Chapter title |
High-Throughput Phenotyping in Plant Stress Response: Methods and Potential Applications to Polyamine Field
|
---|---|
Chapter number | 31 |
Book title |
Polyamines
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7398-9_31 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7397-2, 978-1-4939-7398-9
|
Authors |
D. Marko, N. Briglia, S. Summerer, A. Petrozza, F. Cellini, R. Iannacone |
Abstract |
High-throughput phenotyping has opened whole new perspectives for crop improvement and better understanding of quantitative traits in plants. Generation of loss-of-function and gain-of-function plant mutants requires processing and imaging a large number of plants in order to determine unknown gene functions and phenotypic changes generated by genetic modifications or selection of new traits. The use of phenomics for the evaluation of transgenic lines contributed significantly to the identification of plants more tolerant to biotic/abiotic stresses and furthermore, helped in the identification of unknown gene functions. In this chapter we describe the High-throughput phenotyping (HTP) platform working in our facility, drawing the general protocol and showing some examples of data obtainable from the platform. Tomato transgenic plants over-expressing the arginine decarboxylase 2 gene, which is involved in the polyamine biosynthetic pathway, were analyzed through our HTP facility for their tolerance to abiotic stress and significant differences in water content and ability to recover after drought stress where highlighted. This demonstrates the applicability of this methodology to the plant polyamine field. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 23 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 35% |
Student > Ph. D. Student | 6 | 26% |
Student > Master | 3 | 13% |
Other | 1 | 4% |
Professor > Associate Professor | 1 | 4% |
Other | 0 | 0% |
Unknown | 4 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 8 | 35% |
Environmental Science | 3 | 13% |
Engineering | 2 | 9% |
Biochemistry, Genetics and Molecular Biology | 2 | 9% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
Other | 2 | 9% |
Unknown | 5 | 22% |