Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • MikeT
    Member
    • Jul 2010
    • 22

    Extracting and scaffolding microbial genomes from complex communities

    Hi all,
    For a recent project, we managed to sequence a microbial biofilm growing on a surface. It was a mixed community composed of both filamentous and single cells. We first sequenced the community as a whole, and then sequenced only the >10 um size fraction, which held almost only the filamentous portion.
    I managed to extract 3 genomes from the >10 um size fraction by both applying MetaBAT and by manually selecting contigs that formed isolated clusters (after merging the whole community and size fractionated samples) with VizBin. The analysis of gene markers confirmed that they belonged to two different Proteobacterial classes and I managed to isolate the most closely related genome for each environmental genome.
    Now I would like to scaffold my contigs and complete them as much as I can. Both samples were sequenced on an Illumina MiSeq platform with 2x300 bp paired-end reads. I tried by aligning the contigs on their most closely-related genome with CONTIGuator and then trying to close the gaps with GapCloser, but I'm not sure it's the best strategy.
    What would you suggest me, instead?
    Best regards

    -MikeT
  • fibar
    Member
    • Feb 2013
    • 19

    #2
    Hi Mike,
    I'm interested in your post. As far as I know, what you say sounds good.
    I haven't tried it yet, but maybe with anvi'o you can check where you are standing:

    Comment

    • Markiyan
      Senior Member
      • Sep 2010
      • 126

      #3
      Nextera/Lucigen Matepair data is strongly recommended for gap closing!

      Dear Mike,

      So well done for sequencing them with 2x300 run mode, but remember that maximum insert sizes that would cluster are still 1kb - 1.2kb, so in order to be able to jump over any repeats over 1kb (rRNA, etc) - the matepair library is a must (if you can get enough DNA (~2ug)).
      I would do at least 1 nextera 3kb+ matepair library, making sure i give it enough DNA, run 2x300 or 2x250 mode,
      than properly process the data and reassemble. If the range is still to short - you can go up to 15-20 kb if you use blue pipping or gel size selection.

      After that, repeat the gap closing attempts.
      You can also try pilon for that.

      PS: if you have access - you can also give a Pacbio or 10K or Molleculo a try.
      --
      Best Regards,
      Markiyan.

      Originally posted by MikeT View Post
      Hi all,
      Both samples were sequenced on an Illumina MiSeq platform with 2x300 bp paired-end reads. I tried by aligning the contigs on their most closely-related genome with CONTIGuator and then trying to close the gaps with GapCloser, but I'm not sure it's the best strategy.
      What would you suggest me, instead?
      Best regards
      -MikeT

      Comment

      Latest Articles

      Collapse

      • SEQadmin2
        Advanced Sequencing Platforms Tackle Neuroscience’s Toughest Genomics Problems
        by SEQadmin2



        Genomics studies in neuroscience face a special challenge due to the brain’s complexity and scarcity of samples. Mapping changes in cell type and state using conventional next-generation sequencing methods remains challenging. Advances in technologies like single-cell sequencing, spatial transcriptomics, and long-read sequencing have opened the door to deeper studies of the brain and diseases like Alzheimer’s, amyotrophic lateral sclerosis (ALS), and schizophrenia.
        ...
        Yesterday, 11:10 AM
      • SEQadmin2
        Cancer Drug Resistance: The Lingering Barrier to Rising Survival
        by SEQadmin2



        Cancer survival rates have significantly increased in the last few decades in the United States, reaching a combined 70% 5-year survival rate by 2021. Behind this number, there are years of research to find new therapies, drug targets, and early detection methods. But there is one core challenge that keeps slowing down these advances, and it’s about drug resistance.

        There is no single reason why many patients don’t respond to treatment as expected. Cancer is...
        07-08-2026, 05:17 AM
      • GATTACAT
        Reply to Nine Things a Sample Prep Scientist Thinks About Before Sequencing
        by GATTACAT
        Love this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.
        07-01-2026, 11:43 AM

      ad_right_rmr

      Collapse

      News

      Collapse

      Topics Statistics Last Post
      Started by SEQadmin2, Yesterday, 10:04 AM
      0 responses
      10 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-08-2026, 10:08 AM
      0 responses
      8 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-07-2026, 11:05 AM
      0 responses
      16 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-02-2026, 11:08 AM
      0 responses
      31 views
      0 reactions
      Last Post SEQadmin2  
      Working...