Comparative Analysis of Bacterial Diversity in Freshwater Sediment of a Shallow Eutrophic Lake by Molecular and Improved Cultivation-Based Techniques

Comparative analysis of bacterial diversity in freshwater sediment collected from a shallow eutrophic lake was performed by using 16S rRNA gene clone library and improved cultivation-based techniques. Our study demonstrated that the use of gellan gum as a gelling reagent instead of agar was more effective at increasing culturability, cultivating a diverse array of novel microbes, and reducing the gaps of the results between molecular and cultivation-based analyses.     

Assessment of the Bacterial Diversity in Fenvalerate-Treated Soil

The impact of the pesticide fenvalerate on the diversity of the bacterial community in soil was investigated in this study. After treatment with 0.1, 0.5 or 1.0 mg fenvalerate g^–1 soil in three soils and incubation for a 40-day period, the changes in diversity were monitored by two different methods. The cultivable heterotrophic diversity was investigated by colony morphology on solid LB medium. Genetic diversity was measured as bands on denaturing gradient gel electrophoresis (DGGE) gels by total genomic DNA extraction and purification, PCR-amplification of bacterial 16S rDNA fragments. The Shannon–Wiener index of diversity (H), richness (S) and evenness (E _H) were used to measure changes in the bacterial community in the soils. The results of the cultivable heterotrophic diversity and genetic diversity showed that there was an obvious decrease in diversity due to the application of fenvalerate to the soils, and the different amounts added had different impacts on the diversity. Bands appearing to be either enhanced or inhibited as a result of the fenvalerate treatments were excized and sequenced. Sequencing of excized DGGE bands indicated that application of fenvalerate had an obvious impact on several Pseudomonas spp., or Xanthomonas campestrisor Streptomyces avermitilis. This revealed that microbial community changes can occur due to the application of fenvalerate to soil.     

Different Decaying Wood Effects on Bacterial Diversity: Insights from Molecular Methods

Decaying wood is a novel key factor required for biodiversity and function of a forest, as it provides a good account of substrate and habitats for various organisms. Herein, the bacterial diversity in decaying wood of Betula platyphylla was discussed through high throughput sequencing. Our results showed that most of the obtained sequences belonged to the phyla Firmicutes, Proteobacteria, Bacteroidetes, Actinobacteria, Acidobacteria and Verrucomicrobia. Bacterial community compositions in samples with higher moisture content were obviously different than that with lower content, which could be reflected by richness estimators, diversity indices, and cluster and heatmap analysis. All three networks were non-random and possessed topological features of complex systems such as small-world and modularity features. However, these networks exhibited distinct topological features, indicating the potential ability of extensive cooperative and competitive interactions in the decayed wood microenvironments. Redundant analysis showed that most bacterial phyla were mainly distributed in higher-moisture trunks. The obtained data will increase the knowledge of the complex bacterial diversity associated with dead wood, and lay a foundation for the bioconversion technology of plant cell walls using bacteria.     

Molecular Techniques in the Assessment of Botanical Diversity

A variety of different molecular techniques can be used forthe study of botanical diversity. Restriction fragment lengthpolymorphism (RFLP), arbitrary primed DNA, amplified fragmentlength polymorphism (AFLP), variable number of tandem repeats(VNTR), sequence-tagged simple sequence repeats (SSRs) and polymerasechain reaction (PCR) sequencing are briefly reviewed here. Thesetechniques differ in the way that they resolve genetic differences,in the type of data that they generate and in the taxonomiclevels at which they may be most appropriately applied. It isimperative to understand the different ways in which the datafrom the different molecular techniques can be utilized beforeembarking upon a programme of applying them to any particulardiversity study. Biodiversity; RFLP; RAPD; AFLP; VNTR; SSR; molecular data; fingerprinting; genetic distances; phylogeny; conservation     

Crop Yields and Nematode Population Densities in Triticale-Cotton and Triticale-Soybean Rotations

