变性梯度凝胶电泳(DGGE)在微生物生态学中的应用

由于从环境样品中分离和培养细菌的困难,分子生物学方法已发展用来描述和鉴定微生物群落。近年来基于DNA方法的群落分析得到了迅速的发展,如PCR扩增技术,克隆文库法,荧光原位杂交法,限制性酶切片段长度多态性法,变性和温度梯度凝胶电泳法。DGGE已广泛用于分析自然环境中细菌、蓝细菌,古菌、微微型真核生物、真核生物和病毒群落的生物多样性。这一技术能够提供群落中优势种类信息和同时分析多个样品。具有可重复和容易操作等特点,适合于调查种群的时空变化,并且可通过对切下的带进行序列分析或与特异性探针杂交分析鉴定群落成员。DGGE分析微生物群落的一般步骤如下：一是核酸的提取,二是16S rRNA,18S rRNA或功能基因如可容性甲烷加单氧酶羟化酶基因(mmoX)和氨加单氧酶a一亚单位基因(amoA)片段的扩增,三是通过DGGE分析PCR产物。DGGE使用具有化学变性剂梯度的聚丙烯酰胺凝胶,该凝胶能够有区别的解链PCR扩增产物。由PCR产生的不同的DNA片段长度相同但核苷酸序列不同。因此不同的双链DNA片段由于沿着化学梯度的不同解链行为将在凝胶的不同位置上停止迁移。DNA解链行为的不同导致一个凝胶带图案,该图案是微生物群落中主要种类的一个轮廓。DGGE使用所有生物中保守的基因片段如细菌中的16S rRNA基因片段和真菌中的18S rRNA基因片段。然而同其他分子生物学方法一样,DGGE也有缺陷,其中之一是只能分离较小的片段,使用于系统发育分析比较和探针设计的序列信息量受到了限制。在某些情况下,由于所用基因的多拷贝导致一个种类多于一条带,因此不易鉴定群落结构到种的水平。此外,该技术具有内在的如单一细菌种类16S rDNA拷贝之间的异质性问题,可导致自然群落中微生物数量的过多估计。DGGE是分析微生物群落的一种有力的工具。不过为了减少DGGE和其它技术的缺陷,建议研究者结合DGGE和其它分子及微生物学方法以便更详细的观察微生物的群落结构和功能。     

Denaturing Gradient Gel Electrophoresis Can Rapidly Display the Bacterial Diversity Contained in 16S rDNA Clone Libraries

Two different strategies for molecular analysis of bacterial diversity, 16S rDNA cloning and denaturing gradient gel electrophoresis (DGGE), were combined into a single protocol that took advantage of the best attributes of each: the ability of cloning to package DNA sequence information and the ability of DGGE to display a community profile. In this combined protocol, polymerase chain reaction products from environmental DNA were cloned, and then DGGE was used to screen the clone libraries. Both individual clones and pools of randomly selected clones were analyzed by DGGE, and these migration patterns were compared to the conventional DGGE profile produced directly from environmental DNA. For two simple bacterial communities (biofilm from a humics-fed laboratory reactor and planktonic bacteria filtered from an urban freshwater pond), pools of 35–50 clones produced DGGE profiles that contained most of the bands visible in the conventional DGGE profiles, indicating that the clone pools were adequate for identifying the dominant genotypes. However, DGGE profiles of two different pools of 50 clones from a lawn soil clone library were distinctly different from each other and from the conventional DGGE profile, indicating that this small number of clones poorly represented the bacterial diversity in soil. Individual clones with the same apparent DGGE mobility as prominent bands in the humics reactor community profiles were sequenced from the clone plasmid DNA rather than from bands excised from the gel. Because a longer fragment was cloned (∼1500 bp) than was actually analyzed in DGGE (∼350 bp), far more sequence information was available using this approach that could have been recovered from an excised gel band. This clone/DGGE protocol permitted rapid analysis of the microbial diversity in the two moderately complex systems, but was limited in its ability to represent the diversity in the soil microbial community. Nonetheless, clone/DGGE is a promising strategy for fractionating diverse microbial communities into manageable subsets consisting of small pools of clones.     

