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Multi-Omics Analyses Reveal Systemic Insights into Maize Vivipary
Maize vivipary, precocious seed germination on the ear, affects yield and seed quality. The application of multi-omics approaches, such as transcriptomics or metabolomics, to classic vivipary mutants can potentially reveal the underlying mechanism. Seven maize vivipary mutants were selected for tran...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8618366/ https://www.ncbi.nlm.nih.gov/pubmed/34834800 http://dx.doi.org/10.3390/plants10112437 |
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author | Wang, Yiru Zhang, Junli Sun, Minghao He, Cheng Yu, Ke Zhao, Bing Li, Rui Li, Jian Yang, Zongying Wang, Xiao Duan, Haiyang Fu, Junjie Liu, Sanzhen Zhang, Xuebin Zheng, Jun |
author_facet | Wang, Yiru Zhang, Junli Sun, Minghao He, Cheng Yu, Ke Zhao, Bing Li, Rui Li, Jian Yang, Zongying Wang, Xiao Duan, Haiyang Fu, Junjie Liu, Sanzhen Zhang, Xuebin Zheng, Jun |
author_sort | Wang, Yiru |
collection | PubMed |
description | Maize vivipary, precocious seed germination on the ear, affects yield and seed quality. The application of multi-omics approaches, such as transcriptomics or metabolomics, to classic vivipary mutants can potentially reveal the underlying mechanism. Seven maize vivipary mutants were selected for transcriptomic and metabolomic analyses. A suite of transporters and transcription factors were found to be upregulated in all mutants, indicating that their functions are required during seed germination. Moreover, vivipary mutants exhibited a uniform expression pattern of genes related to abscisic acid (ABA) biosynthesis, gibberellin (GA) biosynthesis, and ABA core signaling. NCED4 (Zm00001d007876), which is involved in ABA biosynthesis, was markedly downregulated and GA3ox (Zm00001d039634) was upregulated in all vivipary mutants, indicating antagonism between these two phytohormones. The ABA core signaling components (PYL-ABI1-SnRK2-ABI3) were affected in most of the mutants, but the expression of these genes was not significantly different between the vp8 mutant and wild-type seeds. Metabolomics analysis integrated with co-expression network analysis identified unique metabolites, their corresponding pathways, and the gene networks affected by each individual mutation. Collectively, our multi-omics analyses characterized the transcriptional and metabolic landscape during vivipary, providing a valuable resource for improving seed quality. |
format | Online Article Text |
id | pubmed-8618366 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86183662021-11-27 Multi-Omics Analyses Reveal Systemic Insights into Maize Vivipary Wang, Yiru Zhang, Junli Sun, Minghao He, Cheng Yu, Ke Zhao, Bing Li, Rui Li, Jian Yang, Zongying Wang, Xiao Duan, Haiyang Fu, Junjie Liu, Sanzhen Zhang, Xuebin Zheng, Jun Plants (Basel) Article Maize vivipary, precocious seed germination on the ear, affects yield and seed quality. The application of multi-omics approaches, such as transcriptomics or metabolomics, to classic vivipary mutants can potentially reveal the underlying mechanism. Seven maize vivipary mutants were selected for transcriptomic and metabolomic analyses. A suite of transporters and transcription factors were found to be upregulated in all mutants, indicating that their functions are required during seed germination. Moreover, vivipary mutants exhibited a uniform expression pattern of genes related to abscisic acid (ABA) biosynthesis, gibberellin (GA) biosynthesis, and ABA core signaling. NCED4 (Zm00001d007876), which is involved in ABA biosynthesis, was markedly downregulated and GA3ox (Zm00001d039634) was upregulated in all vivipary mutants, indicating antagonism between these two phytohormones. The ABA core signaling components (PYL-ABI1-SnRK2-ABI3) were affected in most of the mutants, but the expression of these genes was not significantly different between the vp8 mutant and wild-type seeds. Metabolomics analysis integrated with co-expression network analysis identified unique metabolites, their corresponding pathways, and the gene networks affected by each individual mutation. Collectively, our multi-omics analyses characterized the transcriptional and metabolic landscape during vivipary, providing a valuable resource for improving seed quality. MDPI 2021-11-12 /pmc/articles/PMC8618366/ /pubmed/34834800 http://dx.doi.org/10.3390/plants10112437 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wang, Yiru Zhang, Junli Sun, Minghao He, Cheng Yu, Ke Zhao, Bing Li, Rui Li, Jian Yang, Zongying Wang, Xiao Duan, Haiyang Fu, Junjie Liu, Sanzhen Zhang, Xuebin Zheng, Jun Multi-Omics Analyses Reveal Systemic Insights into Maize Vivipary |
title | Multi-Omics Analyses Reveal Systemic Insights into Maize Vivipary |
title_full | Multi-Omics Analyses Reveal Systemic Insights into Maize Vivipary |
title_fullStr | Multi-Omics Analyses Reveal Systemic Insights into Maize Vivipary |
title_full_unstemmed | Multi-Omics Analyses Reveal Systemic Insights into Maize Vivipary |
title_short | Multi-Omics Analyses Reveal Systemic Insights into Maize Vivipary |
title_sort | multi-omics analyses reveal systemic insights into maize vivipary |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8618366/ https://www.ncbi.nlm.nih.gov/pubmed/34834800 http://dx.doi.org/10.3390/plants10112437 |
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