Influence of Drought Stress and Post-Drought Rewatering on Phytoremediation Effect of Arabidopsis thaliana

Tian, Kangkai; Wang, Yun; Chen, Dan; Cao, Min; Luo, Jie

doi:10.1007/s00128-021-03390-6

Cited by 8 publications

(3 citation statements)

References 30 publications

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“…Compensatory growth mechanisms of plants can occur with rewatering after drought [13]. Providing enough water during rehydration can reverse the drought-induced decline in growth rate, causing it to return to normal or even better [14]. After rehydration, P. wutunensis may undergo compensatory growth through Ribosome and Photosynthesis-antenna proteins (Fig.…”

Section: Discussionmentioning

confidence: 99%

“…Previous studies have shown that when water supply is restored after drought stress, plants can return to a growth state close to normal irrigation conditions through compensation mechanisms [13].Drought intensity differences can lead to different compensation effects. For example, rewatering after drought stress can cause compensatory growth in Arabidopsis thaliana, wherein the compensatory growth effect of moderate drought stress is lower than that of mild drought stress [14]. Different plants have different compensation mechanisms for rehydration.…”

Section: Introductionmentioning

confidence: 99%

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Genes and pathways associated with drought tolerance in Populus wutunensis under drought stress

Zou

Sun

Liu

et al. 2023

Preprint

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Background: Populus wutunensis is widely cultivated as part of the Three-North Shelter Forest Program in China. This hybrid grows rapidly and is tolerant to salinity and drought; however, the molecular mechanisms behind the drought resistance of P. wutunensis remain unclear. We performed deep transcriptome sequencing to analyze and compare the differentially expressed genes (DEGs) between drought stress and rehydrationconditions. Results: RNA-sequence analysis identified 5102 DEGs among the control, drought, and rehydration treatments. Further analysis of these DEGs showed that drought response genes are mainly involved in plant hormone signal transduction and galactose metabolism. Rehydration recovery mainly involves plant hormone signal transduction, flavonoid metabolism, photosynthesis-antenna proteins, and ribosome. Transcription factors play an important role in drought and rehydration by participating in signal transduction. In addition, compared with drought and control, photosynthesis-antenna proteins and ribosomewere clearly up-regulated after rewatering, which may have led to the compensatory growth of P. wutunensis during recovery. Conclusions: Our results show that P. wutunensis responds to drought and rehydration through different pathways, and identify candidate genes related to drought and rehydration in those pathways. Our results improve the understanding of the molecular mechanisms of drought tolerance in P. wutunensis and provide a foundation for further research.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Genes and pathways associated with drought tolerance in Populus wutunensis under drought stress

Zou

Sun

Liu

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Compensatory growth can be categorized as undercompensation (biomass recovery below the lost levels), compensation (recovery equal to loss), and overcompensation (recovery surpassing lost biomass) [7]. Efficient water use during the rewatering period is the key to the water-saving mechanism of compensatory growth [8,9]. Both sufficient and limited water supplies can Water 2023, 15, 3933 2 of 13 induce maize compensatory growth [10,11].…”

Section: Introductionmentioning

confidence: 99%

Enhanced Post-Drought Compensatory Growth and Water Utilization in Maize via Rhizosphere Soil Nitrification by Heterotrophic Ammonia-Oxidizing Bacteria

Wang,

Tian,

et al. 2023

Water

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Heterotrophic ammonia-oxidizing bacteria (HAOB), crucial for soil nitrification, have unclear benefits for crop water use. This study explored the impact of a novel HAOB strain, S2_8_1, on maize drought resilience via pot culturing. The experiment included various treatments: control with sufficient water (CK), sufficient water + HAOB strain (WI), limited rewatering (DL), sufficient rewatering (DH), sufficient rewatering + HAOB strain (DHI), and limited rewatering + HAOB strain (DLI). The results revealed below-compensatory growth with DL compared to CK. Interestingly, the HAOB strain displayed survival resilience with a 96% increase in its copy numbers in the rhizosphere soils compared to CK during rewatering. The DLI treatment exhibited equal to compensatory growth, showing a remarkable 169% surge in the water use efficiency versus CK. This improvement was attributed to heightened rhizosphere soil nitrification by HAOB, enhancing the cytokinin production in roots and its transference to leaves, leading to a 25% higher leaf cytokinin concentration with DLI compared to CK during rewatering. Additionally, HAOB DHI prompted overcompensatory growth after sufficient rewatering, boosting nitrification and facilitating cytokinin root-to-leaf transport. However, its water use efficiency was 39% lower than DLI. The study highlights HAOB’s importance in optimizing crop water use, particularly in scenarios of limited rewatering in cropland soils.

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Poplar seedling varieties and drought stress classification based on multi-source, time-series data and deep learning

Wang,

Zhang,

Bian

et al. 2024

Industrial Crops and Products

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Influence of Drought Stress and Post-Drought Rewatering on Phytoremediation Effect of Arabidopsis thaliana

Cited by 8 publications

References 30 publications

Genes and pathways associated with drought tolerance in Populus wutunensis under drought stress

Genes and pathways associated with drought tolerance in Populus wutunensis under drought stress

Enhanced Post-Drought Compensatory Growth and Water Utilization in Maize via Rhizosphere Soil Nitrification by Heterotrophic Ammonia-Oxidizing Bacteria

Poplar seedling varieties and drought stress classification based on multi-source, time-series data and deep learning

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