A Study on Community Characteristics of Forest Soil Bacteria in Lushan National Nature Reserve

doi:10.13466/j.cnki.lyzygl.2019.06.018

Abstract

Abstract:

Soil microbe is ecologically important contributor to various functioning of forest ecosystems.Because of the elevation gradient,subtropical mountainous forests are a complex ecosystem where the nutrient availability and soil conditions vary with elevation levels.Therefore,the subtropical mountainous forests provide aunique opportunity to study the relationship between forest microbial communities and multiple environmental factors.In this study,we present a comprehensive analysis of soil bacterial community composition and diversity along six elevations representing six typical vegetation types in a subtropical mountainous forest at the Lushan,China.A total of 24 phyla,49 classes and 62 orders were confirmed with the method of high-throughput sequencing technology.At the phylum level,the dominant phyla were Acidobacteria(53.84%),Proteobacteria(30.15%)and Actinobacteria(7.36%);other phyla,such as Bacteroidetes and Chloroflexi(0.64% and 0.28%),were much less abundant.Ellin 6513 was the most abundant order in soil bacterial community.The composition and diversity of bacterial communities did not show a certain trend across an elevation gradient from low via medium to high.Among the soil chemical indexes,the organic carbon and total mitrogen confent are more relevent to the soil bacterial community in the Lushan forest.

Key words: soil microbe, high-throughput sequencing, bacterial community structure, elevation, Lushan

CLC Number:

FENG Xiaochuan, CAO Xinguang, JU Wenhua, LIU kaimei. A Study on Community Characteristics of Forest Soil Bacteria in Lushan National Nature Reserve[J]. FOREST RESOURCES WANAGEMENT, 2019, (6): 101-107.

