BMC Genomics (Oct 2019)

Characterization of genome-wide variations induced by gamma-ray radiation in barley using RNA-Seq

  • Cong Tan,
  • Xiao-Qi Zhang,
  • Yin Wang,
  • Dianxin Wu,
  • Matthew I. Bellgard,
  • Yanhao Xu,
  • Xiaoli Shu,
  • Gaofeng Zhou,
  • Chengdao Li

DOI
https://doi.org/10.1186/s12864-019-6182-3
Journal volume & issue
Vol. 20, no. 1
pp. 1 – 8

Abstract

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Abstract Background Artificial mutagenesis not only provides a new approach to increase the diversity of desirable traits for breeding new varieties but are also beneficial for characterizing the genetic basis of functional genes. In recent decades, many mutation genes have been identified which are responsible for phenotype changes in mutants in various species including Arabidopsis and rice. However, the mutation feature in induced mutants and the underlying mechanisms of various types of artificial mutagenesis remain unclear. Results In this study, we adopted a transcriptome sequencing strategy to characterize mutations in coding regions in a barley dwarf mutant induced by gamma-ray radiation. We detected 1193 genetic mutations in gene transcription regions introduced by gamma-ray radiation. Interestingly, up to 97% of the gamma irradiation mutations were concentrated in certain regions in chromosome 5H and chromosome 7H. Of the 26,745 expressed genes, 140 were affected by gamma-ray radiation; their biological functions included cellular and metabolic processes. Conclusion Our results indicate that mutations induced by gamma-ray radiation are not evenly distributed across the whole genome but located in several concentrated regions. Our study provides an overview of the feature of genetic mutations and the genes affected by gamma-ray radiation, which should contribute to a deeper understanding of the mechanisms of radiation mutation and their application in gene function analysis.

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