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Association mapping of cadmium, copper and hydrogen peroxide tolerance of roots and translocation capacities of cadmium and copper in Arabidopsis thaliana
Authors:Tanveer Tazib  Yuriko Kobayashi  Takashi Ikka  Cheng-Ri Zhao  Satoshi Iuchi  Masatomo Kobayashi  Kazuhiko Kimura  Hiroyuki Koyama
Institution:Laboratory of Plant Cell Technology, Faculty of Applied Biological Sciences, Gifu University, 501-1193, Gifu, Japan;BioResources Center, RIKEN, 3-1-1 Koyadai, Tsukuba, Ibaraki 305-0074, Japan;Department of Farm Management, Miyagi University, 981-3298, Sendai, Miyagi, Japan
Abstract:Association mapping analysis of Cd, Cu and H 2O 2 tolerance, judged by relative root length (RRL: % of root length in stress condition relative to that in control condition), and Cd and Cu translocation ratios (amount of metal in the shoot to the total) were performed using 90 accessions of Arabidopsis thaliana . Using 140 SNPs that were distributed across the genome, association mapping analysis was performed with a haploid setting by the Q + K method, which minimizes detection of false associations by combining the Q-matrix of the structured association (Q) with kinship (K) to control for the population structure. Six, five and five significant (−log 10 P -value is 1.3 ≥) linkages were detected between the SNPs and Cd, Cu and H2O2 resistant RRLs, respectively. In addition, six significant linkages were identified with translocation capacities of Cd and Cu. Among those detected loci, two each of Cu and Cd tolerance RRLs were collocated with those of H2O2 tolerance RRL, while one locus each was detected by Cu and Cd tolerance RRLs that collocated with their translocation ratios. These results suggested that these factors might partly explain the phenotypic variation of tolerance RRLs to Cd and Cu of Arabidopsis thaliana . Finally, using a different approach to analyze interactions between individual phenotypes, namely clustering analysis, we found an expected segregation of resistant SNPs (single-nucleotide polymorphisms) of the multiple RRLs in the typical accession groups carrying multiple traits. Almost none of the loci detected by association mapping analysis were linked to the loci of previously identified critical genes regulating the traits, suggesting that this could be useful to identify complex architecture of genetic factors determining variation among multiple accessions.
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