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Distribution and Classification of Dehydrins in Selected Plant Species Using Bioinformatics Approach
BACKGROUND: Plant growth, reproduction and yields are severely damaged under adverse environmental stresses. These stresses can be either biotic or abiotic, and many stress related proteins are expressed in response to these stresses. Among these proteins dehydrins are reported to have a role primar...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Institute of Genetic Engineering and Biotechnology
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8148643/ https://www.ncbi.nlm.nih.gov/pubmed/34056027 http://dx.doi.org/10.30498/IJB.2020.2680 |
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author | Zaman Khan, Nadir Lal, Shahzadi Ali, Waqar Aasim, Muhammad Mumtaz, Saqib Kamil, Atif Shad Bibi, Noor |
author_facet | Zaman Khan, Nadir Lal, Shahzadi Ali, Waqar Aasim, Muhammad Mumtaz, Saqib Kamil, Atif Shad Bibi, Noor |
author_sort | Zaman Khan, Nadir |
collection | PubMed |
description | BACKGROUND: Plant growth, reproduction and yields are severely damaged under adverse environmental stresses. These stresses can be either biotic or abiotic, and many stress related proteins are expressed in response to these stresses. Among these proteins dehydrins are reported to have a role primarily in the abiotic stresses. Dehydrins are very diverse proteins and a uniform annotation system is needed for their functional characterization in the future research. OBJECTIVES: The aim of the present work is to identify, classify and analyze the expression of dehydrin proteins under different biotic and abiotic stresses in the selected plant species by using different computational tools. MATERIALS AND METHODS: Prosite database is used for dehydrin proteins identification, and to conform the location of conserved motifs in selected plant species. The dehydrins extracted from uniprot database were annotated, based on the ensemble plant gene id. Subcellular localization was predicted using PSI predictor tool. Dehydrin expression analyses were retrieved form the genevestigator tool. RESULTS: Dehydrins were annotated on the basis of dehydrin gene locus and conserved motifs available in different domain databases. Dehydrins were identified and annotated in Arabidopsis thaliana (13), Glycine max (12), Zea mays (05), Oryza sativa (11), Solanum tuberosum (05), Solanum lycopersicum (06), Triticum aestivum (32) and Vitis vinifera (06). It has been proposed that dehydrins are located primarily in cytosol and nucleus. Based on genevestigater expression analyses the plant species selected for this study contain all the classes of dehydrins, namely YnSKn, Kn, SKn, and YnKn; except class KnS. CONCLUSIONS: Dehydrins are diverse proteins and a uniform classification is introduced for their better characterization. The distribution of dehydrins in different tissues and developmental stages suggest an important function throughout plant growth cycle. It has also been concluded that dehydrins expressed particularly in drought, cold and salt stresses, and may have limited role in heat, anoxia, heavy-metal and biotic stresses as well. |
format | Online Article Text |
id | pubmed-8148643 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | National Institute of Genetic Engineering and Biotechnology |
record_format | MEDLINE/PubMed |
spelling | pubmed-81486432021-05-28 Distribution and Classification of Dehydrins in Selected Plant Species Using Bioinformatics Approach Zaman Khan, Nadir Lal, Shahzadi Ali, Waqar Aasim, Muhammad Mumtaz, Saqib Kamil, Atif Shad Bibi, Noor Iran J Biotechnol Research Article BACKGROUND: Plant growth, reproduction and yields are severely damaged under adverse environmental stresses. These stresses can be either biotic or abiotic, and many stress related proteins are expressed in response to these stresses. Among these proteins dehydrins are reported to have a role primarily in the abiotic stresses. Dehydrins are very diverse proteins and a uniform annotation system is needed for their functional characterization in the future research. OBJECTIVES: The aim of the present work is to identify, classify and analyze the expression of dehydrin proteins under different biotic and abiotic stresses in the selected plant species by using different computational tools. MATERIALS AND METHODS: Prosite database is used for dehydrin proteins identification, and to conform the location of conserved motifs in selected plant species. The dehydrins extracted from uniprot database were annotated, based on the ensemble plant gene id. Subcellular localization was predicted using PSI predictor tool. Dehydrin expression analyses were retrieved form the genevestigator tool. RESULTS: Dehydrins were annotated on the basis of dehydrin gene locus and conserved motifs available in different domain databases. Dehydrins were identified and annotated in Arabidopsis thaliana (13), Glycine max (12), Zea mays (05), Oryza sativa (11), Solanum tuberosum (05), Solanum lycopersicum (06), Triticum aestivum (32) and Vitis vinifera (06). It has been proposed that dehydrins are located primarily in cytosol and nucleus. Based on genevestigater expression analyses the plant species selected for this study contain all the classes of dehydrins, namely YnSKn, Kn, SKn, and YnKn; except class KnS. CONCLUSIONS: Dehydrins are diverse proteins and a uniform classification is introduced for their better characterization. The distribution of dehydrins in different tissues and developmental stages suggest an important function throughout plant growth cycle. It has also been concluded that dehydrins expressed particularly in drought, cold and salt stresses, and may have limited role in heat, anoxia, heavy-metal and biotic stresses as well. National Institute of Genetic Engineering and Biotechnology 2020-10-01 /pmc/articles/PMC8148643/ /pubmed/34056027 http://dx.doi.org/10.30498/IJB.2020.2680 Text en Copyright: © 2020 The Author(s); Published by Iranian Journal of Biotechnology https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 Unported License, ( http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Zaman Khan, Nadir Lal, Shahzadi Ali, Waqar Aasim, Muhammad Mumtaz, Saqib Kamil, Atif Shad Bibi, Noor Distribution and Classification of Dehydrins in Selected Plant Species Using Bioinformatics Approach |
title | Distribution and Classification of Dehydrins in Selected Plant Species Using Bioinformatics Approach |
title_full | Distribution and Classification of Dehydrins in Selected Plant Species Using Bioinformatics Approach |
title_fullStr | Distribution and Classification of Dehydrins in Selected Plant Species Using Bioinformatics Approach |
title_full_unstemmed | Distribution and Classification of Dehydrins in Selected Plant Species Using Bioinformatics Approach |
title_short | Distribution and Classification of Dehydrins in Selected Plant Species Using Bioinformatics Approach |
title_sort | distribution and classification of dehydrins in selected plant species using bioinformatics approach |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8148643/ https://www.ncbi.nlm.nih.gov/pubmed/34056027 http://dx.doi.org/10.30498/IJB.2020.2680 |
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