-
Je něco špatně v tomto záznamu ?
Inference of selection and stochastic effects in the house mouse hybrid zone
P. Dufková, M. Macholán, J. Piálek,
Jazyk angličtina Země Spojené státy americké
Typ dokumentu srovnávací studie, časopisecké články, práce podpořená grantem
- MeSH
- druhová specificita MeSH
- genetické markery genetika MeSH
- genotyp MeSH
- hybridizace genetická MeSH
- myši genetika MeSH
- pravděpodobnostní funkce MeSH
- rozmnožování genetika MeSH
- selekce (genetika) MeSH
- stochastické procesy MeSH
- vznik druhů (genetika) MeSH
- zeměpis MeSH
- zvířata MeSH
- Check Tag
- myši genetika MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- srovnávací studie MeSH
- Geografické názvy
- Česká republika MeSH
- Německo MeSH
We explored the transition of 13 X-linked markers across two separate portions of the house mouse hybrid zone, asking whether such a comparison can distinguish the effects of selection from random factors. A heuristic search in the likelihood landscape revealed more complex likelihood profiles for data sampled in two-dimensional (2D) space relative to data sampled along a linear transect. Randomized resampling of localities analyzed for individual loci showed that deletion of sites away from the zone center can decrease cline width estimates whereas deletion of sites close to the center can significantly increase the width estimates. Deleting localities for all loci resulted in wider clines if the number of samples from the center was limited. The results suggest that, given the great variation in width estimates resulting from inclusion/exclusion of sampling sites, the geographic sampling design is important in hybrid zone studies and that our inferences should take into account measures of uncertainty such as support intervals. The comparison of the two transects indicates cline widths are narrower for loci in the central part of the X chromosome, suggesting selection is stronger in this region and genetic incompatibilities may have at least partly common architecture in the house mouse hybrid zone.
Citace poskytuje Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc12027655
- 003
- CZ-PrNML
- 005
- 20121207102037.0
- 007
- ta
- 008
- 120817e20110201xxu f 000 0#eng||
- 009
- AR
- 024 7_
- $a 10.1111/j.1558-5646.2011.01222.x $2 doi
- 035 __
- $a (PubMed)21463294
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a xxu
- 100 1_
- $a Dufková, Petra $u Institute of Vertebrate Biology, Academy of Science of the Czech Republic, Brno, Czech Republic. dufkop@seznam.cz
- 245 10
- $a Inference of selection and stochastic effects in the house mouse hybrid zone / $c P. Dufková, M. Macholán, J. Piálek,
- 520 9_
- $a We explored the transition of 13 X-linked markers across two separate portions of the house mouse hybrid zone, asking whether such a comparison can distinguish the effects of selection from random factors. A heuristic search in the likelihood landscape revealed more complex likelihood profiles for data sampled in two-dimensional (2D) space relative to data sampled along a linear transect. Randomized resampling of localities analyzed for individual loci showed that deletion of sites away from the zone center can decrease cline width estimates whereas deletion of sites close to the center can significantly increase the width estimates. Deleting localities for all loci resulted in wider clines if the number of samples from the center was limited. The results suggest that, given the great variation in width estimates resulting from inclusion/exclusion of sampling sites, the geographic sampling design is important in hybrid zone studies and that our inferences should take into account measures of uncertainty such as support intervals. The comparison of the two transects indicates cline widths are narrower for loci in the central part of the X chromosome, suggesting selection is stronger in this region and genetic incompatibilities may have at least partly common architecture in the house mouse hybrid zone.
- 650 _2
- $a zvířata $7 D000818
- 650 _2
- $a genetické markery $x genetika $7 D005819
- 650 _2
- $a vznik druhů (genetika) $7 D049810
- 650 _2
- $a genotyp $7 D005838
- 650 _2
- $a zeměpis $7 D005843
- 650 _2
- $a hybridizace genetická $7 D006824
- 650 _2
- $a pravděpodobnostní funkce $7 D016013
- 650 _2
- $a myši $x genetika $7 D051379
- 650 _2
- $a rozmnožování $x genetika $7 D012098
- 650 _2
- $a selekce (genetika) $7 D012641
- 650 _2
- $a druhová specificita $7 D013045
- 650 _2
- $a stochastické procesy $7 D013269
- 651 _2
- $a Česká republika $7 D018153
- 651 _2
- $a Německo $7 D005858
- 655 _2
- $a srovnávací studie $7 D003160
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a práce podpořená grantem $7 D013485
- 700 1_
- $a Macholán, Miloš
- 700 1_
- $a Piálek, Jaroslav
- 773 0_
- $w MED00001672 $t Evolution; international journal of organic evolution $x 1558-5646 $g Roč. 65, č. 4 (20110201), s. 993-1010
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/21463294 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y m
- 990 __
- $a 20120817 $b ABA008
- 991 __
- $a 20121207102111 $b ABA008
- 999 __
- $a ok $b bmc $g 949697 $s 785001
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2011 $b 65 $c 4 $d 993-1010 $e 20110201 $i 1558-5646 $m Evolution $n Evolution $x MED00001672
- LZP __
- $a Pubmed-20120817/11/03