Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • barn88
    Junior Member
    • Apr 2017
    • 4

    Need feedback on RADseq using enzyme BbvCI

    I am planning to genotype ~520 samples using original RADseq (Etter et al. 2011). The project has 2 goals: (1) construct a linkage map using a subset of those individuals, and (2) examine introgression among populations. I would like feedback on my sequencing plan.

    I am studying two hybridizing species with a genome size of ~980 Mb. We do not have whole genome sequence and suspect low sequence divergence between the species. We would like to generate as many tags as possible so we can make a dense linkage map.

    An in silico digest of transcriptome data from a closely related species suggests that the restriction enyme BbvCI will yield ~120k RAD tags while allowing multiplexing of 85 samples per lane (at 30x coverage on an Illumina HiSeq), for a total of 6 lanes. For comparison, a less frequent cutter like SfbI would allow us to sequence everything on 2 lanes, but would yield only ¼ the number of tags. BbvCI was the only enzyme I tested that is estimated to yield a large number of fragments while also allowing an acceptable level of multiplexing, which is why I would like to use it. We have sufficient funding for more sequencing lanes, but one feature of BbvCI makes me question its usefulness:

    BbvCI does not have a palindromic cut site, so each DNA fragment will have a different 5’ overhang at each end: either TCA or TGA. Does this mean that I need to order 2 different P1 adapters, 1 for each end? If I were to use only one P1 adapters and ligate it to one end, this would halve the number of RAD tags generated.

    I welcome any suggestions on how to optimize the tradeoff between number of tags generated and costs of oligos, enzymes, and sequencing.
  • nucacidhunter
    Jafar Jabbari
    • Jan 2013
    • 1250

    #2
    You probably should use one of overhangs for adapter ligation because two adapters overhang will be complementary and will result in high adapter-dimer formation that have to be considered for library prep protocol.

    Comment

    • barn88
      Junior Member
      • Apr 2017
      • 4

      #3
      Good point, not sure how I overlooked that. Thanks!

      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.
        ...
        07-09-2026, 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, 07-09-2026, 10:04 AM
      0 responses
      23 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-08-2026, 10:08 AM
      0 responses
      15 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-07-2026, 11:05 AM
      0 responses
      33 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...