plantsT logo
Home  |  Search  |  Families  |  ICP  |  Papers  |  Site Map  | 
 





Inductively coupled plasma optical emission spectroscopy (ICP-OES or ICP-AES) is a technique for elemental analysis. The sample to be analysed is normally dissolved and then mixed with water before being fed into the machine.

Atoms in the plasma emit light with characteristic wavelengths for each element. This light is recorded by one or more optical spectrometers and when calibrated against standards the technique provides a quantitative analysis of the original sample.

We have information regarding mineral concentration in Saccharomyces cerevisiae and Arabidopsis thaliana. Search our database for experiments performed on various lines in these species. Or you can view the Arabidopsis Ionomics Database below.

Arabidopsis Ionomics Database (Salt Lab Screen)
Arabidopsis Ionomics Database (Schroeder Lab screen)

-We describe here the use of mineral nutrient and trace element profiling as a new tool to determine the biological significance of connections between a plants genome and its elemental-profile. Using inductively-coupled plasma mass spectrometry (ICP-MS and ICP-AES) we have quantified Li, Na, Mg, P, K, Ca, Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Se, Mo, Cd and Pb in shoots of 10,600 fast neutron mutagenized Arabidopsis thaliana plants consisting of 5847 M2 plants (representing 2373 M1 parental lines Salt lab and 1100 parental lines Schroeder lab) and 420 M3 families selected in the M2 generation for their modified elemental-profiles. All elemental-profile data for both the M2 and M3 plants is available in a searchable database format and seed from each M3 family will be available at the ABRC.


Significant hits obtained by querying this database has been aligned to the Arabidopsis proteome and parsed results are available.
For ORF that showed a z value greater than 3 click here.
For ORF that showed a z value less than -3 click here.

 
       
 
Yeast Deletion Series
You can search for yeast deletion strains with modified mineral accumulation by keywords, overall change (fold or Z-score), or changes in specific elements and combinations of elements.

Keyword Search What are appropriate keywords? The search will try to locate anything and everything that matches the letters, SO words like 'and' will most likely pull out everything in the database. Good keywords to use are, for example, gene names, orf designations, and general gene function (i.e. kinase, transporter). That should be it! Happy searching.

Enter keywords:

       
  Search by overall change Global selection of parameters for all the knock outs in each experiment. With this search you will be able to retrieve genes based on element uptake. The notable change corresponds to a user specified criteria on which the query operates. So if you were to choose > -100 (i.e., greater than 100 fold reduction) it will most probably pull out everything.
  Notable Change
    Replicated data
normalized to wt
within expt
    Non-Replicated data
normalized to wt
within expt
   
    Replicated data
normalized to
overall wt
    Non-Replicated data
normalized to
overall wt
 
Normalized   
by
Display
Criteria   
Elements
and λ
 
 
         
  Search by specific element combinations

Use this form to select combination of elements that show the desired increase or decrease in uptake.
  Replicated data (normalized to wt within expt) Non Replicated data (normalized to wt within expt)
  Replicated data (normalized to overall wt) Non Replicated data (normalized to overall wt)
  Normalized by Display Criteria
 
           
Na   Mg   P  
K   Ca   Cr  
Mn   Fe   Co  
Ni   Cu   Zn  
B   Se   Mo  
S   
   
   
 

A distributed project investigating gene networks that control uptake and accumulation of plant nutrients and toxic metals. Funded by the plant genome program of the National Science Foundation (DBI-0077378). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.

Questions or comments? Please contact us.

© 2005-2007 Purdue University
portions © 2000-2004, Regents of University of California