Transcriptome analysis of sunflower varieties with different petiole inclination angles
收藏NIAID Data Ecosystem2026-05-02 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE295140
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( 1 ) The RNA-seq analysis of 6 samples was completed, and a total of 41.36 Gb Clean Data was obtained. The Clean Data of each sample reached 6.63 Gb, and the percentage of Q30 bases was 93.43 % and above.( 2 ) The Clean Reads of each sample were compared with the designated reference genome, and the alignment efficiency ranged from 87.86 % to 94.06 %. Based on the alignment results, alternative splicing prediction analysis, gene structure optimization analysis and new gene discovery were carried out, and 13,716 new genes were discovered, of which 6,959 were functionally annotated.( 3 ) In this project, Fold Change ≥ 1.5 and FDR < 0.01 were used as differential gene screening criteria. In each set of comparison groups, the results of differential expression gene list, differential expression gene function enrichment analysis, GSEA analysis, differential alternative splicing, and differential gene protein interaction were obtained. The detailed results are shown in each chapter of the text. In this study, based on the analysis of the petiole inclination angle of the leaf flat type ( large petiole inclination angle ) inbred line 19G and the leaf compact type ( small petiole inclination angle ) inbred line 20G, the Illumina Hi-Seq2500 high-throughput sequencing technology was used to sequence the transcriptome, and the differentially expressed genes were screened for GO and KEGG database comparison and annotation analysis.
创建时间:
2025-04-26



