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Transcriptome and metabolite analysis identifies nitrogen utilization genes in tea plant (Camellia sinensis)
Applied nitrogen (N) fertilizer significantly increases the leaf yield. However, most N is not utilized by the plant, negatively impacting the environment. To date, little is known regarding N utilization genes and mechanisms in the leaf production. To understand this, we investigated transcriptomes...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5431998/ https://www.ncbi.nlm.nih.gov/pubmed/28490757 http://dx.doi.org/10.1038/s41598-017-01949-0 |
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author | Li, Wei Xiang, Fen Zhong, Micai Zhou, Lingyun Liu, Hongyan Li, Saijun Wang, Xuewen |
author_facet | Li, Wei Xiang, Fen Zhong, Micai Zhou, Lingyun Liu, Hongyan Li, Saijun Wang, Xuewen |
author_sort | Li, Wei |
collection | PubMed |
description | Applied nitrogen (N) fertilizer significantly increases the leaf yield. However, most N is not utilized by the plant, negatively impacting the environment. To date, little is known regarding N utilization genes and mechanisms in the leaf production. To understand this, we investigated transcriptomes using RNA-seq and amino acid levels with N treatment in tea (Camellia sinensis), the most popular beverage crop. We identified 196 and 29 common differentially expressed genes in roots and leaves, respectively, in response to ammonium in two tea varieties. Among those genes, AMT, NRT and AQP for N uptake and GOGAT and GS for N assimilation were the key genes, validated by RT-qPCR, which expressed in a network manner with tissue specificity. Importantly, only AQP and three novel DEGs associated with stress, manganese binding, and gibberellin-regulated transcription factor were common in N responses across all tissues and varieties. A hypothesized gene regulatory network for N was proposed. A strong statistical correlation between key genes’ expression and amino acid content was revealed. The key genes and regulatory network improve our understanding of the molecular mechanism of N usage and offer gene targets for plant improvement. |
format | Online Article Text |
id | pubmed-5431998 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-54319982017-05-16 Transcriptome and metabolite analysis identifies nitrogen utilization genes in tea plant (Camellia sinensis) Li, Wei Xiang, Fen Zhong, Micai Zhou, Lingyun Liu, Hongyan Li, Saijun Wang, Xuewen Sci Rep Article Applied nitrogen (N) fertilizer significantly increases the leaf yield. However, most N is not utilized by the plant, negatively impacting the environment. To date, little is known regarding N utilization genes and mechanisms in the leaf production. To understand this, we investigated transcriptomes using RNA-seq and amino acid levels with N treatment in tea (Camellia sinensis), the most popular beverage crop. We identified 196 and 29 common differentially expressed genes in roots and leaves, respectively, in response to ammonium in two tea varieties. Among those genes, AMT, NRT and AQP for N uptake and GOGAT and GS for N assimilation were the key genes, validated by RT-qPCR, which expressed in a network manner with tissue specificity. Importantly, only AQP and three novel DEGs associated with stress, manganese binding, and gibberellin-regulated transcription factor were common in N responses across all tissues and varieties. A hypothesized gene regulatory network for N was proposed. A strong statistical correlation between key genes’ expression and amino acid content was revealed. The key genes and regulatory network improve our understanding of the molecular mechanism of N usage and offer gene targets for plant improvement. Nature Publishing Group UK 2017-05-10 /pmc/articles/PMC5431998/ /pubmed/28490757 http://dx.doi.org/10.1038/s41598-017-01949-0 Text en © The Author(s) 2017 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Li, Wei Xiang, Fen Zhong, Micai Zhou, Lingyun Liu, Hongyan Li, Saijun Wang, Xuewen Transcriptome and metabolite analysis identifies nitrogen utilization genes in tea plant (Camellia sinensis) |
title | Transcriptome and metabolite analysis identifies nitrogen utilization genes in tea plant (Camellia sinensis) |
title_full | Transcriptome and metabolite analysis identifies nitrogen utilization genes in tea plant (Camellia sinensis) |
title_fullStr | Transcriptome and metabolite analysis identifies nitrogen utilization genes in tea plant (Camellia sinensis) |
title_full_unstemmed | Transcriptome and metabolite analysis identifies nitrogen utilization genes in tea plant (Camellia sinensis) |
title_short | Transcriptome and metabolite analysis identifies nitrogen utilization genes in tea plant (Camellia sinensis) |
title_sort | transcriptome and metabolite analysis identifies nitrogen utilization genes in tea plant (camellia sinensis) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5431998/ https://www.ncbi.nlm.nih.gov/pubmed/28490757 http://dx.doi.org/10.1038/s41598-017-01949-0 |
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