Hello,
I have been searching this subject and trying to find a technique that fits my needs and so far I have been having no success.
I am looking to test try and find crossover events in my HiSeq datasets. I have 9 strains of the same non-model clonal species that are very similar to each other in that sense that a lot of genomic variation due to ploidy is shared. I am now interested if despite clonal propagation, there is still recombination occurring.
All I have is 9 HiSeq 100bp x 2 PE reads with a fragment size of ~300bp for my 9 strains.
Any recommendations?
Thank you,
Adrian
What would you describe as blocks of SNPs inherited together? I have already done steps 1-3 except I did not pool them together out of fear of chimeric contigs.
The paper seems to talk about SNP arrays, and I am not sure how that links to what I am trying to do.
When the crossover event occurs, a block of SNPs would be on a chromosome in an order that is different from usual. Thinking about this some more, I think you would need to try and infer what the genotype of each chromosome is and then from there figure out if there is a crossover event. Here is a simple example to illustrate this
From this, assume that strain1 is your reference, strain 2 would suggest a crossover event between n=1 and n=3 somewhere between the 1st and 2nd SNP while strain 3 would suggest a crossover event between n=2 and n=3 between the 2nd and 3rd SNP. This is the kind of stuff you are looking for right? If so, you would first have to figure out which SNPs come from which n=# and to do that, you would have to look at your reads and see if the same SNPs exist on the same reads and go from there. I don't know if there is any software that would do this for you but if you do end up thinking of a good example to show what you are looking for, I would re-post this question with a more general title and explain the tetraploid / crossover stuff in your question.