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Serine-rich protein is a novel positive regulator for silicon accumulation in mangrove

Overview of attention for article published in Gene, December 2014
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Title
Serine-rich protein is a novel positive regulator for silicon accumulation in mangrove
Published in
Gene, December 2014
DOI 10.1016/j.gene.2014.11.055
Pubmed ID
Authors

Mahbod Sahebi, Mohamed M. Hanafi, A. Siti Nor Akmar, Mohd Y. Rafii, Parisa Azizi, A.S. Idris

Abstract

Silicon(Si) plays an important role in reducing plant susceptibility against a variety of different biotic and abiotic stresses; and also has an important regulatory role in soil to avoid heavy metal toxicity and providing suitable growing conditions for plants. A full-length cDNA of 696bp of serine-rich protein was cloned from mangrove plant (Rhizophoraapiculata) by amplification of cDNA ends from an expressed sequence tag homologous to groundnut (Arachishypogaea), submitted to NCBI (KF211374). This serine-richprotein gene encodes a deduced protein of 223 amino acids. The transcript titre of the serine-rich protein was found to be strongly enriched in roots compared with the leaves of two months old mangrove plants and expression level of this serine-rich protein was found to be strongly induced when the mangrove seedlings were exposed to SiO2. Expression of the serine-rich protein transgenic was detected in transgenic A. thaliana, where the amount of serine increased from 1.02 to 37.8mg/g. The same trend was also seen in Si content in the roots (14.3%) and leaves (7.4%) of the transgenic A. thaliana compared to the wild-type plants under Si treatment. The biological results demonstrated that the accumulation of the serine amino acid in the vegetative tissues of the transgenic plants enhanced their ability to absorb and accumulate more Si in the roots and leaves and suggests that the serine-rich protein gene has potential for use in genetic engineering of different stress tolerance characteristics.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 17%
Student > Doctoral Student 7 15%
Researcher 6 13%
Student > Master 5 10%
Professor 3 6%
Other 5 10%
Unknown 14 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 48%
Chemistry 3 6%
Biochemistry, Genetics and Molecular Biology 3 6%
Environmental Science 2 4%
Unspecified 1 2%
Other 2 4%
Unknown 14 29%
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 06 December 2014.
All research outputs
#22,758,309
of 25,373,627 outputs
Outputs from Gene
#9,623
of 10,913 outputs
Outputs of similar age
#314,550
of 368,282 outputs
Outputs of similar age from Gene
#68
of 107 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,913 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 107 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.