若尔盖高原泥炭沼泽土壤微生物空间分布

doi:10.13287/j.1001-9332.202406.031

应用生态学报 ›› 2024, Vol. 35 ›› Issue (6): 1705-1715.doi: 10.13287/j.1001-9332.202406.031

若尔盖高原泥炭沼泽土壤微生物空间分布

王燚^1,2,3, 李文珊^1,2,3, 展鹏飞⁴, 王行^1,2,3*

¹西南林业大学云南省高原湿地保护修复与生态服务重点实验室, 昆明 650224;
²西南林业大学国家高原湿地研究中心/湿地学院, 昆明 650224;
³滇池湖泊生态系统云南省野外科学观测研究站, 昆明 650228;
⁴福建师范大学地理科学学院、碳中和未来技术学院, 福州 350007

收稿日期:2024-01-13 接受日期:2024-04-26 出版日期:2024-06-18 发布日期:2024-12-18
通讯作者: ^*E-mail: hwang17@163.com
作者简介:王燚, 男, 1995年生, 硕士研究生。主要从事湿地土壤微生物多样性研究。E-mail: 1286641040@qq.com
基金资助:
国家自然科学基金项目(32160311)、云南省基础研究计划项目(202201AT070057)和云南省青年人才项目(YNWR-QNBJ-2018-235)

Spatial distribution of soil microorganisms in the Zoige Plateau peatland, Southwest China

WANG Yi^1,2,3, LI Wenshan^1,2,3, ZHAN Pengfei⁴, WANG Hang^1,2,3*

¹Yunnan Key Laboratory of Plateau Wetland Conservation, Restoration and Ecological Services, Southwest Forestry University, Kunming 650224, China;
²National Plateau Wetlands Research Center/College of Wetlands, Southwest Forestry University, Kunming 650224, China;
³Dianchi Lake Ecosystem Observation and Research Station of Yunnan Province, Kunming 650228, China;
⁴School of Geographical Science/School of Carbon Neutrality Future Technology, Fujian Normal University, Fuzhou 350007, China

Received:2024-01-13 Accepted:2024-04-26 Online:2024-06-18 Published:2024-12-18

摘要/Abstract

摘要： 研究高原泥炭沼泽土壤微生物群落组成特征及空间分布格局对于维护高原湿地生态系统结构及功能稳定性具有重要意义。本研究采集若尔盖核心保护区内沿土壤水平与垂直方向分布的50个土壤样本,利用高通量测序技术,并结合Mantel检验和多元回归模型(MRM)多元回归统计方法,对土壤细菌和真菌群落多样性、局域尺度上的群落结构相似性空间分布特征及驱动因子进行分析。结果表明: 若尔盖高原泥炭沼泽土壤中的优势细菌和真菌类群分别为绿弯菌门(在水平和垂直方向上分别占总细菌群落的33.2%和25.1%)和子囊菌门(54.7%和76.4%);水平和垂直方向的微生物群落结构相似性均随采样点空间距离增加而逐渐降低,垂直方向上细菌和真菌群落的周转速率分别为水平方向的8.8和8.6倍。依据群落相对丰度将微生物划分为6个分类群,随着群落中稀有种数量的增加,群落距离衰减斜率降低,且条件性稀有或优势物种(CRAT)与总微生物群落的空间分布特征最相似。Mantel分析表明,土壤有机碳、总氮和活性磷是影响水平方向上细菌和真菌群落分布的关键驱动因子,而土壤有机碳、活性碳、pH值和土壤容重则是决定微生物垂直方向分布的主要因子。MRM分析进一步表明,土壤理化指标和空间距离均对微生物群落构建具有极显著影响,其中土壤因子对微生物群落垂直方向分布的解释度高于水平方向,且土壤因子对微生物群落分布的影响远大于空间因子通过扩散限制产生的影响。综上,高原泥炭沼泽土壤微生物群落具有更明显的垂直方向分布差异及环境响应特征。

