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QTL meta-analysis of root traits in Brassica napus under contrasting phosphorus supply in two growth systems

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Zhang, Y., Thomas, C. L., Xiang, J., Long, Y., Wang, X., Zou, J., Luo, Z., Ding, G., Cai, H., Graham, N. S., Hammond, J. P., King, G. J., White, P. J., Xu, F., Broadley, M. R., Shi, L. and Meng, J. (2016) QTL meta-analysis of root traits in Brassica napus under contrasting phosphorus supply in two growth systems. Scientific Reports, 6. 33113. ISSN 2045-2322

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To link to this item DOI: 10.1038/srep33113

Abstract/Summary

A high-density SNP-based genetic linkage map was constructed and integrated with a previous map in the Tapidor x Ningyou7 (TNDH) Brassica napus population, giving a new map with a total of 2041 molecular markers and an average marker density which increased from 0.39 to 0.97 (0.82 SNP bin) per cM. Root and shoot traits were screened under low and ‘normal’ phosphate (Pi) supply using a ‘pouch and wick’ system, and had been screened previously in an agar based system. The P-efficient parent Ningyou7 had a shorter primary root length (PRL), greater lateral root density (LRD) and a greater shoot biomass than the P-inefficient parent Tapidor under both treatments and growth systems. Quantitative trait loci (QTL) analysis identified a total of 131 QTL, and QTL meta-analysis found four integrated QTL across the growth systems. Integration reduced the confidence interval by ~41%. QTL for root and shoot biomass were co-located on chromosome A3 and for lateral root emergence were co-located on chromosomes A4/C4 and C8/C9. There was a major QTL for LRD on chromosome C9 explaining ~18% of the phenotypic variation. QTL underlying an increased LRD may be a useful breeding target for P uptake efficiency in Brassica.

Item Type:Article
Refereed:Yes
Divisions:Interdisciplinary centres and themes > Centre for Food Security
Interdisciplinary centres and themes > Soil Research Centre
Faculty of Life Sciences > School of Agriculture, Policy and Development > Biodiversity, Crops and Agroecosystems Division > Crops Research Group
ID Code:66806
Publisher:Nature Publishing Group

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