Triticale cv. Beagle 82, cotton cv. McNair 235, and soybean cv. Twiggs were arranged in three cropping sequences to determine the effects of fenamiphos and cropping sequence on nematode population densities and crop yields under conservation tillage for 4 years. The cropping sequences were triticale (T)-cotton (C)-T-C, T-soybean (S)-T-S, and T-C-T-S. Numbers of Meloidogyne incognita second-stage juveniles declined on trificale but increased on cotton and soybean each year. Root-gall indices of cotton and soybean ranged from 1.00 to 1.08 (1 to 5 scale: 1 = 0%, 2 = 1% to 25%, 3 = 26% to 50%, 4 = 51% to 75%, and 5 = 76% to 100% of roots galled) each year and were not affected by fenamiphos treatment or cropping sequence. Numbers of Pratylenchus brachyurus were maintained on trificale and generally increased more on soybean than on cotton. Population densities of Helicotylenchus dihystera were near or below detection levels in all plots during the first year and increased thereafter in untreated plots in the T-C-T-C and T-S-T-S sequences. Generally, yields of triticale in all cropping sequences declined over the years. Yields of cotton and soybean were not affected by fenamiphos at 6.7 kg a.i./ha. Cotton and soybean were grown successfully with little or no suppression in yields caused by nematodes in conservation tillage following triticale harvested for grain.     

Diversity and Seasonal Fluctuations of the Dominant Members of the Bacterial Soil Community in a Wheat Field as Determined by Cultivation and Molecular Methods

There is a paucity of knowledge on microbial community diversity and naturally occurring seasonal variations in agricultural soil. For this purpose the soil microbial community of a wheat field on an experimental farm in The Netherlands was studied by using both cultivation-based and molecule-based methods. Samples were taken in the different seasons over a 1-year period. Fatty acid-based typing of bacterial isolates obtained via plating revealed a diverse community of mainly gram-positive bacteria, and only a few isolates appeared to belong to the Proteobacteria and green sulfur bacteria. Some genera, such as Micrococcus, Arthrobacter, and Corynebacterium were detected throughout the year, while Bacillus was found only in July. Isolate diversity was lowest in July, and the most abundant species, Arthrobacter oxydans, and members of the genus Pseudomonas were found in reduced numbers in July. Analysis by molecular techniques showed that diversity of cloned 16S ribosomal DNA (rDNA) sequences was greater than the diversity among cultured isolates. Moreover, based on analysis of 16S rDNA sequences, there was a more even distribution among five main divisions, Acidobacterium, Proteobacteria, Nitrospira, cyanobacteria, and green sulfur bacteria. No clones were found belonging to the gram-positive bacteria, which dominated the cultured isolates. Seasonal fluctuations were assessed by denaturing gradient gel electrophoresis. Statistical analysis of the banding patterns revealed significant differences between samples taken in different seasons. Cluster analysis of the patterns revealed that the bacterial community in July clearly differed from those in the other months. Although the molecule- and cultivation-based methods allowed the detection of different parts of the bacterial community, results from both methods indicated that the community present in July showed the largest difference from the communities of the other months. Efforts were made to use the sequence data for providing insight into more general ecological relationships. Based on the distribution of 16S rDNA sequences among the bacterial divisions found in this work and in literature, it is suggested that the ratio between the number of Proteobacteria and Acidobacterium organisms might be indicative of the trophic level of the soil.     

甘肃不同矿区样品中的细菌多样性

甘肃矿产资源丰富,矿区酸性矿坑水(acid mine drainage,AMD)及周边土壤中嗜酸微生物种类丰富,具有相当大的研究价值.本研究通过Illumina高通量测序方法,对甘肃省4个矿区AMD及周边土壤中的细菌群落组成、相似性及功能组成进行分析.结果 表明,煤矿样品GNM细菌物种组成最为丰富,金矿样品LNJ1与紫金矿样品LNZJK细菌组成最相似,与属于铜矿的BYT物种较相近,与LNJ1同地区的LNJ2样品细菌组成相比较远.所有样品细菌主要分为放线菌门(Actinobacteria)、拟杆菌门(Bacteriodetes)、厚壁菌门(Firmicutes)和变形菌门(Proteobacteria)四大门,其中变形菌门(Proteobacteria)丰度最高.放线菌门(Actinobacteria)中不动杆菌属(Acinetobacter)、类诺卡氏属(Nocardioides)和芽球菌属(Blastococcus)表现出较高丰度;厚壁菌门(Firmicutes)中微小杆菌属(Exiguobacterium)和芽孢杆菌属(Bacillus)表现出较高丰度,且微小杆菌属(Exiguobacterium)丰度极高.通过功能预测发现,与煤矿样品GNM相比,LNJ1、LNJ2、BYT和LNZJK4个金属矿区样品中的微生物具有较强的氨基酸与碳源的转运与代谢、转录等功能以及较低的能量生产与转运、无机离子转运与代谢能力.通过探究AMD中的细菌多样性及其与重金属之间的相互关系,了解AMD采样区微生物群落结构,以期挖掘出更为丰富的具有重金属抗性的菌株资源,以应用于生物浸矿和环境修复等领域.     

