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1.
DGGE法与常规培养法对稻田蓝细菌多态性分析结果比较   总被引：1，自引：0，他引：1  
研究运用蓝细菌和硅藻16SrDNA特异引物,将晚季水稻生长后期稻田土壤中提取的总DNA进行PCR扩增后,以DGGE技术对PCR产物进行分析结果表明,14条DGGE带经克隆测序,经NCBI基因库比对得晚季水稻生长后期存在10种蓝细菌,包括4种Leptolyngbya、1种Chamaesiphon、1种Nostoc、1种Oscillatoria、2种Syne-chococcus和1种Chroococcidiopsis。同层不同位置土壤中蓝细菌种群亦有所不同,但每个取样点都有一些特有的蓝细菌种类。用常规方法对同一稻田土壤样品进行分离培养,根据蓝细菌鉴定图谱观察到类似Lyngbya、Oscillatori-a、Chroococcidiopsis及Nostoc的蓝细菌,但显微镜下无法准确分类。比较结果表明采用DGGE法比常规培养法能更准确进行蓝细菌多态性鉴定。  相似文献   

2.
土壤细菌群落在蔬菜栽培中发挥着重要作用。基于DNA和RNA水平,利用PCR-DGGE技术研究了不同栽培环境下有机与常规蔬菜土壤细菌群落多样性差异,以及土壤理化性质与细菌群落多样性的关系。结果表明：不同栽培方式下土壤细菌多样性存在明显差异,土壤微生物的优势种群和数量受有机、常规栽培和季节影响,有机栽培较之常规栽培能够显著增加土壤细菌群落多样性;聚类分析表明,16S rDNA细菌群落多样性与季节相关,而16S rRNA细菌群落多样性与栽培方式相关;差异条带测序显示,大多细菌与不可培养细菌种属有较高同源性,其余9种推测属于假单胞菌属;CCA分析说明pH是影响土壤细菌群落多样性的主要因素,有机栽培土壤中微生物生物量C、N以及有机质含量显著高于常规栽培土壤。综上,有机栽培能够丰富活性细菌群落多样性,具有土壤优化效应。  相似文献   

3.
The community fingerprints of both the prevalent and the metabolically active microbial community were related to a quantitative estimation of microbial biomass in an arable soil, revealed by substrate-induced-respiration (SIR). Two concentrations of glucose or l-asparagine, representing those used in the SIR measurement or equivalent to those released in root exudates, were studied. Respiration rates and changes in community structure fingerprints were followed for 48 h. Bacterial and fungal community fingerprints were obtained using both reverse transcribed 16S and 18S ribosomal RNA (rRNA) regions and the corresponding rDNA as a template in PCR. Samples were then analysed by denaturing gradient gel electrophoresis (DGGE). Low concentrations of substrate amendments resulted in minor changes in rRNA or rDNA-based bacterial and fungal banding patterns during the whole 48 h incubation. High concentrations of substrates, especially l-asparagine, increased respiration rates and induced significant changes in both 16S rRNA and rDNA-community fingerprints. The prominent rRNA and rDNA bacterial community sequence types were common to all treatments, but in general the bacterial rDNA fingerprints had fewer bands than the corresponding rRNA profiles that assess the active fraction of the community. In contrast, there was little difference between fungal 18S rRNA and rDNA patterns. The number of fungal ribosomal sequence types in DGGE fingerprints was lower than the number of bacterial types. This study indicated that there was a rapid respiration response by the whole microbial community during SIR estimates in soil, but that community structure did not change during the conventional incubation period. In an extended (8-48 h) incubation with high amounts of l-asparagine increased respiration was associated with growth of the microbial community.  相似文献   

