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MOESM1 of Identification of candidate genes controlling oil content by combination of genome-wide association and transcriptome analysis in the oilseed crop Brassica napus

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NIAID Data Ecosystem2026-03-11 收录
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https://figshare.com/articles/dataset/MOESM1_of_Identification_of_candidate_genes_controlling_oil_content_by_combination_of_genome-wide_association_and_transcriptome_analysis_in_the_oilseed_crop_Brassica_napus/9797723
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Additional file 1: Table S1. Seed oil content (SOC, % of seed weight) phenotypes of 588 accessions for GWAS analysis. 2016CQ, 2017CQ and 2018CQ refer to the three environments, CQ refers to Chongqing. BLUP represents the SOC phenotypic value obtained by the best linear unbiased prediction in three environments. Missing data are replaced by ‘− 999’. Table S2. The quality statistics of RNA sequencing data. Table S3. The number of differential genes is counted under HO/LO accessions. Table S4. Common differential lipid metabolism genes in four tested tissues under CQ24/CQ46 and CQ52/CQ46 based on KEGG pathway analysis. Table S5. All genes within the confidence interval of significant related SNPs with SOC. Table S6. Summary of gene expression of TAG biosynthesis and assembly pathway in all four tissues among LO (CQ46) and HO (CQ24, CQ52) Brassica napus lines. Table S7. Primer sequences for qRT-PCR verification in this study.
创建时间:
2019-09-10
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