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Gene Expression Analysis of Four Radiation-resistant Bacteria
To investigate the general radiation-resistant mechanisms of bacteria, bioinformatic method was employed to predict highly expressed genes for four radiation-resistant bacteria, i.e. Deinococcus geothermalis (D. geo), Deinococcus radiodurans (D. rad), Kineococcus radiotolerans (K. rad) and Rubrobact...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Libertas Academica
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4510606/ https://www.ncbi.nlm.nih.gov/pubmed/26244019 |
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author | Gao, Na Ma, Bin-Guang Zhang, Yu-Sheng Song, Qin Chen, Ling-Ling Zhang, Hong-Yu |
author_facet | Gao, Na Ma, Bin-Guang Zhang, Yu-Sheng Song, Qin Chen, Ling-Ling Zhang, Hong-Yu |
author_sort | Gao, Na |
collection | PubMed |
description | To investigate the general radiation-resistant mechanisms of bacteria, bioinformatic method was employed to predict highly expressed genes for four radiation-resistant bacteria, i.e. Deinococcus geothermalis (D. geo), Deinococcus radiodurans (D. rad), Kineococcus radiotolerans (K. rad) and Rubrobacter xylanophilus (R. xyl). It is revealed that most of the three reference gene sets, i.e. ribosomal proteins, transcription factors and major chaperones, are generally highly expressed in the four bacteria. Recombinase A (recA), a key enzyme in recombinational repair, is predicted to be highly or marginally highly expressed in the four bacteria. However, most proteins associated with other repair systems show low expression levels. Some genes participating in ‘information storage and processing,’ ‘cellular processes and signaling’ and ‘metabolism’ are among the top twenty predicted highly expressed (PHX) genes in the four genomes. Many antioxidant enzymes and proteases are commonly highly expressed in the four bacteria, indicating that these enzymes play important roles in resisting irradiation. Finally, a number of ‘hypothetical genes’ are among the top twenty PHX genes in each genome, some of them might contribute vitally to resist irradiation. Some of the prediction results are supported by experimental evidence. All the above information not only helps to understand the radiation-resistant mechanisms but also provides clues for identifying new radiation-resistant genes from these bacteria. |
format | Online Article Text |
id | pubmed-4510606 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Libertas Academica |
record_format | MEDLINE/PubMed |
spelling | pubmed-45106062015-08-04 Gene Expression Analysis of Four Radiation-resistant Bacteria Gao, Na Ma, Bin-Guang Zhang, Yu-Sheng Song, Qin Chen, Ling-Ling Zhang, Hong-Yu Genomics Insights Original Research To investigate the general radiation-resistant mechanisms of bacteria, bioinformatic method was employed to predict highly expressed genes for four radiation-resistant bacteria, i.e. Deinococcus geothermalis (D. geo), Deinococcus radiodurans (D. rad), Kineococcus radiotolerans (K. rad) and Rubrobacter xylanophilus (R. xyl). It is revealed that most of the three reference gene sets, i.e. ribosomal proteins, transcription factors and major chaperones, are generally highly expressed in the four bacteria. Recombinase A (recA), a key enzyme in recombinational repair, is predicted to be highly or marginally highly expressed in the four bacteria. However, most proteins associated with other repair systems show low expression levels. Some genes participating in ‘information storage and processing,’ ‘cellular processes and signaling’ and ‘metabolism’ are among the top twenty predicted highly expressed (PHX) genes in the four genomes. Many antioxidant enzymes and proteases are commonly highly expressed in the four bacteria, indicating that these enzymes play important roles in resisting irradiation. Finally, a number of ‘hypothetical genes’ are among the top twenty PHX genes in each genome, some of them might contribute vitally to resist irradiation. Some of the prediction results are supported by experimental evidence. All the above information not only helps to understand the radiation-resistant mechanisms but also provides clues for identifying new radiation-resistant genes from these bacteria. Libertas Academica 2009-06-16 /pmc/articles/PMC4510606/ /pubmed/26244019 Text en © 2009 the author(s), publisher and licensee Libertas Academica Ltd. It is published under the Creative Commons Attribution By licence. For further information go to: http://creativecommons.org/licenses/by/3.0/. |
spellingShingle | Original Research Gao, Na Ma, Bin-Guang Zhang, Yu-Sheng Song, Qin Chen, Ling-Ling Zhang, Hong-Yu Gene Expression Analysis of Four Radiation-resistant Bacteria |
title | Gene Expression Analysis of Four Radiation-resistant Bacteria |
title_full | Gene Expression Analysis of Four Radiation-resistant Bacteria |
title_fullStr | Gene Expression Analysis of Four Radiation-resistant Bacteria |
title_full_unstemmed | Gene Expression Analysis of Four Radiation-resistant Bacteria |
title_short | Gene Expression Analysis of Four Radiation-resistant Bacteria |
title_sort | gene expression analysis of four radiation-resistant bacteria |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4510606/ https://www.ncbi.nlm.nih.gov/pubmed/26244019 |
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