profiling the dynamics of abscisic acid and aba-glucose ester after using the glucosyltransferase ugt71c5 to mediate abscisic acid homeostasis in arabidopsis thaliana by hplc–esi-ms/ms

Clicks: 199
ID: 181377
2014
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Popular

Ranked #138 of 187 articles by views in Frontiers in plant science

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 187 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
The HPLC–MS/MS method was developed to profile the dynamics of abscisic acid (ABA) and ABA-glucose ester (ABA-GE) after cloning glycosyltransferase enzyme family gene AtUGT71C5 into Arabidopsis thaliana. By constructing over-expression lines (OE) and down-expression lines (DN), we acquired mutant strains to analyze the function of AtUGT71C5. The multiple-reaction monitoring (MRM) was used for quantitative determination in negative mode. The transition was m/z 263.1→153.0 for ABA ([M–H]+), m/z 425.1→263.0 for ABA-GE ([M–H]+), and m/z 321.0→152.0 for chloramphenicol. The linear range was 0.8684–217.1 ng/mL for ABA and 0.3920–196.0 ng/mL for ABA-GE. The accuracy was 88.0–109.0% for ABA and 86.6–113.0% for ABA-GE; the inter-day and intra-day precisions were less than 5.4% for ABA and 8.9% for ABA-GE, respectively. This method is simple and sensitive enough for determination of ABA and ABA-GE in A. thaliana leaves. All the evidence confirmed the speculation that AtUGT71C5 can mediate abscisic acid homeostasis. Keywords: HPLC–MS/MS, ABA, ABA-GE, AtUGT71C5
Reference Key
xiong2014journalprofiling Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Dong-Mei Xiong;Zhen Liu;Han Chen;Jin-Tao Xue;Yi Yang;Cong Chen;Li-Ming Ye
Journal Frontiers in plant science
Year 2014
DOI
DOI not found
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.