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High GC content: Critical parameter for predicting stress regulated miRNAs in Arabidopsis thaliana

Plants like Arabidopsis thaliana are convenient model systems to study fundamental questions related to regulation of the stress transcriptome in response to stress challenges. Microarray results of the Arabidopsis transcriptome indicate that several genes could be upregulated during multiple stress...

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Detalles Bibliográficos
Autores principales: Mishra, Akaash Kumar, Agarwal, Seep, Jain, Chakresh Kumar, Rani, Vibha
Formato: Texto
Lenguaje:English
Publicado: Biomedical Informatics Publishing Group 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2825596/
https://www.ncbi.nlm.nih.gov/pubmed/20198191
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author Mishra, Akaash Kumar
Agarwal, Seep
Jain, Chakresh Kumar
Rani, Vibha
author_facet Mishra, Akaash Kumar
Agarwal, Seep
Jain, Chakresh Kumar
Rani, Vibha
author_sort Mishra, Akaash Kumar
collection PubMed
description Plants like Arabidopsis thaliana are convenient model systems to study fundamental questions related to regulation of the stress transcriptome in response to stress challenges. Microarray results of the Arabidopsis transcriptome indicate that several genes could be upregulated during multiple stresses. High-salinity, drought, and low temperature are three common environmental stress factors that seriously influence plant growth and development worldwide. Recently, microRNAs (miRNAs) have emerged as a class of gene expression regulators that have also been linked to stress responses. However, the relationship between miRNA expression and stress responses is just beginning to be explored. Here we have computationally analyzed 123 non redundant miRNA sequences reported for Arabidopsis thaliana, including 17 miRNA sequences which were reported to be stress regulated in literature. A significant increase in the GC content of stress regulated miRNA sequences was observed which further extends the view that miRNAs act as ubiquitous regulators under stress conditions. GC content may also be considered as a critical parameter for predicting stress regulated miRNAs in plants like Arabidopsis thaliana.
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spelling pubmed-28255962010-03-02 High GC content: Critical parameter for predicting stress regulated miRNAs in Arabidopsis thaliana Mishra, Akaash Kumar Agarwal, Seep Jain, Chakresh Kumar Rani, Vibha Bioinformation Hypothesis Plants like Arabidopsis thaliana are convenient model systems to study fundamental questions related to regulation of the stress transcriptome in response to stress challenges. Microarray results of the Arabidopsis transcriptome indicate that several genes could be upregulated during multiple stresses. High-salinity, drought, and low temperature are three common environmental stress factors that seriously influence plant growth and development worldwide. Recently, microRNAs (miRNAs) have emerged as a class of gene expression regulators that have also been linked to stress responses. However, the relationship between miRNA expression and stress responses is just beginning to be explored. Here we have computationally analyzed 123 non redundant miRNA sequences reported for Arabidopsis thaliana, including 17 miRNA sequences which were reported to be stress regulated in literature. A significant increase in the GC content of stress regulated miRNA sequences was observed which further extends the view that miRNAs act as ubiquitous regulators under stress conditions. GC content may also be considered as a critical parameter for predicting stress regulated miRNAs in plants like Arabidopsis thaliana. Biomedical Informatics Publishing Group 2009-10-11 /pmc/articles/PMC2825596/ /pubmed/20198191 Text en © 2009 Biomedical Informatics Publishing Group This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited.
spellingShingle Hypothesis
Mishra, Akaash Kumar
Agarwal, Seep
Jain, Chakresh Kumar
Rani, Vibha
High GC content: Critical parameter for predicting stress regulated miRNAs in Arabidopsis thaliana
title High GC content: Critical parameter for predicting stress regulated miRNAs in Arabidopsis thaliana
title_full High GC content: Critical parameter for predicting stress regulated miRNAs in Arabidopsis thaliana
title_fullStr High GC content: Critical parameter for predicting stress regulated miRNAs in Arabidopsis thaliana
title_full_unstemmed High GC content: Critical parameter for predicting stress regulated miRNAs in Arabidopsis thaliana
title_short High GC content: Critical parameter for predicting stress regulated miRNAs in Arabidopsis thaliana
title_sort high gc content: critical parameter for predicting stress regulated mirnas in arabidopsis thaliana
topic Hypothesis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2825596/
https://www.ncbi.nlm.nih.gov/pubmed/20198191
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