Figures/Tables 6

Tab.1

Tab.2

Tab.3

Fig.1

Fig.2

Fig.3

References 45

[1]	Verburg P S J, Dam D V, Hefting M M, et al. Microbial transformations of C and N in a boreal forest floor as affected by temperature[J]. Plant and Soil, 1999,208(2):187-197. doi: 10.1023/A:1004462324452
[2]	Reed S C, Townsend A R, Nemergut C D R. Microbial community shifts influence patterns in tropical forest nitrogen fixation[J]. Oecologia, 2010,164(2):521-531. doi: 10.1007/s00442-010-1649-6 pmid: 20454976
[3]	Leckie S E. Methods of microbial community profiling and their application to forest soils[J]. Forest Ecology and Management, 2005,220(1-3):88-106. doi: 10.1016/j.foreco.2005.08.007
[4]	Krivtsov V, Bezginova T, Salmond R, et al. Ecological interactions between fungi,other biota and forest litter composition in a unique Scottish woodland[J]. Forestry, 2006,79(2):201-216. doi: 10.1093/forestry/cpi066
[5]	Kulhánková A, Béguiristain T, Moukoumi J, et al. Spatial and temporal diversity of wood decomposer communities in different forest stands,determined by ITS rDNA targeted TGGE[J]. Annals of Forest Science, 2006,63(5):547-556. doi: 10.1051/forest:2006037
[6]	Courty P E, Buée M, Diedhiou A G, et al. The role of ectomycorrhizal communities in forest ecosystem processes:New perspectives and emerging concepts[J]. Soil Biology & Biochemistry, 2010,42(5):679-698. doi: 10.1016/j.soilbio.2009.12.006
[7]	Allen A S, Schlesinger W H. Nutrient limitations to soil microbial biomass and activity in loblolly pine forests[J]. Soil Biology & Biochemistry, 2004,36(4):581-589. doi: 10.1016/j.soilbio.2003.12.002
[8]	Carson J K, Campbell L, Rooney D, et al. Minerals in soil select distinct bacterial communities in their microhabitats[J]. FEMS Microbiology Ecology, 2009,67(3):381-388. doi: 10.1111/j.1574-6941.2008.00645.x pmid: 19187213
[9]	Lipson D A. Relationships between temperature responses and bacterial community structure along seasonal and altitudinal gradients[J]. FEMS microbiology ecology, 2007,59(2):418-427. doi: 10.1111/j.1574-6941.2006.00240.x pmid: 17328121
[10]	Gömöryová E, Hrivnák R, Janišová M, et al. Changes of the functional diversity of soil microbial community during the colonization of abandoned grassland by a forest[J]. Applied Soil Ecology, 2009,43(2-3):0-199.
[11]	Balser T C, Firestone M K. Linking microbial community composition and soil processes in a California annual grassland and mixed-conifer forest[J]. Biogeochemistry(Dordrecht), 2005,73(2):395-415.
[12]	Rösch C, Bothe H. Diversity of total,nitrogen-fixing and denitrifying bacteria in an acid forest soil[J]. European Journal of Soil Science, 2009,60(6):883-894. doi: 10.1111/j.1365-2389.2009.01167.x
[13]	刘驰, 李家宝, 芮俊鹏, 等. 16S rRNA基因在微生物生态学中的应用[J]. 生态学报, 2015,35(9):2769-2788. doi: 10.5846/stxb201306181726
[14]	Ligi T, Oopkaup K, Truu M, et al. Characterization of bacterial communities in soil and sediment of a created riverine wetland complex using high-throughput 16S rRNA amplicon sequencing[J]. Ecological Engineering, 2014,72:56-66. doi: 10.1016/j.ecoleng.2013.09.007
[15]	李晨华, 张彩霞, 唐立松, 等. 长期施肥土壤微生物群落的剖面变化及其与土壤性质的关系[J]. 微生物学报, 2014,54(3):319-329.
[16]	白晓旭, 史荣久, 尤业明, 等. 河南宝天曼不同林龄与林型森林土壤的细菌群落结构与多样性[J]. 应用生态学报, 2015,26(8):2273-2281.
[17]	Abril A B and Bucher E H. Variation in Soil Biological Characteristics on an Elevational Gradient in the Montane Forest of North-West Argentina[J]. Journal of Tropical Ecology, 2008,24(4):457-461. doi: 10.1017/S0266467408005154
[18]	Lin Yute, Huang Yuju, Tang Senlin, et al. Bacterial Community Diversity in Undisturbed Perhumid Montane Forest Soils in Taiwan[J]. Microbial Ecology, 2010,59(2):369-378. doi: 10.1007/s00248-009-9574-0 pmid: 19727930
[19]	刘光荣. 旅游干扰对庐山风景区微生物多样性的影响[J]. 山东农业大学学报:自然科学版, 2015,46(2):274-279.
[20]	姚协丰. 庐山亚热带森林生态系统六种不同类型土壤细菌多样性青枯病生防细菌筛选及降解二氯苯胺机理研究[D]. 南京:南京农业大学, 2010.
[21]	陆杨森, 熊金莲, 张明. 庐山土壤微生物类群及酶活特性[J]. 生态学杂志, 1993,12(5):25-28.
[22]	张洪霞. 土壤微生物多样性研究的DGGE/TGGE技术进展[J]. 核农学报, 2009,23(4):721-727.
[23]	刘信中, 王琅. 江西省庐山自然保护区生物多样性考察与研究[M]. 北京: 科学出版社, 2010: 111-243.
[24]	Zhang Jiajie, Kobert K, Flouri Tomáš, et al. PEAR:a fast and accurate Illumina Paired-End reAdmergeR[J]. Bioinformatics, 2014,30(5):614-620. doi: 10.1093/bioinformatics/btt593 pmid: 24142950
[25]	Vasileiadis S, Puglisi E, Arena M, et al. Soil Bacterial Diversity Screening Using Single 16S rRNA Gene V Regions Coupled with Multi-Million Read Generating Sequencing Technologies[J]. PLOS ONE, 2012,7(8):1-11.
[26]	Caporaso J G, Kuczynski J, Stombaugh J, et al. QIIME allows analysis of high-throughput community sequencing data[J]. Nature Methods, 2010,7(5):335-336. doi: 10.1038/nmeth.f.303 pmid: 20383131
[27]	Ahn J, Sinha R, Pei Z, et al. Human Gut Microbiome and Risk for Colorectal Cancer[J]. JNCI Journal of the National Cancer Institute, 2013,105(24):1907-1911. doi: 10.1093/jnci/djt300 pmid: 24316595
[28]	Adler C J, Dobney K, Weyrich L S, et al. Sequencing ancient calcified dental plaque shows changes in oral microbiota with dietary shifts of the Neolithic and Industrial revolutions[J]. Nature Genetics, 2013,45(4):450-455. doi: 10.1038/ng.2536
[29]	Schloss P D, Gevers D, Westcott S L. Reducing the Effects of PCR Amplification and Sequencing Artifacts on 16S rRNA-Based Studies[J]. PLOS ONE, 2011,6(12):1-14.
[30]	Fierer N, Leff J W, Adams B J, et al. Cross-biome metagenomic analyses of soil microbial communities and their functional attributes[J]. Proceedings of the National Academy of Sciences, 2012,109(52):21390-21395. doi: 10.1073/pnas.1215210110
[31]	Yuan Yanli, Si Guicai, Wang Jian, et al. Bacterial community in alpine grasslands along an altitudinal gradient on the Tibetan Plateau[J]. FEMS Microbiology Ecology, 2014,87(1):121-132. doi: 10.1111/1574-6941.12197 pmid: 23991911
[32]	Liu Junjie, Sui Yueyu, Yu Zhenhua, et al. High throughput sequencing analysis of biogeographical distribution of bacterial communities in the black soils of northeast China[J]. Soil Biology and Biochemistry, 2014,70:113-122. doi: 10.1016/j.soilbio.2013.12.014
[33]	Jangid K, Williams M A, Franzluebbers A J, et al. Land-use history has a stronger impact on soil microbial community composition than aboveground vegetation and soil properties[J]. Soil Biology & Biochemistry, 2011,43(10):2184-2193. doi: 10.1016/j.soilbio.2011.06.022
[34]	Araujo J F, De Castro A P, Costa M M C, et al. Characterization of Soil Bacterial Assemblies in Brazilian Savanna-Like Vegetation Reveals Acidobacteria Dominance[J]. Microbial Ecology, 2012,64(3):760-770. doi: 10.1007/s00248-012-0057-3 pmid: 22570118
[35]	Zhang Y G, Cong J, Lu H, et al. An Integrated Study to Analyze Soil Microbial Community Structure and Metabolic Potential in Two Forest Types[J]. PLoS ONE, 2014,9(4):1-10.
[36]	赵爱花, 杜晓军, 臧婧, 等. 宝天曼落叶阔叶林土壤细菌多样性[J]. 生物多样性, 2016,23(5):649-657.
[37]	杨官品, 男兰, 贾海波, 等. 土壤细菌遗传多样性及其与植被类型相关性研究[J]. 遗传学报, 2000,27(3), 278-282.
[38]	Qin Yanyuan, Li Jinhua, Wang Gang, et al. Effects of sowing legume species on functional diversity of soil microbial communities in abandoned fields[J]. Journal of Lanzhou University:Natural Science, 2009,45(3):55-60.
[39]	Zou X M, Ruan H H, Fu Y, et al. Estimating soil labile organic carbon and potential turnover rates using a sequential fumigation-incubation procedure[J]. Soil Biology & Biochemistry, 2005,37(10):1923-1928. doi: 10.1016/j.soilbio.2005.02.028
[40]	周桔, 雷霆. 土壤微生物多样性影响因素及研究方法的现状与展望[J]. 生物多样性, 2007,15(3), 306-311. doi: doi: 10.1360/biodiv.070069
[41]	汪杏芬, 李世仪, 白克智, 等. CO₂倍增对植物生长和土壤微生物生物量碳氮的影响[J]. 植物学报:英文版, 1998,40(12):1169-1172.
[42]	任建宏, 燕辉, 朱铭强, 等. 秦岭北坡4种植被类型的土壤养分状况和微生物特征比较研究[J]. 水土保持究, 2010,17(4):228-232.
[43]	Bryant J A, Lamanna C, Morlon H, et al. Microbes on mountainsides:Contrasting elevational patterns of bacterial and plant diversity[J]. Proceedings of the National Academy of Sciences of the United States of America, 2008,105(S1):11505-11511.
[44]	Noah F, McCain C M, Meir P, Zimmermann M, Rapp J M, Silman M R, Knight R. Microbes do not follow the elevational diversity patterns ofplants and animals[J]. Ecology, 2011,92(4):797-804. doi: 10.1890/10-1170.1 pmid: 21661542
[45]	Lin Y T, Whitman W B, Coleman D C, et al. Changes of soil bacterial communities in bamboo plantations at different elevations[J]. FEMS Microbiology Ecology, 2015,91(5):1-6.

