套作对黄瓜根际土壤细菌群落结构的多样性影响

以设施蔬菜中的主要栽培种类黄瓜为研究对象,以毛葱、蒜为套作作物,利用T-RFLP(末端限制性片段长度多态性,Terminal Restriction Fragment Length Polymorphism)技术对套作黄瓜根际土壤细菌群落结构多样性进行了研究。结果表明:套作改变了黄瓜根际土壤细菌群落结构的多样性和优势菌群结构。套种毛葱的黄瓜根际土壤细菌群落结构多样性高于套种蒜的黄瓜根际土壤细菌群落结构多样性;在黄瓜定植前和拉秧期,套作处理的土壤细菌群落结构多样性有比对照高的趋势,而在根瓜期和盛瓜期套作处理的土壤细菌群落结构多样性有比对照低的趋势;毛葱的套作效果最佳,蒜套作次之。套作提高了黄瓜产量。     

槟榔林下间作平托花生土壤细菌群落结构及多样性研究

为探索槟榔林下间作平托花生能否改善槟榔园土壤微生物环境,试验选取槟榔林下间作平托花生和槟榔单作模式下10～20 cm土层的土壤样本,测定pH及酸性有效磷、全磷、速效钾、有机碳、全氮、碱解氮、全钾含量等理化因子,在此基础上,利用Illumina MiSeq测序平台对槟榔间作平托花生和槟榔单作模式下土壤的细菌群落进行16S...     

酸处理对花岗岩土壤细菌群落结构及多样性的影响

酸沉降显著影响着土壤生态系统的结构组成与系统功能,但对我国南方花岗岩发育的酸性土壤细菌群落结构及多样性的影响还知之甚少。因此,本文以酸沉降影响严重的亚热带地区花岗岩发育的剖面(0~100 cm)土壤为对象,采用不同酸度的HCl-NH_4Cl溶液(pH=3.5,4.5,5.5)对A层(0~12 cm)、B层(12~50 cm)与C层(50~100 cm)土壤分别进行分批次淋溶实验(Batch方法),探讨在此特定实验条件下酸溶液作用前后土壤细菌群落结构及多样性的变异特征。研究结果表明,利用Miseq技术对土壤细菌16S r RNA基因进行高通量测序与分析发现酸溶液可以显著降低A层、B层和C层土壤的细菌多样性,pH3.5酸处理土壤的细菌多样性降低幅度最大,pH4.5酸处理土壤的降低幅度最小。HCl-NH_4Cl酸溶液可显著影响花岗岩土壤细菌的群落结构,并导致土壤细菌的优势种群发生变化,其中,A层土壤细菌优势种群由酸杆菌门(Acidobacteria)转变为变形菌门(Proteobacteria),B层和C层土壤细菌优势种群由变形菌门(Proteobacteria)转变为放线菌门(Actinobacteria)。细菌相对丰度变化特征和主成分分析结果表明,pH3.5、pH4.5和pH5.5三种酸处理之间没有明显差异,但不同层次土壤细菌群落结构对同一pH酸溶液的响应不一致,这是由A、B、C层土壤理化性质的差异性,从而对酸处理的响应不同所致。因此,HCl-NH_4Cl酸溶液对土壤细菌群落结构、优势种群和多样性产生的显著影响与土壤的性质密切相关,并反作用于土壤发生、演变及生态系统演替。     

