Physiological and genetic studies inspired insights into tomato responding to multiple abiotic stresses
Research output: Contribution to journal › Conference article › Research › peer-review
Abiotic stresses caused by global climate change have negative impacts on crop development, growth and thereby reduce food production. More importantly, plants are usually challenged by multiple stresses that happen simultaneously. However, the response of plants to multiple stresses cannot be simply deducted from the individual stress response. Tomato, as a world-wide grown vegetable, is sensitive to various abiotic stresses, such as heat, cold, drought when grown in unheated tunnels or field. This review focuses on physiological and molecular responses of the model plant -tomato to multiple stress conditions. Overall, the combined stresses trigger a new state, where the tomato plants exhibit both similar and unique responses as compared with individual stresses. The interactions between plant physiology and key gene expressions involved in ROS, phytohormones, photosynthesis and carbohydrate transport contributed to the performance of tomato plants under multiple stresses. A better understanding of tomatoes' responses under combined stresses will be helpful in the breeding of resilient tomato cultivars able to cope with the challenges brought by climate changes.
Original language | English |
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Journal | Acta Horticulturae |
Volume | 1372 |
Number of pages | 8 |
ISSN | 0567-7572 |
DOIs | |
Publication status | Published - 2023 |
Event | International Horticultural Congress 2022: International Symposium on Adaptation of Horticultural Plants to Abiotic Stresses - Angers, France Duration: 14 Aug 2022 → 20 Aug 2022 Conference number: 31 |
Conference
Conference | International Horticultural Congress 2022 |
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Number | 31 |
Country | France |
City | Angers |
Period | 14/08/2022 → 20/08/2022 |
Bibliographical note
Publisher Copyright:
© 2023 International Society for Horticultural Science. All rights reserved.
- abiotic stress, gene expression, high throughput sequencing, multiple stress, tomato
Research areas
ID: 372813090