Title |
Carbohydrates in plant immunity and plant protection: roles and potential application as foliar sprays
|
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Published in |
Frontiers in Plant Science, November 2014
|
DOI | 10.3389/fpls.2014.00592 |
Pubmed ID | |
Authors |
Sophie Trouvelot, Marie-Claire Héloir, Benoît Poinssot, Adrien Gauthier, Franck Paris, Christelle Guillier, Maud Combier, Lucie Trdá, Xavier Daire, Marielle Adrian |
Abstract |
Increasing interest is devoted to carbohydrates for their roles in plant immunity. Some of them are elicitors of plant defenses whereas other ones act as signaling molecules in a manner similar to phytohormones. This review first describes the main classes of carbohydrates associated to plant immunity, their role and mode of action. More precisely, the state of the art about perception of "PAMP, MAMP, and DAMP (Pathogen-, Microbe-, Damage-Associated Molecular Patterns) type" oligosaccharides is presented and examples of induced defense events are provided. A particular attention is paid to the structure/activity relationships of these compounds. The role of sugars as signaling molecules, especially in plant microbe interactions, is also presented. Secondly, the potentialities and limits of foliar sprays of carbohydrates to stimulate plant immunity for crop protection against diseases are discussed, with focus on the roles of the leaf cuticle and phyllosphere microflora. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 14% |
Switzerland | 1 | 14% |
Spain | 1 | 14% |
France | 1 | 14% |
Unknown | 3 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 4 | 57% |
Members of the public | 2 | 29% |
Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Mexico | 3 | <1% |
Brazil | 3 | <1% |
France | 2 | <1% |
Cuba | 1 | <1% |
India | 1 | <1% |
Germany | 1 | <1% |
New Zealand | 1 | <1% |
United Kingdom | 1 | <1% |
United States | 1 | <1% |
Other | 1 | <1% |
Unknown | 446 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 94 | 20% |
Student > Master | 63 | 14% |
Researcher | 57 | 12% |
Student > Bachelor | 35 | 8% |
Student > Doctoral Student | 31 | 7% |
Other | 60 | 13% |
Unknown | 121 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 204 | 44% |
Biochemistry, Genetics and Molecular Biology | 46 | 10% |
Chemistry | 23 | 5% |
Environmental Science | 20 | 4% |
Engineering | 9 | 2% |
Other | 27 | 6% |
Unknown | 132 | 29% |