Functional physiological phenotyping and transcriptome analysis provide new insight into strawberry growth and water consumption Article Swipe
YOU?
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· 2022
· Open Access
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· DOI: https://doi.org/10.3389/fpls.2022.1074132
Global warming is expected to increase agricultural water scarcity; thus, optimized irrigation schedules are important and timely for sustainable crop production. Deficit irrigation, which balances crop growth and water consumption, has been proposed, but the critical threshold is not easily quantified. Here, we conducted experiments on strawberry plants subjecting progressive drought following various water recovery treatments on the high-throughput physiological phenotyping system “Plantarray”. The critical soil water contents (θ cri ), below which the plant transpiration significantly decreased, were calculated from the inflection point of the transpiration rate (Tr) - volumetric soil water content (VWC) curve fitted by a piecewise function. The physiological traits of water relations were compared between the well-watered plants (CK), plants subjecting the treatment of rewatering at the point of θ cri following progressive drought (WR_θ cri ), and the plants subjecting the treatment of rewatering at severe drought following progressive drought (WR_SD). The results showed that midday Tr, daily transpiration (E), and biomass gain of the plants under WR_θ cri treatment were equivalent to CK during the whole course of the experiment, but those under WR_SD treatment were significantly lower than CK during the water stress phase that could not recover even after rehydration. To explore the gene regulatory mechanisms, transcriptome analysis of the samples collected 12 h before, 12 h post and 36 h post water recovery in the three treatments was conducted. GO and KEGG enrichment analyses for the differentially expressed genes indicated that genes involved in mineral absorption and flavonoid biosynthesis were among the most striking transcriptionally reversible genes under the WR_θ cri treatment. Functional physiological phenotyping and transcriptome data provide new insight into a potential, quantitative, and balanceable water-saving strategy for strawberry irrigation and other agricultural crops.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fpls.2022.1074132
- https://www.frontiersin.org/articles/10.3389/fpls.2022.1074132/pdf
- OA Status
- gold
- Cited By
- 5
- References
- 43
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4309857297
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4309857297Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3389/fpls.2022.1074132Digital Object Identifier
- Title
-
Functional physiological phenotyping and transcriptome analysis provide new insight into strawberry growth and water consumptionWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-11-24Full publication date if available
- Authors
-
Lili Jiang, Ting Sun, Xiaofang Wang, Xiaojuan Zong, Chong WuList of authors in order
- Landing page
-
https://doi.org/10.3389/fpls.2022.1074132Publisher landing page
- PDF URL
-
https://www.frontiersin.org/articles/10.3389/fpls.2022.1074132/pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.frontiersin.org/articles/10.3389/fpls.2022.1074132/pdfDirect OA link when available
- Concepts
-
Transpiration, Transcriptome, Biomass (ecology), Crop, Biology, Irrigation, Drought tolerance, Plant physiology, Flavonoid biosynthesis, Photosynthesis, Horticulture, KEGG, Agronomy, Botany, Gene, Gene expression, GeneticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
5Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3, 2024: 2Per-year citation counts (last 5 years)
- References (count)
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43Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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