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1.
以内蒙古贝加尔针茅草原、大针茅草原和克氏针茅草原为研究对象,采用氯仿熏蒸法和磷脂脂肪酸(PLFA)分析方法研究了放牧与围栏条件下内蒙古针茅草原土壤微生物生物量和群落结构特征的变化情况。研究表明放牧与围栏草地土壤微生物生物量和群落结构差异显著。氯仿熏蒸法分析结果表明内蒙古针茅草原土壤微生物生物量碳的含量介于166.6-703.5mg·kg^-1之间,微生物生物量氮含量介于30.34-92.15mg·kg^-1之间,其中贝加尔针茅草原土壤微生物生物量碳、氮最高,大针茅草原次之,克氏针茅草原则最低。放牧条件下,贝加尔针茅草原、大针茅草原土壤微生物生物量碳、氮显著低于围栏草地,克氏针茅草原则无显著变化。PLFA分析结果显示,内蒙古针茅草原土壤微生物群落PLFAs种类、含量丰富,共检测出28种PLFA生物标记磷脂脂肪酸,并且以直链饱和脂肪酸和支链饱和脂肪酸为主,相对含量占总量的2/3左右,其中贝加尔针茅草原土壤微生物含量最丰富,其围栏样地土壤的PLFA含量达到27.3nmol·g-1,大针茅草原和克氏针茅草原依次降低。围栏条件下,各类型草原土壤细菌脂肪酸与总PLFA含量均显著高于放牧草地,真菌脂肪酸含量则因草原类型不同各有差异;放牧导致各类型草原革兰氏阳性细菌PLFAs/革兰氏阴性细菌PLFAs(GPPLFAs/GNPLFAs)比值显著降低,而除了克氏针茅草原,细菌PLFAs/真菌PLFAs比值则显著升高。PLFAs主成分分析表明,放牧和围栏处理对内蒙古针茅草原土壤微生物群落结构产生影响,且围栏处理的影响程度大于放牧处理。经相关分析表明,氯仿熏蒸法和PLFA分析方法之间有很好的一致性,且土壤微生物PLFAs与土壤有机质、全磷、硝态氮显著相关。  相似文献   

2.
通过在石河子大学农学院试验站开展加工番茄连作定点微区试验,采用氯仿熏蒸和磷脂脂肪酸(PLFA)法相结合,研究了不同连作处理(种植1 a、连作3 a、5 a和7 a)对新疆加工番茄花果期和成熟期根际土壤微生物群落结构及土壤微生物量的影响。结果表明,连作导致土壤微生物量碳(SMBC)、微生物量氮(SMBN)和微生物熵(q MB)下降,SMBC/SMBN升高,而微生物量磷(SMBP)随连作年限和生育期的变化而不同。连作显著增加了真菌PLFAs含量,降低了细菌PLFAs含量、土壤PLFAs总量及细菌/真菌PLFAs的比值,而放线菌PLFAs含量变化无规律。连作7 a时,成熟期的细菌PLFAs含量、土壤PLFAs总量较对照分别减少62.9%、50.3%(P0.05),而真菌PLFAs含量较对照升高60.2%(P0.05)。从多样性指数分析看,Shannon-Wiener指数、Simpson指数、Brillouin指数和Pielou指数均随连作年限的延长呈先升后降的变化,其中连作3 a时各项指数最大,连作7 a时最小,表明在本试验年限范围内,连作使得微生物群落多样性与均匀程度皆出现了一定程度的降低。相关性分析表明,土壤微生物各类群PLFAs量、微生物量及土壤肥力之间存在相关性,说明土壤微生物量与土壤肥沃程度相关,可作为评价土壤肥力的生物学指标。可见,加工番茄连作改变了土壤微生物群落结构,降低了土壤微生物量,最终在根际土壤微生态系统和环境因子等因素的综合作用下产生连作障碍。  相似文献   

