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De novo transcriptome analysis of mulberry (Morus L.) under drought stress using RNA-Seq technology

Russian Journal of Bioorganic Chemistry volume 40, pages 423–432 (2014)Cite this article

Abstract

A large-scale RNA sequencing (RNA-seq) of mulberry (Morus L.) was carried out between two samples in regular and drought stress condition. In this research, de novo assembly was performed, and totally 54736 contigs were obtained from the reads, including the scaffolded regions. 1051 genes were identified that were significantly differently expressed between the two samples. As determined by Gene Ontology (GO) annotation and the Kyoto Encyclopedia of Genes and Genomes pathway mapping, 10110 GO terms and 247 pathways were assigned and then analyzed. Thousands of SSR markers produced in this study will enable genetic linkage mapping construction and gene-based association studies. Seven unique genes showing different expression level in control and drought stress groups were subsequently analyzed and identified by realtime PCR. For lack of mulberry whole genome information, transcriptome and de novo analysis from the two samples will provide important and useful information for later research and help genetic breeding of mulberry.

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Authors and Affiliations

  1. School of Biology and Chemical Engineering, Jiangsu University of Science and Technology, Zhenjiang Jiangsu, 212018, PR China

    Heng Wang, Wei Tong, Li Feng, Qian Jiao, Li Long, Rongjun Fang & Weiguo Zhao

  2. Sericultural Research Institute, Chinese Academy of Agricultural Sciences, Zhenjiang Jiangsu, 212018, PR China

    Li Long & Weiguo Zhao

  3. School of Life Sciences, Nanjing University, Nanjing Jiangsu, 210093, PR China

    Rongjun Fang

  4. South Jiangsu Sericultural Research Institute, Liyang Jiangsu, 213300, PR China

    Weiguo Zhao

Authors
  1. Heng Wang
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  2. Wei Tong
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  3. Li Feng
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  4. Qian Jiao
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  5. Li Long
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  6. Rongjun Fang
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  7. Weiguo Zhao
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Correspondence to Weiguo Zhao.

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The article is published in the original.

The first two authors contributed equally.

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Wang, H., Tong, W., Feng, L. et al. De novo transcriptome analysis of mulberry (Morus L.) under drought stress using RNA-Seq technology. Russ J Bioorg Chem 40, 423–432 (2014). https://doi.org/10.1134/S1068162014040037

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  • DOI: https://doi.org/10.1134/S1068162014040037

Keywords

  • mulberry
  • drought stress
  • RNA-seq
  • de novo assembly
  • transcriptome
  • gene expression