4.
Soil microbial biomass and community structures are commonly used as indicators for soil quality and fertility. A investigation was performed to study the effects of long-term natural restoration, cropping, and bare fallow managements on the soil microbial biomass and bacterial community structures in depths of 0--10, 20--30, and 40--50 cm in a black soil (Mollisol). Microbial biomass was estimated from chloroform fumigation-extraction, and bacterial community structures were determined by analysis of 16S rDNA using polymerase chain reaction-denaturing gradient gel electrophoresis (PCR-DGGE). Experimental results showed that microbial biomass significantly declined with soil depth in the managements of restoration and cropping, but not in the bare fallow. DGGE profiles indicated that the band number in top 0--10 cm soils was less than that in depth of 20--30 or 40--50 cm. These suggested that the microbial population was high but the bacterial community structure was simple in the topsoil. Cluster and principle component analysis based on DGGE banding patterns showed that the bacterial community structure was affected by soil depth more primarily than by managements, and the succession of bacterial community as increase of soil depth has a similar tendency in the three managements. Fourteen predominating DGGE bands were excised and sequenced, in which 6 bands were identified as the taxa of Verrucomicrobia, 2 bands as Actinobacteria, 2 bands as α-Proteobacteria, and the other 4 bands as δ-Proteobacteria, Acidobacteria, Nitrospira, and unclassified bacteria. In addition, the sequences of 11 DGGE bands were closely related to uncultured bacteria. Thus, the bacterial community structure in black soil was stable, and the predominating bacterial groups were uncultured.  相似文献   

5.
Culture-dependent DGGE (CD DGGE) fingerprinting of the 16S rRNA gene was used to characterize mixed bacterial communities recovered on agar plates. Using R2A Agar as a growth medium, CD DGGE analysis resulted in clear banding patterns of sufficient complexity (16-32 major bands) and reproducibility to investigate differences in bacterial communities in a silt loam soil. Replicate CD DGGE profiles from plates inoculated with less-dilute samples (10−3) had a higher band count and were more similar (72-77%) than profiles from more-dilute samples (51-61%). Different culture media and incubation conditions resulted in distinct community fingerprints and increased the cumulative number of unique bands detected. When CD DGGE fingerprints were compared to profiles constructed from 16S rRNA genes obtained from culture-independent clone libraries (CB DGGE profiles) 34% of the bands were unique to the culture-dependent profiles, 32% were unique to the culture-independent profiles and 34% were found in both communities. These data demonstrate that culture-independent DGGE profiles are supplemented by the distinct bands detected in culture-dependent profiles. CD DGGE can be a useful technique to follow the dynamics of distinct culturable fractions of the soil bacterial community.  相似文献   

6.
The effect of bensulfuron-methyl (BSM) on a soil microbial community in a model paddy microcosm was studied. Total bacterial numbers in the overlying water and surface soil were monitored for 2 months after the application of BSM at the field rate and a ten-fold field rate. Pentachlorophenol (PCP) was used for comparison. Neither chemical affected the total bacterial numbers remarkably, either in the overlying water or in the surface soil. In contrast, the nitrification potential was significantly suppressed by the BSM application. The bacterial community structure, as evaluated by the denaturing gradient gel electrophoresis (DGGE) of PCR amplification products from bacterial 16S rDNA, was unaffected by the BSM treatments over 8 weeks in the surface soil, compared with the control (no pesticide). In contrast, the surface soil exposed to PCP at a ten-fold field rate showed different patterns from the controls at 4 weeks and 8 weeks after application. The DGGE patterns of the overlying water were much more variable than those of the surface soil in any treatments. Cluster analysis showed that the BSM plots were classified within the same group as the control at 1 week after application and that the BSM and PCP plots from 2 weeks onward after application were grouped differently from the control. Of 22 clones excised from the DGGE gels, 20 clones belonged to the Proteobacteria and two belonged to the Verrucomicrobia. It was considered that the impact of BSM on the overall microbial community (total numbers, community structure of soil) was negligible, although BSM had an impact on some specific functions of the soil microbial community (nitrification) and a part of the community (overlying water).  相似文献   

7.
采用PCR—RFLP法研究了丁草胺和毒死蜱复合污染对土壤细菌多样性的影响。应用试剂盒提取土壤样品总DNA,以细菌的16SrDNA通用引物27F／1492R扩增16SrDNA片段,将扩增产物与T－载体酶连,转化大肠杆菌,建立16SrDNA克隆文库。阳性克隆子用限制性内切酶HhaI-RsaI消化,获得酶切指纹图。结果表明,通过双酶切分型,对照产生带型最多,有70种类型,其余处理OTU种类均比对照有所减少,分别减少了10、30和41种。在不同处理中其多样性存在差异。对照土壤环境中细菌种类最丰富,多样性最高,且基因型中无明显的优势类群,说明农药的外源喷施会引起土壤细菌多样性降低。处理Ⅲ的Shannon—Wiener指数、Simpson指数和丰富度都低于单一农药的处理,而均匀度非常高,说明这2种农药的复合施用对一些细菌的丧失会起协同作用,造成某些土壤细菌的富集。  相似文献   

