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Cytological, transcriptome and miRNome temporal landscapes decode enhancement of rice grain size
BACKGROUND: Rice grain size (GS) is an essential agronomic trait. Though several genes and miRNA modules influencing GS are known and seed development transcriptomes analyzed, a comprehensive compendium connecting all possible players is lacking. This study utilizes two contrasting GS indica rice ge...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10116700/ https://www.ncbi.nlm.nih.gov/pubmed/37076907 http://dx.doi.org/10.1186/s12915-023-01577-3 |
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author | Mahto, Arunima Yadav, Antima P. V., Aswathi Parida, Swarup K. Tyagi, Akhilesh K. Agarwal, Pinky |
author_facet | Mahto, Arunima Yadav, Antima P. V., Aswathi Parida, Swarup K. Tyagi, Akhilesh K. Agarwal, Pinky |
author_sort | Mahto, Arunima |
collection | PubMed |
description | BACKGROUND: Rice grain size (GS) is an essential agronomic trait. Though several genes and miRNA modules influencing GS are known and seed development transcriptomes analyzed, a comprehensive compendium connecting all possible players is lacking. This study utilizes two contrasting GS indica rice genotypes (small-grained SN and large-grained LGR). Rice seed development involves five stages (S1–S5). Comparative transcriptome and miRNome atlases, substantiated with morphological and cytological studies, from S1–S5 stages and flag leaf have been analyzed to identify GS proponents. RESULTS: Histology shows prolonged endosperm development and cell enlargement in LGR. Stand-alone and comparative RNAseq analyses manifest S3 (5–10 days after pollination) stage as crucial for GS enhancement, coherently with cell cycle, endoreduplication, and programmed cell death participating genes. Seed storage protein and carbohydrate accumulation, cytologically and by RNAseq, is shown to be delayed in LGR. Fourteen transcription factor families influence GS. Pathway genes for four phytohormones display opposite patterns of higher expression. A total of 186 genes generated from the transcriptome analyses are located within GS trait-related QTLs deciphered by a cross between SN and LGR. Fourteen miRNA families express specifically in SN or LGR seeds. Eight miRNA-target modules display contrasting expressions amongst SN and LGR, while 26 (SN) and 43 (LGR) modules are differentially expressed in all stages. CONCLUSIONS: Integration of all analyses concludes in a “Domino effect” model for GS regulation highlighting chronology and fruition of each event. This study delineates the essence of GS regulation, providing scope for future exploits. The rice grain development database (RGDD) ( www.nipgr.ac.in/RGDD/index.php; https://doi.org/10.5281/zenodo.7762870) has been developed for easy access of data generated in this paper. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12915-023-01577-3. |
format | Online Article Text |
id | pubmed-10116700 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-101167002023-04-21 Cytological, transcriptome and miRNome temporal landscapes decode enhancement of rice grain size Mahto, Arunima Yadav, Antima P. V., Aswathi Parida, Swarup K. Tyagi, Akhilesh K. Agarwal, Pinky BMC Biol Research Article BACKGROUND: Rice grain size (GS) is an essential agronomic trait. Though several genes and miRNA modules influencing GS are known and seed development transcriptomes analyzed, a comprehensive compendium connecting all possible players is lacking. This study utilizes two contrasting GS indica rice genotypes (small-grained SN and large-grained LGR). Rice seed development involves five stages (S1–S5). Comparative transcriptome and miRNome atlases, substantiated with morphological and cytological studies, from S1–S5 stages and flag leaf have been analyzed to identify GS proponents. RESULTS: Histology shows prolonged endosperm development and cell enlargement in LGR. Stand-alone and comparative RNAseq analyses manifest S3 (5–10 days after pollination) stage as crucial for GS enhancement, coherently with cell cycle, endoreduplication, and programmed cell death participating genes. Seed storage protein and carbohydrate accumulation, cytologically and by RNAseq, is shown to be delayed in LGR. Fourteen transcription factor families influence GS. Pathway genes for four phytohormones display opposite patterns of higher expression. A total of 186 genes generated from the transcriptome analyses are located within GS trait-related QTLs deciphered by a cross between SN and LGR. Fourteen miRNA families express specifically in SN or LGR seeds. Eight miRNA-target modules display contrasting expressions amongst SN and LGR, while 26 (SN) and 43 (LGR) modules are differentially expressed in all stages. CONCLUSIONS: Integration of all analyses concludes in a “Domino effect” model for GS regulation highlighting chronology and fruition of each event. This study delineates the essence of GS regulation, providing scope for future exploits. The rice grain development database (RGDD) ( www.nipgr.ac.in/RGDD/index.php; https://doi.org/10.5281/zenodo.7762870) has been developed for easy access of data generated in this paper. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12915-023-01577-3. BioMed Central 2023-04-19 /pmc/articles/PMC10116700/ /pubmed/37076907 http://dx.doi.org/10.1186/s12915-023-01577-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Mahto, Arunima Yadav, Antima P. V., Aswathi Parida, Swarup K. Tyagi, Akhilesh K. Agarwal, Pinky Cytological, transcriptome and miRNome temporal landscapes decode enhancement of rice grain size |
title | Cytological, transcriptome and miRNome temporal landscapes decode enhancement of rice grain size |
title_full | Cytological, transcriptome and miRNome temporal landscapes decode enhancement of rice grain size |
title_fullStr | Cytological, transcriptome and miRNome temporal landscapes decode enhancement of rice grain size |
title_full_unstemmed | Cytological, transcriptome and miRNome temporal landscapes decode enhancement of rice grain size |
title_short | Cytological, transcriptome and miRNome temporal landscapes decode enhancement of rice grain size |
title_sort | cytological, transcriptome and mirnome temporal landscapes decode enhancement of rice grain size |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10116700/ https://www.ncbi.nlm.nih.gov/pubmed/37076907 http://dx.doi.org/10.1186/s12915-023-01577-3 |
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