Search: id:"swepub:oai:DiVA.org:miun-23060" >
Strong clustering i...
Strong clustering in a SNP study of Phlebiopsis gigantea in sweden
-
- Carlsson, Fredrik, 1974- (author)
- Mittuniversitetet,Avdelningen för naturvetenskap,Biologi
-
Olsson, Jörgen (author)
-
- Holm, Svante (author)
- Mittuniversitetet,Avdelningen för naturvetenskap
-
(creator_code:org_t)
- English.
- Related links:
-
https://urn.kb.se/re...
Abstract
Subject headings
Close
- The population structures of wood decaying basidomycetes depend on several factors; one is dispersal pattern of spores, another is age structure including lifespan and also environmental impacts like forest fires. Phlebiopsis gigantea has been shown to be in the group of basidomycetes that have a well developed tolerance to heat, is long-distance wind dispersed and whose fruit body show up early in succession on fallen logs. In a study of 132 individuals from 3 pairs of locations, 350 km apart, in middle to northern Sweden we used 26 SNP-markers in 6 loci to make a genetic clustering study using STRUCTURE (v. 2.3.4.). The hypothesis; first, clustering should follow the geographic sampling locations with more gene flow between geographically close locations, second; that genetic distance between different clusters should be low due to the long distance dispersal of spores, third; as markers are random we don’t expect to find a correlation between locations affected by forest fires and locations not affected by forest fires. In the study we found 5 clusters (Pr[K= 1]) with moderate to high Fst values (0,0697-03939). Clusters had a poor geographical correlation to sampled populations indicating a complicated population structure. Out of 132 individuals 119 had a private genotype showing a large genetic variation over the total area and a low level of clones in the field.
Subject headings
- NATURVETENSKAP -- Biologi -- Genetik (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Genetics (hsv//eng)
Publication and Content Type
- vet (subject category)
- ovr (subject category)
To the university's database