Dominant and Priming Role of Waterlogging in Tomato at e[CO2] by Multivariate Analysis

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  • Rong Zhou
  • Fangling Jiang
  • Xiaqing Yu
  • Lamis Abdelhakim
  • Xiangnan Li
  • Rosenqvist, Eva
  • Carl-Otto Ottosen
  • Zhen Wu

The frequency of waterlogging episodes has increased due to unpredictable and intense rainfalls. However, less is known about waterlogging memory and its interaction with other climate change events, such as elevated CO2 concentration (e[CO2]). This study investigated the combined effects of e[CO2] and two rounds of waterlogging stress on the growth of cultivated tomato (Solanum lycopersicum) and wild tomato (S. pimpinellifolium). The aim is to elucidate the interaction between genotypes and environmental factors and thereby to improve crop resilience to climate change. We found that two rounds of treatments appeared to induce different acclimation strategies of the two tomato genotypes. S. pimpinellifolium responded more negatively to the first-time waterlogging than S. lycopersicum, as indicated by decreased photosynthesis and biomass loss. Nevertheless, the two genotypes respond similarly when waterlogging stress recurred, showing that they could maintain a higher leaf photosynthesis compared to single stress, especially for the wild genotype. This showed that waterlogging priming played a positive role in stress memory in both tomato genotypes. Multivariate analysis showed that waterlogging played a dominant role when combined with [CO2] for both the cultivated and wild tomato genotypes. This work will benefit agricultural production strategies by pinpointing the positive effects of e[CO2] and waterlogging memory.

OriginalsprogEngelsk
Artikelnummer12121
TidsskriftInternational Journal of Molecular Sciences
Vol/bind23
Udgave nummer20
Antal sider18
ISSN1661-6596
DOI
StatusUdgivet - 2022

Bibliografisk note

Funding Information:
This research was funded by Jiangsu Seed Industry Revitalization Project, [JBGS(2021)015]; National Natural Science Foundation of China, 32072581; Jiangsu Agricultural Science and Technology Innovation Fund, CX(20)3101 and Aarhus University Research Foundation, 30379.

Publisher Copyright:
© 2022 by the authors.

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