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Identification of genetic factors controlling the efficiency of Agrobacterium rhizogenes-mediated transformation in Brassica oleracea by QTL analysis

Authors :
H. J. Newbury
I. J. Puddephat
Noel O. I. Cogan
Michael J. Kearsey
James R. Lynn
Graham J.W. King
Source :
Theoretical and Applied Genetics. 105:568-576
Publication Year :
2002
Publisher :
Springer Science and Business Media LLC, 2002.

Abstract

We have identified quantitative trait loci (QTL) for transgenic and adventitious root production using an Agrobacterium rhizogenes-mediated co-transformation system in conjunction with a Brassica oleracea double haploid (DH) mapping population. Three QTL for green fluorescent protein (GFP)-fluorescent root production and four QTL for adventitious root production were identified as accounting for 26% and 32% of the genetic variation in the population, respectively. Two of the QTL regions identified were common to both transgenic and adventitious root production. Two different methods of QTL analysis were employed (marker regression and interval mapping) and with the exception of one region on linkage group O7 for transgenic root production, both techniques detected the same regions of the genome. The regions we identified to be associated with the control of transgenic root production following A. rhizogenes-mediated transformation are the first to be detected using a QTL mapping approach. In addition, this is the first study to identify genetic regions that co-regulate both transgenic and adventitious root production within the constraints of an A. rhizogenes-mediated transformation process. We have identified plant genotypes that do not produce any transgenic roots that may be deficient for T-DNA integration via illegitimate recombination and that may also be potentially important for the development of homologous recombination protocols. Conversely, we have also identified plant genotypes with high rates of transgenic root production that will be critical in the development of high throughput transformation systems.

Details

ISSN :
14322242 and 00405752
Volume :
105
Database :
OpenAIRE
Journal :
Theoretical and Applied Genetics
Accession number :
edsair.doi.dedup.....8a321cb8ac3e04368a53cae2d47f80e5
Full Text :
https://doi.org/10.1007/s00122-002-0905-5