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利用转录组挖掘核桃雌雄花分化相关功能基因

Utilizing Transcriptomics to Excavate Functional Genes Related to Differentiation of Male and Female Flowers in Walnut

  • 摘要:
    目的 核桃是雌雄同株异花异熟植物,是世界上重要的经济林树种之一。雌雄花芽比例不协调,会造成核桃果实产量不高,从而严重影响核桃林的经济效益。因此,本研究拟通过对核桃花芽性别分化的分子机制研究,结合转录组测序技术,初步筛选出对核桃花芽分化及开花调控有作用的候选基因,以期为后续探究核桃花芽调控通路奠定基础,进一步挖掘控制雌雄花芽性别分化的通路,为核桃经济林提高生产效益提供理论依据。
    方法 采集核桃不同时期的雌雄花芽,进行转录组测序,对测序结果进行转录组数据分析,结合GO富集以及KEGG等筛选出显著差异表达的基因。进而进行实时荧光定量PCR验证,筛选出候选基因。
    结果 根据转录组数据分析结果,选取在雌雄花芽四个不同的发育阶段中以雌花芽为对照雄花芽稳定上调或下调的基因,并对雌雄花芽处于生理分化期显著差异前百名的基因进行基因功能预测。再根据 GO 和 KEGG 富集分析的结果,参考与花发育基因相关的文献,筛选出18个在花芽分化中起调控作用的基因。最后通过RT-qPCR验证结果与转录组数据分析结果相结合,筛选出10个基因。
    结论 通过转录组数据结果分析,综合RT-qPCR结果共筛选了10个候选基因,分别为JrLDOX、JrFT、JrAG1、JrAG2、JrCAL-A、JrMADS6、JrKD21、Jrncβ-GLU、JrFTM、JrLEY

     

    Abstract:
    Objective Walnut (Juglans regia L.). is a monoecious, dichogamous species, and a major global nut crop. However, mismatched ratios of male and female flower buds limit fruit set and reduce orchard profitability. This study investigated the molecular mechanism of walnut flower bud sex differentiation using transcriptome sequencing to identify candidate genes regulating bud differentiation and flowering, thereby laying a foundation for targeted manipulations of sex differentiation and improved yield.
    Method Male and female flower buds at multiple developmental stages were collected for RNA-seq. Differentially expressed genes (DEGs) were identified and functionally annotated via GO enrichment and KEGG pathway analyses. Selected DEGs were validated by quantitative real-time PCR (RT-qPCR) to refine the candidate set.
    Result Transcriptomic analysis revealed genes that were consistently up- or down-regulated across four developmental stages of male and female flower buds. And we selected the 100 genes showing the most significant sex-related expression during the physiological differentiation phase and predicted their functions. Combined with GO and KEGG enrichment analysis, a total of 18 genes that may regulate flower bud differentiation were screened by referring to the literature related to flower development genes. Subsequent RT-qPCR validation, integrated with transcriptome data, narrowed this set down to 10 candidate genes.
    Conclusion Through the analysis of transcriptome data results, a total of 10 candidate genes were screened based on RT-qPCR results.

     

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