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PMID: 15545657 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S.

Genetics of species differences in the wild annual sunflowers, Helianthus annuus and H. petiolaris.

Genetics ·Vol. 169 ·No. 4 ·2005-04-00 ·Pages 2225-39

Lexer C, Rosenthal DM, Raymond O, Donovan LA, Rieseberg LH

Abstract

Much of our knowledge of speciation genetics stems from quantitative trait locus (QTL) studies. However, interpretations of the size and distribution of QTL underlying species differences are complicated by differences in the way QTL magnitudes are estimated. Also, many studies fail to exploit information about QTL directions or to compare inter- and intraspecific QTL variation. Here, we comprehensively analyze an extensive QTL data set for an interspecific backcross between two wild annual sunflowers, Helianthus annuus and H. petiolaris, interpret different estimates of QTL magnitudes, identify trait groups that have diverged through selection, and compare inter- and intraspecific QTL magnitudes. Our results indicate that even minor QTL (in terms of backcross variance) may be surprisingly large compared to levels of standing variation in the parental species or phenotypic differences between them. Morphological traits, particularly flower morphology, were more strongly or consistently selected than life history or physiological traits. Also, intraspecific QTL were generally smaller than interspecific ones, consistent with the prediction that larger QTL are more likely to spread to fixation across a subdivided population. Our results inform the genetics of species differences in Helianthus and suggest an approach for the simultaneous mapping of inter- and intraspecific QTL.

MeSH Terms
Alleles Chromosome Mapping Crosses, Genetic Epistasis, Genetic Genes, Plant Genetic Markers Genetic Variation Genetics, Population Helianthus/genetics Models, Genetic Phenotype Quantitative Trait Loci Quantitative Trait, Heritable Species Specificity Statistics as Topic
Chemicals
Genetic Markers
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Lexer Christian
Jodrell Laboratory, Royal Botanic Gardens, Kew, Richmond, Surrey, UK. c.lexer@kew.org
Rosenthal David M
Raymond Olivier
Donovan Lisa A
Rieseberg Loren H
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Article Info
Journal
Genetics
Abbr.
Genetics
ISSN
0016-6731
Published
2005-04-00
Epub
2004-00-15
Pages
2225-39
Language
English
Region
United States
NLM ID
0374636
PMCID
PMC1449618
Subset
IM
Grants
PHS HHS · R01 G59065 · United States
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