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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...

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Autores principales: Sharma, Vinay, Sekhwal, Manoj Kumar, Swami, Ajit Kumar, Sarin, Renu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2012
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.
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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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