↓ Skip to main content

Identification and functional characterization of silicon transporters in soybean using comparative genomics of major intrinsic proteins in Arabidopsis and rice

Overview of attention for article published in Plant Molecular Biology, June 2013
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

twitter
1 X user
f1000
1 research highlight platform

Citations

dimensions_citation
220 Dimensions

Readers on

mendeley
145 Mendeley
Title
Identification and functional characterization of silicon transporters in soybean using comparative genomics of major intrinsic proteins in Arabidopsis and rice
Published in
Plant Molecular Biology, June 2013
DOI 10.1007/s11103-013-0087-3
Pubmed ID
Authors

Rupesh K. Deshmukh, Julien Vivancos, Valérie Guérin, Humira Sonah, Caroline Labbé, François Belzile, Richard R. Bélanger

Abstract

Silicon (Si) confers several benefits to many plant species when absorbed as silicic acid through nodulin 26-like intrinsic proteins (NIPs). The NIPs belong to major intrinsic protein (MIP) family, members of which form channels with high selectivity to control transport of water and different solutes. Here, comparative genomic analysis of the MIPs was performed to investigate the presence of Si transporter MIPs in soybean. Thorough analysis of phylogeny, gene organization, transcriptome profiling and protein modeling was performed to characterize MIPs in rice, Arabidopsis and soybean. Based on several attributes, two putative Si transporter genes, GmNIP2-1 and GmNIP2-2, were identified, characterized and cloned from soybean. Expression of both genes was detected in shoot and root tissues, and decreased as Si increased. The protein encoded by GmNIP2-2 showed functionality for Si transport when expressed in Xenopus oocytes, thus confirming the genetic capability of soybean to absorb the element. Comparative analysis of MIPs in plants provides opportunities to decipher gene evolution, functionality and selectivity of nutrient uptake mechanisms. Exploitation of this strategy has helped to uncover unique features of MIPs in soybean. The identification and functional characterization of Si transporters can be exploited to optimize the benefits that plants can derive from Si absorption.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Israel 1 <1%
Unknown 144 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 20%
Student > Master 22 15%
Researcher 18 12%
Student > Doctoral Student 11 8%
Student > Bachelor 8 6%
Other 23 16%
Unknown 34 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 80 55%
Biochemistry, Genetics and Molecular Biology 16 11%
Chemistry 3 2%
Unspecified 2 1%
Environmental Science 1 <1%
Other 4 3%
Unknown 39 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 29 February 2016.
All research outputs
#14,183,419
of 22,733,113 outputs
Outputs from Plant Molecular Biology
#2,245
of 2,844 outputs
Outputs of similar age
#111,898
of 197,720 outputs
Outputs of similar age from Plant Molecular Biology
#5
of 12 outputs
Altmetric has tracked 22,733,113 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,844 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 19th percentile – i.e., 19% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 197,720 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.