Literature DB >> 11681731

Patterns of genetic architecture for life-history traits and molecular markers in a subdivided species.

K K Morgan1, J Hicks, K Spitze, L Latta, M E Pfrender, C S Weaver, M Ottone, M Lynch.   

Abstract

Understanding the utility and limitations of molecular markers for predicting the evolutionary potential of natural populations is important for both evolutionary and conservation genetics. To address this issue, the distribution of genetic variation for quantitative traits and molecular markers is estimated within and among 14 permanent lake populations of Daphnia pulicaria representing two regional groups from Oregon. Estimates of population subdivision for molecular and quantitative traits are concordant, with QST generally exceeding GST. There is no evidence that microsatellites loci are less informative about subdivision for quantitative traits than are allozyme loci. Character-specific comparison of QST and GST support divergent selection pressures among populations for the majority of life-history traits in both coast and mountain regions. The level of within-population variation for molecular markers is uninformative as to the genetic variation maintained for quantitative traits. In D. pulicaria, regional differences in the frequency of sex may contribute to variation in the maintenance of expressed within-population quantitative-genetic variation without substantially impacting diversity at the genic level. These data are compared to an identical dataset for 17 populations of the temporary-pond species, D. pulex.

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Year:  2001        PMID: 11681731     DOI: 10.1111/j.0014-3820.2001.tb00825.x

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  16 in total

Review 1.  Phylogenetic approaches for describing and comparing the diversity of microbial communities.

Authors:  Andrew P Martin
Journal:  Appl Environ Microbiol       Date:  2002-08       Impact factor: 4.792

2.  Diet restriction and life history trade-offs in short- and long-lived species of Daphnia.

Authors:  Leigh Clark Latta; Shannon Frederick; Michael Eugene Pfrender
Journal:  J Exp Zool A Ecol Genet Physiol       Date:  2011-09-26

3.  Mapping quantitative trait loci in multiple populations of Arabidopsis thaliana identifies natural allelic variation for trichome density.

Authors:  V Vaughan Symonds; A Veronica Godoy; Teresa Alconada; Javier F Botto; Thomas E Juenger; Jorge J Casal; Alan M Lloyd
Journal:  Genetics       Date:  2005-01-16       Impact factor: 4.562

4.  Bias and precision in QST estimates: problems and some solutions.

Authors:  R B O'Hara; J Merilä
Journal:  Genetics       Date:  2005-08-05       Impact factor: 4.562

5.  The effect of variable frequency of sexual reproduction on the genetic structure of natural populations of a cyclical parthenogen.

Authors:  Desiree E Allen; Michael Lynch
Journal:  Evolution       Date:  2011-11-06       Impact factor: 3.694

6.  Genetic control of male production in Daphnia pulex.

Authors:  Zhiqiang Ye; Cécile Molinier; Chaoxian Zhao; Christoph R Haag; Michael Lynch
Journal:  Proc Natl Acad Sci U S A       Date:  2019-07-18       Impact factor: 11.205

7.  Adaptation to local ultraviolet radiation conditions among neighbouring Daphnia populations.

Authors:  Brooks E Miner; Benjamin Kerr
Journal:  Proc Biol Sci       Date:  2010-10-13       Impact factor: 5.349

8.  The effect of spontaneous mutations on competitive ability.

Authors:  S Schaack; D E Allen; L C Latta; K K Morgan; M Lynch
Journal:  J Evol Biol       Date:  2012-12-17       Impact factor: 2.411

9.  Genomic background and generation time influence deleterious mutation rates in Daphnia.

Authors:  Leigh C Latta; Kendall K Morgan; Casse S Weaver; Desiree Allen; Sarah Schaack; Michael Lynch
Journal:  Genetics       Date:  2012-11-26       Impact factor: 4.562

10.  Transcontinental phylogeography of the Daphnia pulex species complex.

Authors:  Teresa J Crease; Angela R Omilian; Katie S Costanzo; Derek J Taylor
Journal:  PLoS One       Date:  2012-10-03       Impact factor: 3.240

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