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Fillable and unfillable gaps in plant transcriptome under field and controlled environments

The differences between plants grown in field and in controlled environments have long been recognized. However, few studies have addressed the underlying molecular mechanisms. To evaluate plant responses to fluctuating environments using laboratory equipment, we developed SmartGC, a high‐performanc...

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Autores principales: Hashida, Yoichi, Tezuka, Ayumi, Nomura, Yasuyuki, Kamitani, Mari, Kashima, Makoto, Kurita, Yuko, Nagano, Atsushi J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9544781/
https://www.ncbi.nlm.nih.gov/pubmed/35610174
http://dx.doi.org/10.1111/pce.14367
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author Hashida, Yoichi
Tezuka, Ayumi
Nomura, Yasuyuki
Kamitani, Mari
Kashima, Makoto
Kurita, Yuko
Nagano, Atsushi J.
author_facet Hashida, Yoichi
Tezuka, Ayumi
Nomura, Yasuyuki
Kamitani, Mari
Kashima, Makoto
Kurita, Yuko
Nagano, Atsushi J.
author_sort Hashida, Yoichi
collection PubMed
description The differences between plants grown in field and in controlled environments have long been recognized. However, few studies have addressed the underlying molecular mechanisms. To evaluate plant responses to fluctuating environments using laboratory equipment, we developed SmartGC, a high‐performance growth chamber that reproduces the fluctuating irradiance, temperature and humidity of field environments. We analysed massive transcriptome data of rice plants grown under field and SmartGC conditions to clarify the differences in plant responses to field and controlled environments. Rice transcriptome dynamics in SmartGC mimicked those in the field, particularly during the morning and evening but those in conventional growth chamber conditions did not. Further analysis revealed that fluctuation of irradiance affects transcriptome dynamics in the morning and evening, while fluctuation of temperature affects transcriptome dynamics only in the morning. We found upregulation of genes related to biotic and abiotic stress, and their expression was affected by environmental factors that cannot be mimicked by SmartGC. Our results reveal fillable and unfillable gaps in the transcriptomes of rice grown in field and controlled environments and can accelerate the understanding of plant responses to field environments for both basic biology and agricultural applications.
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spelling pubmed-95447812022-10-14 Fillable and unfillable gaps in plant transcriptome under field and controlled environments Hashida, Yoichi Tezuka, Ayumi Nomura, Yasuyuki Kamitani, Mari Kashima, Makoto Kurita, Yuko Nagano, Atsushi J. Plant Cell Environ Original Articles The differences between plants grown in field and in controlled environments have long been recognized. However, few studies have addressed the underlying molecular mechanisms. To evaluate plant responses to fluctuating environments using laboratory equipment, we developed SmartGC, a high‐performance growth chamber that reproduces the fluctuating irradiance, temperature and humidity of field environments. We analysed massive transcriptome data of rice plants grown under field and SmartGC conditions to clarify the differences in plant responses to field and controlled environments. Rice transcriptome dynamics in SmartGC mimicked those in the field, particularly during the morning and evening but those in conventional growth chamber conditions did not. Further analysis revealed that fluctuation of irradiance affects transcriptome dynamics in the morning and evening, while fluctuation of temperature affects transcriptome dynamics only in the morning. We found upregulation of genes related to biotic and abiotic stress, and their expression was affected by environmental factors that cannot be mimicked by SmartGC. Our results reveal fillable and unfillable gaps in the transcriptomes of rice grown in field and controlled environments and can accelerate the understanding of plant responses to field environments for both basic biology and agricultural applications. John Wiley and Sons Inc. 2022-06-21 2022-08 /pmc/articles/PMC9544781/ /pubmed/35610174 http://dx.doi.org/10.1111/pce.14367 Text en © 2022 The Authors. Plant, Cell & Environment published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Hashida, Yoichi
Tezuka, Ayumi
Nomura, Yasuyuki
Kamitani, Mari
Kashima, Makoto
Kurita, Yuko
Nagano, Atsushi J.
Fillable and unfillable gaps in plant transcriptome under field and controlled environments
title Fillable and unfillable gaps in plant transcriptome under field and controlled environments
title_full Fillable and unfillable gaps in plant transcriptome under field and controlled environments
title_fullStr Fillable and unfillable gaps in plant transcriptome under field and controlled environments
title_full_unstemmed Fillable and unfillable gaps in plant transcriptome under field and controlled environments
title_short Fillable and unfillable gaps in plant transcriptome under field and controlled environments
title_sort fillable and unfillable gaps in plant transcriptome under field and controlled environments
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9544781/
https://www.ncbi.nlm.nih.gov/pubmed/35610174
http://dx.doi.org/10.1111/pce.14367
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