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A Genome-Wide Prediction and Identification of Intergenic Small RNAs by Comparative Analysis in Mesorhizobium huakuii 7653R

In bacteria, small non-coding RNAs (sRNAs) are critical regulators of cellular adaptation to changes in metabolism, physiology, or the external environment. In the last decade, more than 2000 of sRNA families have been reported in the Rfam database and have been shown to exert various regulatory fun...

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Autores principales: Fuli, Xie, Wenlong, Zhao, Xiao, Wang, Jing, Zhang, Baohai, Hao, Zhengzheng, Zou, Bin-Guang, Ma, Youguo, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5596092/
https://www.ncbi.nlm.nih.gov/pubmed/28943874
http://dx.doi.org/10.3389/fmicb.2017.01730
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author Fuli, Xie
Wenlong, Zhao
Xiao, Wang
Jing, Zhang
Baohai, Hao
Zhengzheng, Zou
Bin-Guang, Ma
Youguo, Li
author_facet Fuli, Xie
Wenlong, Zhao
Xiao, Wang
Jing, Zhang
Baohai, Hao
Zhengzheng, Zou
Bin-Guang, Ma
Youguo, Li
author_sort Fuli, Xie
collection PubMed
description In bacteria, small non-coding RNAs (sRNAs) are critical regulators of cellular adaptation to changes in metabolism, physiology, or the external environment. In the last decade, more than 2000 of sRNA families have been reported in the Rfam database and have been shown to exert various regulatory functions in bacterial transcription and translation. However, little is known about sRNAs and their functions in Mesorhizobium. Here, we predicted putative sRNAs in the intergenic regions (IGRs) of M. huakuii 7653R by genome-wide comparisons with four related Mesorhizobial strains. The expression and transcribed regions of candidate sRNAs were analyzed using a set of high-throughput RNA deep sequencing data. In all, 39 candidate sRNAs were found, with 5 located in the symbiotic megaplasmids and 34 in the chromosome of M. huakuii 7653R. Of these, 24 were annotated as functional sRNAs in the Rfam database and 15 were recognized as putative novel sRNAs. The expression of nine selected sRNAs was confirmed by Northern blotting, and most of the nine selected sRNAs were highly expressed in 28 dpi nodules and under symbiosis-mimicking conditions. For those putative novel sRNAs, functional categorizations of their target genes were performed by analyzing the enriched GO terms. In addition, MH_s15 was shown to be an abundant and conserved sRNA.
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spelling pubmed-55960922017-09-22 A Genome-Wide Prediction and Identification of Intergenic Small RNAs by Comparative Analysis in Mesorhizobium huakuii 7653R Fuli, Xie Wenlong, Zhao Xiao, Wang Jing, Zhang Baohai, Hao Zhengzheng, Zou Bin-Guang, Ma Youguo, Li Front Microbiol Microbiology In bacteria, small non-coding RNAs (sRNAs) are critical regulators of cellular adaptation to changes in metabolism, physiology, or the external environment. In the last decade, more than 2000 of sRNA families have been reported in the Rfam database and have been shown to exert various regulatory functions in bacterial transcription and translation. However, little is known about sRNAs and their functions in Mesorhizobium. Here, we predicted putative sRNAs in the intergenic regions (IGRs) of M. huakuii 7653R by genome-wide comparisons with four related Mesorhizobial strains. The expression and transcribed regions of candidate sRNAs were analyzed using a set of high-throughput RNA deep sequencing data. In all, 39 candidate sRNAs were found, with 5 located in the symbiotic megaplasmids and 34 in the chromosome of M. huakuii 7653R. Of these, 24 were annotated as functional sRNAs in the Rfam database and 15 were recognized as putative novel sRNAs. The expression of nine selected sRNAs was confirmed by Northern blotting, and most of the nine selected sRNAs were highly expressed in 28 dpi nodules and under symbiosis-mimicking conditions. For those putative novel sRNAs, functional categorizations of their target genes were performed by analyzing the enriched GO terms. In addition, MH_s15 was shown to be an abundant and conserved sRNA. Frontiers Media S.A. 2017-09-08 /pmc/articles/PMC5596092/ /pubmed/28943874 http://dx.doi.org/10.3389/fmicb.2017.01730 Text en Copyright © 2017 Fuli, Wenlong, Xiao, Jing, Baohai, Zhengzheng, Bin-Guang and Youguo. http://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) or licensor 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 Microbiology
Fuli, Xie
Wenlong, Zhao
Xiao, Wang
Jing, Zhang
Baohai, Hao
Zhengzheng, Zou
Bin-Guang, Ma
Youguo, Li
A Genome-Wide Prediction and Identification of Intergenic Small RNAs by Comparative Analysis in Mesorhizobium huakuii 7653R
title A Genome-Wide Prediction and Identification of Intergenic Small RNAs by Comparative Analysis in Mesorhizobium huakuii 7653R
title_full A Genome-Wide Prediction and Identification of Intergenic Small RNAs by Comparative Analysis in Mesorhizobium huakuii 7653R
title_fullStr A Genome-Wide Prediction and Identification of Intergenic Small RNAs by Comparative Analysis in Mesorhizobium huakuii 7653R
title_full_unstemmed A Genome-Wide Prediction and Identification of Intergenic Small RNAs by Comparative Analysis in Mesorhizobium huakuii 7653R
title_short A Genome-Wide Prediction and Identification of Intergenic Small RNAs by Comparative Analysis in Mesorhizobium huakuii 7653R
title_sort genome-wide prediction and identification of intergenic small rnas by comparative analysis in mesorhizobium huakuii 7653r
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5596092/
https://www.ncbi.nlm.nih.gov/pubmed/28943874
http://dx.doi.org/10.3389/fmicb.2017.01730
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