Haploid selection in animal sperm is a somewhat controversial topic, but recentevidence might shed experimental light on the matter. This thesis investigates thepossibility to detect any genetic selection in an artificial setting for zebrafish spermfrom a single individual. I analyse pooled data acquired from whole-genomesequencing for two distinct groups of short- and long-lived sperm, trying to identifyshifts in allele frequencies. I augment this by designing an accurate computersimulation of selection, that manipulates selection strength and takes biologicalaspects like linkage and sequence coverage into account. This allows large scaletesting and the generation of null distributions for any test metric. The mainconclusion is that selection has to be extremely strong to be detectable unless onewould explicitly account for genetic linkage, as opposed to the straightforwardper-marker approaches that formed the initial basis for our analyses.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-362821 |
| Date | January 2018 |
| Creators | Nettelblad, Jessica |
| Publisher | Uppsala universitet, Evolutionsbiologi |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | UPTEC X ; 16 013 |
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