PCR-DGGE技术在农田土壤微生物多样性研究中的应用

变性梯度凝胶电泳技术(DGGE)在微生物生态学领域有着广泛的应用。研究采用化学裂解法直接提取出不同农田土壤微生物基因组DNA,并以此基因组DNA为模板,选择特异性引物F357GC和R515对16S rRNA基因的V3区进行扩增,长约230bp的PCR产物经变性梯度凝胶电泳(DGGE)进行分离后,得到不同数目且分离效果较好的电泳条带。结果说明,DGGE能够对土壤样品中的不同微生物的16S rRNA基因的V3区的DNA扩增片断进行分离,为这些DNA片断的定性和鉴定提供了条件。与传统的平板培养方法相比,变性梯度凝胶电泳(DGGE)技术能够更精确的反映出土壤微生物多样性,它是一种有效的微生物多样性研究技术。     

DGGE and T-RFLP Analysis of Bacterial Succession during Mushroom Compost Production and Sequence-aided T-RFLP Profile of Mature Compost

The amount of button mushroom (Agaricus bisporus) harvested from compost is largely affected by the microbial processes taking place during composting and the microbes inhabiting the mature compost. In this study, the microbial changes during the stages of this specific composting process were monitored, and the dominant bacteria of the mature compost were identified to reveal the microbiological background of the favorable properties of the heat-treated phase II mushroom compost. 16S ribosomal deoxyribonucleic acid (rDNA)-based denaturing gradient gel electrophoresis (DGGE) and terminal restriction fragment length polymorphism (T-RFLP) molecular fingerprinting methods were used to track the succession of microbial communities in summer and winter composting cycles. DNA from individual DGGE bands were reamplified and subjected to sequence analysis. Principal component analysis of fingerprints of the composting processes showed intensive changes in bacterial community during the 22-day procedure. Peak temperature samples grouped together and were dominated by Thermus thermophilus. Mature compost patterns were almost identical by both methods (DGGE, T-RFLP). To get an in-depth analysis of the mature compost bacterial community, the sequence data from cultivation of the bacteria and cloning of environmental 16S rDNA were uniquely coupled with the output of the environmental T-RFLP fingerprints (sequence-aided T-RFLP). This method revealed the dominance of a supposedly cellulose-degrading consortium composed of phylotypes related to Pseudoxanthomonas, Thermobifida, and Thermomonospora.     

Construction of a stable microbial community with high cellulose-degradation ability

We bred a microbial community capable of degrading rice straw with high efficiency. The microbial community degraded more than 60% of rice straw within 4 days at 50 °C. The high stability of the community's degradation ability was demonstrated by its tolerance of being subcultured several times in medium with/without cellulosic material, being heated to 95 °C, and freezing at –80 °C. The community degraded both nonsterilized and sterilized substrate; and its degradation ability was not affected by pH changes in the medium (initial pH 5–9). PCR-denaturing gradient gel electrophoresis (DGGE) analyses based on 16S rDNA fragments showed that the community structure remained constant after multiple subcultures extending over 2 years. DNA sequence analyses of DGGE bands indicated the coexistence of both aerobic and anaerobic bacteria in the community. Electronic Publication     

Different influences of DNA purity indices and quantity on PCR-based DGGE and functional gene microarray in soil microbial community study

Based on the comparative study of the DNA extracts from two soil samples obtained by three commercial DNA extraction kits, we evaluated the influence of the DNA quantity and purity indices (the absorbance ratios A260/280 and A260/230, as well as the absorbance value A320 indicating the amount of humic substances) on polymerase chain reaction (PCR)-based denaturing gradient gel electrophoresis (DGGE) and a functional gene microarray used in the study of microbial communities. Numbers and intensities of the DGGE bands are more affected by the A260/280 and A320 values than by the ratio A260/230 and conditionally affected by the DNA yield. Moreover, we demonstrated that the DGGE band pattern was also affected by the preferential extraction due to chemical agents applied in the extraction. Unlike DGGE, microarray is more affected by the A260/230 and A320 values. Until now, the successful PCR performance is the mostly used criterion for soil DNA purity. However, since PCR was more influenced by the A260/280 ratio than by A260/230, it is not accurate enough any more for microbial community assessed by non-PCR-based methods such as microarray. This study provides some useful hints on how to choose effective DNA extraction method for the subsequent assessment of microbial community.     