3.
长期氮肥施用对农田黑土NLFA与PLFA特性的影响   总被引:3,自引:0,他引:3  
以不施肥与休闲处理为对照,通过对土壤微生物磷脂脂肪酸(PLFA)、中性磷脂脂肪酸(NLFA)、NLFA/PLFA比值及各菌群特定PLFA比值的测定,研究不同氮肥处理条件下东北黑土微生物群落变化规律.PLFA测定结果表明,氮磷配施能促进土壤微生物生长;氮磷钾配施未表现出促进土壤微生物生长的作用;单施氮肥处理因有效磷等养分过度消耗而抑制真菌生长.不同菌群之间PLFA比值表明,真菌较细菌更能适应养分贫瘠条件,而氮肥与磷肥的施入则能促进细菌生物量增加.不同氮肥处理NLFA含量及个别NLFA/PLFA比值存在较大差异,可用来说明土壤微生物生理状态和土壤养分水平.  相似文献   

4.
为探讨覆盖作物不同利用方式对猕猴桃园土壤微生物群落结构的影响,通过磷脂脂肪酸(PLFA)方法,研究覆盖作物处理对猕猴桃园土壤微生物群落结构的影响。试验设置3个处理,分别为种植覆盖作物+覆盖作物刈割后留在土壤表面自然腐解(T1)、种植覆盖作物+覆盖作物刈割后从园中清除(T2)和清耕对照(CK)。结果表明,T1、T2处理土壤微生物PLFAs总量和微生物量碳、氮均显著高于CK(P0.05);土壤pH和碳氮比是影响猕猴桃园土壤微生物群落的主要环境因子,pH与土壤微生物PLFAs总量呈极显著正相关(P0.01),与细菌PLFAs量、革兰氏阴性菌PLFAs量呈显著正相关(P0.05),碳氮比与革兰氏阳性菌PLFAs量/革兰氏阴性菌PLFAs量呈极显著正相关(P0.01)。研究表明,猕猴桃园种植覆盖作物改变了土壤环境因子,影响土壤微生物群落结构组成。研究可为丹江口水源涵养区果园生态管理模式的探索提供理论依据。  相似文献   

5.
绿肥与化肥配施对植烟土壤微生物群落的影响   总被引:3,自引:2,他引:1  
佀国涵  王瑞  袁家富  谭军  熊又升  徐大兵  赵书军 《土壤》2013,45(6):1070-1075
土壤微生物群落被认为是土壤生态系统变化的预警及敏感指标,指示着土壤质量的变化。本研究利用 3 年定位试验,通过测定磷脂脂肪酸(PLFAs)的含量,分析了连年绿肥和化肥配施对植烟土壤微生物群落结构的影响。研究结果表明:施肥明显地提高了土壤中 PLFAs 的种类和总量;在绿肥和化肥配施处理中,当翻压 15 000 kg/hm2 绿肥的基础上施用大于 85% 常规化肥时,明显提高了土壤中细菌、AM 真菌及微生物总的 PLFAs 含量;而当化肥的施用量减至常规施肥 70% 时,对土壤细菌、真菌及微生物总 PLFAs 含量的积累产生不利影响。从不同处理的主成分分析和聚类分析的结果可知,不同绿肥和化肥配施比例对土壤微生物群落结构变化有明显影响。经相关性分析表明,PLFA 分析方法和氯仿熏蒸法之间具有很好的一致性,且土壤速效钾和速效磷含量与革兰氏阴性菌的 PLFAs 含量呈显著相关,而与土壤真菌PLFAs 含量则无明显的相关性。  相似文献   

