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  • Uneven coverage across scaffold

    Hi,

    I have run the SMRT-Portal RS_HGAP_Assembly.2 protocol.
    I am getting a single whole chromosome assembled (~4.4Mb) but there is uneven coverage across the scaffold.

    See Figure:
    http://imgur.com/CwVQVRq

    Additionaly the start 15Kb and the 15Kb where the coverage drops is a repeat.

    I am unsure how to interperate these results and I am wondering if there has been a misassembly.

    Could anyone shed some light on this?

  • #2
    You appear to have a 750kb collapsed repeat at the beginning, which is why the coverage is doubled.

    Comment


    • #3
      I had thought of this scenario but duplication of almost a quarter of the genome is highly unlikely and illumina sequencing produces even coverage across the genome. Is it possible that a large segment of the genome was unevenly sequenced with PacBio?

      Comment


      • #4
        Could be a plasmid with two copies, or a plasmid that replicates part of the main chromosome. PacBio does not normally produce uneven coverage; it's very flat. Can you post a picture of the Illumina coverage?

        Comment


        • #5
          Sure! here it is:

          http://imgur.com/yCvlMG1

          Also the organism doesn't have a plasmid.
          Thanks for your help.

          Comment


          • #6
            Is it supposed to be a linear or circular genome?

            Comment


            • #7
              The genome is Circular

              Comment


              • #8
                1) What is the organism that you're studying? And are there any related genomes that might be useful for comparison?

                2) Is there any possibility that the sample might be heterogeneous/contaminated, and that the 750kbp segment is from a different species or symbiont? It might be informative to compare the GC content of that segment to the remainder of the chromosome. Kmer plots and BLAST searches might also prove useful.

                3) And any chance that the Illumina dataset was normalized?

                Comment

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