荔枝园间作平托花生对土壤理化性质、酶活性和细菌群落结构及多样性的影响

研究荔枝间作平托花生对荔枝园土壤理化性质、酶活性及细菌多样性的影响,为荔枝健康栽培提供理论依据和技术支撑。分别选取荔枝/平托花生间作和荔枝单作模式下10～20 cm土层的土壤样本,测定酸性有效磷、全磷和速效钾等理化因子的含量以及蔗糖酶、蛋白酶和脲酶等酶活性,并在此基础上,利用Illumina MiSeq测序平台对荔枝/平托花生间作模式和荔枝单作模式下土壤的细菌群落进行16S rRNA V4～V5区检测。结果表明:与荔枝单作模式相比,在理化因子方面,荔枝间作平托花生模式下的速效钾含量极显著提高138.9%,碱解氮含量显著降低19.6%,pH稍降低但无显著差异性;在土壤酶活性方面,蔗糖酶、酸性蛋白酶、脲酶、过氧化氢酶和多酚氧化酶均极显著或显著提高;在土壤细菌群落多样性方面,Chao1、ACE和Simpson指数分别显著提高5.5%、5.2%和3.7%。在土壤细菌群落结构方面,两组样本的主要优势菌门为酸杆菌门、变形菌门、绿弯菌门和放线菌门;主要优势菌属为Gp1、Gp2、Gp3、Gp4、Gp6、芽孢杆菌属和Gaiella等菌属;间作后变形菌门、放线菌门、红游动菌属、Gaiella和黄杆菌属相对丰度明显提高,酸杆菌门、芽孢杆菌属和Gp2相对丰度显著降低。冗余分析结果表明,碱解氮、pH、全磷和有效磷是影响土壤细菌菌属结构的主要理化因子;单作模式的土壤细菌群落结构差异主要是由pH的变化引起的,而间作模式细菌群落结构主要受碱解氮的影响;此外,在酸杆菌门亚群中,Gp1、Gp2、Gp3及Gp7与pH呈正相关;Gp4、Gp5、Gp6与pH呈负相关;芽孢杆菌属与碱解氮呈正相关;Gaiella、红游动菌属和黄杆菌属等绝大多数菌属均与理化因子呈负相关。因此,荔枝园间作平托花生不仅能改善土壤理化性质以及酶活性,还能提高土壤细菌丰富度和多样性,促进荔枝根系对营养元素的有效吸收,为农民有效利用荔枝园行间空地、实现荔枝健康栽培探索出一条新的路径。     

毛竹竹鞭内生细菌的特征及16S rDNA多样性分析

本研究利用传统的细菌分离方法,结合16S rDNA序列分析对毛竹竹鞭内生细菌的特征和多样性进行了分析。从福建省武夷山、将乐、长汀毛竹竹鞭中分离到34株内生细菌,初步归属于14属,20种。来源于不同地区的毛竹竹鞭内生细菌组成存在较大差异,其优势菌群为产碱杆菌属（Alcaligenes）和葡萄球菌属（Staphylococcus）。     

西藏高原土壤中可培养细菌群落结构分析

以4个西藏高海拔(4 056～5 015 m)高原土壤为材料,经室内恒温短期碳源富集培养后,建立4个土壤可培养细菌库.采用细菌16S rDNA的序列分析技术测定供试土壤可培养细菌库的群落结构特征.结果表明,从XZ02、XZ06、XZ08和XZ12共4个土样的细菌库中,分别获得21,37,31,32个细菌的16S rDNA序列,共产生45个OTU类型.不同样品产生的OTU类型个数和种类有差异,不同样品之间存在共有的优势OTU,但比例不同.多样性指数分析表明,XZ08的Shannon-Wiener指数(H’)和物种丰富度指数(dMa)均为最大,XZ02的辛普森指数(Simpson index,Ds)和物种均匀度指数(E)均为最大,表明不同土壤可培养细菌的多样性指数大小不同;PCA分析表明,XZ06和XZ12群落结构相近,XZ02和XZ08与其群落结构差异大.典型OTU进化定位分析表明,4个土样的细菌主要分布在厚壁菌门和变形菌门中,XZ02和XZ12以芽孢杆菌为主,而XZ02和XZ12以芽孢杆菌和假单胞菌为主.不同采样点土壤的可培养细菌群落结构多样性和分布上均有差异.     

稻虾共作模式对稻田土壤细菌群落结构与多样性的影响

通过研究稻虾共作模式下0 ~ 60 cm土层土壤细菌群落结构与多样性,明确该模式下稻田土壤细菌的群落特征,旨在为研究稻虾共作模式下稻田土壤养分循环提供理论依据。依托湖北省潜江市白鹭湖农场15年定位试验,采集0 ~ 10 cm、10 ~ 20 cm、20 ~ 30 cm、30 ~ 40 cm、40 ~ 50 cm和50 ~ 60 cm土层土样,采用高通量测序技术分析土壤细菌群落结构和多样性,并研究土壤细菌群落特征与土壤理化性状的关系。与中稻单作模式相比,长期稻虾共作模式显著提高了0 ~ 10 cm和20 ~ 40 cm土层有机碳（TOC）含量、0 ~ 30 cm土层全氮（TN）含量、0 ~ 20 cm和30 ~ 40 cm土层全磷（TP）含量以及10 ~ 40 cm土层有效钾（AK）含量。长期稻虾共作模式后土壤细菌的群落组成发生了改变,显著提高了土壤中绿弯菌门、拟杆菌门、硝化螺旋菌门和芽单胞菌门的相对丰度,降低了蓝细菌门、放线菌门和疣微菌门的相对丰度;同时,稻虾共作模式显著提高了10 ~ 20 cm和30 ~ 50 cm土层细菌的物种丰富度和多样性,但降低了0 ~ 10 cm土层细菌的丰富度。相关性分析表明,TOC、TN、AP和AK是影响稻虾共作模式土壤中细菌群落结构及多样性的主要因素。长期稻虾共作模式改变了稻田土壤理化性状,改变了土壤细菌的群落组成,提高了深层土壤的细菌物种丰富度和多样性。     

