Back

Shaping Kale Morphology and Physiology Using Different LED Light Recipes

Scandola, S.; Grubb, L. E.; Castillo, B.; Iliscupidez, L.; Kennedy, C.; Boyce, N.; Uhrig, R. G.

2024-10-14 plant biology
10.1101/2024.10.10.617428 bioRxiv
Show abstract

Light serves as a fundamental factor in plant development, both as an energy source and as an environmental cue. With the advent of light-emitting diode (LED) technology, light can be precisely manipulated to influence key plant traits. Here, we assess effects of light intensity and spectral composition on the growth and physiology of Kale (Brassica oleracea). Kale is known for its phenotypic plasticity and nutritional composition, making it a crop well-suited for indoor cultivation either as microgreens or as large leafy plants. Here, we employ a combination of advanced phenotyping, computer vision, gas chromatography-mass spectrometry (GC-MS) metabolomics, and liquid chromatography-mass spectrometry (LC-MS)-based quantitative proteomics to characterize the molecular changes that underpin light-dictated differences in the growth and metabolism of two different commercially grown kale cultivars under different light intensities and spectral compositions. We identify time-of-day and cultivar-specific light intensity and spectral composition-induced changes related to growth, shade avoidance, photosynthesis and several aspects of nutritional composition, including amino acids, glucosinolates and carotenoids. Our results offer a key resource to the plant community and demonstrate the translational potential of light manipulation in tailoring kale growth and nutritional content for enhanced crop productivity and/or health benefits, while simultaneously offering a more cost-effective solution for contemporary agricultural challenges. Significance StatementThe effects of light intensity and spectral composition differentially affect the diel molecular responses of Kale (Brassica oleracea). Our results demonstrate the translational potential of light manipulation in tailoring plant growth and nutritional content for enhanced crop productivity.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
Plant Direct
81 papers in training set
Top 0.1%
23.1%
2
New Phytologist
309 papers in training set
Top 0.3%
15.1%
3
Plant Physiology
217 papers in training set
Top 0.3%
10.7%
4
The Plant Journal
197 papers in training set
Top 0.6%
7.4%
50% of probability mass above
5
Journal of Experimental Botany
195 papers in training set
Top 1%
4.1%
6
The Plant Phenome Journal
14 papers in training set
Top 0.1%
4.1%
7
PLOS ONE
4510 papers in training set
Top 38%
3.7%
8
Frontiers in Plant Science
240 papers in training set
Top 3%
2.8%
9
eLife
5422 papers in training set
Top 33%
2.4%
10
The Plant Cell
141 papers in training set
Top 1%
1.7%
11
Plant Communications
35 papers in training set
Top 0.8%
1.7%
12
Science Advances
1098 papers in training set
Top 16%
1.7%
13
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 32%
1.7%
14
Plant, Cell & Environment
78 papers in training set
Top 0.6%
1.7%
15
Nature Communications
4913 papers in training set
Top 53%
1.5%
16
Plant Methods
39 papers in training set
Top 0.4%
1.5%
17
Scientific Reports
3102 papers in training set
Top 66%
1.3%
18
Plant Biotechnology Journal
56 papers in training set
Top 0.9%
1.1%
19
BMC Plant Biology
47 papers in training set
Top 0.7%
1.0%
20
Physiologia Plantarum
35 papers in training set
Top 0.4%
0.8%
21
Plant Phenomics
17 papers in training set
Top 0.4%
0.5%
22
Applications in Plant Sciences
21 papers in training set
Top 0.4%
0.5%
23
PROTEOMICS
35 papers in training set
Top 1%
0.5%