Literature DB >> 12832640

Directional evolution for microsatellite size in maize.

Yves Vigouroux1, Yoshihiro Matsuoka, John Doebley.   

Abstract

Directional evolution in microsatellites is the tendency for microsatellites either to increase or to decrease in size over time between populations. We analyzed 99 microsatellite loci in a sample of 193 maize plants representing the entire pre-Columbian range of this crop for evidence of directional evolution. We took advantage of the known phylogeographic history of maize with the independent movement of maize from its ancestral location in Mexico to North and South America. We show that there is an increase in the average allele size of microsatellites in the geographically derived North and South American groups relative to the ancestral Mexican group. We also show that there is a negative correlation between average allele size and altitude in all three groups. Directional evolution in maize microsatellites can be explained by changes in the mutation rate over time and space, changes in the degree of mutational bias to a larger allele, demographic differences between the ancestral and geographically derived populations, and/or scenarios involving selection on microsatellite size. The occurrence of directional evolution for microsatellite size indicates that the estimation of population parameters with microsatellite data in maize should be done with caution.

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Year:  2003        PMID: 12832640     DOI: 10.1093/molbev/msg156

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  15 in total

1.  Population-specific links between heterozygosity and the rate human microsatellite evolution.

Authors:  William Amos
Journal:  J Mol Evol       Date:  2010-12-15       Impact factor: 2.395

2.  An analysis of genetic diversity across the maize genome using microsatellites.

Authors:  Yves Vigouroux; Sharon Mitchell; Yoshihiro Matsuoka; Martha Hamblin; Stephen Kresovich; J Stephen C Smith; Jennifer Jaqueth; Oscar S Smith; John Doebley
Journal:  Genetics       Date:  2005-01-16       Impact factor: 4.562

3.  Simulation of DNA sequence evolution under models of recent directional selection.

Authors:  Yuseob Kim; Thomas Wiehe
Journal:  Brief Bioinform       Date:  2008-12-24       Impact factor: 11.622

4.  Multilevel control of organelle DNA sequence length in plants.

Authors:  Jérôme Duminil; Delphine Grivet; Sébastien Ollier; Sylvain Jeandroz; Rémy J Petit
Journal:  J Mol Evol       Date:  2008-04-01       Impact factor: 2.395

5.  Estimation of pea (Pisum sativum L.) microsatellite mutation rate based on pedigree and single-seed descent analyses.

Authors:  Jaroslava Cieslarová; Pavel Hanáček; Eva Fialová; Miroslav Hýbl; Petr Smýkal
Journal:  J Appl Genet       Date:  2011-07-19       Impact factor: 3.240

6.  Genetic structure and diversity in Oryza sativa L.

Authors:  Amanda J Garris; Thomas H Tai; Jason Coburn; Steve Kresovich; Susan McCouch
Journal:  Genetics       Date:  2005-01-16       Impact factor: 4.562

7.  Characterization and comparison of gene-based simple sequence repeats across Brassica species.

Authors:  Caihua Gao; Zhanglin Tang; Jiaming Yin; Zeshan An; Donghui Fu; Jiana Li
Journal:  Mol Genet Genomics       Date:  2011-07-16       Impact factor: 3.291

8.  Evolution of hypervariable microsatellites in apomictic polyploid lineages of Ranunculus carpaticola: directional bias at dinucleotide loci.

Authors:  Ovidiu Paun; Elvira Hörandl
Journal:  Genetics       Date:  2006-06-18       Impact factor: 4.562

9.  Genetic structure and differentiation of Oryza sativa L. in China revealed by microsatellites.

Authors:  Dongling Zhang; Hongliang Zhang; Meixing Wang; Junli Sun; Yongwen Qi; Fengmei Wang; Xinghua Wei; Longzhi Han; Xiangkun Wang; Zichao Li
Journal:  Theor Appl Genet       Date:  2009-08-01       Impact factor: 5.699

10.  In silico comparative analysis of SSR markers in plants.

Authors:  Filipe C Victoria; Luciano C da Maia; Antonio Costa de Oliveira
Journal:  BMC Plant Biol       Date:  2011-01-19       Impact factor: 4.215

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