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应用生态学报 ›› 2026, Vol. 37 ›› Issue (4): 1003-1013.doi: 10.13287/j.1001-9332.202604.004

• 研究论文 • 上一篇    下一篇

混交兴安落叶松对胡桃楸根系分泌物与微生物群落结构的影响

黄茜茜1, 单成凤1, 杨立学1*, 董慧2   

  1. 1东北林业大学林学院, 红松国家林业和草原局重点实验室/森林生态系统可持续经营教育部重点实验室, 哈尔滨 150040;
    2辽宁省林业发展服务中心, 沈阳 110031
  • 收稿日期:2025-12-31 修回日期:2026-03-03 出版日期:2026-04-18 发布日期:2026-05-29
  • 通讯作者: *E-mail: yanglixue@nefu.edu.cn
  • 作者简介:黄茜茜, 女, 1999年生, 硕士研究生。主要从事森林培育研究。E-mail: huangxixi1212@126.com
  • 基金资助:
    中央财政林业科技推广示范项目(黑[2024]TG02号)

Effects of Larix gmelinii mixing on root exudates and microbial community structure of Juglans mandshurica

HUANG Xixi1, SHAN Chengfeng1, YANG Lixue1*, DONG Hui2   

  1. 1Key Laboratory of Korean Pine-National Forestry and Grassland Administration/Ministry of Education Key Laboratory of Sustainable Forest Ecosystem Management, School of Forestry, Northeast Forestry University, Harbin 150040, China;
    2Liaoning Forestry Development Service Center, Shenyang 110031, China
  • Received:2025-12-31 Revised:2026-03-03 Online:2026-04-18 Published:2026-05-29

摘要: 采用非靶向代谢组学和高通量测序技术,研究了胡桃楸纯林和胡桃楸-兴安落叶松混交林中胡桃楸根系分泌物的差异及KEGG功能注释与富集,根际微生物群落特征、功能及优势种网络结构,以及根系分泌物与微生物的关系。结果表明:在纯林与混交林胡桃楸根系分泌物中共鉴定出181种代谢物。其中,纯林有105种,与混交林相比,其吲哚菲啶、S-腺苷同型半胱氨酸等物质的相对含量更高,阿特拉津降解、环核苷酸信号等通路的富集程度更高;混交林有76种,与纯林相比,其薰草菌素C、苄基葡萄糖硫苷等物质的相对含量更高,生物素代谢、苯丙氨酸降解等通路的富集程度更高。在混交林中,兴安落叶松显著降低了胡桃楸根际土壤真菌群落的Ace指数(16.2%)、Chao1指数(16.2%),而真菌被孢霉门、担子菌门、罗兹菌门的相对丰度分别显著增加33.7%、39.6%、69.3%,细菌黏球菌门显著增加58.8%,真菌内生菌类群和细菌硝酸盐还原型类群的相对丰度分别显著增加35.5%和102.1%。冗余分析表明,苯甲酰胺类物质与3-(2-丙烯酸)-邻苯醌为显著影响根际真菌群落组成的主要因子,鞘脂类物质对细菌群落结构的独立贡献率达到41.7%。混交林中兴安落叶松改变了胡桃楸根系分泌物组成,重塑根际微生物群落,形成功能富集型结构,驱动代谢通路向生物素代谢、苯丙氨酸降解等营养循环方向转变。

关键词: 混交林, 根系分泌物, 根际微生物, 非靶向代谢组, 高通量测序

Abstract: Using untargeted metabolomic and high-throughput sequencing technique, we investigated the differences in root exudates of Juglans mandshurica between J. mandshurica pure plantation and Larix gmelinii-J. mandshurica mixed plantation, with KEGG functional annotation and enrichment analysis. We examined the characteristics, functions, and keystone species network structure of the rhizosphere microbial community, as well as the relationship between root exudates and microorganisms. The results showed that a total of 181 metabolites were identified in the root exudates of J. mandshurica, with significant differences between pure and mixed plantations. There were 105 types from pure plantation. Compared with the mixed plantation, compounds like indolephenanthridine and S-adenosylhomocysteine showed higher relative abundances in pure plantation, and pathways such as atrazine degradation and cyclic nucleotide signaling were more enriched. The mixed plantation contained 76 species of meta-bolites. Compared with the pure plantation, compounds like lavendustin C and benzyl glucosinolate showed higher relative abundances, and pathways including biotin metabolism and phenylalanine degradation were more enriched. In the mixed plantation, L. gmelinii significantly reduced the Ace index (16.2%) and the Chao1 index (16.2%) of fungal community in rhizosphere soil of J. mandshurica, increased the relative abundances of the fungal phyla Mortierellomycota (33.7%), Basidiomycota (39.6%), and Rozellomycota (69.3%), as well as the bacterial phylum Myxococcota (58.8%), and increased the relative abundances of the endophytic fungal groups and the nitrate-reducing bacterial groups by 35.5% and 102.1% in the rhizosphere soil. The redundancy analysis revealed that benzamide compounds and 3-(acrylic acid)-o-benzoquinone were the key factors significantly influencing the composition of rhizosphere fungal community. The independent contribution of sphingolipid substances to bacterial community structure reached 41.7%. After mixed with L. gmelinii, J. mandshurica could alter its root exudate composition, reshape the rhizosphere microbial community, form a functionally enriched structure, and drive the metabolic pathways towards biotin metabolism, phenylalanine degradation and other nutrient cycling directions.

Key words: mixed plantation, root exudate, rhizosphere microorganism, untargeted metabolomic, high-throughput sequencing