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    丁孟东, 危学达, 王玉, 祝绪礼. 利用系统作图解析藏川杨邻株互作遗传调控机理[J]. 北京林业大学学报. DOI: 10.12171/j.1000-1522.20220519
    引用本文: 丁孟东, 危学达, 王玉, 祝绪礼. 利用系统作图解析藏川杨邻株互作遗传调控机理[J]. 北京林业大学学报. DOI: 10.12171/j.1000-1522.20220519
    Ding Mengdong, Wei Xueda, Wang Yu, Zhu Xuli. Using system mapping to analyze genetic regulation mechanism of neighboring plant interaction in Populus szechuanica var. tibetica[J]. Journal of Beijing Forestry University. DOI: 10.12171/j.1000-1522.20220519
    Citation: Ding Mengdong, Wei Xueda, Wang Yu, Zhu Xuli. Using system mapping to analyze genetic regulation mechanism of neighboring plant interaction in Populus szechuanica var. tibetica[J]. Journal of Beijing Forestry University. DOI: 10.12171/j.1000-1522.20220519

    利用系统作图解析藏川杨邻株互作遗传调控机理

    Using system mapping to analyze genetic regulation mechanism of neighboring plant interaction in Populus szechuanica var. tibetica

    • 摘要:
      目的 植株之间的互作对生态系统的形成具有重要意义,本研究在邻株互作这一最小的种内互作单元水平上,研究植物间相互作用的遗传调控机制。
      方法 以不同系号的藏川杨自然群体作为研究材料,两两随机配对扦插于花盆中,调查其生长季的株高动态表型;结合本群体SNP标记数据,基于系统作图进行藏川杨的全基因组基因定位工作,定位显著QTL;利用GO富集分析和构建常微分互作网络,分析候选基因的功能。
      结果 (1)共定位到92个显著位点,可注释到31个候选基因。(2)GO富集分析中,生物学过程包括生长素信号通路和脱落酸信号通路等,分子功能包括内肽酶活性和蛋白酶活性等,细胞组分包括呼吸链和细胞色素等。(3)在31个候选基因中,第5、8、10、12、21号基因是直接效应网络的枢纽基因,第5、8、10、13号基因是间接效应网络的枢纽基因,第5、8、13号基因是上位互作网络的枢纽基因,其中5、10、13基因参与植物免疫反应和响应环境胁迫。
      结论 对于藏川杨间的种内邻株互作,系统作图可筛选互作相关的遗传位点,构建遗传调控网络并挖掘枢纽基因,可为解析木本植物互作的遗传机制提供新的视角。

       

      Abstract:
      Objective The interactions between plants are of great significance to the formation of ecosystems. This study investigated the genetic regulatory mechanisms of plant interactions at the level of neighboring plant interactions, the smallest unit of intraspecific interactions.
      Method Using the natural population of Populus szechuanica var. tibetica as research material, different series numbers were randomly paired and cuttings were planted in pots to investigate the growth dynamic phenotypes of plant height throughout the growing season. Combining SNP marker data from the population, system mapping was performed to locate significant QTLs. GO enrichment analysis and construction of ordinary differential interaction networks were used to analyze the functions of candidate genes.
      Result (1) A total of 92 significant loci were mapped, annotating 31 candidate genes. (2) In GO enrichment analysis, biological processes included auxin signaling pathways and abscisic acid signaling pathways, molecular functions included endopeptidase activity and protease activity, and cellular components included respiratory chains and cytochromes. (3) Among the 31 candidate genes, genes 5, 8, 10, 12 and 21 were hub genes in the direct effect network, genes 5, 8, 10 and 13 were hub genes in the indirect effect network, and genes 5, 8 and 13 were hub genes in the epistatic interaction network, with genes 5, 10 and 13 involved in plant immune response and environmental stress response.
      Conclusion For neighboring interactions among P. szechuanica var. tibetica, system mapping can screen for interaction-related genetic loci, construct genetic regulatory networks, and mine hub genes, providing a new perspective for analyzing the genetic mechanisms of woody plant interactions.

       

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