We’re sorry, but GBIF doesn’t work properly without JavaScript enabled.
Our website has detected that you are using an outdated insecure browser that will prevent you from using the site. We suggest you upgrade to a modern browser.
{{nav.loginGreeting}}
  • Get data
      • Occurrences
      • GBIF API
      • Species
      • Datasets
      • Occurrence snapshots
      • Hosted portals
      • Trends
  • How-to
    • Share data

      • Quick-start guide
      • Dataset classes
      • Data hosting
      • Standards
      • Become a publisher
      • Data quality
      • Data papers
    • Use data

      • Featured data use
      • Citation guidelines
      • GBIF citations
      • Citation widget
  • Tools
    • Publishing

      • IPT
      • Data validator
      • Scientific Collections
      • Suggest a dataset
      • New data model ⭐️
    • Data access and use

      • Hosted portals
      • Data processing
      • Derived datasets
      • rgbif
      • pygbif
      • MAXENT
      • Tools catalogue
    • GBIF labs

      • Species matching
      • Name parser
      • Sequence ID
      • Relative observation trends
      • GBIF data blog
  • Community
    • Network

      • Participant network
      • Nodes
      • Publishers
      • Network contacts
      • Community forum
      • alliance for biodiversity knowledge
    • Volunteers

      • Mentors
      • Ambassadors
      • Translators
      • Citizen scientists
    • Activities

      • Capacity enhancement
      • Programmes & projects
      • Training and learning resources
      • Data Use Club
      • Living Atlases
  • About
    • Inside GBIF

      • What is GBIF?
      • Become a member
      • Governance
      • Implementation plan
      • Work Programme
      • Funders
      • Partnerships
      • Release notes
      • Contacts
    • News & outreach

      • News
      • Newsletters and lists
      • Events
      • Ebbe Nielsen Challenge
      • Graduate Researchers Award
      • Science Review
      • Data use
  • User profile

Appliaction of metagenomic technique for isolation of microbes from mangroves for potential use in biofertilization and bioremediation

Dataset homepage

Citation

MGnify (2019). Appliaction of metagenomic technique for isolation of microbes from mangroves for potential use in biofertilization and bioremediation. Sampling event dataset https://doi.org/10.15468/jqtrkg accessed via GBIF.org on 2023-02-03.

Description

The sequences submitted are the fingal ITS metagenomic. The mangrove ecosystem of Goa forms a very important bio-repository. Therefore, the ITS metagenomic DNA sequences obtained from Goa coastline will help to develop a gross idea about the fungal community members present in the mangrove sediments of North and South Goa. This is the first report of fungal metagenomic sequences for Mandovi & Zuari mangrove ecosystem obtained through illumina Miseq platform.

Sampling Description

Sampling

The sequences submitted are the fingal ITS metagenomic. The mangrove ecosystem of Goa forms a very important bio-repository. Therefore, the ITS metagenomic DNA sequences obtained from Goa coastline will help to develop a gross idea about the fungal community members present in the mangrove sediments of North and South Goa. This is the first report of fungal metagenomic sequences for Mandovi & Zuari mangrove ecosystem obtained through illumina Miseq platform.

Method steps

  1. Pipeline used: https://www.ebi.ac.uk/metagenomics/pipelines/4.1

Taxonomic Coverages

Geographic Coverages

Bibliographic Citations

  1. Haldar S, Nazareth SW. 2019. Diversity of fungi from mangrove sediments of Goa, India, obtained by metagenomic analysis using Illumina sequencing. 3 Biotech vol. 9 - DOI:10.1007/s13205-019-1698-4

Contacts

originator
Goa University
metadata author
Goa University
administrative point of contact
Goa University
What is GBIF? API FAQ Newsletter Privacy Terms and agreements Citation Code of Conduct Acknowledgements
Contact GBIF Secretariat Universitetsparken 15 DK-2100 Copenhagen Ø Denmark