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. 2017 Nov 24;8(12):345.
doi: 10.3390/genes8120345.

Characterization of the Transcriptome and Gene Expression of Tetraploid Black Locust Cuttings in Response to Etiolation

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Free PMC article

Characterization of the Transcriptome and Gene Expression of Tetraploid Black Locust Cuttings in Response to Etiolation

Nan Lu et al. Genes (Basel). .
Free PMC article

Abstract

Etiolation (a process of growing plants in partial or complete absence of light) promotes adventitious root formation in tetraploid black locust (Robinia pseudoacacia L.) cuttings. We investigated the mechanism underlying how etiolation treatment promotes adventitious root formation in tetraploid black locust and assessed global transcriptional changes after etiolation treatment. Solexa paired-end sequencing of complementary DNAs (cDNAs) from control (non-etiolated, NE) and etiolated (E) samples resulted in 107,564 unigenes. In total, 52,590 transcripts were annotated and 474 transcripts (211 upregulated and 263 downregulated) potentially involved in etiolation were differentially regulated. These genes were associated with hormone metabolism and response, photosynthesis, signaling pathways, and starch and sucrose metabolism. In addition, we also found significant differences of phytohormone contents, activity of following enzymes i.e., peroxidase, polyphenol oxidase and indole acetic acid oxidase between NE and E tissues during some cottage periods. The genes responsive to etiolation stimulus identified in this study will provide the base for further understanding how etiolation triggers adventitious roots formation in tetraploid black locus.

Keywords: Tetraploid Robinia pseudoacacia L.; etiolation; peroxidase activity; phytohormone; transcriptome.

Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
The photos of etiolated and non-etiolated tetraploid Robinia pseudoacacia cuttings. (A,C) Etiolated tetraploid R. pseudoacacia; (B,D) Non-etiolated tetraploid R. pseudoacacia cuttings.
Figure 2
Figure 2
The plant hormone content in etiolated and non-etiolated samples during the different cutting periods. (A) Indole acetic acid (IAA), (B) abscisic acid (ABA), (C) gibberellic acid (GA3), and (D) zeatin riboside (ZR) contents (ng/g) at different time points. Etiolated (E) treatment (blue) and control (non-etiolated, NE) treatment (red). * and ** denotes a significant difference (0.01 < p < 0.05, α = 0.05) or an extremely significant difference (p < 0.01, α = 0.05) between treatments. Error bars represent the standard deviation.
Figure 3
Figure 3
The peroxidase, indole acetic acid oxidase and polyphenol oxidase enzyme activity in etiolated and non-etiolated samples during the different cutting periods. (A) Peroxidase, (B) indole acetic acid oxidase, and (C) polyphenol oxidase enzyme activities (U/g). Etiolated (E) treatment (blue) and control (non-etiolated, NE) treatment (red). * and ** denote significant differences (0.01 < p < 0.05, α = 0.05) or extremely significant differences (p < 0.01, α = 0.05) between treatments. Error bars represent the standard deviation.
Figure 4
Figure 4
Clusters of orthologous groups (COG) classifications in tetraploid R. pseudoacacia.
Figure 5
Figure 5
Histogram of Gene Ontology (GO) classifications. The results are classified into three main categories: biological process, cellular component, and molecular function. The y-axis on the left side indicates the percent of genes in a category, and the y-axis on the right side represents the number of genes.
Figure 6
Figure 6
Clustering analysis of the total differentially expressed genes (DEGs) in etiolated (E) and control (non-etioleted, NE) plants based on their expression profiles obtained from RNA-sequencing (RNA-Seq) experiments. Color scale corresponds to the log2 (reads per kilobase of transcript per million mapped reads, RPKM) of different genes in the samples.

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