8.
Winter cover crops increase the amount of indigenous arbuscular mycorrhizal fungi (AMF) in the soil, providing beneficial effects such as enhancement of phosphorus uptake by the subsequent crop. However, its impact on the AMF community structure is not well understood. In the present study, we aimed to reveal the effect of winter wheat cover cropping with no-till cultivation on the AMF community structures in soil and roots of the subsequent soybean. For this purpose, we conducted a field experiment consisting of two treatments, no-till soybean cultivation after winter wheat cover cropping (NTWC) and conventional soybean cultivation after winter fallow management as a control (CONT). At the flowering stage of soybean, higher AMF colonization of soybean roots was observed in the NTWC plots compared with the CONT plots. Additionally, aboveground biomass and phosphorus uptake of soybean in the NTWC plots were significantly higher than those in the CONT plots. Molecular community analyses based on PCR-denaturing gradient gel electrophoresis (DGGE) of AMF 18S rRNA genes indicated that the AMF community structures in the soil and soybean root of the NTWC plots were clearly different from those of the CONT plots. The DGGE profiles showed that the wheat cover cropping preferentially increased some phylotypes belonging to Glomeraceae and Claroideoglomeraceae. In addition, most of the phylotypes were characteristically observed in the subsequent soybean root of the NTWC plots, strongly suggesting that these phylotypes colonizing the cover crop wheat were taken over by the subsequent soybean. Our study revealed the significant effect of winter cover cropping with no-till cultivation on the structure of AMF community colonizing the subsequent soybean.  相似文献   

9.
An open question with regard to the community ecology of arbuscular mycorrhizal fungi (AMF) concerns how to best amplify AMF in the soil, which contains a large proportion of DNA from AM extra-radical mycelium and spores. However, to date, a direct comparison of AMF primers for soil samples, which would systematically assess their amplification efficiency, is still missing. In our present study, we compared and characterized four widely used primer sets targeting AMF 18S rDNA or SSU-ITS-LSU rDNA from three soil samples as follows: (1) SSUmAf/LSUmAr?+?SSUmCf/LSUmBr, (2) GeoA2/Geo11?+?NS31/AM1, (3) AML1/AML2?+?NS31/AM1 and (4) AMV4.5NF/AMDGR. These primer sets were compared in terms of the proportion of Glomeromycota detected, AMF diversity and community composition. Our data revealed that the newly combined primer set 3 was the most suitable one for amplifying AMF from soil samples. It yielded the highest AMF alpha diversity, and was very specific to Glomeromycota. Primer set 2 was unable to amplify Claroideoglomus from soil 1, which was the dominant AMF clade as proved by other three primer sets. Primer set 4 demonstrated its instability among different soil samples, since the proportion of AMF in total sequences varied from 5% to 83%. Although primer set 1 showed the highest proportion of AMF (95–100%) in the soil samples, it captured the lowest AMF diversity, and the operational taxonomic units obtained by this primer set were only 36.4% of that by primer set 4. Taken together, our data suggested that AMF diversity in soil samples could be underestimated by primer set 1, 2 and 4. Our result confirmed the important role of the choice of AMF primers for analyzing AMF communities in soil and explored the most suitable one for amplifying AMF from soil samples.  相似文献   

10.
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11.
《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   

12.
Several biochemical and molecular methods are used to investigate the microbial diversity and changes in microbial community structure in rhizospheres and bulk soils resulting from changes in management. We have compared the effects of plants on the microbial community, using several methods, in three different types of soils. Pots containing soil from three contrasting sites were planted with Lolium perenne (rye grass). Physiological (Biolog), biochemical (PLFA) and molecular (DGGE and TRFLP) fingerprinting methods were employed to study the change in soil microbial communities caused by the growth of rye grass. Different methods of DNA extraction and nested PCR on TRFLP profiles were examined to investigate whether they gave different views of community structure. Molecular methods were used for both fungal and bacterial diversity. Principal component analysis of Biolog data suggested a significant effect of the plants on the microbial community structure. We found significant effects of both soil type and plants on microbial communities in PLFA data. Data from TRFLP of soil bacterial communities showed large effects of soil type and smaller but significant effects of plants. Effects of plant growth on soil fungal communities were measured by TRFLP and DGGE. Multiple Procrustes analysis suggested that both methods gave similar results, with only soil types having a significant effect on fungal communities. However, TRFLP was more discriminatory as it generated more ribotype fragments for each sample than the number of bands detected by DGGE. Neither methods of DNA extraction nor the nested PCR had any effect on the evaluation of soil microbial community structure. In conclusion, the different methods of microbial fingerprinting gave qualitatively similar results when samples were processed consistently and compatible statistical methods used. However, the molecular methods were more discriminatory than the physiological and biochemical approaches. We believe results obtained from this experiment will have a major impact on soil microbial ecology in general and rhizosphere–microbial interaction studies in particular, as we showed that the different fingerprinting methods for microbial communities gave qualitatively similar results.  相似文献   