Bacterial Diversity in Three Different Antarctic Cold Desert Mineral Soils

A bacterial phylogenetic survey of three environmentally distinct Antarctic Dry Valley soil biotopes showed a high proportion of so-called “uncultured” phylotypes, with a relatively low diversity of identifiable phylotypes. Cyanobacterial phylotypic signals were restricted to the high-altitude sample, whereas many of the identifiable phylotypes, such as the members of the Actinobacteria, were found at all sample sites. Although the presence of Cyanobacteria and Actinobacteria is consistent with previous culture-dependent studies of microbial diversity in Antarctic Dry Valley mineral soils, many phylotypes identified by 16S rDNA analysis were of groups that have not hitherto been cultured from Antarctic soils. The general belief that such “extreme” environments harbor a relatively low species diversity was supported by the calculation of diversity indices. The detection of a substantial number of uncultured bacterial phylotypes showing low BLAST identities (<95%) suggests that Antarctic Dry Valley mineral soils harbor a pool of novel psychrotrophic taxa.     

不同年期发酵床垫料细菌群落多样性及功能

探究不同年期发酵程度对发酵床垫料细菌群落多样性及功能的影响，探究其中的有益微生物，开发适合陕北地区的发酵床专用菌剂。以铺设1、2、3和4年的发酵床垫料为研究对象，新铺设的发酵床垫料作为对照（CK），采用MiSeq 高通量测序技术分别测定不同年期发酵床垫料细菌群落16S rRNA 基因 V3~V4 区序列并进行生物信息学分析。不同年期发酵床垫料获得V3~V4区924 008条有效序列，聚成686种操作分类单元 (operational taxonomic unit，OTU)，分属于15个门，30个纲，55个目，65个科和224个属，其中厚壁菌门（Firmicutes）和变形菌门（Proteobacteria）为发酵床垫料的主要优势菌门，其占比为40.88%~98.40%，其次为拟杆菌门（Bacteroidetes）和放线菌门（Actinobacteria），其占比分别为3.55%~17.54%和1.29%~3.00%。Shannon指数和Simpson指数分别在3.599~4.737和0.787~0.891之间，不同年期发酵床垫料细菌群落的丰度和多样性指数均高于对照，且随着发酵年限的增加，多样性与生长年期呈正相关，致病细菌埃希氏菌属(Escherichia) 及肠杆菌属 (Enterobacte) 丰度和多样性指数下降趋势明显。优势细菌属数目、组成及其丰度随发酵年限的不同而有所差异。短波单胞菌属 (Brevundimonas) 和芽胞杆菌属 (Bacillus)的总丰度最高，分别在 0.06%~43.63%和0.74%~49.35%之间，且优势细菌属中存在具有有益功能性状的微生物类群。群落功能预测分析初步显示不同年期的发酵床垫料细菌群落功能有所差异，其中年限为4年的发酵床垫料微生物群落的功能信息最为丰富，主要涉及到转运蛋白及磷酸转移酶系统功能，其他年期主要体现在ABC转运蛋白、细菌分泌系统、细菌毒素类及调控系统等功能方面。不同年期发酵床垫料细菌群落组成和功能存在较大差异，且发酵年限影响了发酵床垫料细菌群落多样性、群落结构及功能，随着发酵年限的增加，有益菌属丰度增加，致病菌属丰度下降。     

Bacterial Diversity Dynamics Associated with Different Diets and Different Primer Pairs in the Rumen of Kankrej Cattle

The ruminal microbiome in herbivores plays a dominant role in the digestion of lignocellulose and has potential to improve animal productivity. Kankrej cattle, a popular native breed of the Indian subcontinent, were used to investigate the effect of different dietary treatments on the bacterial diversity in ruminal fractions using different primer pairs. Two groups of four cows were assigned to two primary diets of either dry or green forages. Each group was fed one of three dietary treatments for six weeks each. Dietary treatments were; K1 (50% dry/green roughage: 50% concentrate), K2 (75% dry/green roughage: 25% concentrate) and K3 (100% dry/green roughage). Rumen samples were collected using stomach tube at the end of each dietary period and separated into solid and liquid fractions. The DNA was extracted and amplified for V1–V3, V4–V5 and V6–V8 hypervariable regions using P1, P2 and P3 primer pairs, sequenced on a 454 Roche platform and analyzed using QIIME. Community compositions and the abundance of most bacterial lineages were driven by interactions between primer pair, dietary treatment and fraction. The most abundant bacterial phyla identified were Bacteroidetes and Firmicutes however, the abundance of these phyla varied between different primer pairs; in each primer pair the abundance was dependent on the dietary treatment and fraction. The abundance of Bacteroidetes in cattle receiving K1 treatment indicate their diverse functional capabilities in the digestion of both carbohydrate and protein while the predominance of Firmicutes in the K2 and K3 treatments signifies their metabolic role in fibre digestion. It is apparent that both liquid and solid fractions had distinct bacterial community patterns (P<0.001) congruent to changes in the dietary treatments. It can be concluded that the P1 primer pair flanking the V1–V3 hyper-variable region provided greater species richness and diversity of bacterial populations in the rumen of Kankrej cattle.     

