Literature DB >> 11431702

Dwarf8 polymorphisms associate with variation in flowering time.

J M Thornsberry1, M M Goodman, J Doebley, S Kresovich, D Nielsen, E S Buckler.   

Abstract

Historically, association tests have been used extensively in medical genetics, but have had virtually no application in plant genetics. One obstacle to their application is the structured populations often found in crop plants, which may lead to nonfunctional, spurious associations. In this study, statistical methods to account for population structure were extended for use with quantitative variation and applied to our evaluation of maize flowering time. Mutagenesis and quantitative trait locus (QTL) studies suggested that the maize gene Dwarf8 might affect the quantitative variation of maize flowering time and plant height. The wheat orthologs of this gene contributed to the increased yields seen in the 'Green Revolution' varieties. We used association approaches to evaluate Dwarf8 sequence polymorphisms from 92 maize inbred lines. Population structure was estimated using a Bayesian analysis of 141 simple sequence repeat (SSR) loci. Our results indicate that a suite of polymorphisms associate with differences in flowering time, which include a deletion that may alter a key domain in the coding region. The distribution of nonsynonymous polymorphisms suggests that Dwarf8 has been a target of selection.

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Year:  2001        PMID: 11431702     DOI: 10.1038/90135

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  358 in total

1.  Structure of linkage disequilibrium and phenotypic associations in the maize genome.

Authors:  D L Remington; J M Thornsberry; Y Matsuoka; L M Wilson; S R Whitt; J Doebley; S Kresovich; M M Goodman; E S Buckler
Journal:  Proc Natl Acad Sci U S A       Date:  2001-09-18       Impact factor: 11.205

2.  Comparative use of InDel and SSR markers in deciphering the interspecific structure of cultivated citrus genetic diversity: a perspective for genetic association studies.

Authors:  Andrés García-Lor; François Luro; Luis Navarro; Patrick Ollitrault
Journal:  Mol Genet Genomics       Date:  2011-12-11       Impact factor: 3.291

3.  Testing for population subdivision and association in four case-control studies.

Authors:  Kristin G Ardlie; Kathryn L Lunetta; Mark Seielstad
Journal:  Am J Hum Genet       Date:  2002-07-02       Impact factor: 11.025

4.  Matching strategies for genetic association studies in structured populations.

Authors:  David A Hinds; Renee P Stokowski; Nila Patil; Karel Konvicka; David Kershenobich; David R Cox; Dennis G Ballinger
Journal:  Am J Hum Genet       Date:  2004-01-21       Impact factor: 11.025

5.  Genetic structure and diversity among maize inbred lines as inferred from DNA microsatellites.

Authors:  Kejun Liu; Major Goodman; Spencer Muse; J Stephen Smith; Ed Buckler; John Doebley
Journal:  Genetics       Date:  2003-12       Impact factor: 4.562

6.  The impact of genomics on the study of natural variation in Arabidopsis.

Authors:  Justin O Borevitz; Magnus Nordborg
Journal:  Plant Physiol       Date:  2003-06       Impact factor: 8.340

Review 7.  The lowdown on linkage disequilibrium.

Authors:  Brandon S Gaut; Anthony D Long
Journal:  Plant Cell       Date:  2003-07       Impact factor: 11.277

8.  Contrasting effects of selection on sequence diversity and linkage disequilibrium at two phytoene synthase loci.

Authors:  Kelly A Palaisa; Michele Morgante; Mark Williams; Antoni Rafalski
Journal:  Plant Cell       Date:  2003-08       Impact factor: 11.277

9.  Linkage disequilibrium based association mapping of micronutrients in common bean (Phaseolus vulgaris L.): a collection of Jammu & Kashmir, India.

Authors:  Reetika Mahajan; Sajad Majeed Zargar; R K Salgotra; Ravinder Singh; Aijaz Ahmad Wani; Muslima Nazir; Parvaze A Sofi
Journal:  3 Biotech       Date:  2017-08-30       Impact factor: 2.406

10.  Nucleotide polymorphism and linkage disequilibrium within and among natural populations of European aspen (Populus tremula L., Salicaceae).

Authors:  Pär K Ingvarsson
Journal:  Genetics       Date:  2004-10-16       Impact factor: 4.562

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