Related Experiment Video
Updated: Jan 23, 2026
11:23
Phloem Sap Sampling from Brassica napus for 3D-PAGE of Protein and Ribonucleoprotein Complexes
Published on: January 9, 2018
14.4K
Measuring Phloem Transport Velocity on a Tissue Level Using a Phloem-Mobile Dye
Jessica A Savage1, Maciej A Zwieniecki2
1Biology Department, University of Minnesota, Duluth, MN, USA. jsavage@d.umn.edu.
Methods in Molecular Biology (Clifton, N.J.)
|June 15, 2019
Summary
A new in vivo method measures phloem transport velocity in plants using fluorescent dye and laser bleaching. This non-invasive technique allows for accurate phloem flow measurements in various plant tissues and conditions.
Area of Science:
- Plant Physiology
- Biophysics
- Plant Science
Background:
- Phloem transport is crucial for plant development and nutrient distribution.
- Accurate measurement of phloem transport velocity is essential for understanding plant physiology.
- Existing methods can be invasive or limited in application.
Purpose of the Study:
- To develop and validate a novel in vivo method for measuring phloem transport velocity.
- To provide a minimally invasive technique applicable to various plant tissues and conditions.
- To enable precise quantification of phloem flow dynamics.
Main Methods:
- Utilizes a phloem-mobile fluorescent dye and external photo-sensors.
- Employs laser-induced fluorescence bleaching to track dye movement.
- Measures the time for the bleach front to reach a light sensor to determine velocity.
Main Results:
- Successfully demonstrated in vivo measurement of phloem transport velocity.
- Validated the method's applicability in seedlings, leaves, and petioles.
- Showcased potential for field applications and diverse growth conditions.
Conclusions:
- The described dye-tracking method offers a sensitive and non-invasive approach to measure phloem transport velocity.
- Optimization for specific plant species and tissue types is recommended for best results.
- This technique holds significant potential for advancing plant transport research.
Related Concept Videos
02:02Phloem and Sugar Transport
39.8K
Like many living organisms, plants have tissues that specialize in specific plant functions. For example, shoots are well adapted to rapid growth, while roots are structured to acquire resources efficiently. However, sugar production is primarily restricted to the photosynthetic cells that reside in the leaves of angiosperm plants. Sugar and other resources are transported from photosynthetic tissues to other specialized tissues by a process called translocation.
39.8K
02:01Plant Cells and Tissues
65.3K
Plant tissues are collections of similar cells performing related functions. Different plant tissues will have their own specialized roles and can be combined with other tissues to form organs such as flowers, fruit, stem, and leaves. Two major types of plant tissue include meristematic and permanent tissue.
65.3K
00:54Ratio Level of Measurement
20.8K
The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
A set of data measured using the ratio scale takes care of the ratio problem and provides complete information. Ratio scale data are like interval scale data, except they have a zero point and ratios can be calculated....
A set of data measured using the ratio scale takes care of the ratio problem and provides complete information. Ratio scale data are like interval scale data, except they have a zero point and ratios can be calculated....
20.8K
00:55Ordinal Level of Measurement
32.1K
The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
Data measured using an ordinal scale are similar to nominal scale data, but there is one major difference. The ordinal scale data can be ordered. An example of ordinal scale data is a list of the top five national parks...
Data measured using an ordinal scale are similar to nominal scale data, but there is one major difference. The ordinal scale data can be ordered. An example of ordinal scale data is a list of the top five national parks...
32.1K
00:55Interval Level of Measurement
18.2K
For effective statistical analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
Data measured using the interval scale are similar to ordinal level data because they have a definite arrangement. However, in the interval level of measurement, the differences between data values are meaningful even though the data does not have a starting point.
Temperature is measured using the interval scale. It is measurable data, and the difference between...
Data measured using the interval scale are similar to ordinal level data because they have a definite arrangement. However, in the interval level of measurement, the differences between data values are meaningful even though the data does not have a starting point.
Temperature is measured using the interval scale. It is measurable data, and the difference between...
18.2K
00:56Nominal Level of Measurement
37.2K
The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. Not every statistical operation can be used with every set of data. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
The data that cannot be measured but can be grouped into categories fall under the nominal level of measurement. Data that is measured using a nominal...
The data that cannot be measured but can be grouped into categories fall under the nominal level of measurement. Data that is measured using a nominal...
37.2K