亚热带四种主要植被类型土壤细菌群落结构分析

应用PCR-DGGE方法分别对天目山和玲珑山的四种典型森林土壤细菌群落结构进行了研究分析。结果表明,阔叶林、杉木林、马尾松林和毛竹林在天目山土壤中的DGGE条带数分别为49、45、51和51条,在玲珑山土壤中的DGGE条带数分别为42、4i多是奥前啊2、44和48条。不同森林植被土壤DGGE带谱差异不明显,天目山和玲珑山4种森林土壤分别有31条和23条共性条带,分别占总数的61%和48%以上,然而每种林分也有各自的特征条带。相对而言,两个样地杉木林与其他三种林分的土壤细菌群落结构相似度较低,相似值分别为0.72和0.68,其土壤细菌多样性指数也明显低于其他3种林分,而毛竹林和马尾松林多样性指数则没有显著差异。同时分析两个采样区的土壤细菌DGGE发现,土壤性质对细菌群落结构的影响大于植被。     

设施种植模式对土壤细菌多样性及群落结构的影响

为了研究有机和常规设施种植模式及轮作对土壤细菌多样性和群落结构的影响,本研究采用Illumina平台Hiseq 2500高通量测序技术,于2016年6月(作物处于收获期)对北京市顺义区不同设施种植模式(分别为有机设施种植模式和常规设施种植模式下的叶菜连作、茄果连作和叶茄轮作)下土壤细菌进行16S r RNA测序。测序质控后共获得17 278个操作分类单元(operational taxonomic units,OTUs),共计318 851条有效序列。比较不同种植模式和轮作下土壤细菌多样性、细菌群落结构组成、相对丰度及土壤理化性质与细菌群落多样性关系的差异性。结果表明:土壤微生物群落结构在有机和常规设施种植模式下差异明显,有机设施种植土壤细菌多样性高于常规设施种植;有机设施种植下轮作与连作土壤细菌群落结构表现出明显差异,而常规设施种植下,两者没有明显差异;有机种植模式下,轮作土壤细菌群落多样性高于连作土壤;设施种植土壤细菌群落主要属于鞘氨醇单胞菌属(Sphingomonas,5.05%)和芽孢杆菌属(Bacillus,4.84%),相对丰度大于0.5%的共有14个属。有机设施种植土壤含有较多促进植物生长、有机质分解的细菌,常规设施种植土壤中降解化学杀虫剂、防治土壤病害、促进硝化过程的细菌较多。RDA分析结果显示土壤细菌群落主要受全磷、速效磷、有机质的影响。Tumebacillus、Candidatus Solibacter和Acidothermus都是分解有机质、利用碳源的细菌属,与土壤有机质含量呈正相关关系。由此可见,设施条件下,有机和常规种植土壤微生物群落结构的差异性主要源于肥料使用、有害生物防治措施和管理方式的不同。有机设施种植模式下,轮作更有利于发挥其改良土壤营养循环和防治土壤病虫害的作用。上述结果为在微生物水平上研究设施条件下不同种植模式的土壤生态质量差异提供了参考。     

山药根际土壤微生物16S rRNA多样性及影响因素

通过采集山药连作2年的植株根际土壤及根茎,采用高通量测序技术研究根际土壤细菌多样性,分析7个样本中菌群的组成、丰度、α多样性、β多样性、菌群差异性。采用典型相关分析(Canonical Correlation Analysis,CCA)分析优势菌群与土壤化学因子、根茎糖类物质的关系,探讨根际土壤中细菌群落与土壤化学指标、根茎糖类物质的相关性。结果表明:山药根际土壤细菌优势群落为变形菌、绿弯菌、酸杆菌、放线菌;土壤pH是影响细菌群落结构及分布的重要因子;酸杆菌和硝化螺旋菌与土壤中蔗糖酶、脲酶活性及总有机碳、碱解氮呈正相关,奇古菌和绿弯菌与土壤总有机碳、碱解氮呈正相关,土壤中碳、氮养分又与山药根茎中可溶性糖、粗多糖及淀粉呈正相关关系,说明这些微生态环境因子可能对山药根茎糖类物质积累有促进作用。     