13.
Flooded paddy fields are the major anthropogenic sources of methane (CH4) emission, and organic materials of rice plant origin were estimated to be important as its source. This study used rice (Oryza sativa L. cv, Yukihikari) callus cells as a model material for slough-off root cap cells, and carbon-13 (13C)-labelled callus cells were subjected to decomposition in aerobic and anaerobic soil microcosms for 56 days. DNA was extracted from a soil incubated with carbon-12 (12C)- and 13C-callus cells and subjected to buoyant density gradient centrifugation to identify methanogenic archaeal species that assimilated carbon from the callus cells. 13C-labelled 16S rRNA gene (16S rDNA) fragments from methanogenic archaea were not polymerase chain reaction (PCR)-amplified in heavy fractions under aerobic soil conditions, while they were successfully done from day 3 onwards under anaerobic soil conditions. Eighty-four denaturing gradient gel electrophoresis (DGGE) bands in heavy fractions were sequenced, revealing that they were members of Methanosarcina spp. (20 clones), Methanosaeta spp. (18 clones), Methanocella spp. (25 clones), Methanomicrobiales (10 clones), Methanobacterium spp. (7 clones) and Cluster ZC-I (2 clones). They included hydrogenotrophic and acetoclastic methanogens and were phylogenetically different from those residing in rice roots and, presumably, from those assimilating root exudate and mucilage-derived carbon. This study indicates that carbon of slough-off root cap cells propagates specific methanogenic species in rice rhizosphere under anaerobic soil conditions and thus augments the diversity of the total rhizospheric methanogenic community.  相似文献   

14.
Consensus nematode 18S ribosomal DNA primers were designed by aligning available 18S sequences and identifying a variable region flanked by highly conserved regions. These primers were then used to amplify nematode 18S rDNA from whole soil community DNA extracted from a range of European grassland types. Cloning of the PCR amplicons (778 bp) followed by restriction digest analysis (RFLP) resulted in the recovery of 34 unique nematode sequences from the four grasslands studied. Comparison of these data with the limited number of 18S rDNA nematode sequences currently held in on-line databases revealed that all of the sequences could be assigned to known nematode taxa albeit tentatively in some cases. Two of the sequences recovered from the site in the Netherlands (wet, hay-grassland) were recovered in a clade that included a sequence of the genus Trichodorus whilst other sequences from this site showed similarity with 18S rDNA sequences of the genus Prismatolaimus (five sequences), Xiphinema (one sequence) and Enoplus (one sequence). Of the remaining sequences, two showed some affinity with Mylonchulus (UK, upland peat), four with Steinernema (UK) and one sequence with Mesorhabditis (Hungary, east European Steppe). Three sequences from the Netherlands and one from Hungary were recovered in a clade that included a sequence of the genus Pratylenchoides whilst three further sequences from the Netherlands and two from Hungary were recovered in a clade encompassing the genus Globodera. Of the remaining nine sequences, two (NL6, NL62) formed a distinct lineage within the Adenophorea with 90% bootstrap recovery in a paraphyletic clade that included sequences of Prismatolaimus and Trichodorus. Seven sequences (three from the Netherlands, three from the UK and one from Greece) were left unassigned though the tree topology suggested some relationship (58% bootstrap recovery) with the genus Cephalobus. To assess whether primers used to amplify 18S rDNA might be used to fingerprint genetic diversity in nematode communities in soil, the environmental sequence data were used to design a second set of primers carrying a GC-clamp. These primers amplified a 469 bp fragment internal to the region flanked by the primer set used to derive the nematode trees and were used to amplify 18S rDNA for subsequent analysis using denaturing gradient gel electrophoresis (DGGE). DGGE analysis of six major European grassland types revealed considerable genetic diversity between sites. However, the relationships seen with the DGGE data were inconsistent with previous studies where the same soils had been characterized with respect to functional and morphological diversity. To confirm that this second set of primers was amplifying nematode sequences, selected bands on the DGGE gels were extracted, PCR amplified and sequenced. The final alignment was 337 bases. These analyses revealed the presence of sequence signatures from the genera Paratrichodorus, Plectus, Steinernema, Globodera, Cephalobus and Pratylenchoides.  相似文献   

