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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
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.
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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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