15 research outputs found

    Additional file 1: Table S1. of microRNA-dependent gene regulatory networks in maize leaf senescence

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    Summary of small RNA classes in the samples. Table S2. Expression abundance of the known miRNAs. Table S3. Regions of the target genes identified by degradome sequencing. Table S4. Primers used in miRNA and target gene validation. (DOCX 61 kb

    Additional file 2: Table S2. of Genome-wide identification of soybean microRNA responsive to soybean cyst nematodes infection by deep sequencing

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    Significantly Differentially expressed miRNAs identified in SCN-infected soybean roots compared with control. A table of all DE miRNAs identified from each treatment. The q-value was used to consider for statistical significance, with log2 ratio of normalized miRNA expression in SCN infection compared with control. (XLSX 14 kb

    Additional file 1: Table S1. of Genome-wide identification of soybean microRNA responsive to soybean cyst nematodes infection by deep sequencing

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    Total known miRNAs identified in Glycines max from all small RNA-seq libraries. The value was the mean of three replicates for each treatment and normalized as CPM. (XLSX 51 kb

    Additional file 2: Figure S1. of microRNA-dependent gene regulatory networks in maize leaf senescence

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    T-plot of miRNA target genes. Five different categories of T-plots are shown. The degradome tag distributions along the target mRNA sequence are exhibited. The red line represents the sliced target transcripts. (TIF 4679 kb

    STTM165/166 plants exhibit drought stress resistance phenotype.

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    <p>(A) Drought resistance phenotype. 3-week-old plants (upper panel) were grown under the same conditions but without irrigation for 14 days (middle panel), and then rewatered for 2 days (lower panel). (B) Quantification of the survival rate. Forty plants of wild type and STTM165/166 were used in each experiment, and the survival rate was calculated from the results of four independent experiments. (C) Water loss assay. Aerial parts of 3-week-old plants were detached and weighed at the indicated time points. Water content at any time point was calculated as percentage of the fresh weight at time zero. Data were derived from four independent experiments (±SD).</p

    PHB promotes <i>ABI4</i> expression by directly binding to its promoter.

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    <p>(A) <i>ABI4</i> expression was analyzed in wild type and STTM165/166 2-day-old seedlings using qRT-PCR. (B) <i>ABI4</i> expression was analyzed in <i>PHB</i>:<i>PHB G202G-YFP</i> lines using qRT-PCR. (C) Analysis of <i>ABI4</i> promoter. A 3.0kb fragment upstream of ATG was chosen for the promoter analysis. (D) EMSA assay showed that PHB binds to an <i>ABI4</i> promoter region. Labeled probe of the <i>ABI4</i> promoter region was incubated with GST-PHB fusion protein. For the competition test, a non-labeled probe was added at 10-fold and 100-fold concentrations.</p

    PHB directly upregulates the expression of <i>BG1</i>.

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    <p>(A) <i>BG1</i> expression was analyzed using qRT-PCR in <i>PHB</i>:<i>PHB G202G-YFP</i> lines. (B) Analysis of <i>BG1</i> promoter. The diagram shows a 4.0kb fragment upstream of the first ATG codon. (C) ChIP-qPCR was performed using specific primers corresponding to different promoter regions. (D) EMSA assay showed that PHB binds to the <i>BG1</i> promoter region. Labeled probes of the <i>BG1</i> promoter region were incubated with GST-PHB fusion protein. For the competition test, a non-labeled probe was added at 10-fold and 100-fold concentrations.</p
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