黑土区大豆基因型的根际细菌群落结构时空动态变化

The dynamics of rhizosphere microbial communities is important for plant health and productivity, and can be influenced by soil type, plant species or genotype, and plant growth stage. A pot experiment was carried out to examine the dynamics of microbial communities in the rhizosphere of two soybean genotypes grown in a black soil in Northeast China with a long history of soybean cultivation. The two soybean genotypes, Beifeng 11 and Hai 9731, differing in productivity were grown in a mixture of black soil and siliceous sand. The bacterial communities were compared at three zone locations including rhizoplane, rhizosphere, and bulk soil at the third node (V3), early flowering (R1), and early pod (R3) stages using polymerase chain reaction-denaturing gradient gel electrophoresis (PCR-DGGE) of 16S rDNA. The results of principal component analyses (PCA) showed that the bacterial community structure changed with growth stage. Spatially, the bacterial communities in the rhizoplane and rhizosphere were significantly different from those in the bulk soil. Nevertheless, the bacterial communities in the rhizoplane were distinct from those in the rhizosphere at the V3 stage, while no obvious differences were found at the R1 and R3 stages. For the two genotypes, the bacterial community structure was similar at the V3 stage, but differed at the R1 and R3 stages. In other words, some bacterial populations became dominant and some others recessive at the two later stages, which contributed to the variation of the bacterial community between the two genotypes. These results suggest that soybean plants can modify the rhizosphere bacterial communities in the black soil, and there existed genotype-specific bacterial populations in the rhizosphere, which may be related to soybean productivity.     

毒死蜱对棉花根际土细菌群落多样性和结构的影响

通过室内盆栽试验模拟自然环境条件,采用高效液相色谱(HPLC)和末端限制性片段长度多态性(T-RFLP)技术,研究了土壤使用推荐剂量(5 mg·kg~(-1))及推荐剂量的2倍、3倍和4倍(10 mg·kg~(-1)、15 mg·kg~(-1)、20 mg·kg~(-1))毒死蜱对棉花根际土壤细菌群落多样性和结构的影响,以不施用毒死蜱的土壤为对照。结果表明,5 mg·kg~(-1)、10 mg·kg~(-1)、15 mg·kg~(-1)和20 mg·kg~(-1)毒死蜱在土壤中的半衰期分别为10.04 d、11.36 d、11.55 d和12.16 d,60 d时基本完全降解。毒死蜱处理60 d后,棉花生物量显著降低;毒死蜱浓度越高,棉花生物量越低。无毒死蜱条件下不同取样时间根际细菌多样性无显著差异,毒死蜱处理组前30 d细菌多样性均显著降低,60 d时毒死蜱处理组细菌多样性恢复到正常水平。研究发现毒死蜱浓度越高对细菌多样性抑制作用越显著,恢复越缓慢。主成分分析结果发现,第10 d、30 d和60 d毒死蜱处理组与对照组细菌群落结构差异显著,其中60 d时20 mg·kg~(-1)毒死蜱处理组差异最显著,即使土壤中毒死蜱完全降解,根际细菌群落结构仍不会恢复到正常水平。60 d时,被毒死蜱抑制的细菌有硝化刺菌属(Nitrospina sp.)和Cellulophaga sp.等,被激活的有芽孢杆菌属(Bacillus sp.)和链霉菌属(Streptomyces sp.)等。可见,毒死蜱的引入,重新构建了土壤细菌群落结构,显著影响棉花生长,对棉花根际土壤微生态环境冲击较大,应对其生态安全性予以重视。     

Leaf litter is the main driver for changes in bacterial community structures in the rhizosphere of ash and beech