The potential of a polyphasic PCR-dGGE approach in evaluating microbial diversity of natural whey cultures for water-buffalo Mozzarella cheese production: bias of culture-dependent and culture-independent analyses

A polyphasic PCR-DGGE approach was used to describe the microbial population occurring in natural whey cultures (NWCs) for water-buffalo Mozzarella cheese production. Total microbial community was assessed without cultivation by analyzing DNA directly extracted from the original samples of NWC. In addition, DNA extracted from bulks of cells formed by harvesting colonies from the serial dilution agar plates of a variety of culture media was used to profile the "cultivable" community. The 16S rDNA V3 region was amplified using DNA from NWC as well as DNA from bulks as templates and the amplicons were separated by DGGE. The microbial entities occurring in NWCs were identified by partial 16S rDNA sequencing of DGGE bands: four lactic acid bacteria (LAB) closest relative of Streptococcus thermophilus, Lactococcus lactis, Lactobacillus delbrueckii and Lactobacillus crispatus were revealed by the analysis of DNA directly extracted from NWC while two other LAB, Lactobacillus fermentum and Enterococcus faecalis, were identified by analyzing DNA from the cultivable community. The developed PCR-DGGE analysis of the "cultivable" community showed good potential in evaluating microbial diversity of a dairy environment: it usefully highlighted the bias introduced by selective amplification when compared to the analysis of the total community from NWC and allowed suitability of media and growth conditions to be evaluated. Moreover, it could be used to complete the culture independent study of microbial diversity to give information on concentration ratios among species occurring in a particular environment and can be proposed for rapid identification of dominant microorganisms in alternative to traditional tools.     

Efficiency of DNA extraction methods on the evaluation of soil microeukaryotic diversity

The evaluation of microbial molecular diversity has been mainly based on the extraction of total DNA from environmental samples. The indirect extraction methods, which have been used for prokaryotes, have never been used to recover soil microeukaryotic DNA. We evaluated the efficiency of an improved indirect DNA extraction protocol developed herein and the direct lysis (the sodium dodecyl sulfate (SDS)-based method and commercial DNA extraction kit) on estimating the molecular diversity of soil microbial eukaryotes. DNA quality and quantity as well as denaturing gradient gel electrophoresis (DGGE) profiles were determined using three soil samples from different stations. The indirect method detected the highest DGGE bands in spite of the low DNA yield. The commercial kit detected a lower number of DGGE bands than the indirect method. The SDS-based method produced the lowest DGGE bands and DNA purity but the highest yield. Using the indirect method, we further evaluated the effect of freezing and air-dried preservations on estimating the microeukaryotic diversity. In spite of the low DNA yield obtained from the air-dried preservation, no significant differences were found in either the number of DGGE bands or the DNA purity between two manners. Our results indicate that the improved indirect method could obtain a high purity of intracellular DNA and high efficiency in the estimation of molecular diversity of soil microbial eukaryotes.     

An advanced molecular strategy to identify bacterial communities on art objects

The application of culture-independent techniques based on molecular biological methods, especially on the PCR amplification of 16S rRNA genes, attempts to overcome some shortcomings of conventional cultivation methods and reveals far more complex bacterial communities on art objects than can be shown by cultivation methods. One of the major challenges of investigating microbial growth on art objects by molecular means is the extraction of DNA, due to small sample amounts and PCR inhibitors. In the present study, we introduce a DNA extraction protocol, which allowed the extraction of PCR-amplifiable DNA from samples derived from lime wall paintings and loamy soil underground. The DNA extracts were used to amplify 16S ribosomal fragments, which were subsequently analyzed by denaturing gradient gel electrophoresis (DGGE). In parallel with the DGGE analysis, clone libraries containing PCR fragments of the ribosomal gene were constructed and clones were screened by DGGE. Clone libraries allow the inclusion of the entire 16S rDNA sequence in the phylogenetic analyses of microorganisms, providing a more reliable phylogenetic identification of microorganisms than is obtained from sequence analyses of excised and directly sequenced DGGE bands.     

