MicroRNAs (miRNA) have been shown to regulate plant pathogen interaction, by silencing genes, destructing or blocking of the translation of mRNA. However, their role in bacterial wilt, caused by Ralstonia solanacearum in ginger, has not been studied. In the present study, we utilized the transcriptome data from ginger-Ralstonia solanacearum interactions to characterize miRNAs from bacterial wilt-susceptible ginger (Zingiber officinale) and resistant mango ginger (Curcuma amada). The assembled mRNAs were utilized to generate miRNA targets and miRNAs. Considering the alignment results, we located a total of 2926 potential miRNA targets out of which 1551 were upregulated and 1419 were downregulated in ginger. In case of mango ginger, out of 2145 potential miRNA targets, 1506 were upregulated and 1594 were downregulated. In the resistance interactions with mango ginger, 1068 unique target genes were upregulated when compared to control. Gene Ontology (GO) analysis of differentially expressed target genes showed highest enrichment in response to cold, chloroplast and ATP binding in biological, cellular and molecular functions respectively. Nine target genes and their corresponding miRNAs were experimentally validated, which shows significant difference in expression with ginger-Ralstonia solanacearum interactions. The results will be very useful to disease resistant varieties of ginger.
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This is a list of supplementary files associated with this preprint. Click to download.
Supplementary Figure 1. Heatmap showing the expression levels of the nine transcripts in leaves tissues of ginger and mango ginger viz., gene expression levels of nine miRNA target gene in ginger and mango ginger leaf tissues at different time intervals post inoculation with R. solanacearum. Supplementary Figure 2. Heatmap showing the expression levels of the nine transcripts in rhizome tissues of ginger and mango ginger viz., gene expression levels of nine miRNA target gene in ginger and mango ginger leaf tissues at different time intervals post inoculation with R. solanacearum. Supplementary Figure 3. Heatmap showing the expression levels of the nine transcripts in leaves tissues of ginger and mango ginger viz., gene expression levels of nine miRNAs in ginger and mango ginger leaf tissues at different time intervals post inoculation with R. solanacearum. Supplementary Figure 4. Heatmap showing the expression levels of the nine transcripts in rhizome of ginger and mango ginger viz., gene expression levels of nine miRNAs in ginger and mango ginger leaf tissues at different time intervals post inoculation with R. solanacearum
Supplementary data 1 List of miRNA targets with their corresponding miRNA
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Posted 04 Dec, 2020
Posted 04 Dec, 2020
MicroRNAs (miRNA) have been shown to regulate plant pathogen interaction, by silencing genes, destructing or blocking of the translation of mRNA. However, their role in bacterial wilt, caused by Ralstonia solanacearum in ginger, has not been studied. In the present study, we utilized the transcriptome data from ginger-Ralstonia solanacearum interactions to characterize miRNAs from bacterial wilt-susceptible ginger (Zingiber officinale) and resistant mango ginger (Curcuma amada). The assembled mRNAs were utilized to generate miRNA targets and miRNAs. Considering the alignment results, we located a total of 2926 potential miRNA targets out of which 1551 were upregulated and 1419 were downregulated in ginger. In case of mango ginger, out of 2145 potential miRNA targets, 1506 were upregulated and 1594 were downregulated. In the resistance interactions with mango ginger, 1068 unique target genes were upregulated when compared to control. Gene Ontology (GO) analysis of differentially expressed target genes showed highest enrichment in response to cold, chloroplast and ATP binding in biological, cellular and molecular functions respectively. Nine target genes and their corresponding miRNAs were experimentally validated, which shows significant difference in expression with ginger-Ralstonia solanacearum interactions. The results will be very useful to disease resistant varieties of ginger.
Figure 1
Figure 2

Figure 3
Figure 4
Figure 5
Figure 6

Figure 7
This is a list of supplementary files associated with this preprint. Click to download.
Supplementary Figure 1. Heatmap showing the expression levels of the nine transcripts in leaves tissues of ginger and mango ginger viz., gene expression levels of nine miRNA target gene in ginger and mango ginger leaf tissues at different time intervals post inoculation with R. solanacearum. Supplementary Figure 2. Heatmap showing the expression levels of the nine transcripts in rhizome tissues of ginger and mango ginger viz., gene expression levels of nine miRNA target gene in ginger and mango ginger leaf tissues at different time intervals post inoculation with R. solanacearum. Supplementary Figure 3. Heatmap showing the expression levels of the nine transcripts in leaves tissues of ginger and mango ginger viz., gene expression levels of nine miRNAs in ginger and mango ginger leaf tissues at different time intervals post inoculation with R. solanacearum. Supplementary Figure 4. Heatmap showing the expression levels of the nine transcripts in rhizome of ginger and mango ginger viz., gene expression levels of nine miRNAs in ginger and mango ginger leaf tissues at different time intervals post inoculation with R. solanacearum
Supplementary data 1 List of miRNA targets with their corresponding miRNA
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