6.
不同作物根际土壤微生物的群落结构特征分析   总被引:1,自引:0,他引:1  
唐杰  陈知青  郭安南  裘琼芬 《核农学报》2021,35(12):2830-2840
为探究根际微生物群在支持植物生长、发育和健康方面的重要作用,本研究在2017年7月采集同一农田中大豆[Glycine max (L.) Merr.]、玉米[Zea mays)、花生(Arachis hypogaea L.]、四季豆[Phaseolus vulgaris L.]、豇豆[Vigna unguiculata (L.) Walp]、番薯[Ipomoea batatas (L.) Lam.]和芋艿[Colocasia esculenta (L.) Schoot]7种不同作物,通过Illumina MiSeq测序技术和磷脂脂肪酸(PLFA)对这7种不同作物的根际微生物群落结构和组成进行了分析。结果显示,不同作物根际土壤微生物的PLFA种类和组成差异显著,但均以表征革兰氏阴性菌、革兰氏阳性菌和真菌的特征脂肪酸为主。花生根际土中微生物的PLFAs含量最高,花生根际土中的真菌细菌比(F/B)显著高于其他作物,且其革兰氏阳性菌与革兰氏阴性菌比(G+/G-)最低。尽管在门水平,变形菌门、放线菌门、酸杆菌门和厚壁菌门是7种作物根际微生物的主要优势门,但是在纲水平和目水平不同作物根际微生物组成存在差异。Alpha多样性分析表明,大豆根际的OTU丰富度(Chao1,P<0.001)和细菌群落多样性(Shannon,P<0.001)在7种作物中最高。非度量多维尺度分析(NMDS)表明,根际微生物群落结构在OTU和PLFAs水平下均以不同作物形成聚类,不同聚类间的差异显著。根际敏感微生物的筛选和比较进一步说明不同作物对根际微生物的选择具有差异性,群落中某些特定菌群优势度存在区别,不同作物具有不同敏感微生物的选择倾向。本研究为构建健康的植物根际微生物群落以促进植物育种提供了基础。  相似文献   

7.
磷脂脂肪酸法分析地黄根际土壤微生物多样性   总被引:10,自引:0,他引:10  
应用磷脂脂肪酸法(PLFA)分析了1年生、2年生和5年轮作地黄根际土壤微生物群落多样性.研究发现,地黄连作障碍在2年生和5年轮作田均发生,表现为病虫害严重,根系生长不良,根际土壤微生物基础呼吸、代谢商高于对照等,说明地黄根际生态系统的代谢能力降低,可能影响到能量循环过程.应用主成分分析法从33个PLFAs中提取出3个主成分,代表72.55%的变异信息,其中PCI解释了48.91%的变异,PC2解释了14.16%的变异,PC3解释了9.48%的变异,而且从主成分得分图上可以很明显区分根际和非根际土壤.另外还发现地黄根际真菌标志磷脂C18:2ω6,9显著高于非根际的对照土壤,这可能和根际病害发生有关.  相似文献   

8.
甘薯连作对根际土壤微生物群落结构的影响   总被引:1,自引:0,他引:1  
为探究甘薯连作后根际土壤微生物群落结构变化,以徐薯18(耐连作品种)和遗字138(不耐连作品种)为试验材料,连作2年,于栽植初期和收获前期分别采集根际土壤,利用磷脂脂肪酸法(PLFA)分析其根际土壤微生物群落结构变化。结果表明,连作后,2个品种根际土壤的总PLFA含量均有所提高,与2015年相比,2016年栽植初期遗字138根际土壤真菌和放线菌PLFA的增加量分别是徐薯18的3.5倍和1.24倍,且均达到显著水平;F/B和G+/G-在不同采样时期有所不同;主成分分析提取的2个主成分解释了89.05%的变异,其中PC1解释了76.91%的变异,PC2解释了12.14%的变异。2个品种连作前后差异明显。休闲期甘薯根际土壤微生物含量增多,这可能有助于缓解连作障碍。综上,甘薯连作导致甘薯根际土壤微生物群落结构失衡,特别是不耐连作品种连作后导致真菌数量明显增加。本研究结果为应用生态防控技术缓解连作障碍提供了理论依据。  相似文献   

9.
刘艳青  尧水红  王庆海  李辉信 《土壤》2010,42(4):669-673
用新鲜土样和冻干土两种不同样品处理方法提取磷脂脂肪酸(PLFAs),分析河滨缓冲带3种水生植物下土壤的微生物群落结构。结果表明:用冻干土测定的河滨缓冲带土壤微生物群落结构分布与用新鲜土样测定结果密切相关(r=0.972,p0.0001),但3种水生植物下,用冻干土测得的PLFAs总量、种类及回收率都比新鲜土样大,且从变异系数来看,冻干土测得的PLFAs总量的变异系数小于新鲜土样,其数据精确度较高。因此,利用PLFAs法分析河滨缓冲带土壤微生物群落结构时采用冻干土测定更为适合。  相似文献   

