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Characterization of the HMA7 gene and transcriptomic analysis of candidate genes for copper tolerance in two Silene vulgaris ecotypes

SYSNO ASEP	0455510
Document Type	J - Journal Article
R&D Document Type	Journal Article
Subsidiary J	Článek ve WOS
Title	Characterization of the HMA7 gene and transcriptomic analysis of candidate genes for copper tolerance in two Silene vulgaris ecotypes
Author(s)	Baloun, J. (CZ) Nevrtalová, E. (CZ) Kováčová, V. (CZ) Hudzieczek, V. (CZ) Čegan, R. (CZ) Vyskot, B. (CZ) Hobza, Roman (UEB-Q)_{RID, ORCID}
Source Title	Journal of Plant Physiology. - : Elsevier - ISSN 0176-1617 Roč. 171, č. 13 (2014), s. 1188-1196
Number of pages	9 s.
Language	eng - English
Country	PT - Portugal
Keywords	Copper ; Genes coding ROS-eliminating and Cu-transporting proteins ; RNA-Seq database
Subject RIV	EB - Genetics ; Molecular Biology
R&D Projects	GBP501/12/G090 GA ČR - Czech Science Foundation (CSF)
Institutional support	UEB-Q - RVO:61389030
UT WOS	000345629900011
DOI	10.1016/j.jplph.2014.04.014
Annotation	Silene vulgaris possesses ecotype-specific tolerance to high levels of copper in the soil. Although this was reported a few decades ago, little is known about this trait on a molecular level. The aim of this study was to analyze the transcription response to elevated copper concentrations in two S. vulgaris ecotypes originating from copper-contrasting soil types - copper-tolerant Lubietova and copper-sensitive Stranska skala. To reveal if plants are transcriptionally affected, we first analyzed the HMA7 gene, a known key player in copper metabolism. Based on BAC library screening, we identified a BAC clone containing a SvHMA7 sequence with all the structural properties specific for plant copper-transporting ATPases. The functionality of the gene was tested using heterologous complementation in yeast mutants. Analyses of SvHMA7 transcription patterns showed that both ecotypes studied up-regulated SvHMA7 transcription after the copper treatment. Our data are supported by analysis of appropriate reference genes based on RNA-Seq databases.
Workplace	Institute of Experimental Botany
Contact	David Klier, knihovna@ueb.cas.cz, Tel.: 220 390 469
Year of Publishing	2016

Number of the records: 1