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Identification of drought responsive proteins using gene ontology hierarchy
The availability of the complete genome sequences has facilitated access to essential information to identify proteins. The determination of Arabidopsis genome sequence has had a great impact to annotate data. The genome sequencing of Sorghum bicolor has been only recently completed and hither to th...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Biomedical Informatics
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3400982/ https://www.ncbi.nlm.nih.gov/pubmed/22829738 http://dx.doi.org/10.6026/97320630008595 |
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author | Sharma, Vinay Sekhwal, Manoj Kumar Swami, Ajit Kumar Sarin, Renu |
author_facet | Sharma, Vinay Sekhwal, Manoj Kumar Swami, Ajit Kumar Sarin, Renu |
author_sort | Sharma, Vinay |
collection | PubMed |
description | The availability of the complete genome sequences has facilitated access to essential information to identify proteins. The determination of Arabidopsis genome sequence has had a great impact to annotate data. The genome sequencing of Sorghum bicolor has been only recently completed and hither to the global response to abiotic stresses in this important crop remains largely unexplored. We used 2-D gel electrophoresis based proteomic approach refined with MALDI-TOF to analyze drought-stress response proteins in sorghum. Major changes in protein complement of sorghum were observed in hydroponic cultures at 96 hours under drought stress. Six most highly expressed proteins were excised for functional identification. Here, we developed a method to obtain functional distances between GO terms and analyzed distance values to allocate shortest path (SP) in GO hierarchy. The shortest paths for expressed proteins were noted for most informative common ancestor (MICA) terms, viz. binding, catalytic activity and primary metabolic process. We observed the expressed proteins belonged to the functional group of signal transduction mechanisms, carbohydrate transport and metabolism. These identified functions of proteins suggest a different mechanism of drought-stress tolerant in sorghum. The novel approach applied in this study may have great importance in further identifying proteins involved in abiotic and biotic stress conditions in crops. |
format | Online Article Text |
id | pubmed-3400982 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Biomedical Informatics |
record_format | MEDLINE/PubMed |
spelling | pubmed-34009822012-07-24 Identification of drought responsive proteins using gene ontology hierarchy Sharma, Vinay Sekhwal, Manoj Kumar Swami, Ajit Kumar Sarin, Renu Bioinformation Hypothesis The availability of the complete genome sequences has facilitated access to essential information to identify proteins. The determination of Arabidopsis genome sequence has had a great impact to annotate data. The genome sequencing of Sorghum bicolor has been only recently completed and hither to the global response to abiotic stresses in this important crop remains largely unexplored. We used 2-D gel electrophoresis based proteomic approach refined with MALDI-TOF to analyze drought-stress response proteins in sorghum. Major changes in protein complement of sorghum were observed in hydroponic cultures at 96 hours under drought stress. Six most highly expressed proteins were excised for functional identification. Here, we developed a method to obtain functional distances between GO terms and analyzed distance values to allocate shortest path (SP) in GO hierarchy. The shortest paths for expressed proteins were noted for most informative common ancestor (MICA) terms, viz. binding, catalytic activity and primary metabolic process. We observed the expressed proteins belonged to the functional group of signal transduction mechanisms, carbohydrate transport and metabolism. These identified functions of proteins suggest a different mechanism of drought-stress tolerant in sorghum. The novel approach applied in this study may have great importance in further identifying proteins involved in abiotic and biotic stress conditions in crops. Biomedical Informatics 2012-07-06 /pmc/articles/PMC3400982/ /pubmed/22829738 http://dx.doi.org/10.6026/97320630008595 Text en © 2012 Biomedical Informatics 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 Sharma, Vinay Sekhwal, Manoj Kumar Swami, Ajit Kumar Sarin, Renu Identification of drought responsive proteins using gene ontology hierarchy |
title | Identification of drought responsive proteins using gene ontology hierarchy |
title_full | Identification of drought responsive proteins using gene ontology hierarchy |
title_fullStr | Identification of drought responsive proteins using gene ontology hierarchy |
title_full_unstemmed | Identification of drought responsive proteins using gene ontology hierarchy |
title_short | Identification of drought responsive proteins using gene ontology hierarchy |
title_sort | identification of drought responsive proteins using gene ontology hierarchy |
topic | Hypothesis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3400982/ https://www.ncbi.nlm.nih.gov/pubmed/22829738 http://dx.doi.org/10.6026/97320630008595 |
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