The rhizosphere and the surrounding soil harbor an enormous microbial diversity and a specific community structure, generated by the interaction between plant roots and soil bacteria. The aim of this study was to address the influences of tree species, tree species diversity and leaf litter on soil bacterial diversity and community composition. Therefore, mesocosm experiments using beech, ash, lime, maple and hornbeam were established in 2006, and sampled in October 2008 and June 2009. Mesocosms were planted with one, three or five different tree species and treated with or without litter overlay.Cluster analysis of DGGE-derived patterns revealed a clustering of 2008 sampled litter treatments in two separated clusters. The corresponding treatments sampled in 2009 showed separation in one cluster. PCA analysis based on the relative abundance of active proteobacterial classes and other phyla in beech and ash single-tree species mesocosm indicated an effect of sampling time and leaf litter on active bacterial community composition. The abundance of next-generation sequencing-derived sequences assigned to the Betaproteobacteria was higher in the litter treatments, indicating a higher activity, under these conditions. The Deltaproteobacteria, Nitrospira and Gemmatimonadetes showed an opposite trend and were more active in the mesocosms without litter. The abundance of alphaproteobacterial sequences was higher in mesocosms sampled in 2009 (P = 0.014), whereas the Acidobacteria were more active in 2008 (P = 0.014). At the family level, we found significant differences of the litter vs. non-litter treated group. Additionally, an impact of beech and ash as tree species on soil bacterial diversity was confirmed by the Shannon and Simpson indices. Our results suggest that leaf litter decomposition in pH-stable soils affect the soil bacterial composition, while tree species influence the soil bacterial diversity.     

16S rRNA基因高通量测序分析牛粪发酵细菌多样性

将养殖粪便进行资源化处理,尤其是将粪便堆肥发酵后变为生物肥料还田,具有重要的经济、社会和生态效益。之前关于细菌在堆肥过程中的研究,大部分采用实验室培养、分离、鉴定的方法,由于受培养方式的限制,仅能分析粪肥中有限的细菌类别。16S r RNA基因作为生物物种的特征核酸序列,被认为是最适于细菌系统发育和分类鉴定研究的指标。本研究使用16S r RNA基因高通量测序技术,分析了牛粪自然发酵与添加益生菌剂发酵过程中细菌种群的多样性变化。结果表明,1)新鲜牛粪、自然发酵1个月、自然发酵6个月的牛粪中细菌种群并没有明显的变化规律,说明自然发酵过程主要依赖于新鲜牛粪中携带的细菌种群;2)添加益生菌发酵后,细菌种群明显不同于不自然发酵过程中的细菌种群,其中变形菌门(Proteobacteria)细菌显著增加,而厚壁菌门(Firmicutes)细菌显著减少,说明益生菌剂能够显著改变堆肥过程中的细菌种群。本研究对于理解牛粪堆肥过程、提高堆肥效果,以及新型堆肥益生菌剂的开发都具有重要意义。     

沙田柚黄龙病病原16S rDNA片段的克隆与序列分析

采集田间表现斑驳症状的沙田柚叶脉,用CTAB法提取总DNA。根据柑橘黄龙病病原16S rDNA的核苷酸序列设计引物P1/P2,进行PCR扩增,获得1条大小为1 167 bp的片段。酶切分析显示,该片段可被切成大小分别约为640 bp和520 bp的2个片段。扩增产物经纯化,与pM D 18-T V ector连接,转化大肠杆菌(E scherich ia coli)DH 5α,筛选克隆重组子。对PCR产物进行测序及序列分析,结果表明,与柑橘黄龙病病原亚洲种16S rDNA的同源性为99%,与非洲种的同源性为97%,与美洲种的同源性为96%。认为,沙田柚的斑驳症状是由黄龙病病原引致的,称之为沙田柚黄龙病。该沙田柚黄龙病病原属于柑橘黄龙病病原亚洲种(L iberobacter as iaticus)中的一个成员。系统进化树分析显示,沙田柚黄龙病病原与中国柑橘黄龙病病原亲缘关系最近,推测是直接来自中国柑橘黄龙病病原。     

Long-term fertilization regimes affect bacterial community structure and diversity of an agricultural soil in northern China