关键词: 高原湿地, 土壤微生物, 微生物多样性, 高原泥炭沼泽, 环境响应

Abstract: Understanding the composition and spatial distribution patterns of microbial communities in plateau peatland soils is crucial for preserving the structural and functional stability of highland wetlands. We collected 50 soil samples from the core conservation area of Zoige peatland along horizontal and vertical distributions to analyze the soil bacterial and fungal diversity by using high-throughput sequencing technology, combined with Mantel tests and multiple regression on matrices (MRM) statistical methods, as well as the spatial distribution characteristics of community structure similarity at a local scale. The results showed that the dominant soil bacterial and fungal groups were Chloroflexi (accounting for 33.2% and 25.1% of the total bacterial community in horizontal and vertical directions, respectively) and Ascomycota (54.7% and 76.4%). The similarity of microbial community structure in both horizontal and vertical directions decreased with increasing spatial distance of the sampling points. The turnover rates of bacterial and fungal communities in the vertical direction were 8.8 and 8.6 times as those in the horizontal direction, respectively. Based on the relative abundance of the communities, we classified microbes into six groups. As the number of rare species in the community increased, the slope of community distance decay decreased. The conditionally rare or abundant taxa (CRAT) category group showed the most similar spatial distribution characteristics to the total microbial community. Mantel analysis indicated that soil organic carbon, total nitrogen, and available phosphorus were key factors driving the distribution of bacterial and fungal communities in the horizontal direction, while soil organic carbon, available carbon, pH, and soil bulk density were the main factors determining the vertical distribution. MRM analysis further showed that both soil physicochemical indicators and spatial distance significantly affected the assembly of microbial communities, where soil factors explained more about the vertical distribution of microbial communities than the horizontal distribution. The impact of soil factors on microbial community distribution was much greater than that of spatial factors through diffusion limitation. In summary, the microbial communities in the plateau peatland soils exhibited more pronounced vertical distribution differences and environmental response characteristics.

Key words: plateau wetland, soil microorganisms, microbial diversity, plateau peatland, environmental response

王燚, 李文珊, 展鹏飞, 王行. 若尔盖高原泥炭沼泽土壤微生物空间分布[J]. 应用生态学报, 2024, 35(6): 1705-1715.

WANG Yi, LI Wenshan, ZHAN Pengfei, WANG Hang. Spatial distribution of soil microorganisms in the Zoige Plateau peatland, Southwest China[J]. Chinese Journal of Applied Ecology, 2024, 35(6): 1705-1715.

