Deep sequencing analysis of the Kineococcus radiotolerans transcriptome in response to ionizing radiation.

Lufeng Li, Zhouwei Chen, Xianfeng Ding, Zhan Shan, Lili Liu, Jiangfeng Guo
Author Information
  1. Lufeng Li: College of Life Sciences, Zhejiang Sci-Tech University, No.2 Road, Xiasha, Hangzhou, Zhejiang, PR China. Electronic address: rabbitlee.bio@gmail.com.
  2. Zhouwei Chen: College of Life Sciences, Zhejiang Sci-Tech University, No.2 Road, Xiasha, Hangzhou, Zhejiang, PR China. Electronic address: chenzhouweiwenzhou@126.com.
  3. Xianfeng Ding: College of Life Sciences, Zhejiang Sci-Tech University, No.2 Road, Xiasha, Hangzhou, Zhejiang, PR China. Electronic address: bdd114@163.com.
  4. Zhan Shan: College of Life Sciences, Zhejiang Sci-Tech University, No.2 Road, Xiasha, Hangzhou, Zhejiang, PR China. Electronic address: zjzj@live.com.
  5. Lili Liu: College of Life Sciences, Zhejiang Sci-Tech University, No.2 Road, Xiasha, Hangzhou, Zhejiang, PR China. Electronic address: llliu@zstu.edu.cn.
  6. Jiangfeng Guo: College of Life Sciences, Zhejiang Sci-Tech University, No.2 Road, Xiasha, Hangzhou, Zhejiang, PR China. Electronic address: jfguo@zstu.edu.cn.

Abstract

Kineococcus radiotolerans is a gram-positive, radiation-resistant bacterium that was isolated from a radioactive environment. The synergy of several groups of genes is thought to contribute to the radio-resistance of this species of bacteria. Sequencing of the transcriptome, RNA sequencing (RNA-seq), using deep sequencing technology can reveal the genes that are differentially expressed in response to radiation in this bacterial strain. In this study, the transcriptomes of two samples (with and without irradiation treatment) were sequencing by deep sequencing technology. After the bioinformatics process, 143 genes were screened out by the differential expression (DE) analysis. In all 143 differentially expressed genes, 20 genes were annotated to be related to the radio-resistance based on the cluster analysis by the cluster of orthologous groups of proteins (COG) annotation which were validated by the quantitative RT-PCR. The pathway analysis revealed that these 20 validated genes were related to DNA damage repair, including recA, ruvA and ruvB, which were considered to be the key genes in DNA damage repair. This study provides the foundation to investigate the regulatory mechanism of these genes.

Keywords

MeSH Term

Actinomycetales
Computational Biology
Gene Expression Profiling
Gene Expression Regulation, Bacterial
High-Throughput Nucleotide Sequencing
Molecular Sequence Annotation
Radiation, Ionizing
Reproducibility of Results
Sequence Analysis, RNA
Transcriptome

Word Cloud

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