Literature DB >> 25041406

Quantitative trait loci mapping of metal concentrations in leaves of the maize IBM population.

Zvonimir Zdunić1, Sonja Grljušić, Tatjana Ledenčan, Tomislav Duvnjak, Domagoj Simić.   

Abstract

Characterizing concentrations of several beneficiary and toxic metals in maize leaves is of importance for ionomic studies and for silage production. The intermated B73 × Mo17 maize population (IBM) was evaluated for concentrations of eight metals (cadmium - Cd, copper - Cu, iron - Fe, potassium - K, magnesium - Mg, manganese - Mn, strontium - Sr and zinc - Zn) in ear-leaf to map quantitative trait loci (QTL) with 2161 molecular markers across the genome. QTL analysis revealed nine significant QTLs for concentrations of Cd, Cu, Fe, K, Mg and Sr combined over two environments. Median resolution for the QTL interval was less than 1 cM on a regular F2 map, which is a big improvement compared with the prior mapping (8 cM). The highest LOD scores of 15.52 and 15.31 were detected for K and Cd concentrations, respectively, explaining more than 20 percent of the phenotypic variance. No QTLs were found to be colocalized. QTL mapping in the IBM population did not confirm our earlier QTL results demonstrating considerable QTL ×genetic background interaction. The only exception is confirmation of the major QTL for Cd accumulation on chromosome 2. Our results could facilitate further genetic and physical mapping of genes for metal accumulation in maize.
© 2014 The Authors.

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Year:  2014        PMID: 25041406     DOI: 10.1111/hrd2.00048

Source DB:  PubMed          Journal:  Hereditas        ISSN: 0018-0661            Impact factor:   3.271


  8 in total

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2.  Genome-Wide Association Analysis Reveals the Genetic Basis of Iron-Deficiency Stress Tolerance in Maize.

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7.  Genome-Wide Association Study of Cadmium Accumulation at the Seedling Stage in Rapeseed (Brassica napus L.).

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Journal:  Front Plant Sci       Date:  2018-04-19       Impact factor: 5.753

8.  Genetic and Physiological Characterization of a Calcium Deficiency Phenotype in Maize.

Authors:  Yanli Wang; Lais Bastos Martins; Shannon Sermons; Peter Balint-Kurti
Journal:  G3 (Bethesda)       Date:  2020-06-01       Impact factor: 3.154

  8 in total

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