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Genome-wide analysis of long non-coding RNAs (lncRNAs) in tea plants (Camellia sinensis) lateral roots in response to nitrogen application

Tea (Camellia sinensis) is one of the significant cash crops in China. As a leaf crop, nitrogen supply can not only increase the number of new shoots and leaves but also improve the tenderness of the former. However, a conundrum remains in science, which is the molecular mechanism of nitrogen use ef...

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Autores principales: Hu, Shunkai, Hu, Yimeng, Mei, Huiling, Li, Jianjie, Xuan, Wei, Jeyaraj, Anburaj, Zhao, Zhen, Zhao, Yuxin, Han, Rui, Chen, Xuan, Li, Xinghui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9998519/
https://www.ncbi.nlm.nih.gov/pubmed/36909382
http://dx.doi.org/10.3389/fpls.2023.1080427
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author Hu, Shunkai
Hu, Yimeng
Mei, Huiling
Li, Jianjie
Xuan, Wei
Jeyaraj, Anburaj
Zhao, Zhen
Zhao, Yuxin
Han, Rui
Chen, Xuan
Li, Xinghui
author_facet Hu, Shunkai
Hu, Yimeng
Mei, Huiling
Li, Jianjie
Xuan, Wei
Jeyaraj, Anburaj
Zhao, Zhen
Zhao, Yuxin
Han, Rui
Chen, Xuan
Li, Xinghui
author_sort Hu, Shunkai
collection PubMed
description Tea (Camellia sinensis) is one of the significant cash crops in China. As a leaf crop, nitrogen supply can not only increase the number of new shoots and leaves but also improve the tenderness of the former. However, a conundrum remains in science, which is the molecular mechanism of nitrogen use efficiency, especially long non-coding RNA (lncRNA). In this study, a total of 16,452 lncRNAs were identified through high-throughput sequencing analysis of lateral roots under nitrogen stress and control conditions, of which 9,451 were differentially expressed lncRNAs (DE-lncRNAs). To figure out the potential function of nitrogen-responsive lncRNAs, co-expression clustering was employed between lncRNAs and coding genes. KEGG enrichment analysis revealed nitrogen-responsive lncRNAs may involve in many biological processes such as plant hormone signal transduction, nitrogen metabolism and protein processing in endoplasmic reticulum. The expression abundance of 12 DE-lncRNAs were further verified by RT-PCR, and their expression trends were consistent with the results of RNA-seq. This study expands the research on lncRNAs in tea plants, provides a novel perspective for the potential regulation of lncRNAs on nitrogen stress, and valuable resources for further improving the nitrogen use efficiency of tea plants.
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spelling pubmed-99985192023-03-11 Genome-wide analysis of long non-coding RNAs (lncRNAs) in tea plants (Camellia sinensis) lateral roots in response to nitrogen application Hu, Shunkai Hu, Yimeng Mei, Huiling Li, Jianjie Xuan, Wei Jeyaraj, Anburaj Zhao, Zhen Zhao, Yuxin Han, Rui Chen, Xuan Li, Xinghui Front Plant Sci Plant Science Tea (Camellia sinensis) is one of the significant cash crops in China. As a leaf crop, nitrogen supply can not only increase the number of new shoots and leaves but also improve the tenderness of the former. However, a conundrum remains in science, which is the molecular mechanism of nitrogen use efficiency, especially long non-coding RNA (lncRNA). In this study, a total of 16,452 lncRNAs were identified through high-throughput sequencing analysis of lateral roots under nitrogen stress and control conditions, of which 9,451 were differentially expressed lncRNAs (DE-lncRNAs). To figure out the potential function of nitrogen-responsive lncRNAs, co-expression clustering was employed between lncRNAs and coding genes. KEGG enrichment analysis revealed nitrogen-responsive lncRNAs may involve in many biological processes such as plant hormone signal transduction, nitrogen metabolism and protein processing in endoplasmic reticulum. The expression abundance of 12 DE-lncRNAs were further verified by RT-PCR, and their expression trends were consistent with the results of RNA-seq. This study expands the research on lncRNAs in tea plants, provides a novel perspective for the potential regulation of lncRNAs on nitrogen stress, and valuable resources for further improving the nitrogen use efficiency of tea plants. Frontiers Media S.A. 2023-02-24 /pmc/articles/PMC9998519/ /pubmed/36909382 http://dx.doi.org/10.3389/fpls.2023.1080427 Text en Copyright © 2023 Hu, Hu, Mei, Li, Xuan, Jeyaraj, Zhao, Zhao, Han, Chen and Li https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Hu, Shunkai
Hu, Yimeng
Mei, Huiling
Li, Jianjie
Xuan, Wei
Jeyaraj, Anburaj
Zhao, Zhen
Zhao, Yuxin
Han, Rui
Chen, Xuan
Li, Xinghui
Genome-wide analysis of long non-coding RNAs (lncRNAs) in tea plants (Camellia sinensis) lateral roots in response to nitrogen application
title Genome-wide analysis of long non-coding RNAs (lncRNAs) in tea plants (Camellia sinensis) lateral roots in response to nitrogen application
title_full Genome-wide analysis of long non-coding RNAs (lncRNAs) in tea plants (Camellia sinensis) lateral roots in response to nitrogen application
title_fullStr Genome-wide analysis of long non-coding RNAs (lncRNAs) in tea plants (Camellia sinensis) lateral roots in response to nitrogen application
title_full_unstemmed Genome-wide analysis of long non-coding RNAs (lncRNAs) in tea plants (Camellia sinensis) lateral roots in response to nitrogen application
title_short Genome-wide analysis of long non-coding RNAs (lncRNAs) in tea plants (Camellia sinensis) lateral roots in response to nitrogen application
title_sort genome-wide analysis of long non-coding rnas (lncrnas) in tea plants (camellia sinensis) lateral roots in response to nitrogen application
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9998519/
https://www.ncbi.nlm.nih.gov/pubmed/36909382
http://dx.doi.org/10.3389/fpls.2023.1080427
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