Seqanswers Leaderboard Ad

Collapse

Announcement

Collapse
No announcement yet.
X
 
  • Filter
  • Time
  • Show
Clear All
new posts

  • Taxonomic assignment discrepancies between SILVA and GenBank databases

    Hi All-

    I have some metagenomic Illumina data that I am attempting to analyze. I am focusing on eukaryotes and have targeted the V9 hypervariable region. I am attempting to assign taxonomy to my representative set of OTU's for a data set. I was using the QIIME-compatible versions of the SILVA 108 release to assign taxonomy (the whole data set and not just the Eukaryote specific data set). I recently attempted to assigning taxonomy of my representative OTU sequences by blasting against NCBI remotely and then importing the blast report into MEGAN. I did both methods for the same data set and same file for the representative OTU's and noticed some discrepancies. Some discrepancies were understandable and were around the genus and species levels. However, other OTU's resulted in very concerning results. One OTU in particular was classified as an Annelid through the GenBank/MEGAN method, but was considered a Chordate when blasted against the SILVA database in QIIME. I would expect discrepancies as you get more specific in the classification (genus/species level) but I did not expect discrepancies so high up in the classification level.

    I guess I am wondering if anyone else has attempted to compare or has looked at taxonomic assignments of Eukaryotes using different databases and how well the results matched up. Can anyone suggest why I am seeing such a large discrepancy in taxonomy for some of my samples?

    I am fairly new to the metagenomic world and am attempting to figure out how to analyze my data. Any assistance will be greatly appreciated!

  • #2
    Have you read the MEGAN manual? Especially the part where it explains how MEGAN assigns reads to taxa? Have you updated NCBI taxonomy in MEGAN? Have you considered that the GI-to-taxid file MEGAN uses is quite old? Hopefully this file will be updated come MEGAN5, or even better, if the author would disclose how the file is processed so we could always have the latest version..
    Last edited by rhinoceros; 05-12-2013, 09:59 AM.
    savetherhino.org

    Comment

    Latest Articles

    Collapse

    • seqadmin
      Current Approaches to Protein Sequencing
      by seqadmin


      Proteins are often described as the workhorses of the cell, and identifying their sequences is key to understanding their role in biological processes and disease. Currently, the most common technique used to determine protein sequences is mass spectrometry. While still a valuable tool, mass spectrometry faces several limitations and requires a highly experienced scientist familiar with the equipment to operate it. Additionally, other proteomic methods, like affinity assays, are constrained...
      04-04-2024, 04:25 PM
    • seqadmin
      Strategies for Sequencing Challenging Samples
      by seqadmin


      Despite advancements in sequencing platforms and related sample preparation technologies, certain sample types continue to present significant challenges that can compromise sequencing results. Pedro Echave, Senior Manager of the Global Business Segment at Revvity, explained that the success of a sequencing experiment ultimately depends on the amount and integrity of the nucleic acid template (RNA or DNA) obtained from a sample. “The better the quality of the nucleic acid isolated...
      03-22-2024, 06:39 AM

    ad_right_rmr

    Collapse

    News

    Collapse

    Topics Statistics Last Post
    Started by seqadmin, 04-11-2024, 12:08 PM
    0 responses
    27 views
    0 likes
    Last Post seqadmin  
    Started by seqadmin, 04-10-2024, 10:19 PM
    0 responses
    31 views
    0 likes
    Last Post seqadmin  
    Started by seqadmin, 04-10-2024, 09:21 AM
    0 responses
    27 views
    0 likes
    Last Post seqadmin  
    Started by seqadmin, 04-04-2024, 09:00 AM
    0 responses
    52 views
    0 likes
    Last Post seqadmin  
    Working...
    X