样品编号	取样位置	经纬度	海拔/m	土壤类型	森林植被类型	主要层优势植物
HHP-H1	好汉坡	29°35'57″N,115°59'15″E	570	山地黄壤	常绿阔叶林	微毛柃、大青、青冈
HHP-H2	好汉坡	29°35'45″N,115°39'11″E	680	山地黄壤	常绿阔叶林	微毛柃、大青、青冈
HHP-H3	好汉坡	29°35'33″N,115°59'09″E	776	山地黄壤	常绿阔叶林	微毛柃、大青、青冈
HLS-H4	黄龙寺	29°33'06″N,115°57'50″E	975	山地黄棕壤	常绿与落叶阔叶混交林	毛竹、小叶白辛树、樟树
DYS-H5	大月山	29°33'53″N,115°59'04″E	1250	山地棕壤	针阔混交林	短柄枹、花柏;微毛柃
WLF-H6	五老峰	29°32'55″N,116°00'49″E	1350	山地棕壤	针叶林	黄山松、杜娟

样品编号	枯枝落叶层厚度/cm	土壤总氮/(g/kg)	有机碳/(g/kg)	pH
HHP-H1	8	3.22	42.83	4.28
HHP-H2	6	4.72	68.55	4.26
HHP-H3	5	5.29	74.75	4.25
HLS-H4	4	5.43	78.29	4.54
DYS-H5	6	4.54	70.76	4.20
WLF-H6	3	4.78	73.21	3.88

样品编号	优化序列	OTUs数/个	Chao 1指数	Simpson指数	Shannon指数
HHP-H1	23031	342	375.454	0.972	6.266
HHP-H2	25314	343	352.282	0.980	6.520
HHP-H3	22071	346	355.692	0.973	6.331
HLS-H4	22947	366	382.912	0.985	6.856
DYS-H5	21144	325	340.857	0.976	6.433
WLF-H6	22206	360	384.972	0.981	6.630