10.
为探究中亚热带杉木土壤微生物群落随林龄变化特征,以中亚热带7,24,34 a生杉木人工林为研究对象,采用磷脂脂肪酸(PLFA)法分析其根际和非根际土壤微生物数量和群落结构及驱动土壤微生物变化的主要土壤环境因子。结果表明:随着杉木林龄的增长,非根际土壤各类微生物数量不断减少,根际土壤微生物数量不断增加,34 a生杉木人工林细菌含量、革兰氏阴性菌含量、Cy:MONO根际土壤显著高于非根际土壤,而其他各类微生物在根际和非根际土壤间均没有显著差异。相关分析和冗余分析结果表明:土壤环境因子对杉木土壤微生物群落有显著影响,其中有效磷和铵态氮含量对土壤微生物群落的影响较大,有效磷含量与土壤微生物群落呈正相关,土壤铵态氮含量与其呈负相关。因此,在杉木人工林管理过程中,可适当增加磷的输入,以增加土壤微生物数量,提高土壤质量,促进杉木的生长。  相似文献   

11.
Water and nitrogen (N) are considered the most important factors affecting rice production and play vital roles in regulating soil microbial biomass, activity, and community. The effects of irrigation patterns and N fertilizer levels on the soil microbial community structure and yield of paddy rice were investigated in a pot experiment. The experiment was designed with four N levels of 0 (N0), 126 (N1), 157.5 (N2), and 210 kg N ha-1 (N3) under two irrigation patterns of continuous water-logging irrigation (WLI) and water-controlled irrigation (WCI). Phospholipid fatty acid (PLFA) analysis was conducted to track the dynamics of soil microbial communities at tillering, grain-filling, and maturity stages. The results showed that the maximums of grain yield, above-ground biomass, and total N uptake were all obtained in the N2 treatment under WCI. Similar variations in total PLFAs, as well as bacterial and fungal PLFAs, were found, with an increase from the tillering to the grain-filling stage and a decrease at the maturity stage except for actinomycetic PLFAs, which decreased continuously from the tillering to the maturity stage. A shift in composition of the microbial community at different stages of the plant growth was indicated by principal component analysis (PCA), in which the samples at the vegetative stage (tillering stage) were separated from those at the reproductive stage (grain-filling and maturity stages). Soil microbial biomass, measured as total PLFAs, was significantly higher under WCI than that under WLI mainly at the grain-filling stage, whereas the fungal PLFAs detected under WCI were significantly higher than those under WLI at the tillering, grain-filling, and maturity stages. The application of N fertilizer also significantly increased soil microbial biomass and the main microbial groups both under WLI and WCI conditions. The proper combination of irrigation management and N fertilizer level in this study was the N2 (157.5 kg N ha-1) treatment under the water-controlled irrigation pattern.  相似文献   

12.
磷脂脂肪酸分析方法及其在土壤微生物多样性研究中的应用   总被引:28,自引:1,他引:28  
颜慧  蔡祖聪  钟文辉 《土壤学报》2006,43(5):851-859
磷脂脂肪酸(PLFA)是活体微生物细胞膜的重要组分,不同类群的微生物可通过不同的生化途径合成不同的PLFA。一些PLFA可作为分析微生物量和微生物群落结构变化的“生物标记”。在土壤微生物分析中,越来越多地采用了PLFA方法。本文介绍了表征微生物的一些PLFA、从土壤中提取PLFA的方法以及用GC-MS分析PLFA的原理。本文还将常用的研究微生物多样性的几种方法进行了比较;传统的分析土壤微生物群落的方法依赖于培养技术,只能培养和分离出一小部分微生物群落;Biolog方法可用于研究土壤微生物群落生理多样性,即可反映微生物群落如何利用各种碳源底物,但对快速生长和适合在Biolog实验条件下生长的小部分群落成员有强烈的选择性;核酸分析方法的主要缺点是不能对土壤微生物进行定量分析;而PLFA方法相对于上述几种方法有诸多优势。本文通过一些实例证明PLFA方法的特色或独到之处,也分析了其缺点。采用PLFA方法并结合其他方法有助于获取土壤微生物群落多样性的更多和更全面而完整的信息。  相似文献   

