Title |
How Very-Long-Chain Fatty Acids Could Signal Stressful Conditions in Plants?
|
---|---|
Published in |
Frontiers in Plant Science, October 2016
|
DOI | 10.3389/fpls.2016.01490 |
Pubmed ID | |
Authors |
Antoine De Bigault Du Granrut, Jean-Luc Cacas |
Abstract |
Although encountered in minor amounts in plant cells, very-long-chain fatty acids exert crucial functions in developmental processes. When their levels are perturbed by means of genetic approaches, marked phenotypic consequences that range from severe growth retardation to embryo lethality was indeed reported. More recently, a growing body of findings has also accumulated that points to a potential role for these lipids as signals in governing both biotic and abiotic stress outcomes. In the present work, we discuss the latter theory and explore the ins and outs of very-long-chain fatty acid-based signaling in response to stress, with an attempt to reconcile two supposedly antagonistic parameters: the insoluble nature of fatty acids and their signaling function. To explain this apparent dilemma, we provide new interpretations of pre-existing data based on the fact that sphingolipids are the main reservoir of very-long-chain fatty acids in leaves. Thus, three non-exclusive, molecular scenarii that involve these lipids as membrane-embedded and free entities are proposed. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 75 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 19 | 25% |
Researcher | 10 | 13% |
Student > Master | 10 | 13% |
Student > Doctoral Student | 5 | 7% |
Student > Postgraduate | 5 | 7% |
Other | 14 | 19% |
Unknown | 12 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 34 | 45% |
Biochemistry, Genetics and Molecular Biology | 9 | 12% |
Chemistry | 3 | 4% |
Computer Science | 2 | 3% |
Unspecified | 2 | 3% |
Other | 8 | 11% |
Unknown | 17 | 23% |