参考文献

[1] 朱永官, 彭静静, 韦中, 等. 土壤微生物组与土壤健康. 中国科学:生命科学, 2021, 51(1): 1-11
[2] Yang Y, Li T, Wang Y, et al. Negative effects of multiple global change factors on soil microbial diversity. Soil Biology and Biochemistry, 2021, 156: 108229
[3] Jiao S, Qi J, Jin C, et al. Core phylotypes enhance the resistance of soil microbiome to environmental changes to maintain multifunctionality in agricultural ecosystems. Global Change Biology, 2022, 28: 6653-6664
[4] Zhang X, Liu S, Wang J, et al. Local community assembly mechanisms shape soil bacterial β diversity patterns along a latitudinal gradient. Nature Communications, 2020, 11: 5428
[5] Liu L, Chen H, Tian J. Varied response of carbon dioxide emissions to warming in oxic, anoxic and transitional soil layers in a drained peatland. Communications Earth & Environment, 2022, 3: 313
[6] 王好才, 夏敏, 刘圣恩, 等. 若尔盖高原泥炭沼泽湿地土壤细菌群落空间分布及其驱动机制. 生态学报, 2021, 41(7): 2663-2675
[7] Xue R, Zhao K, Yu X, et al. Deciphering sample size effect on microbial biogeographic patterns and community assembly processes at centimeter scale. Soil Biology and Biochemistry, 2021, 156: 108218
[8] Chu H, Sun H, Tripathi BM, et al. Bacterial community dissimilarity between the surface and subsurface soils equals horizontal differences over several kilometers in the western Tibetan Plateau. Environmental Microbiology, 2016, 18: 1523-1533
[9] Tao F, Huang Y, Hungate BA, et al. Microbial carbon use efficiency promotes global soil carbon storage. Nature, 2023, 618: 981-985
[10] Liu ZD, Song YY, Ma XY, et al. Deep soil microbial carbon metabolic function is important but often neglected: A study on the Songnen Plain reed wetland, Northeast China. Fundamental Research, 2023, 3: 833-843
[11] 刘超. 我国东北不同类型冻土区泥炭地土壤酶及微生物分布特征. 硕士论文. 哈尔滨. 哈尔滨师范大学, 2020
[12] Yang L, Jiang M, Zou Y, et al. Geographical distribution of iron redox cycling bacterial community in peatlands: Distinct assemble mechanism across environmental gradient. Frontiers in Microbiology, 2021, 12: 674411
[13] Wang HC, Qi JF, Xiao DR, et al. Bacterial community diversity and underlying assembly patterns along vertical soil profiles in wetland and meadow habitats on the Zoige Plateau, China. Soil Biology and Biochemistry, 2023, 184: 109076
[14] Luo L, Ye H, Zhang D, et al. The dynamics of phosphorus fractions and the factors driving phosphorus cycle in Zoige Plateau peatland soil. Chemosphere, 2021, 278: 130501
[15] Dai T, Zhang Y, Tang Y, et al. Identifying the key taxonomic categories that characterize microbial community diversity using full-scale classification: A case study of microbial communities in the sediments of Hangzhou Bay. FEMS Microbiology Ecology, 2016, 92: fiw150
[16] 朱耀军, 马牧源, 赵娜娜. 若尔盖高寒泥炭地修复技术进展与展望. 生态学杂志, 2020, 39(12): 4185-4192
[17] 罗明没, 陈悦, 杨刚, 等. 若尔盖退化泥炭地土壤原核微生物群落结构对水位恢复的短期响应. 植物生态学报, 2021, 45(5): 552-561
[18] Rodrigues JLM, Pellizari VH, Mueller R, et al. Conversion of the Amazon rainforest to agriculture results in biotic homogenization of soil bacterial communities. Proceedings of the National Academy of Sciences of the United States of America, 2013, 110: 988-993
[19] Caporaso JG, Lauber CL, Walters WA, et al. Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample. Proceedings of the National Academy of Sciences of the United States of America, 2011, 108: 4516-4522
[20] Toju H, Tanabe AS, Yamamoto S, et al. High-coverage ITS primers for the DNA-based identification of Ascomycetes and Basidiomycetes in environmental samples. PLoS One, 2012, 7(7): e40863
[21] Bolyen E, Rideout JR, Dillon MR, et al. Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. Nature Biotechnology, 2019, 37: 852-857
[22] Callahan BJ, Mcmurdie PJ, Rosen MJ, et al. DADA2: High-resolution sample inference from Illumina amplicon data. Nature Methods, 2016, 13: 581-583
[23] Pelin Y, Wegener PL, Pablo Y, et al. The SILVA and “All-species Living Tree Project (LTP)” taxonomic frameworks. Nucleic Acids Research, 2013, 42: D643-D648
[24] Chen W, Ren K, Isabwe A, et al. Stochastic processes shape microeukaryotic community assembly in a subtro-pical river across wet and dry seasons. Microbiome, 2019, 7: 138
