Computational search for UV radiation resistance strategies in Deinococcus swuensis isolated from Paramo ecosystems

Autoři: Jorge Díaz-Riaño aff001;  Leonardo Posada aff001;  Iván Camilo Acosta aff001;  Carlos Ruíz-Pérez aff002;  Catalina García-Castillo aff002;  Alejandro Reyes aff002;  María Mercedes Zambrano aff001
Působiště autorů: Corporación Corpogen Research Center, Bogotá D.C, Colombia aff001;  Research group in Computational Biology and Microbial Ecology, Department of Biological Sciences, Universidad de Los Andes, Bogotá D.C, Colombia aff002;  Max Planck Tandem Group in Computational Biology, Universidad de Los Andes, Bogotá D.C, Colombia aff003;  Center of Genome Sciences and Systems Biology, Washington University School of Medicine, Saint Louis, MO, United States of America aff004
Vyšlo v časopise: PLoS ONE 14(12)
Kategorie: Research Article
doi: 10.1371/journal.pone.0221540


Ultraviolet radiation (UVR) is widely known as deleterious for many organisms since it can cause damage to biomolecules either directly or indirectly via the formation of reactive oxygen species. The goal of this study was to analyze the capacity of high-mountain Espeletia hartwegiana plant phyllosphere microorganisms to survive UVR and to identify genes related to resistance strategies. A strain of Deinococcus swuensis showed a high survival rate of up to 60% after UVR treatment at 800J/m2 and was used for differential expression analysis using RNA-seq after exposing cells to 400J/m2 of UVR (with >95% survival rate). Differentially expressed genes were identified using the R-Bioconductor package NOISeq and compared with other reported resistance strategies reported for this genus. Genes identified as being overexpressed included transcriptional regulators and genes involved in protection against damage by UVR. Non-coding (nc)RNAs were also differentially expressed, some of which have not been previously implicated. This study characterized the immediate radiation response of D. swuensis and indicates the involvement of ncRNAs in the adaptation to extreme environmental conditions.

Klíčová slova:

Gene expression – Genomic libraries – Non-coding RNA – Ribosomal RNA – RNA sequencing – Sequence databases – Ultraviolet C – Ultraviolet radiation


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2019 Číslo 12