13.
To identify the microbial communities responsible for the decomposition of rice straw compost in soil during the rice cultivation period, phospholipid fatty acid (PLFA) composition of rice straw compost was determined by periodically sampling the compost from a Japanese rice field under flooded conditions. About 21% of the compost was decomposed within a period of 3 months. The total amount of PLFAs, as an indicator of microbial biomass, was significantly lower under drained conditions than under flooded conditions and was relatively constant during the flooding period. This indicates that the microbial biomass in the compost samples did not increase during the gradual decomposition of rice straw compost under flooded conditions. The proportion of branched-chain PLFAs (biomarker of Grampositive and anaerobic Gram-negative bacteria) slightly decreased during the early period after placement, and increased gradually afterwards. Among the branched-chain PLFAs, i15:0, ail5:0, i16:0 and i17:0 PLFAs predominated and their proportions increased gradually except for i16:0. The proportion of straight mono-unsaturated PLFAs (biomarker of Gramnegative bacteria) was almost constant throughout the period, and 18:1ω9 and 18:1ω7 PLFAs predominated. The proportion of straight poly-unsaturated PLFAs as a biomarker of eukaryotes including fungi was also constant throughout the period, except for a decrease under drained conditions. Straight poly-unsaturated PLFAs consisted mainly of 18:2ω6c PLFA. Therefore, these results suggest that the proportions of Gram-positive and anaerobic Gram-negative bacteria increased during the decomposition of rice straw compost in flooded paddy field. Statistical analyses enabled to divide PLFA patterns of microbiota in the rice straw compost into two groups, one group consisting of rice straw compost samples collected before mid-season drainage and the other of samples collected after mid-season drainage. Small squared distances among samples in cluster analysis indicated that the community structure of microbiota was similar to each other as a whole. These results suggest that the microbial communities changed gradually during the period of placement, and that mid-season drainage may have affected the community structure of microbiota. Principal component analysis of the PLFA composition suggested that the succession of microbiota along with the decomposition in flooded soil was similar between rice straw compost and rice straw and that the changes in the community structure during the decomposition in flooded soil were more conspicuous for rice straw than for rice straw compost.  相似文献   

14.
不同肥力水平和利用历史的红壤磷脂脂肪酸图谱   总被引:4,自引:0,他引:4  
Analysis of phospholipid fatty acids(PLFAs) was used to estimate the microbial community structures of eight Chinese red soils with different fertility levels and land use histories.The total amounts of PLFAs in the soils were significantly correltaed with soil organic carbon, total nitrogen,microbial biomass C and basal respiration,indicating that total PLFA was closely related to fertility and sustainbility in these highly weathered soils.Soils of the eroded wastelan were rich in Gram-positive species .When the eroded soils were planted with citrus trees,the soil microbial population had changed little in 4 years but took up to 8-12 yearss before it reached a significantly different population,Multivariate analysis of PLFAs demonstrated that land use history and plant cover type had a significant impact on microbial community structure.Howver,the difference of soil microbial community structure in the paddy field compared to other land uses was not larger than expected in this experiment.  相似文献   

15.
同时采用PLFA(Phospholipid fatty acid)谱图分析法和DGGE(Denaturing gradient gel electrophoresis)法分析农业废物堆肥化过程中细菌群落的变化。结果表明:(1)单体PLFA数据显示样品之间的群落结构有明显差异,随着堆肥进程的进行,群落在不断演替,PLFA数据可以较为明确地表征微生物生物量的变化,但不能给出具体的物种变化信息;(2)DGGE分析显示堆肥过程中的样点和DGGE条带数据都存在3大主要类别,堆肥过程中细菌群落结构至少经历了3个阶段的演替,即嗜温细菌群落、高温细菌群落和腐熟期细菌群落。堆肥过程是微生物群落结构与堆肥温度相互制约的过程;(3)虽然两类方法显示的信息并不完全一致,但也因此说明了不同方法显示的信息并不是绝对的,采用各类方法组合研究堆肥微生物的信息变化是很有必要的。  相似文献   