Variation of Bacterial Community Diversity in Rhizosphere Soil of Sole-Cropped versus Intercropped Wheat Field after Harvest

As the major crops in north China, spring crops are usually planted from April through May every spring and harvested in fall. Wheat is also a very common crop traditionally planted in fall or spring and harvested in summer year by year. This continuous cropping system exhibited the disadvantages of reducing the fertility of soil through decreasing microbial diversity. Thus, management of microbial diversity in the rhizosphere plays a vital role in sustainable crop production. In this study, ten common spring crops in north China were chosen sole-cropped and four were chosen intercropped with peanut in wheat fields after harvest. Denaturing gradient gel electrophoresis (DGGE) and DNA sequencing of one 16S rDNA fragment were used to analyze the bacterial diversity and species identification. DGGE profiles showed the bacterial community diversity in rhizosphere soil samples varied among various crops under different cropping systems, more diverse under intercropping system than under sole-cropping. Some intercropping-specific bands in DGGE profiles suggested that several bacterial species were stimulated by intercropping systems specifically. Furthermore, the identification of these dominant and functional bacteria by DNA sequencing indicated that intercropping systems are more beneficial to improve soil fertility. Compared to intercropping systems, we also observed changes in microbial community of rhizosphere soil under sole-crops. The rhizosphere bacterial community structure in spring crops showed a strong crop species-specific pattern. More importantly, Empedobacter brevis, a typical plant pathogen, was only found in the carrot rhizosphere, suggesting carrot should be sown prudently. In conclusion, our study demonstrated that crop species and cropping systems had significant effects on bacterial community diversity in the rhizosphere soils. We strongly suggest sorghum, glutinous millet and buckwheat could be taken into account as intercropping crops with peanut; while hulled oat, mung bean or foxtail millet could be considered for sowing in wheat fields after harvest in North China.     

Use of rpoB and 16S rRNA genes to analyse bacterial diversity of a tropical soil using PCR and DGGE

AIM: To evaluate the rpoB gene as a biomarker for PCR-DGGE microbial analyses using soil DNA from the Cerrado, Brazil. METHODS: DNA extraction from soil was followed by Polymerase Chain Reaction (PCR) amplification of rpoB and 16S rRNA genes. PCR products were compared by Denaturing Gradient Gel Electrophoresis (DGGE) to compare gene/community profiles. RESULTS: The rpoB DGGE profiles comprised fewer bands than the 16S rDNA profiles and were easier to delineate and therefore to analyse. Comparison of the community profiles revealed that the methods were complementary. CONCLUSIONS, SIGNIFICANCE AND IMPACT OF THE STUDY: The gene for the beta subunit of the RNA polymerase, rpoB, is a single copy gene unlike 16S rDNA. Multiple copies of 16S rRNA genes in bacterial genomes complicate diversity assessments made from DGGE profiles. Using the rpoB gene offers a better alternative to the commonly used 16S rRNA gene for microbial community analyses based on DGGE.     

GC fractionation enhances microbial community diversity assessment and detection of minority populations of bacteria by denaturing gradient gel electrophoresis

Effectively and accurately assessing total microbial community diversity is one of the primary challenges in modern microbial ecology. This is particularly true with regard to the detection and characterization of unculturable populations and those present only in low abundance. We report a novel strategy, GC fractionation combined with denaturing gradient gel electrophoresis (GC-DGGE), which combines mechanistically different community analysis approaches to enhance assessment of microbial community diversity and detection of minority populations of microbes. This approach employs GC fractionation as an initial step to reduce the complexity of the community in each fraction. This reduced complexity facilitates subsequent detection of diversity in individual fractions. DGGE analysis of individual fractions revealed bands that were undetected or only poorly represented when total bacterial community DNA was analyzed. Also, directed cloning and sequencing of individual bands from DGGE lanes corresponding to individual G+C fractions allowed detection of numerous phylotypes that were not recovered using a traditional random cloning and sequencing approach.     

GC Fractionation Enhances Microbial Community Diversity Assessment and Detection of Minority Populations of Bacteria by Denaturing Gradient Gel Electrophoresis

Effectively and accurately assessing total microbial community diversity is one of the primary challenges in modern microbial ecology. This is particularly true with regard to the detection and characterization of unculturable populations and those present only in low abundance. We report a novel strategy, GC fractionation combined with denaturing gradient gel electrophoresis (GC-DGGE), which combines mechanistically different community analysis approaches to enhance assessment of microbial community diversity and detection of minority populations of microbes. This approach employs GC fractionation as an initial step to reduce the complexity of the community in each fraction. This reduced complexity facilitates subsequent detection of diversity in individual fractions. DGGE analysis of individual fractions revealed bands that were undetected or only poorly represented when total bacterial community DNA was analyzed. Also, directed cloning and sequencing of individual bands from DGGE lanes corresponding to individual G+C fractions allowed detection of numerous phylotypes that were not recovered using a traditional random cloning and sequencing approach.     

