Computational search of UV radiation resistance strategies in Deinococcus swuensis, isolated from paramo ecosystems

Ultraviolet radiation (UVR) is widely known as deleterious for many organisms since it can cause damage to biomolecules either directly or indirectly via formation of reactive oxygen species. The goal of this study was to analyze the capacity of high-mountain Espeletia plant phyllosphere microorgani...

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Autores:
Díaz Riaño, Jorge Iván
Tipo de recurso:
Fecha de publicación:
2018
Institución:
Universidad de los Andes
Repositorio:
Séneca: repositorio Uniandes
Idioma:
eng
OAI Identifier:
oai:repositorio.uniandes.edu.co:1992/34599
Acceso en línea:
http://hdl.handle.net/1992/34599
Palabra clave:
Radiación ultravioleta - Investigaciones
Deinococcus swuensis - Investigaciones
Deinococcus swuensis - Efecto de la radiación ultravioleta
Espeletia - Investigaciones
Biología
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc-sa/4.0/
Description
Summary:Ultraviolet radiation (UVR) is widely known as deleterious for many organisms since it can cause damage to biomolecules either directly or indirectly via formation of reactive oxygen species. The goal of this study was to analyze the capacity of high-mountain Espeletia plant phyllosphere microorganisms to survive UVR and to identify genes related to resistance strategies. A strain of D. swuensis showed high survival rate of 60% after UVR treatment at 800 J/m2 and was used for differential expression analysis using RNA-seq after exposing cells to 400 J/m2 of UVR (whit survival rate >95%). Differentially expressed genes were identified, using a D. swuensis sequenced reference strain, with the R-Bioconductor package NOISeq and compared with other reported resistance strategies for bacteria. Few genes were identified as being overexpressed and these included transcriptional regulators and genes involved in protection against damage by UVR. Non-coding (nc)RNAs were also found to be differentially expressed, some of which have been previously implicated in the response to stress conditions. Domain prediction for some unannotated hypothetical proteins is also proposed. Elucidating UVR resistance strategies is crucial to develop and implement novel strategies against resistant bacteria and gain knowledge about their adaptation capacity to extreme environmental conditions.

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