Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • bacterial genome seq advice

    A question to gurus of bacterial genome sequencing. I have a customer that wants to re-sequence 24 different bacterial genomes. What would be a reasonable level of multiplexing on MiSeq assuming an average genome size of 5-6 Mb and optimal (from your experience) for resequencing coverage depth? Would a combination with GS Jr sequencing improve the fidelity of assembly and ref mapping?

  • #2
    Have you seen Illumina's coverage calculator?
    Calculator to help determine the reagents and sequencing runs needed to arrive at desired coverage for your experiment.

    People here like to aim for 25x coverage for a first try at de novo assembly; not sure about resequencing.

    Comment


    • #3
      Bear the following in mind however if you are performing a de novo on a miseq. Basespace/miseq reporter only samples 500Mb from each sample and tries to perform the assembly on this. If you have generated more than 500Mb for a sample you best bet is to assemble off line. The limit is due to the low processing power on the Miseq, de novos are pretty memory hungry.

      We have done some re sequencing on the miseq and 25 sample is reasonable on a 2 x 250bp. If you upload you genome you will get coverage stats and some nice graphs. The only thing to be careful with is equal representation with 25 samples.

      Comment


      • #4
        If you are going to suggest a second platform, PacBio is a far better choice than GS Jr. With an RS II instrument and a good library prep, 1-2 SMRT cells would probably be sufficient to assemble these genomes without the Illumina data.

        The difference between 2x250 data and 454 Jr data isn't going to very great; only a small number of gaps will be patched by 454. In contrast, a good SMRT library is going to give you many 5Kb+ reads which are likely to span most repeats in a bacterial genome.

        Cost-wise, I believe 454 Jr will be much more expensive than PacBio; many core facilities will make a library and run 2 SMRT cells for ~$1K. 1 SMRT cell would probably be sufficient if the data is to be combined with Illumina data (using PacBioToCA or similar pipeline).

        Cost all four approaches out (Illumina only, PacBio only, Illumina+454 Jr, Illumina+PacBio), and keep in mind that the PacBio options have a much better shot of getting to 1 contig per DNA replicon.

        Comment


        • #5
          If you want closed genomes de novo you could also just use the Illumina Nextera Mate-pair protocol. In our experience it works great and usually results in a single chromosome.

          However, the mate-pair protocol is more expensive and time consuming compared to the normal nextera-PE protocols.

          For coverage calculations you will need to know the average GC content of the genome in question. While 25x coverage might be OK for a 50% GC genome. It will be too little for a 65%+ GC genome.

          rgds
          Mads

          Comment

          Latest Articles

          Collapse

          • seqadmin
            Recent Developments in Metagenomics
            by seqadmin





            Metagenomics has improved the way researchers study microorganisms across diverse environments. Historically, studying microorganisms relied on culturing them in the lab, a method that limits the investigation of many species since most are unculturable1. Metagenomics overcomes these issues by allowing the study of microorganisms regardless of their ability to be cultured or the environments they inhabit. Over time, the field has evolved, especially with the advent...
            09-23-2024, 06:35 AM
          • seqadmin
            Understanding Genetic Influence on Infectious Disease
            by seqadmin




            During the COVID-19 pandemic, scientists observed that while some individuals experienced severe illness when infected with SARS-CoV-2, others were barely affected. These disparities left researchers and clinicians wondering what causes the wide variations in response to viral infections and what role genetics plays.

            Jean-Laurent Casanova, M.D., Ph.D., Professor at Rockefeller University, is a leading expert in this crossover between genetics and infectious...
            09-09-2024, 10:59 AM

          ad_right_rmr

          Collapse

          News

          Collapse

          Topics Statistics Last Post
          Started by seqadmin, 10-02-2024, 04:51 AM
          0 responses
          13 views
          0 likes
          Last Post seqadmin  
          Started by seqadmin, 10-01-2024, 07:10 AM
          0 responses
          21 views
          0 likes
          Last Post seqadmin  
          Started by seqadmin, 09-30-2024, 08:33 AM
          0 responses
          26 views
          0 likes
          Last Post seqadmin  
          Started by seqadmin, 09-26-2024, 12:57 PM
          0 responses
          18 views
          0 likes
          Last Post seqadmin  
          Working...
          X