Back

Transcriptomic Insights into Drought Tolerance Enhancement in Bread Wheat Induced by a Microalgae-based Biostimulant

Arvanitidou, C.; Ramos-Gonzalez, M.; Garcia-Gomez, M. E.; Garcia-Gonzalez, M.; Romero-Campero, F. J.

2026-05-18 plant biology
10.64898/2026.05.18.725825 bioRxiv
Show abstract

Bread wheat (Triticum aestivum) is a staple food crucial for global caloric intake and food security. The current climate emergency demands the development of sustainable agricultural practices, particularly in the context of drought-induced yield reductions in bread wheat. Microalgae-based biostimulants have emerged as promising tools to enhance crop tolerance to drought stress while concurrently mitigating atmospheric CO2 accumulation. This study characterizes the transcriptomic responses to the foliar application of the microalgae-based biostimulant LRMTM in drought-stressed and fully irrigated wheat plants unveiling its mode of action. Drought stress at the tillering stage significantly altered gene expression activating key pathways related to phosphate starvation response (PSR), inositol phosphate signaling, and tocopherol biosynthesis. The application of the microalgae-based biostimulant LRMTM in drought-stressed plants further enhanced the expression of drought-responsive genes, particularly those involved in PSR and carbon fixation. Specific responses to LRMTM treatment in drought-stressed plants were also found related to abscisic acid (ABA) signaling activating genes involved in stomata closure, which plays a critical role in drought tolerance. In fully irrigated plants, LRMTM treatment was also beneficial modulating circadian rhythms, shade avoidance and attenuating stress responses. Phenotypic analysis showed that LRMTM-treated plants exhibited enhanced drought tolerance, increased height and spike length even under fully irrigated conditions. These results indicate that the microalgae-based biostimulant LRMTM not only enhances wheat response to drought but also promotes growth and productivity in both stressed and non-stressed conditions which could contribute to the development of sustainable agriculture in the face of the current climate challenges.

Matching journals

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

1
Frontiers in Plant Science
240 papers in training set
Top 0.2%
21.6%
2
Journal of Experimental Botany
195 papers in training set
Top 0.2%
16.8%
3
PLOS ONE
4510 papers in training set
Top 29%
6.1%
4
Environmental and Experimental Botany
11 papers in training set
Top 0.1%
6.1%
50% of probability mass above
5
Scientific Reports
3102 papers in training set
Top 25%
4.7%
6
Plant Science
25 papers in training set
Top 0.2%
3.4%
7
Plants
39 papers in training set
Top 0.6%
3.4%
8
Plant Physiology
217 papers in training set
Top 1%
3.1%
9
Plant, Cell & Environment
78 papers in training set
Top 0.3%
2.9%
10
Plant Direct
81 papers in training set
Top 1.0%
2.0%
11
The Plant Journal
197 papers in training set
Top 2%
2.0%
12
Plant Communications
35 papers in training set
Top 0.9%
1.6%
13
International Journal of Molecular Sciences
453 papers in training set
Top 9%
1.4%
14
Physiologia Plantarum
35 papers in training set
Top 0.2%
1.4%
15
New Phytologist
309 papers in training set
Top 4%
1.3%
16
Nature Communications
4913 papers in training set
Top 57%
1.2%
17
Plant Physiology and Biochemistry
17 papers in training set
Top 0.3%
1.2%
18
Journal of Agricultural and Food Chemistry
14 papers in training set
Top 0.9%
1.2%
19
PROTEOMICS
35 papers in training set
Top 0.6%
0.9%
20
Genomics
60 papers in training set
Top 2%
0.8%
21
Science of The Total Environment
179 papers in training set
Top 5%
0.8%
22
Horticulture Research
43 papers in training set
Top 2%
0.7%
23
Plant Reproduction
12 papers in training set
Top 0.2%
0.7%
24
BMC Genomics
328 papers in training set
Top 6%
0.7%
25
BMC Plant Biology
47 papers in training set
Top 1%
0.7%
26
Life
27 papers in training set
Top 0.5%
0.7%
27
Theoretical and Applied Genetics
46 papers in training set
Top 0.5%
0.7%
28
Plant Biotechnology Journal
56 papers in training set
Top 1%
0.7%