16.
《Applied soil ecology》2006,31(1-2):73-82
A study was undertaken to determine if cattle grazing on managed grasslands had an impact on the microbial community composition of soils. Microbial community molecular profiles of bacteria, actinomycetes, pseudomonads and fungi were generated by polymerase chain reaction (PCR) amplification of rDNA sequences from community DNA isolated from soils. PCR products were profiled using denaturing gradient gel electrophoresis (DGGE) and analysed by principal co-ordinate analysis. PCR–DGGE profiles indicated that cattle grazing had an impact on the pseudomonad community structure only, and that the addition of inorganic nitrogen (N) fertiliser impacted on bacterial, actinomycete and pseudomonad community structure. There was no difference in the community profiles of fungi from grazed and N fertilised grassland plots. Analysis of phospholipid fatty acid (PLFA) profiles revealed that both cattle grazing and N fertiliser impacted on microbial community structure. The abundance of individual PLFAs differed between treatments, with bacterial (15:0), actinomycete (10Me18:0) and fungal (18:2ω6) PLFAs not affected directly by grazing cattle and N fertiliser, however, there were significant grazing–fertiliser interactions. Bacterial plate counts were highest in the N fertilised plots and fungal plate counts were highest in the cattle grazed plots. Analysis of molecular microbial community profiles with PLFA and background soil data revealed several significant correlations. Notably, soil pH was positively correlated with PCO1 of the pseudomonad community profiles and negatively correlated with the fungal PLFA 18:2ω6. Fungal DGGE profiles were negatively correlated with the fungal PLFA 18:2ω6, and bacterial and fungal plate counts positively correlated with each other. Correlation analysis using PC1 from PLFA profile data showed no significant relationship with soil organic matter, pH, total C and total N. The results indicate that cattle grazing and N fertiliser addition to grasslands impact on the community composition of specific groups of micro-organisms. The consequences of such changes in population structure may have implications regarding the dynamics of nutrient turnover in soils.  相似文献   

17.
We have compared the total microbial biomass and the fungal/bacterial ratio estimated using substrate-induced respiration (SIR) in combination with the selective inhibition technique and using the phospholipid fatty acid (PLFA) technique in a pH gradient (3.0-7.2) consisting of 53 mature broad-leaved forest soils. A fungal/bacterial biomass index using the PLFA technique was calculated using the PLFA 18:2ω6,9 as an indicator of fungal biomass and the sum of 13 bacterial specific PLFAs as indicator of the bacterial biomass. Good linear correlation (p<0.001) was found between the total microbial biomass estimated with SIR and total PLFAs (totPLFA), indicating that 1 mg biomass-C was equivalent to 130 nmol totPLFA. Both biomass estimates were positively correlated to soil pH. The fungal/bacterial ratio measured using the selective inhibition technique decreased significantly with increasing pH from about 9 at pH 3 to approximately 2 at pH 7, while the fungal/bacterial biomass index using PLFA measurements tended to increase slightly with increasing soil pH. Good correlation between the soil content of ergosterol and of the PLFA 18:2ω6,9 indicated that the lack of congruency between the two methods in estimating fungal/bacterial ratios was not due to PLFA 18:2ω6,9-related non-fungal structures to any significant degree. Several PLFAs were strongly correlated to soil pH (R2 values >0.8); for example the PLFAs 16:1ω5 and 16:1ω7c increased with increasing soil pH, while i16:0 and cy19:0 decreased. A principal component analysis of the total PLFA pattern gave a first component that was strongly correlated to soil pH (R2=0.85, p<0.001) indicating that the microbial community composition in these beech/beech-oak forest soils was to a large extent determined by soil pH.  相似文献   

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