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Additional file 2 of Temporal responses of conserved miRNAs to drought and their associations with drought tolerance and productivity in rice

Authors :
Xia, Hui
Shunwu Yu
Kong, Deyan
Xiong, Jie
Xiaosong Ma
Chen, Liang
Lijun Luo
Publication Year :
2020
Publisher :
figshare, 2020.

Abstract

Additional file 2: Figure S1. Distribution of the clean reads in small RNA libraries. Figure S2. Proportions of small RNAs in different length among genotypes (a), time points (b), and different treatments (c). Figure S3. A heatmap of the frequency of genotypes for drought-responsive miRNAs during drought (D1-D5). Figure S4. A heatmap of the frequency of time points (D1-D5) for drought-responsive miRNAs among six genotypes. Figure S5. Summary of drought-responsive miRNAs (DRMs) and recovery-related miRNAs (RRMs). a. Frequencies of a DRM among genotypes and time-points. b. Venn diagram of DRMs and RRMs. Figure S6. Expressions of osa-mR408-5p and its target gene LOC_Os12g40890 quantified by qPCR in transgenic lines overexpressing pre-miRNA408. Figure S7. A heatmap describing the involvements of DRMs in biological processes based on the Gene Ontology enrichment using their highly correlated drought-responsive genes (|PCC > 0.6|). The blue (1) color indicates significant enrichment (FDR 0.05). Figure S8. A heatmap describing the involvements of DRMs in metabolic pathways based on the KEGG enrichment using their highly correlated drought-responsive genes (|PCC > 0.6|). The blue (1) color indicates the significant enrichment (p 0.05). Figure S9. Impacts of OsmiR1870-3p and OsmiR1870-5p on rice transcriptome. a. Venn diagram of positively (PCC > 0.4) and negatively (PCC

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....103827db4ac29764954e65a9f372060f
Full Text :
https://doi.org/10.6084/m9.figshare.11986515.v1