Comparison of CE-SSCP and DGGE for monitoring a complex microbial community remediating mine drainage

Capillary electrophoresis single-strand conformation polymorphism (CE-SSCP) is a promising high-throughput tool for profiling complex bioremediation communities, but has not been well characterized with respect to other methods such as denaturing gradient gel electrophoresis (DGGE). The purpose of this study was to compare CE-SSCP with DGGE with respect to: 1) overall representation of the community in terms of the dominant species identified and corresponding Shannon diversity indices; 2) reproducibility and resolution; and 3) artifacts, using a complex sulfate-reducing community remediating mine drainage as a model system. Some of the dominant microorganisms were detected by both methods, but there were also differences in the reported community compositions, and more phylogenetic groups were detected by CE-SSCP. CE-SSCP Shannon diversity indices were slightly higher than those determined from DGGE data, and differed in terms of the time point at which the community was reported to have the highest diversity. Both methods had high reproducibility, but CE-SSCP resolution was higher in terms of the total number of peaks resolved, reduced co-migration of distinct DNA sequences, and length and legibility of the DNA sequencing data of clones used to identify peaks. Ten double bands in the same lane representing the same species were found by DGGE, whereas only one such artifact was observed by CE-SSCP. Finally, less overall sample preparation and analysis time was required for CE-SSCP than for DGGE. The results suggest that CE-SSCP offers several advantages over DGGE, especially for high-throughput monitoring.     

Phylogenetic characterization of microbial mats and streamers from a Japanese alkaline hot spring with a thermal gradient

Dense microbial mats and streamers of various colors developed in an alkaline-hot spring water at 48-76 degrees C and ~0.077 mm sulfide in Nakabusa, Japan. The microbial community structures with a thermal gradient were compared by denaturing gradient gel electrophoresis (DGGE) analysis of the PCR-amplified 16S ribosomal RNA gene fragments. The sequence analysis revealed that a predominant cyanobacterial DGGE band phylogenetically related to Synechococcus elongatus was detected only from green mats at 48 degrees C. Four DGGE bands were detected commonly from green mats at 48 degrees C, orange mats at 58 degrees C and brown mats at 60 degrees C. The sequence analysis revealed that these were phylogenetically related to Chloroflexaceae group, Rhodothermus group, a candidate division OP10, and an unclassified bacterium. On the other hand, Aquificae-, Thermodesulfobacteria-, Thermus group-, and Crenarchaeota-like sequences were detected as a predominant component of DGGE profiling from the streamers only at temperatures over 66 degrees C, but no phototrophic bacterial bands were detected. Thus, the microbial community structure above 60 degrees C was drastically different from that at the lower temperatures. After the addition of hydrogen into in vitro gray streamers with in situ spring water, sulfide production markedly occurred in the presence of ambient sulfate at 66 degrees C. This result suggests that in situ sulfide is partly produced by Thermodesulfobacteria-like sulfate-reducing bacteria in the streamers.     

Development and validation of a nested-PCR-denaturing gradient gel electrophoresis method for taxonomic characterization of bifidobacterial communities

The taxonomic characterization of a bacterial community is difficult to combine with the monitoring of its temporal changes. None of the currently available identification techniques are able to visualize a "complete" community, whereas techniques designed for analyzing bacterial ecosystems generally display limited or labor-intensive identification potential. This paper describes the optimization and validation of a nested-PCR-denaturing gradient gel electrophoresis (DGGE) approach for the species-specific analysis of bifidobacterial communities from any ecosystem. The method comprises a Bifidobacterium-specific PCR step, followed by purification of the amplicons that serve as template DNA in a second PCR step that amplifies the V3 and V6-V8 regions of the 16S rRNA gene. A mix of both amplicons is analyzed on a DGGE gel, after which the band positions are compared with a previously constructed database of reference strains. The method was validated through the analysis of four artificial mixtures, mimicking the possible bifidobacterial microbiota of the human and chicken intestine, a rumen, and the environment, and of two fecal samples. Except for the species Bifidobacterium coryneforme and B. indicum, all currently known bifidobacteria originating from various ecosystems can be identified in a highly reproducible manner. Because no further cloning and sequencing of the DGGE bands is necessary, this nested-PCR-DGGE technique can be completed within a 24-h span, allowing the species-specific monitoring of temporal changes in the bifidobacterial community.     

