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RNA-seq Reveals Complicated Transcriptomic Responses to Drought Stress in a Nonmodel Tropic Plant, Bombax ceiba L.

Publication ,  Journal Article
Zhou, Z; Ma, H; Lin, K; Zhao, Y; Chen, Y; Xiong, Z; Wang, L; Tian, B
Published in: Evol Bioinform Online
2015

High-throughput transcriptome provides an unbiased approach for understanding the genetic basis and gene functions in response to different conditions. Here we sequenced RNA-seq libraries derived from a Bombax ceiba L. system under a controlled experiment. As a known medicinal and ornamental plant, B. ceiba grows mainly in hot-dry monsoon rainforests in Southeast Asia and Australia. Due to the specific growth environment, it has evolved a unique system that enables a physiologic response to drought stress. To date, few studies have characterized the genome-wide features of drought endurance in B. ceiba. In this study, we first attempted to characterize and identify the most differentially expressed genes and associated functional pathways under drought treatment and normal condition. Using RNA-seq technology, we generated the first transcriptome of B. ceiba and identified 59 differentially expressed genes with greater than 1,000-fold changes under two conditions. The set of upregulated genes implicates interplay among various pathways: plants growth, ubiquitin-mediated proteolysis, polysaccharides hydrolyzation, oxidative phosphorylation and photosynthesis, etc. In contrast, genes associated with stem growth, cell division, fruit ripening senescence, disease resistance, and proline synthesis are repressed. Notably, key genes of high RPKM levels in drought are AUX1, JAZ, and psbS, which are known to regulate the growth of plants, the resistance against abiotic stress, and the photosynthesis process. Furthermore, 16,656 microsatellite markers and 3,071 single-nucleotide polymorphisms (SNPs) were predicted by in silico methods. The identification and functional annotation of differentially expressed genes, microsatellites, and SNPs represent a major step forward and would serve as a valuable resource for understanding the complexity underlying drought endurance and adaptation in B. ceiba.

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Published In

Evol Bioinform Online

DOI

ISSN

1176-9343

Publication Date

2015

Volume

11

Issue

Suppl 1

Start / End Page

27 / 37

Location

United States

Related Subject Headings

  • Bioinformatics
  • 3105 Genetics
  • 3102 Bioinformatics and computational biology
  • 0802 Computation Theory and Mathematics
  • 0601 Biochemistry and Cell Biology
  • 0502 Environmental Science and Management
 

Citation

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Zhou, Z., Ma, H., Lin, K., Zhao, Y., Chen, Y., Xiong, Z., … Tian, B. (2015). RNA-seq Reveals Complicated Transcriptomic Responses to Drought Stress in a Nonmodel Tropic Plant, Bombax ceiba L. Evol Bioinform Online, 11(Suppl 1), 27–37. https://doi.org/10.4137/EBO.S20620
Zhou, Zhili, Huancheng Ma, Kevin Lin, Youjie Zhao, Yuan Chen, Zhi Xiong, Liuyang Wang, and Bin Tian. “RNA-seq Reveals Complicated Transcriptomic Responses to Drought Stress in a Nonmodel Tropic Plant, Bombax ceiba L.Evol Bioinform Online 11, no. Suppl 1 (2015): 27–37. https://doi.org/10.4137/EBO.S20620.
Zhou Z, Ma H, Lin K, Zhao Y, Chen Y, Xiong Z, et al. RNA-seq Reveals Complicated Transcriptomic Responses to Drought Stress in a Nonmodel Tropic Plant, Bombax ceiba L. Evol Bioinform Online. 2015;11(Suppl 1):27–37.
Zhou, Zhili, et al. “RNA-seq Reveals Complicated Transcriptomic Responses to Drought Stress in a Nonmodel Tropic Plant, Bombax ceiba L.Evol Bioinform Online, vol. 11, no. Suppl 1, 2015, pp. 27–37. Pubmed, doi:10.4137/EBO.S20620.
Zhou Z, Ma H, Lin K, Zhao Y, Chen Y, Xiong Z, Wang L, Tian B. RNA-seq Reveals Complicated Transcriptomic Responses to Drought Stress in a Nonmodel Tropic Plant, Bombax ceiba L. Evol Bioinform Online. 2015;11(Suppl 1):27–37.

Published In

Evol Bioinform Online

DOI

ISSN

1176-9343

Publication Date

2015

Volume

11

Issue

Suppl 1

Start / End Page

27 / 37

Location

United States

Related Subject Headings

  • Bioinformatics
  • 3105 Genetics
  • 3102 Bioinformatics and computational biology
  • 0802 Computation Theory and Mathematics
  • 0601 Biochemistry and Cell Biology
  • 0502 Environmental Science and Management