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Calcium signaling in crops.

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Title: Calcium signaling in crops.
Authors: Zhang, Chunxia1,2 (AUTHOR), Song, Yang3 (AUTHOR), Kudla, Jörg4,5 (AUTHOR) jkudla@uni-muenster.de
Source: New Phytologist. Feb2026, Vol. 249 Issue 4, p1644-1658. 15p.
Subjects: Crop development, Crop improvement, Plant molecular biology, Abiotic stress, Genetic variation, Intracellular calcium
Abstract: Summary: Calcium (Ca2+) signaling is integral to nearly all aspects of plant biology, including development and responses to biotic and abiotic stresses. It operates through two main layers: the generation of Ca2+ signals and their decoding by Ca2+‐binding proteins, which act early in diverse signaling pathways. The system exhibits remarkable robustness and versatility, largely due to its network‐like organization. While fundamental principles of Ca2+ signaling were initially established in noncrop model organisms, recent research has increasingly expanded toward major crop species and has demonstrated that natural and synthetically created variation in Ca2+ signaling components can shape agronomically important traits. In this review, we first provide a concise overview of the fundamental principles of plant Ca2+ signaling and then synthesize the current status of this research field in major crop plants. We discuss why exploiting existing natural and engineering synthetic genetic diversity in Ca2+ signaling components offers promising strategies to enhance crop stress resilience and yield stability. Subsequently, we delineate how – aided by artificial intelligence – superior alleles can be identified and/or created and incorporated into elite crop genomes. Finally, we discuss current challenges and emerging perspectives in translating Ca2+ signaling research into practical applications for crop improvement. [ABSTRACT FROM AUTHOR]
Copyright of New Phytologist is the property of Wiley-Blackwell 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: Engineering Source
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DbLabel: Engineering Source
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  Data: Calcium signaling in crops.
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  Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Chunxia%22">Zhang, Chunxia</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Song%2C+Yang%22">Song, Yang</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kudla%2C+Jörg%22">Kudla, Jörg</searchLink><relatesTo>4,5</relatesTo> (AUTHOR)<i> jkudla@uni-muenster.de</i>
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  Data: <searchLink fieldCode="JN" term="%22New+Phytologist%22">New Phytologist</searchLink>. Feb2026, Vol. 249 Issue 4, p1644-1658. 15p.
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  Data: <searchLink fieldCode="DE" term="%22Crop+development%22">Crop development</searchLink><br /><searchLink fieldCode="DE" term="%22Crop+improvement%22">Crop improvement</searchLink><br /><searchLink fieldCode="DE" term="%22Plant+molecular+biology%22">Plant molecular biology</searchLink><br /><searchLink fieldCode="DE" term="%22Abiotic+stress%22">Abiotic stress</searchLink><br /><searchLink fieldCode="DE" term="%22Genetic+variation%22">Genetic variation</searchLink><br /><searchLink fieldCode="DE" term="%22Intracellular+calcium%22">Intracellular calcium</searchLink>
– Name: Abstract
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  Data: Summary: Calcium (Ca2+) signaling is integral to nearly all aspects of plant biology, including development and responses to biotic and abiotic stresses. It operates through two main layers: the generation of Ca2+ signals and their decoding by Ca2+‐binding proteins, which act early in diverse signaling pathways. The system exhibits remarkable robustness and versatility, largely due to its network‐like organization. While fundamental principles of Ca2+ signaling were initially established in noncrop model organisms, recent research has increasingly expanded toward major crop species and has demonstrated that natural and synthetically created variation in Ca2+ signaling components can shape agronomically important traits. In this review, we first provide a concise overview of the fundamental principles of plant Ca2+ signaling and then synthesize the current status of this research field in major crop plants. We discuss why exploiting existing natural and engineering synthetic genetic diversity in Ca2+ signaling components offers promising strategies to enhance crop stress resilience and yield stability. Subsequently, we delineate how – aided by artificial intelligence – superior alleles can be identified and/or created and incorporated into elite crop genomes. Finally, we discuss current challenges and emerging perspectives in translating Ca2+ signaling research into practical applications for crop improvement. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of New Phytologist is the property of Wiley-Blackwell 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.)
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      – Type: doi
        Value: 10.1111/nph.70796
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 1644
    Subjects:
      – SubjectFull: Crop development
        Type: general
      – SubjectFull: Crop improvement
        Type: general
      – SubjectFull: Plant molecular biology
        Type: general
      – SubjectFull: Abiotic stress
        Type: general
      – SubjectFull: Genetic variation
        Type: general
      – SubjectFull: Intracellular calcium
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      – TitleFull: Calcium signaling in crops.
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            NameFull: Zhang, Chunxia
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            NameFull: Song, Yang
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              M: 02
              Text: Feb2026
              Type: published
              Y: 2026
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