PCR-based DGGE fingerprinting and identification of methanogens detected in three different types of UASB granules

Methane is produced by various methanogenic bacteria present in upflow anaerobic sludge blanket (UASB) bioreactors. Methane can be used to predict and improve UASB bioreactor efficiency. The methanogen population in the granules can be influenced by the composition of the substrate. The aim of this study was to fingerprint and identify the methanogens present in three different types of UASB granules that had been used to treat winery, brewery and peach-lye canning effluents. This was done using polymerase chain reaction (PCR)-based denaturing gradient gel electrophoresis (DGGE) and DNA sequence analysis. The DGGE fingerprints obtained from the methanogen reference cultures of Methanosaeta concilii, Methanosaeta thermophila, Methanosarcina barkeri, Methanosarcina mazeii and Methanobacterium formicicum were compared to the DGGE profiles of the Archaea in the different granules. The positions of the DGGE bands that did not correspond well to the bands of the known species were sequenced and compared to sequences available on GenBank using the Blastn search option. The aligned DNA sequences were used to construct a phylogenetic tree. Based on the data obtained, a DGGE marker was constructed which was used to provide a quick method to identify the Archaeal members of the microbial consortium in UASB granules.     

昆明盐矿古老岩盐沉积中的原核生物多样性

应用PCR-DGGE和rRNA分析法研究了昆明盐矿古老岩盐沉积中的原核生物多样性。样品的细菌DGGE分析得到27条带,古菌得到18条带。样品与纯培养得到的19个属菌株的DGGE图谱对比分析发现,细菌18个属菌株,只有1个属菌株与样品中的1条带迁移位置都不一致;古菌1个属的菌株不与样品中任何条带迁移位置一致。表明纯培养所得菌株并非该环境中的优势类群。同时,建立了样品细菌和古菌的16S rDNA克隆文库,从中分别挑取36个细菌克隆和20个古菌克隆进行ARDRA分析。细菌可分为10个OTUs,其中3个OTUs是优势类群,分别占38.9%,25.0%,16.7%,其余7个OTUs各含有1个克隆。古菌分为8个OTUs,没有明显的优势类群。每个OTU的代表克隆16S rDNA序列分析表明,细菌分属3大类群:α-Proteobacteria,γ-Proteobacteria和Actinobacteria,以Pseudomonas属菌为优势,含有其它岩盐沉积中没有发现的Actinobacteria。古菌主要是Halorubrum属、Haloterrigena属菌和未培养古菌。本研究表明,昆明盐矿古老岩盐沉积具有较丰富的原核生物多样性,含有大量未知的、未培养或不可培养的原核生物,但在原核生物物种组成和丰度上,免培养与此前的纯培养研究结果存在一定差异。因此,结合使用两类方法才能较全面地认识高盐极端环境微生物的多样性。     

Observation of bias associated with re-amplification of DNA isolated from denaturing gradient gels

DNA from environmental PCR products separated by denaturing gradient gel electrophoresis (DGGE) was isolated from the background smear rather than from discrete bands of the DGGE gel. The "interband" region was considered as a potential source of less dominant members of natural microbial communities. Surprisingly, instead of detecting new bands from the re-amplified PCR products, patterns very similar to the original ones were obtained regardless of the position of the "interband" region. The results suggest that the separation of amplicons by DGGE may not be perfect and band re-amplification based sequence analyses need careful interpretation.     

应用rpoB和16S rDNA基因的变性梯度凝胶电泳技术对山羊瘤胃细菌多样性的研究

采用免培养的rpoB和16S rDNA基因的变性梯度凝胶电泳技术(DGGE)对3种山羊(波尔山羊,内蒙古绒山羊,四川南江黄羊)瘤胃细菌优势菌群结构进行了比较分析。研究结果显示rpoBDGGE图谱中条带数目少于16S rDNA图谱,并且条带分离效果明显,更有利于分析瘤胃细菌群落组成。从两种DGGE图谱中均可以发现3种山羊瘤胃细菌具有一定的相似性,种内个体间相似性明显高于种间相似性,这说明寄主品种是影响瘤胃细菌种群构成的一个重要因素。同时进行了部分优势细菌16S rDNA基因V6-V8区序列的系统发育分析。基因序列分析表明,DGGE图谱中优势条带的16S rDNA基因序列中有4条克隆的序列与基因库最相似菌的相似性大于97%,余下的克隆序列相似性在89%～96%之间,其中13条序列的与之相似性最高的序列均来自于未被鉴定的瘤胃细菌。