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Dispersed components drive temperature sensing and response in plants.

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Title: Dispersed components drive temperature sensing and response in plants.
Authors: Yadav, Avilash Singh, Sureshkumar, Sridevi, Sinha, Alok Krishna, Balasubramanian, Sureshkumar
Source: Science. 6/12/2025, Vol. 388 Issue 6752, p1161-1166. 6p.
Subjects: Effect of temperature on plants, Climate change, Food security, Agricultural productivity, Plant populations
Abstract: Plants are highly sensitive to temperature, and climate change is predicted to have negative impacts on agricultural productivity. Warming temperatures, coupled with a growing population, present a substantial challenge for food security and motivate research to understand how plants sense and respond to changes in temperature. Here, we synthesize our current understanding of temperature sensing and response in plants. We outline how temperature cues are integrated into preexisting signaling cascades using inherently temperature-sensitive proteins or processes. This dispersed nature of thermo-sensitive proteins and processes makes distinct signaling cascades sensitive to temperature. This model integrates current knowledge and distinguishes thermosensing from other conventional sensing and signaling mechanisms in plants. [ABSTRACT FROM AUTHOR]
Copyright of Science is the property of American Association for the Advancement of Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Dispersed components drive temperature sensing and response in plants.
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  Data: <searchLink fieldCode="AR" term="%22Yadav%2C+Avilash+Singh%22">Yadav, Avilash Singh</searchLink><br /><searchLink fieldCode="AR" term="%22Sureshkumar%2C+Sridevi%22">Sureshkumar, Sridevi</searchLink><br /><searchLink fieldCode="AR" term="%22Sinha%2C+Alok+Krishna%22">Sinha, Alok Krishna</searchLink><br /><searchLink fieldCode="AR" term="%22Balasubramanian%2C+Sureshkumar%22">Balasubramanian, Sureshkumar</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Science%22">Science</searchLink>. 6/12/2025, Vol. 388 Issue 6752, p1161-1166. 6p.
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  Data: <searchLink fieldCode="DE" term="%22Effect+of+temperature+on+plants%22">Effect of temperature on plants</searchLink><br /><searchLink fieldCode="DE" term="%22Climate+change%22">Climate change</searchLink><br /><searchLink fieldCode="DE" term="%22Food+security%22">Food security</searchLink><br /><searchLink fieldCode="DE" term="%22Agricultural+productivity%22">Agricultural productivity</searchLink><br /><searchLink fieldCode="DE" term="%22Plant+populations%22">Plant populations</searchLink>
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  Label: Abstract
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  Data: Plants are highly sensitive to temperature, and climate change is predicted to have negative impacts on agricultural productivity. Warming temperatures, coupled with a growing population, present a substantial challenge for food security and motivate research to understand how plants sense and respond to changes in temperature. Here, we synthesize our current understanding of temperature sensing and response in plants. We outline how temperature cues are integrated into preexisting signaling cascades using inherently temperature-sensitive proteins or processes. This dispersed nature of thermo-sensitive proteins and processes makes distinct signaling cascades sensitive to temperature. This model integrates current knowledge and distinguishes thermosensing from other conventional sensing and signaling mechanisms in plants. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Science is the property of American Association for the Advancement of Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=188104085
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        Value: 10.1126/science.adv5407
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        Text: English
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      – SubjectFull: Climate change
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      – SubjectFull: Food security
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      – SubjectFull: Agricultural productivity
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      – SubjectFull: Plant populations
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              Text: 6/12/2025
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