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园艺学报 ›› 2024, Vol. 51 ›› Issue (2): 281-294.doi: 10.16420/j.issn.0513-353x.2023-0761

• 遗传育种·种质资源·分子生物学 • 上一篇    下一篇

番茄含糖量不同的两个材料果实转录组初步分析

张文昊1,2,张 辉1,刘雨婷1,王 艳3,张迎迎1,王馨曼1,王全华2,朱为民1,杨学东1,*   

  1. 1上海市农业科学院园艺研究所,上海市设施园艺重点实验室,上海 201413;2上海师范大学生命科学学院,上海 201400;3安徽省农业科学院园艺研究所,合肥 230031
  • 出版日期:2024-02-25 发布日期:2024-02-26
  • 基金资助:
    上海市科技兴农项目[沪农科推字(2022)第1-7号)]

Preliminary Transcriptome Analysis in Two Tomato Fruits Materials with Different Sugar Content

ZHANG Wenhao1,2,ZHANG Hui1,LIU Yuting1,WANG Yan3,ZHANG Yingying1,WANG Xinman1,WANG Quanhua2,ZHU Weimin1,and YANG Xuedong1,*   

  1. 1上海市农业科学院园艺研究所,上海市设施园艺重点实验室,上海 201413;2上海师范大学生命科学学院,上海 201400;3安徽省农业科学院园艺研究所,合肥 230031
  • Published:2024-02-25 Online:2024-02-26

摘要: 以高含糖量(8%)和普通含糖量(4.5%)番茄为研究材料,选取绿熟期、转色期、粉红期和红熟期的果实样品,通过转录组测序比较两种材料间的基因表达差异。分析表明,普通番茄与高糖番茄4个时期共有的差异基因有288个,其中下调的有174个,上调的有114个,转色期特有的差异表达基因数量最多。GO分析表明,差异表达基因显著富集在转色期,且富集的GO功能类也最多。KEGG分析表明,转色期富集的差异表达基因及相关通路最多,主要集中在糖、酸代谢等通路。对糖、酸代谢过程关键酶的相关基因进行聚类分析,发现有30个关键差异表达基因。

关键词: 番茄, 含糖量, 成熟期, 转录组分析

Abstract: High sugar(8%)and common sugar(4.5%)tomatoes were used as the research materials. Fruit samples were collected at the mature green stage,the breaker stage,the pink stage,and the red ripe stage. Transcriptome sequencing was conducted to analyze the differences in gene expression between these two materials. The analysis revealed there 288 differentially expressed genes(DEGs)between common and high sugar tomatoes across these four stages,with 174 down-regulated DEGs and 114 up-regulated DEGs. Notably,the breaker stage showed the highest number of DEGs between these two materials. GO analysis demonstrated significant enrichment of DEGs and GO terms at the breaker stage with the greatest number of GO terms identified at this stage. Furthermore,KEGG analysis showed that the DEGs and related pathways,particularly sugar and acid metabolism pathways,were concentrated at the breaker stage. Clustering analysis of key enzyme genes involved in sugar and acid metabolism identified 30 DEGs.

Key words: tomato, sugar content, maturity stage, transcriptome analysis

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