[25] Wang X, Lu X, Yao J, et al. Habitat-specific patterns and drivers of bacterial β-diversity in China’s drylands. The ISME Journal, 2017, 11: 1345-1358
[26] Martiny JBH, Eisen JA, Penn K, et al. Drivers of bacterial beta-diversity depend on spatial scale. Proceedings of the National Academy of Sciences of the United States of America, 2011, 108: 7850-7854
[27] Wang X, Fang L, Beiyuan J, et al. Improvement of alfalfa resistance against Cd stress through rhizobia and arbuscular mycorrhiza fungi co-inoculation in Cd-contaminated soil. Environmental Pollution, 2021, 277: 116758
[28] Li M, Zhang K, Yan Z, et al. Soil water content shapes microbial community along gradients of wetland degradation on the Tibetan Plateau. Frontiers in Microbiology, 2022, 13: 824267
[29] 褚海燕, 王艳芬, 时玉, 等. 土壤微生物生物地理学研究现状与发展态势. 中国科学院院刊, 2017, 32(6): 585-592
[30] Duan Y, Wang X, Wang L, et al. Biogeographic patterns of soil microbe communities in the deserts of the Hexi Corridor, northern China. Catena, 2022, 211: 106026
[31] 费媛媛, 焦硕, 陆雅海. 中国东部水稻土壤丁酸互营降解微生物的地理分布格局. 北京大学学报: 自然科学版, 2021, 57(1): 143-152
[32] Tan W, Wang J, Bai W, et al. Soil bacterial diversity correlates with precipitation and soil pH in long-term maize cropping systems. Scientific Reports, 2020, 10: 6012
[33] Philippot L, Chenu C, Kappler A, et al. The interplay between microbial communities and soil properties. Nature Reviews Microbiology, 2023, 22: 1-14
[34] Wang X, Bei Q, Liu G, et al. Microbial abundance and community composition in different types of paddy soils in China and their affecting factors. Acta Pedologica Sinica, 2021, 58: 767-776
[35] Ji N, Liang D, Clark LV, et al. Host genetic variation drives the differentiation in the ecological role of the native Miscanthus root-associated microbiome. Microbiome, 2023, 11: 216
[36] 丁爽, 魏圣钊, 陈真亮, 等. 中国西南典型森林土壤微生物在不同土壤深度下的变化特征. 应用生态学报, 2023, 34(3): 614-622
[37] Kitson E, Bell NG. The response of microbial communities to peatland drainage and rewetting: A review. Frontiers in Microbiology, 2020, 11: 582812
[38] Sun L, Tsujii Y, Xu T, et al. Species of fast bulk-soil nutrient cycling have lower rhizosphere effects: A nutrient spectrum of rhizosphere effects. Ecology, 2023, 104: e3981
[39] 吴希慧, 王蕊, 高长青, 等. 土地利用驱动的土壤性状变化影响微生物群落结构和功能. 生态学报, 2021, 41(20): 7989-8002
[40] Liu L, Tian J, Wang H, et al. Stable oxic-anoxic transitional interface is beneficial to retard soil carbon loss in drained peatland. Soil Biology and Biochemistry, 2023, 181: 109024
[41] Debray R, Herbert RA, Jaffe AL, et al. Priority effects in microbiome assembly. Nature Reviews Microbiology, 2021, 20: 109-121
[42] Li W, Kuzyakov Y, Zheng Y, et al. Depth effects on bacterial community assembly processes in paddy soils. Soil Biology and Biochemistry, 2021, 165: 108517
[43] Bastida F, Eldridge DJ, García C, et al. Soil microbial diversity-biomass relationships are driven by soil carbon content across global biomes. The ISME Journal, 2021, 15: 2081-2091
[44] Wang C, Qu L, Yang L, et al. Large-scale importance of microbial carbon use efficiency and necromass to soil organic carbon. Global Change Biology, 2021, 27: 2039-2048
[45] Li J, Pei J, Fang C, et al. Thermal adaptation of microbial respiration persists throughout long-term soil carbon decomposition. Ecology Letters, 2023, 26: 1803-1814
[46] Tian Q, Jiang Q, Huang L, et al. Vertical distribution of soil bacterial communities in different forest types along an elevation gradient. Microbial Ecology, 2023, 85: 628-641
[47] Zhang R, Tian X, Xiang Q, et al. Response of soil microbial community structure and function to different altitudes in arid valley in Panzhihua, China. BMC Microbiology, 2022, 22: 1-11
[48] Tian Q, Jiang Y, Tang Y, et al. Soil pH and organic carbon properties drive soil bacterial communities in surface and deep layers along an elevational gradient. Frontiers in Microbiology, 2021, 12: 646124

若尔盖高原泥炭沼泽土壤微生物空间分布

Spatial distribution of soil microorganisms in the Zoige Plateau peatland, Southwest China

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