Molecular and Functional Assessment of Bacterial Community Convergence in Metal-Amended Soils

Species diversity and the structure of microbial communities in soils are thought to be a function of the cumulative selective pressures within the local environment. Shifts in microbial community structure, as a result of metal stress, may have lasting negative effects on soil ecosystem dynamics if critical microbial community functions are compromised. Three soils in the vicinity of a copper smelter, previously contaminated with background, low and high levels of aerially deposited metals, were amended with metal-salts to determine the potential for metal contamination to shape the structural and functional diversity of microbial communities in soils. We hypothesized that the microbial communities native to the three soils would initially be unique to each site, but would converge on a microbial community with similar structure and function, as a result of metal stress. Initially, the three different sites supported microbial communities with unique structural and functional diversity, and the nonimpacted site supported inherently higher levels of microbial activity and biomass, relative to the metal-contaminated sites. Amendment of the soils with metal-salts resulted in a decrease in microbial activity and biomass, as well as shifts in microbial community structure and function at each site. Soil microbial communities from each site were also observed to be sensitive to changes in soil pH as a result of metal-salt amendment; however, the magnitude of these pH-associated effects varied between soils. Microbial communities from each site did not converge on a structurally or functionally similar community following metal-salt amendment, indicating that other factors may be equally important in shaping microbial communities in soils. Among these factors, soil physiochemical parameters like organic matter and soil pH, which can both influence the bioavailability and toxicity of metals in soils, may be critical.     

Evaluation of Bacterial Diversity in Soil Microcosms at Different Moisture Contents

The succession analysis of bacterial diversity in the A horizons (rich in organic matter) of three contrasting types of soil—burozem, soddy gley soil, and chernozem—showed that the bacterial diversity of soil microcosms in humid regions can be adequately evaluated only if soil samples are incubated at different soil moisture contents. A complete account of actinobacteria and proteobacteria requires the levels of soil moisture corresponding to the maximum capillary–sorption moisture and capillary moisture, respectively. The bacterial diversity, whose value was maximum on the 40th day of succession, was higher in soddy gley soil than in burozem. The taxonomic structures of the bacterial communities of these two types of soil were different. After wetting chernozem samples from arid regions, the soil bacterial community changed insignificantly with time and drastically differed from that of soils from humid regions. The difference in the bacterial diversity of soils was the most distinct when it was evaluated by measuring the proportion between proteobacteria and actinobacteria.     

不同耕作方式稻田土壤细菌的多样性

对水稻-油菜双序列复种免耕(NT)、翻耕(CT)稻田土壤细菌多样性进行研究。采用平板计数法计数可培养细菌及放线菌数量,Miseq测序分析物种多样性及群落结构。结果表明,分别把3个样点的NT、CT耕作方式土样细菌、放线菌菌落总数之和作为NT、CT可培养细菌数量进行比较,NT可培养菌落总数比CT高10%;土壤未培养样品中共获得224 563条有效序列,其中NT 114 433条、CT 110 220条;指数分析表明CT相对丰度略低于NT、群落多样性略低于NT;样本中的细菌种类覆盖35个门、269个科、373个属。尽管从不同分类水平上,CT、NT样本物种相对丰度没有显著性差异,但NT中细菌门最大的变形菌门和有待深入研究的酸杆菌门物种的序列多于CT,厌氧绳菌科、未分类的硝化螺旋菌科和亚硝化单胞菌科序列多于CT,另外,未知和未培养的科、属水平上物种多于CT,根据物种特性,认为它们可能对固氮、降解纤维素等改变土壤理化特性,维持免耕土壤肥力起着重要的作用。     

