Phymyco-DB

Phymyco-DB curates high-quality nuclear SSU rRNA and EF1-α sequences to support fungal molecular taxonomy and phylogenetic analyses.


Key Features:

  • Curated Sequence Quality: Sequences undergo automatic filtering followed by manual curation, with approximately 20% of automatically filtered sequences removed to eliminate problematic entries while preserving phylogenetically informative records.
  • Focus on Molecular Taxonomic Markers: Targets nuclear SSU rRNA and EF1-α gene sequences that are widely used for fungal taxonomy and phylogenetic inference.
  • Extensive Sequence Repository: Contains 9,120 high-quality SSU rRNA sequences and 672 EF1-α sequences spanning all five fungal phyla and multiple taxonomic levels.
  • Functional Tools: Provides extraction of high-quality fungal sequences across phyla, access to pre-performed "reference alignments", and the capability to align personal sequence data with the stored sequences for comparative analyses.
  • Application Demonstration: Has been applied to assign environmental Chytridiomycota sequences obtained from deep-sea samples, illustrating its use in environmental phylogenetic assignments.

Scientific Applications:

  • Environmental sequencing: Supports accurate fungal identification and classification in environmental sequencing studies.
  • Phylogenetic species concept: Enables adoption of the phylogenetic species concept through curated reference sequences and alignments for species delimitation.
  • Complex and deep-sea ecosystems: Facilitates phylogenetic analyses in complex environments such as deep-sea ecosystems where traditional taxonomic methods may be insufficient.

Methodology:

Initial automatic extraction and filtration of sequences from GenBank based on predefined quality criteria followed by manual expert curation to remove problematic entries while retaining phylogenetically informative sequences.

Topics

Details

Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
1/21/2015
Last Updated:
11/25/2024

Operations

Data Inputs & Outputs

Publications

Mahé S, Duhamel M, Le Calvez T, Guillot L, Sarbu L, Bretaudeau A, Collin O, Dufresne A, Kiers ET, Vandenkoornhuyse P. PHYMYCO-DB: A Curated Database for Analyses of Fungal Diversity and Evolution. PLoS ONE. 2012;7(9):e43117. doi:10.1371/journal.pone.0043117. PMID:23028445. PMCID:PMC3441585.

Documentation