Evidence map›Paper›PMID 21109994›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2011

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

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

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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

P R H RobsonIBERS, Aberystwyth University, Aberystwyth, UK. ppr@aber.ac.uk
R Kelly
E F Jensen
G D Giddings
M Leitch
C Davey
A P Gay
G Jenkins
H Thomas
I S Donnison

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Genetic TechniquesAnalysis of VarianceBreedingCalibrationGene FlowGenetics, PopulationMicrosatellite RepeatsModels, GeneticPollenZea mays

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.