Bacterial Indicator of Agricultural Management for Soil under No-Till Crop Production

The rise in the world demand for food poses a challenge to our ability to sustain soil fertility and sustainability. The increasing use of no-till agriculture, adopted in many areas of the world as an alternative to conventional farming, may contribute to reduce the erosion of soils and the increase in the soil carbon pool. However, the advantages of no-till agriculture are jeopardized when its use is linked to the expansion of crop monoculture. The aim of this study was to survey bacterial communities to find indicators of soil quality related to contrasting agriculture management in soils under no-till farming. Four sites in production agriculture, with different soil properties, situated across a west-east transect in the most productive region in the Argentinean pampas, were taken as the basis for replication. Working definitions of Good no-till Agricultural Practices (GAP) and Poor no-till Agricultural Practices (PAP) were adopted for two distinct scenarios in terms of crop rotation, fertilization, agrochemicals use and pest control. Non-cultivated soils nearby the agricultural sites were taken as additional control treatments. Tag-encoded pyrosequencing was used to deeply sample the 16S rRNA gene from bacteria residing in soils corresponding to the three treatments at the four locations. Although bacterial communities as a whole appeared to be structured chiefly by a marked biogeographic provincialism, the distribution of a few taxa was shaped as well by environmental conditions related to agricultural management practices. A statistically supported approach was used to define candidates for management-indicator organisms, subsequently validated using quantitative PCR. We suggest that the ratio between the normalized abundance of a selected group of bacteria within the GP1 group of the phylum Acidobacteria and the genus Rubellimicrobium of the Alphaproteobacteria may serve as a potential management-indicator to discriminate between sustainable vs. non-sustainable agricultural practices in the Pampa region.     

Molecular Genetic Diversity and Variation for Aggressiveness in Populations of Fusarium graminearum and Fusarium culmorum Sampled from Wheat Fields in Different Countries

Fusarium graminearum and Fusarium culmorum are the major pathogenic organisms causing head blight in small-grain cereals. Natural epidemics may result in severe yield losses, reduction in quality, and contamination of the grain by mycotoxins. The genetic diversity of four field populations of F. graminearum from Germany, Hungary, and Canada, and one population of F. culmorum from Russia was investigated by polymerase chain reaction (PCR)-based fingerprinting. Additionally, a world-wide collection and two of the F. graminearum populations were analysed for their aggressiveness on young plants of winter rye in the greenhouse. The number of isolates analysed per population varied from 25 to 70. Significant quantitative variation for aggressiveness was observed within each of the individual field populations amounting to the same range as the world-wide collection. Abundant variation within populations was also revealed by DNA markers. The F. graminearum populations from Hungary and Winnipeg displayed the least genotypic diversity, the two German F. graminearum populations and the Russian F. culmorum population were highly diverse. Population diversity, however, followed no spatial pattern among samples within a German field for aggressiveness or molecular markers. For F. graminearum , sexual recombination is the most likely explanation for the large genetic diversity within field populations. Asexual and/or parasexual recombination, and balancing selection caused by the periodic alternation between the saprophytic and parasitic phase might play an additional role and account for the variation within the F. culmorum population. For improving Fusarium resistance, several resistance genes of different sources should be combined to avoid an unspecific adaptation of the genetically variable pathogen to an increased resistance level.     

藻华爆发期太湖不同区域沉积物细菌多样性

本研究以藻华爆发期的太湖不同区域沉积物为对象, 测定氮、磷和生物量碳等理化性质, 并通过末端限制性酶切片断长度多态性分析(T-RFLP)的分子生态学手段, 鉴定不同富营养化湖区7个标准采样位点沉积物中细菌群落结构差异。结果表明, 总氮、总磷含量以6#、16#样品最高, 且各形态氮和各形态磷的趋势也与总氮、总磷趋势基本一致; 生物量碳为6#和16#明显高于其他位点, 其余各位点相近。T-RFLP结果显示, 各位点细菌多样性间存在差异, 其中16#样品的多样性指数最低, 6#、7#和1#较高; 在种群组成上各个位点无论是组分还是比例均有显著差异。另外, 所取7个沉积物样品中与氮、磷循环相关的α、β和γ-变形菌纲含量非常丰富, 且与硫、铁循环相关的δ-变形菌纲含量也很丰富。     

