belonged to Phylum Ascomycota, followed by Basidiomycota, while representatives of the following classes were observed, i.e. Sordariomycetes, Eurotiomycetes, Dothideomycetes, Agaricomycetes, and Rhizophyctidomycetes. The Jikannagi sample showed predominance of Sordariomycetes, Agaricomycetes, and Dothideomycetes, while Eurotiomycetes and Rhizophyctidomycetes were dominant in the Dokogi sample. The Jikannagi sample also exhibited the highest fungal diversity (Shannon index). However, a significant portion of the fungal reads were not classifiable because the data base used in this study was not sufficient enough. Therefore, there is need for future studies to be based on an improved data base in order to reduce the number of unclassified fungi.

University of Ilorin Library © 2024, All Right Reserved

  • Cookie settings
  • Send Feedback
  • with ❤ from dspace.ng