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Genome-wide identification, characterisation and expression profiles of calcium-dependent protein kinase genes in barley (Hordeum vulgare L.)

Overview of attention for article published in Journal of Applied Genetics, July 2016
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Title
Genome-wide identification, characterisation and expression profiles of calcium-dependent protein kinase genes in barley (Hordeum vulgare L.)
Published in
Journal of Applied Genetics, July 2016
DOI 10.1007/s13353-016-0357-2
Pubmed ID
Authors

Olga Fedorowicz-Strońska, Grzegorz Koczyk, Małgorzata Kaczmarek, Paweł Krajewski, Jan Sadowski

Abstract

In plant cells, calcium-dependent protein kinases (CDPKs) are important sensors of Ca(2+) flux resulting from various environmental stresses like cold, drought or salt stress. Previous genome sequence analysis and comparative studies in Arabidopsis (Arabidopsis thaliana L.) and rice (Oryza sativa L.) defined a multi-gene family of CDPKs. Here, we identified and characterised the CDPK gene complement of the model plant, barley (Hordeum vulgare L.). Comparative analysis encompassed phylogeny reconstruction based on newly available barley genome sequence, as well as established model genomes (e.g. O. sativa, A. thaliana, Brachypodium distachyon). Functional gene copies possessed characteristic CDPK domain architecture, including a serine/threonine kinase domain and four regulatory EF-hand motifs. In silico verification was followed by measurements of transcript abundance via real-time polymerase chain reaction (PCR). The relative expression of CDPK genes was determined in the vegetative growth stage under intensifying drought stress conditions. The majority of barley CDPK genes showed distinct changes in patterns of expression during exposure to stress. Our study constitutes evidence for involvement of the barley CDPK gene complement in signal transduction pathways relating to adaptation to drought. Our bioinformatics and transcriptomic analyses will provide an important foundation for further functional dissection of the barley CDPK gene family.

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Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 20%
Student > Bachelor 3 12%
Student > Ph. D. Student 3 12%
Student > Master 2 8%
Professor 1 4%
Other 0 0%
Unknown 11 44%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 40%
Biochemistry, Genetics and Molecular Biology 3 12%
Psychology 1 4%
Unknown 11 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 July 2016.
All research outputs
#18,466,238
of 22,881,154 outputs
Outputs from Journal of Applied Genetics
#247
of 393 outputs
Outputs of similar age
#280,286
of 364,027 outputs
Outputs of similar age from Journal of Applied Genetics
#5
of 9 outputs
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