不同施肥处理对玉米-小麦轮作土壤微生物群落功能多样性的影响

土壤微生物多样性能反应土壤的肥力,不同的施肥措施对土壤微生物的种群和功能多样性也会产生重要的影响。以山东德州连续两年小麦季和玉米季收获后土壤为研究对象,利用Biolog技术研究了6种不同施肥处理对土壤微生物群落功能多样性的影响。结果表明:其中各个施肥处理的平均颜色变化率(average well color development,AWCD)差异显著,常规氮磷钾肥+全量秸秆还田+秸秆腐熟剂(FS)处理代谢活性最高;物种丰富度指数(H)和均匀度指数(E)也表明各施肥方式均能够维持微生物种群的多样性,其中FS和30%猪粪+70%常规氮磷钾肥(OF)处理物种丰富度指数(H)和均匀度指数(E)最高;PCA及RDA分析显示,OF和FS处理微生物功能多样性相似,且其微生物功能多样性与有机质(Soil organic matter,SOM)、全氮(Total N,TN)、速效磷(Available P,AP)和速效钾(Available K,AK)密切相关。猪粪堆肥有机无机复合肥3 600 kg/hm2(OI2)处理与猪粪堆肥有机无机复合肥1 800 kg/hm2(OI1)处理相似,其功能多样性比常规施肥(CF)处理稍高。综上所述,OF处理和FS处理的土壤微生物群落功能多样性程度高于其他处理,说明秸秆还田+秸秆腐熟剂和有机肥部分替代氮磷钾肥能够显著提高土壤微生物功能多样性,有利于保护土壤微生态。     

Generalized Linear Dynamics of a Plant-Parasitic Nematode Population and the Economic Evaluation of Crop Rotations

In 1-year experiments, the final population density of nematodes is usually modeled as a function of initial density. Often, estimation of the parameters is precarious because nematode measurements, although laborious and expensive, are imprecise and the range in initial densities may be small. The estimation procedure can be improved by using orthogonal regression with a parameter for initial density on each experimental unit. In multi-year experiments parameters of a dynamic model can be estimated with optimization techniques like simulated annealing or Bayesian methods such as Markov chain Monte Carlo (MCMC). With these algorithms information from different experiments can be combined. In multi-year dynamic models, the stability of the steady states is an important issue. With chaotic dynamics, prediction of densities and associated economic loss will be possible only on a short timescale. In this study, a generic model was developed that describes population dynamics in crop rotations. Mathematical analysis showed stable steady states do exist for this dynamic model. Using the Metropolis algorithm, the model was fitted to data from a multi-year experiment on Pratylenchus penetrans dynamics with treatments that varied between years. For three crops, parameters for a yield loss assessment model were available and gross margin of the six possible rotations comprising these three crops and a fallow year were compared at the steady state of nematode density. Sensitivity of mean gross margin to changes in the parameter estimates was investigated. We discuss the general applicability of the dynamic rotation model and the opportunities arising from combination of the model with Bayesian calibration techniques for more efficient utilization and collection of data relevant for economic evaluation of crop rotations.     

Diversity of Bacterial Communities in a Profile of a Winter Wheat Field: Known and Unknown Members

In soils, bacteria are very abundant and diverse. They are involved in various agro-ecosystem processes such as the nitrogen cycle, organic matter degradation, and soil formation. Yet, little is known about the distribution and composition of bacterial communities through the soil profile, particularly in agricultural soils, as most studies have focused only on topsoils or forest and grassland soils. In the present work, we have used bar-coded pyrosequencing analysis of the V3 region of the 16S rRNA gene to analyze bacterial diversity in a profile (depths 10, 25, and 45 cm) of a well-characterized field of winter wheat. Taxonomic assignment was carried out with the Ribosomal Database Project (RDP) Classifier program with three bootstrap scores: a main run at 0.80, a confirmation run at 0.99, and a run at 0 to gain information on the unknown bacteria. Our results show that biomass and bacterial quantity and diversity decreased greatly with depth. Depth also had an impact, in terms of relative sequence abundance, on 81 % of the most represented taxonomic ranks, notably the ranks Proteobacteria, Bacteroidetes, Actinobacteridae, and Acidobacteria. Bacterial community composition differed more strongly between the topsoil (10 and 25 cm) and subsoil (45 cm) than between levels in the topsoil, mainly because of shifts in the carbon, nitrogen, and potassium contents. The subsoil also contained more unknown bacteria, 53.96 % on the average, than did the topsoil, with 42.06 % at 10 cm and 45.59 % at 25 cm. Most of these unknown bacteria seem to belong to Deltaproteobacteria, Actinobacteria, Rhizobiales, and Acidobacteria.