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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...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Biomedical Informatics Publishing Group
2009
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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. |
format | Text |
id | pubmed-2825596 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Biomedical Informatics Publishing Group |
record_format | MEDLINE/PubMed |
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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