Literature DB >> 23801071

A liquid chromatography/electrospray ionisation tandem mass spectrometry method for the simultaneous quantification of salicylic, jasmonic and abscisic acids in Coffea arabica leaves.

Marta de Sá1, João P Ferreira, Vagner T Queiroz, Luís Vilas-Boas, Maria C Silva, Maria H Almeida, Leonor Guerra-Guimarães, Maria R Bronze.   

Abstract

BACKGROUND: Plants have developed an efficient system of recognition that induces a complex network of signalling molecules such as salicylic acid (SA), jasmonic acid (JA) and abscisic acid (ABA) in case of a pathogenic infection. The use of specific and sensitive methods is mandatory for the analysis of compounds in these complex samples.
RESULTS: In this study a liquid chromatography/electrospray ionisation tandem mass spectrometry method was developed and validated for the simultaneous quantification of SA, JA and ABA in Coffea arabica (L.) leaves in order to understand the role of these phytohormones in the signalling network involved in the coffee defence response against Hemileia vastatrix. The results showed that the method was specific, linear (r ≥ 0.99) in the range 0.125-1.00 µg mL⁻¹ for JA and ABA and 0.125-5.00 µg mL⁻¹ for SA, and precise (relative standard deviation ≤11%), and the limit of detection (0.010 µg g⁻¹ fresh weight) was adequate for quantifying these phytohormones in this type of matrix.
CONCLUSION: In comparison with healthy leaves, those infected with H. vastatrix (resistance reaction) displayed an increase in SA level 24 h after inoculation, suggesting the involvement of an SA-dependent pathway in coffee resistance.
© 2013 Society of Chemical Industry.

Entities:  

Keywords:  Coffea sp; HPLC/ESI-MS/MS; Hemileia vastatrix; coffee rust; phytohormones; signalling

Mesh:

Substances:

Year:  2013        PMID: 23801071     DOI: 10.1002/jsfa.6288

Source DB:  PubMed          Journal:  J Sci Food Agric        ISSN: 0022-5142            Impact factor:   3.638


  7 in total

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Authors:  Tiago F Jorge; Ana T Mata; Carla António
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2016-10-28       Impact factor: 4.226

2.  Proteomic analysis of apoplastic fluid of Coffea arabica leaves highlights novel biomarkers for resistance against Hemileia vastatrix.

Authors:  Leonor Guerra-Guimarães; Rita Tenente; Carla Pinheiro; Inês Chaves; Maria do Céu Silva; Fernando M H Cardoso; Sébastien Planchon; Danielle R Barros; Jenny Renaut; Cândido P Ricardo
Journal:  Front Plant Sci       Date:  2015-06-30       Impact factor: 5.753

3.  A first insight into the involvement of phytohormones pathways in coffee resistance and susceptibility to Colletotrichum kahawae.

Authors:  Inês Diniz; Andreia Figueiredo; Andreia Loureiro; Dora Batista; Helena Azinheira; Vítor Várzea; Ana Paula Pereira; Elijah Gichuru; Pilar Moncada; Leonor Guerra-Guimarães; Helena Oliveira; Maria do Céu Silva
Journal:  PLoS One       Date:  2017-05-19       Impact factor: 3.240

4.  Flow-Batch Sample Preparation for Fractionation of the Stress Signaling Phytohormone Salicylic Acid in Fresh Leaves.

Authors:  Thiago L Marques; Milton K Sasaki; Lidiane C Nunes; Fábio R P Rocha
Journal:  J Anal Methods Chem       Date:  2020-07-17       Impact factor: 2.193

5.  Phytohormone Priming of Tomato Plants Evoke Differential Behavior in Rhizoctonia solani During Infection, With Salicylate Priming Imparting Greater Tolerance Than Jasmonate.

Authors:  Paulami Koley; Subhadip Brahmachari; Amitava Saha; Camelia Deb; Monimala Mondal; Nebedita Das; Arpan Das; Suvanwita Lahiri; Mayukh Das; Manisha Thakur; Surekha Kundu
Journal:  Front Plant Sci       Date:  2022-01-10       Impact factor: 5.753

6.  Sulfur-Induced Resistance against Pseudomonas syringae pv. actinidiae via Triggering Salicylic Acid Signaling Pathway in Kiwifruit.

Authors:  Zhuzhu Zhang; Youhua Long; Xianhui Yin; Sen Yang
Journal:  Int J Mol Sci       Date:  2021-11-24       Impact factor: 5.923

7.  Chitosan oligosaccharide induces resistance to Tobacco mosaic virus in Arabidopsis via the salicylic acid-mediated signalling pathway.

Authors:  Xiaochen Jia; Qingshan Meng; Haihong Zeng; Wenxia Wang; Heng Yin
Journal:  Sci Rep       Date:  2016-05-18       Impact factor: 4.379

  7 in total

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