15.
Three experiments were conducted in this study in order to investigate the impacts of soil type, soybean genotype, and the reproductive growth stage on bacterial communities in the soybean rhizosphere. Communities were evaluated by principal component analysis of denaturing gradient gel electrophoresis (DGGE) banding patterns and sequencing of partial 16S rDNA polymerase chain reaction (PCR) amplicons. A pot experiment analyzing three soybean genotypes grown in two different types of soil (Black soil and Dark Brown soil) indicated that soil type was the major factor in influencing the bacterial communities in the soybean rhizosphere, with a more significant effect observed in the Black soil samples than in the Dark Brown soil samples. A field experiment was conducted in Dark Brown soil using three soybean genotypes, and the results gleaned from both pot and field experiments indicated that bacterial communities in the soybean rhizosphere changed with growth stages, and higher number of DGGE bands observed in early reproductive growth stages, while surprisingly, a significant impact of genotype on the bacterial communities was not observed in these experiments. However, a plate culture experiment targeting the culturable bacterial communities detected a remarkable difference in the community structures of the rhizosphere between the two soybean genotypes, suggesting that a small portion of the total bacteria was influenced by genotype. Sequence analysis of DGGE bands indicated that bacterial phyla of Proteobacteria, Actinobacteria, Bacteroidetes, Nitrospirae, Firmicutes, Verrucomicrobia and Acidobacteria commonly inhabit the soybean rhizosphere.  相似文献   

16.
The structure of the β-proteobacterial autotrophic ammonia-oxidizing bacterial (AOB) communities in a microcosm of submerged paddy soil was determined by denaturing gradient gel electrophoresis (DGGE) analysis of 16S rRNA gene fragments amplified using AOB-selective primers. Shift in the community composition was observed 4 weeks after submergence. The communities from the surface layers (0–1, 2–3 mm) of the soil microcosm were different from those of the subsurface layers (6–9, > 15 mm) and DGGE bands specific to each layer were detected. The majority of the retrieved sequences were Nitrosospira-like, whereas no Nitrosomonas-like sequences were obtained. The 16S rDNA primer set also amplified sequences that were not related to the known Nitrosospira-Nitrosomonas group, although they showed a close relationship with other groups of β-proteobacteria. The results suggest that Nitrosospira-like populations are dominant AOB populations in the submerged paddy soil, and that the oxic layer of submerged paddy soil harbours the specific AOB.  相似文献   

17.
We compared the responsiveness and sensitivity to soil fumigation of DNA- and RNA-based analyses of a bacterial community. We first established an improved RNA extraction method using DNA as an adsorption competitor, because it is extremely difficult to extract nucleic acids from clay-rich volcanic ash soil (Andisol), which adsorbs nucleic acids. This novel method facilitated RNA extraction from 500 mg of Andisol for molecular analyses. Then we monitored 16S rDNA PCR and 16S rRNA RT-PCR denaturing gradient gel electrophoresis (DGGE) profiles of samples collected from a chloropicrin (CP)-treated field over 2 months. The difference between untreated control and CP-treated plots was detected clearly both in DNA- and RNA-based DGGE profiles after treatment. The temporal changes in DGGE profiles, however, differed between DNA- and RNA-based analyses in CP-treated plots. RNA-based DGGE showed quicker and greater changes in the bacterial community after CP treatment than did DNA-based DGGE, which showed similar trends to RNA-based DGGE but with a time lag. The extent of decrease in the diversity index (H′) and the change in principal response curves was larger in RNA-based analyses. These results indicate that the rDNA PCR-DGGE method also detects DNA of microbes no longer alive after fumigation, and that rRNA provides a more responsive biomarker than rDNA.  相似文献   