Background, Aims, and Scope  Knowledge about shifts of microbial community structure and diversity following different agricultural management practices could improve our understanding of soil processes and thus help us to develop sound management strategies. A long-term fertilization experiment was established in 1989 at Fengqiu (35°00′N, 114°24′E) in northern China. The soil (sandy loam) is classified as aquic inceptisols and has received continuous fertilization treatments since then. The fertilization treatments included control (CK, no fertilizer), chemical fertilizers nitrogen (N) and potassium (K) (NK), phosphorous (P) and K (PK), NP, NPK, organic manure (OM), and half chemical fertilizers NPK plus half organic manure (1/2NPKOM). The objective of this study was to examine if the microbial community structure and diversity were affected by the long-term fertilization regimes. Materials and Methods  Soil samples were collected from the long-term experimental plots with seven treatments and four replications in April 2006. Microbial DNAs were extracted from the soil samples and the 16S rRNA genes were PCR amplified. The PCR products were analyzed by DGGE, cloning and sequencing. The bacterial community structures and diversity were assessed using the DGGE profiles and the clone libraries constructed from the excised DGGE bands. Results  The bacterial community structure of the OM and PK treatments were significantly different from those of all other treatments. The bacterial community structures of the four Ncontaining treatments (NK, NP, NPK and 1/2NPKOM), as well as CK, were more similar to each other. The changes in bacterial community structures of the OM and PK treatments showed higher richness and diversity. Phylogenetic analyses indicated that Proteobacteria (30.5%) was the dominant taxonomic group of the soil, followed by Acidobacteria (15.3%), Gemmatimonadetes (12.7%), etc. Discussion  Irrespective of the two fertilization treatments of OM and PK, the cluster analysis showed that bacterial communities of the remaining five treatments of CK, NK, NP, NPK and 1/2NPKOM seemed to be more similar to each other, which indicated the relatively weak effects of the four N-containing treatments on soil bacterial communities. N fertilizer may be considered as a key factor to counteract the effects of other fertilizers on microbial communities. Conclusions  Our results show that long-term fertilization regimes can affect bacterial community structure and diversity of the agricultural soil. The OM and PK treatments showed a trend towards distinct community structures, higher richness and diversity when compared to the other treatments. Contrasting to the positive effects of OM and PK treatments on the bacterial communities, N fertilizer could be considered as a key factor in the soil to counteract the effects of other fertilizers on soil microbial communities. Recommendations and Perspectives  Because of the extremely high abundance and diversity of microorganisms in soil and the high heterogeneity of the soil, it is necessary to further examine the effects of fertilization regimes on microbial community and diversity in different type soils for comprehensively understanding their effects through the appropriate combination of molecular approaches. ESS-Submission Editor: Chengrong Chen, PhD (c.chen@griffith.edu.au)     

Vineyard soil bacterial diversity and composition revealed by 16S rRNA genes: Differentiation by geographic features

Here, we examine soil-borne microbial biogeography as a function of the features that define an American Viticultural Area (AVA), a geographically delimited American wine grape-growing region, defined for its distinguishing features of climate, geology, soils, physical features (topography and water), and elevation. In doing so, we lay a foundation upon which to link the terroir of wine back to the soil-borne microbial communities. The objective of this study is to elucidate the hierarchy of drivers of soil bacterial community structure in wine grape vineyards in Napa Valley, California. We measured differences in the soil bacterial and archaeal community composition and diversity by sequencing the fourth variable region of the small subunit ribosomal RNA gene (16S V4 rDNA). Soil bacterial communities were structured with respect to soil properties and AVA, demonstrating the complexity of soil microbial biogeography at the landscape scale and within the single land-use type. Location and edaphic variables that distinguish AVAs were the strongest explanatory factors for soil microbial community structure. Notably, the relationship with TC and TN of the <53 μm and 53–250 μm soil fractions offers support for the role of bacterial community structure rather than individual taxa on fine soil organic matter content. We reason that AVA, climate, and topography each affect soil microbial communities through their suite of impacts on soil properties. The identification of distinctive soil microbial communities associated with a given AVA lends support to the idea that soil microbial communities form a key in linking wine terroir back to the biotic components of the soil environment, suggesting that the relationship between soil microbial communities and wine terroir should be examined further.     

Application of DGGE analysis to the study of bacterial community structure in plant roots and in nonrhizosphere soil

To analyze the structure of bacterial communities in spinach roots and in the nonrhizosphere soil, we used PeR-amplified 16S rRNA gene fragments separated by denaturing gradient gel electrophoresis (DGGE). DGGE revealed a large number of band patterns, which were ascribed to various bacterial species composing each of the bacterial communities. The pattern from the roots was less complex than that from the soil. It is considered that DGGE analysis is suitable for studies of bacterial community structure in soil-plant ecosystems.