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林业科学 ›› 2026, Vol. 62 ›› Issue (6): 27-35.doi: 10.11707/j.1001-7488.LYKX20250771

• 前沿热点 • 上一篇    下一篇

北方湿地土壤活性微生物对低温胁迫的响应机制

李华靖1,2,3,李晶1,2,3,崔丽娟1,*()   

  1. 1. 湿地环境保护与生态修复全国重点实验室 中国林业科学研究院 北京 100091
    2. 中国林业科学研究院生态保护与修复研究所 北京 100091
    3. 中国林业科学研究院湿地研究所 北京 100091
  • 收稿日期:2025-12-24 修回日期:2026-03-20 出版日期:2026-06-10 发布日期:2026-06-13
  • 通讯作者: 崔丽娟 E-mail:wetlands108@126.com
  • 基金资助:
    中央级公益性科研院所基本科研业务费专项资金项目(CAFYBB2025MA016)。

Response Mechanisms of Soil Active Microorganisms in Northern Wetlands to Low-Temperature Stress

Huajing Li1,2,3,Jing Li1,2,3,Lijuan Cui1,*()   

  1. 1. State Key Laboratory of Wetland Conservation and Restoration Chinese Academy of Forestry Beijing 100091
    2. Institute of Ecological Conservation and Restoration, Chinese Academy of Forestry Beijing 100091
    3. Institute of Wetland Research, Chinese Academy of Forestry Bejing 100091
  • Received:2025-12-24 Revised:2026-03-20 Online:2026-06-10 Published:2026-06-13
  • Contact: Lijuan Cui E-mail:wetlands108@126.com

摘要:

目的: 探究冬季低温胁迫下不同湿地植被类型土壤活性微生物群落的动态变化规律,以期阐明低温条件下湿地生态系统关键生态功能(纤维素降解)维持的微生物学机制。方法: 分别在冬、春季节期间的2021年11月(低温胁迫前)、2022年1月(低温胁迫期间)和2022年3月(低温胁迫缓解后)采集香蒲和鸢尾的土壤样品,提取RNA进行高通量测序,同时采用3,5-二硝基水杨酸(DNS)比色法测定纤维素酶活性,通过计算活性微生物群落对低温胁迫的抵抗力和恢复力,运用双因素方差分析、回归分析、网络分析、热图分析和随机森林模型,揭示温度和植被类型对活性微生物群落、纤维素酶活性的影响并鉴定对酶活性影响最大的微生物类群。结果: 1)温度极显著影响土壤活性微生物群落丰富度(P < 0.001),不同的优势微生物类群表现出不同的响应策略。变形菌门、拟杆菌门对低温胁迫表现出高抵抗力,而酸杆菌门、放线菌门、蓝藻门、厚壁菌门、硝化螺旋菌门和浮霉菌门对低温胁迫表现出低抵抗力。2)香蒲和鸢尾的土壤微生物群落丰富度无显著差异,但鸢尾的土壤活性微生物对低温胁迫的抵抗力和恢复力更高,其微生物共现网络也更复杂。3)土壤纤维素酶活性受土壤温度极显著影响(P < 0.01),但在不同植被类型间无显著差异。随机森林模型分析显示,酸杆菌门是影响纤维素酶活性最重要的微生物类群。结论: 低温胁迫是影响活性微生物群落的关键因子,植被可通过增强微生物群落的稳定性和种间互作,提高活性微生物对低温胁迫的适应能力,合理配置植被有利于在低温条件下维持湿地生态系统功能。

关键词: 湿地低温胁迫, 植被, 活性微生物, 抵抗力和恢复力, 纤维素酶活性

Abstract:

Objective: This study aims to investigate the dynamic changes of soil active microbial communities in different wetland vegetation types under winter low-temperature stress, in order to elucidate the microbiological mechanisms that maintain key ecological functions (cellulose degradation) of wetland ecosystems under low-temperature conditions. Method: Soil samples were collected from Typha orientalis and Iris tectorum fields in November 2021 (before low-temperature stress), January 2022 (during low-temperature stress), and March 2022 (after low-temperature stress relief) during winter and spring. RNA was extracted for high-throughput sequencing, and cellulase activity was determined using the 3,5-dinitrosalicylic acid (DNS) colorimetric method. Resistance and resilience of active microbial communities to low-temperature stress were calculated. Two-way ANOVA, regression analysis, network analysis, heatmap analysis, and random forest models were used to reveal the effects of temperature and vegetation type on active microbial communities and cellulase activity, and to identify the microbial taxa that most influenced enzyme activity. Result: 1) Temperature significantly affected the richness of soil active microbial communities (P < 0.001), and different dominant microbial taxa exhibited distinct response strategies. Proteobacteria and Bacteroidota showed high resistance to low-temperature stress, while Acidobacteriota, Actinobacteriota, Cyanobacteria, Firmicutes, Nitrospirota, and Planctomycetota showed low resistance. 2) There was no significant difference in soil microbial community richness between T. orientalis and I. tectorum fields, but the soil active microorganisms in the I. tectorum field showed higher resistance and resilience to low-temperature stress, and its microbial co-occurrence network was more complex. 3) Soil cellulase activity was significantly affected by soil temperature (P < 0.01), but showed no significant difference between vegetation types. Random forest model analysis indicated that Acidobacteriota was the most important microbial taxon affecting cellulase activity. Conclusion: Low-temperature stress is a key factor affecting active microbial communities, while vegetation can improve the adaptability of active microbes to low-temperature stress by enhancing the stability and interspecific interactions of microbial communities. Proper vegetation allocation is beneficial for maintaining wetland ecosystem functions under low-temperature conditions.

Key words: wetland low-temperature stress, vegetation, active microbes, resistance and resilience, cellulase activity

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