Literature DB >> 21109994

A flexible quantitative methodology for the analysis of gene-flow between conventionally bred maize populations using microsatellite markers.

P R H Robson1, R Kelly, E F Jensen, G D Giddings, M Leitch, C Davey, A P Gay, G Jenkins, H Thomas, I S Donnison.   

Abstract

Previous studies of gene-flow in agriculture have used a range of physical and biochemical markers, including transgenes. However, physical and biochemical markers are not available for all commercial varieties, and transgenes are difficult to use when trying to estimate gene flow in the field where the use of transgenes is often restricted. Here, we demonstrate the use of simple sequence repeat microsatellite markers (SSRs) to study gene flow in maize. Developing the first quantitative analysis of pooled SSR samples resulted in a high sampling efficiency which minimised the use of resources and greatly enhanced the possibility of hybrid detection. We were able to quantitatively distinguish hybrids in pools of ten samples from non-hybrid parental lines in all of the 24 pair-wise combinations of commercial varieties tested. The technique was used to determine gene flow in field studies, from which a simple model describing gene flow in maize was developed.

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Year:  2010        PMID: 21109994     DOI: 10.1007/s00122-010-1489-0

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  19 in total

1.  A generalized heterozygote deficiency assessed with microsatellites in French common ash populations.

Authors:  M-E Morand; S Brachet; P Rossignol; J Dufour; N Frascaria-Lacoste
Journal:  Mol Ecol       Date:  2002-03       Impact factor: 6.185

2.  A high-density molecular map for ryegrass (Lolium perenne) using AFLP markers.

Authors:  P F Bert; G Charmet; P Sourdille; M D Hayward; F Balfourier
Journal:  Theor Appl Genet       Date:  1999-08       Impact factor: 5.699

3.  A study of crop-to-crop gene flow using farm scale sites of fodder maize (Zea mays L.) in the UK.

Authors:  Rebecca Weekes; Theodore Allnutt; Caroline Boffey; Sarah Morgan; Mark Bilton; Roger Daniels; Christine Henry
Journal:  Transgenic Res       Date:  2006-11-11       Impact factor: 2.788

4.  Modelling and estimating pollen movement in oilseed rape (Brassica napus) at the landscape scale using genetic markers.

Authors:  C Devaux; C Lavigne; F Austerlitz; E K Klein
Journal:  Mol Ecol       Date:  2007-02       Impact factor: 6.185

5.  Unequal crossingover between homologous chromosomes is not the major mechanism involved in the generation of new alleles at VNTR loci.

Authors:  R K Wolff; R Plaetke; A J Jeffreys; R White
Journal:  Genomics       Date:  1989-08       Impact factor: 5.736

6.  Event-specific quantitative detection of nine genetically modified maizes using one novel standard reference molecule.

Authors:  Litao Yang; Jinchao Guo; Aihu Pan; Haibo Zhang; Kewei Zhang; Zhengming Wang; Dabing Zhang
Journal:  J Agric Food Chem       Date:  2007-01-10       Impact factor: 5.279

7.  Microsatellite instability in yeast: dependence on the length of the microsatellite.

Authors:  M Wierdl; M Dominska; T D Petes
Journal:  Genetics       Date:  1997-07       Impact factor: 4.562

8.  Relative mutation rates at di-, tri-, and tetranucleotide microsatellite loci.

Authors:  R Chakraborty; M Kimmel; D N Stivers; L J Davison; R Deka
Journal:  Proc Natl Acad Sci U S A       Date:  1997-02-04       Impact factor: 11.205

9.  Simple sequences are ubiquitous repetitive components of eukaryotic genomes.

Authors:  D Tautz; M Renz
Journal:  Nucleic Acids Res       Date:  1984-05-25       Impact factor: 16.971

10.  Transgenes in Mexican maize: molecular evidence and methodological considerations for GMO detection in landrace populations.

Authors:  A Piñeyro-Nelson; J Van Heerwaarden; H R Perales; J A Serratos-Hernández; A Rangel; M B Hufford; P Gepts; A Garay-Arroyo; R Rivera-Bustamante; E R Alvarez-Buylla
Journal:  Mol Ecol       Date:  2008-12-18       Impact factor: 6.185

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