18.
《Applied soil ecology》2007,35(1):79-93
Microbial diversity in soils is considered important for maintaining sustainability of agricultural production systems. However, the links between microbial diversity and ecosystem processes are not well understood. This study was designed to gain better understanding of the effects of short-term management practices on the microbial community and how changes in the microbial community affect key soil processes. The effects of different forms of nitrogen (N) on soil biology and N dynamics was determined in two soils with organic and conventional management histories that varied in soil microbial properties but had the same fertility. The soils were amended with equal amounts of N (100 kg ha−1) in organic (lupin, Lupinus angustifolius L.) and mineral form (urea), respectively. Over a 91-day period, microbial biomass C and N, dehydrogenase enzyme activity, community structure of pseudomondas (sensu stricto), actinomycetes and α proteobacteria (by denaturing gradient gel electrophoresis (DGGE) following PCR amplification of 16S rDNA fragments) and N mineralisation were measured. Lupin amendment resulted in a two- to five-fold increase in microbial biomass and enzyme activity, while these parameters did not differ significantly between the urea and control treatments. The PCR–DGGE analysis showed that the addition of mineral and organic compounds had an influence on the microbial community composition in the short term (up to 10 days) but the effects were not sustained over the 91-day incubation period. Microbial community structure was strongly influenced by the presence or lack of substrate, while the type of amendment (organic or mineral) had an effect on microbial biomass size and activity. These findings show that the addition of green manures improved soil biology by increasing microbial biomass and activity irrespective of management history, that no direct relationship existed among microbial structure, enzyme activity and N mineralisation, and that microbial community structure (by PCR–DGGE) was more strongly influenced by inherent soil and environmental factors than by short-term management practices.  相似文献   

19.
The application of organic mulches as a soil cover is effective in improving the quality of soil. However, very little information is available on the effect of mulches on the soil microbial community. In this study, we investigated the effect of various organic mulches on soil dehydrogenase activity (DHA) and microbial community structures in the top 1 cm and 5 cm below the soil surface 1 year after application of the mulches. DHA was stimulated at both depths in plots mulched with grass clippings (GC), but was not significantly different from the control for the other mulch treatments. Fatty acid methyl ester (FAME) analysis and denaturing gradient gel electrophoresis (DGGE) of polymerase chain reaction-amplified 16S rDNA fragments were used to assess changes in the soil microbial community structure. Cluster analysis and principle component analysis of FAME profiles showed that only soil mulched with pine chips distinctively clustered from the other treatments. At the soil surface, bacterial DGGE profiles revealed that distinct shifts in several bacterial populations occurred in soils mulched with GC and eucalyptus yardwaste (EY), while DGGE profiles from soil at the 5 cm depth revealed no distinct changes. Changes in bacterial diversity at the soil surface under different mulches were calculated based on the number of bands in the DGGE profile using the Shannon-Weaver index of diversity ( H). Compared to the control ( H =0.9), the GC- and EY-treated soils showed slightly increased bacterial diversity, with an H of 1.1 and 1.0, respectively. These results indicate that the long-term effect of organic mulches on the soil microbial activity and community structure is highly dependent upon the type of mulch and is mostly exerted in the top few centimeters of the soil profile.  相似文献   

20.
Since biochemical and microbiological methods used to study microbial community changes induced by anthropogenic activities can be biased, the impact of two herbicides on soil microorganisms was investigated by culture-independent molecular techniques. The effect of three different amounts (the recommended field dose, tenfold, and 100-fold the dose) of propanil or prometryne on the bacterial community of a clay soil, two modalities of incubation (soil moisture at 70% of the field capacity and a soil-herbicide suspension, 1:10, w:v), and time of incubation were investigated by denaturing gradient gel electrophoresis (DGGE) and amplified rDNA restriction analysis (ARDRA). Two sets of primers for 16S rDNA were used to amplify total soil DNA. Sterile and non-sterile samples were used to determine, by HPLC, the amounts of herbicides adsorbed on soil and transformed by soil microorganisms. Prometryne persisted in soil longer than propanil. Propanil was removed significantly more by non-sterile than by sterile samples, while for prometryne, slight differences were observed. 3,4-Dichloroaniline, a product of propanil hydrolysis, was detected in non-sterile samples and increased with incubation time. Propanil did not affect soil bacteria significantly as indicated by DGGE and ARDRA, with the only exception being the soil-herbicide suspension. Despite a lower utilization of prometryne by soil microorganisms, DGGE analysis showed a more diverse banding than with propanil. Some bands were also detected in the DNA sample extracted from the soil-prometryne suspension, and could be representative of bacterial species utilizing the herbicide as a carbon source, in two very different soil microcosms.  相似文献   

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