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)     

Analysis of bacterial communities on alkaline phosphatase genes in soil supplied with organic matter

Abstract

We studied the effects of the application of organic matter (OM) and chemical fertilizer (CF) on soil alkaline phosphatase (ALP) activity and ALP-harboring bacterial communities in the rhizosphere and bulk soil in an experimental lettuce field in Hokkaido, Japan. The ALP activity was higher in soils with OM than in soils with CF, and activity was higher in the rhizosphere for OM than in the bulk soil. Biomass P and available P in the soil were positively related to the ALP activity of the soil. As a result, the P concentration of lettuce was higher in OM soil than in CF soil. We analyzed the ALP-harboring bacterial communities using polymerase chain reaction based denaturing gradient gel electrophoresis (DGGE) on the ALP genes. Numerous ALP genes were detected in the DGGE profile, regardless of sampling time, fertilizer treatment or sampled soil area, which indicated a large diversity in ALP-harboring bacteria in the soil. Several ALP gene fragments were closely related to the ALP genes of Mesorhizobium loti and Pseudomonas fluorescens. The community structures of the ALP-harboring bacteria were assessed using principal component analysis of the DGGE profiles. Fertilizer treatment and sampled soil area significantly affected the community structures of ALP-harboring bacteria. As the DGGE bands contributing to the principal component were different from sampling time, it is suggested that the major bacteria harboring the ALP gene shifted. Furthermore, there was, in part, a significant correlation between ALP activity and the community structure of the ALP-harboring bacteria. These results raise the possibility that different ALP-harboring bacteria release different amounts and/or activity of ALP, and that the structure of ALP-harboring bacterial communities may play a major role in determining overall soil ALP activity.     

Co-tolerance to zinc and copper of the soil nitrifying community and its relationship with the community structure

Soil microbial communities can develop trace metal tolerance upon soil contamination with corresponding metals. A few studies have reported co-tolerance in such cases, i.e. tolerance to other metals than those to which the microbial community had been exposed to. This study was set-up to test for co-tolerance of nitrifying communities to zinc (Zn) and copper (Cu) and to relate tolerances to shifts in community structure using amoA AOB (ammonia oxidizing bacteria) DGGE. Seven sets of soils, each representing a Cu or Zn contamination gradient were sampled from four locations. At two locations, both Cu and Zn had been added as single contaminants. Increased Zn and Cu tolerance of the nitrifying communities was consistently observed in response to corresponding soil contamination. Co-tolerance to Zn was obtained in two of the three Cu gradients and that to Cu in one of the four Zn gradients. DGGE analysis and sequencing showed that contamination with either Zn or Cu selected for identical AOB phylotypes in soils at one location but not at the other location. The nitrifying community structures in soils from different locations did not become more similar upon Zn exposure than those in corresponding uncontaminated soils. Hence, trace metal tolerance development was not due to the emergence of specific AOB phylotypes, but due to the emergence of different AOB phylotypes bearing tolerance mechanisms for Zn, Cu or both metals.     

Discriminating between effects of metals and natural variables in terrestrial bacterial communities

This study aimed to assess effects of metals on bacterial communities in grassland soil and to discriminate these effects from natural variability in soil properties. Changes in gross parameters of bacterial communities were investigated by the determination of ¹⁴C-leucine and ³H-thymidine incorporation rates, CO₂ evolution, biomass indicators and N mineralization rates. ¹⁴C-leucine incorporation rate and CO₂ evolution showed correlations with all metals tested as well as with organic matter content. ³H-thymidine incorporation rates, biomass indicators and N mineralization rates did not strongly correlate with any physical or chemical parameters. Further, community-level physiological profiles (CLPP) and polymerase chain reaction (PCR)-amplified denaturing gradient gel electrophoresis (DGGE) of 16S rDNA were performed. Monte-Carlo permutation testing was performed to analyse CLPP and DGGE data to allow for a stringent discrimination between sources of effects. CLPP changes correlated with the Pb concentration and pH in the soil. DGGE changes correlated with Pb and Cu concentrations and organic matter content. Pollution-induced community tolerance (PICT) was not found for any of the metals assessed. A causal relation between the effects observed on bacterial communities and the presence of metals was not established with PICT. The negative outcome of PICT can probably be attributed to indirect effects or to methodological problems. We concluded that the observed shifts in CLPP and DGGE patterns are a strong indication of metals effects on bacterial communities in this grassland. These effects could only be filtered from the total variation by multivariate analyses.     

DGGE fingerprinting of culturable soil bacterial communities complements culture-independent analyses

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.     

Investigating microbial community structure in soils by physiological, biochemical and molecular fingerprinting methods

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.     

DNA- versus RNA-based denaturing gradient gel electrophoresis profiles of a bacterial community during replenishment after soil fumigation

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.     

Distribution of microbial communities in a forest soil profile investigated by microbial biomass, soil respiration and DGGE of total and extracellular DNA

We studied the distribution of the indigenous bacterial and fungal communities in a forest soil profile. The composition of bacterial and fungal communities was assessed by denaturing gradient gel electrophoresis (DGGE) of total and extracellular DNA extracted from all the soil horizons. Microbial biomass C and basal respiration were also measured to assess changes in both microbial biomass and activity throughout the soil profile. The 16S rDNA-DGGE revealed composite banding patterns reflecting the high bacterial diversity as expected for a forest soil, whereas 18S rDNA-DGGE analysis showed a certain stability and a lower diversity in the fungal communities. The banding patterns of the different horizons reflected changes in the microbial community structure with increasing depth. In particular, the DGGE analysis evidenced complex banding patterns for the upper A1 and A2 horizons, and a less diverse microflora in the deeper horizons. The low diversity and the presence of specific microbial communities in the B horizons, and in particular in the deeper ones, can be attributed to the selective environment represented by this portion of the soil profile. The eubacterial profiles obtained from the extracellular DNA revealed the presence of some bands not present in the total DNA patterns. This could be interpreted as the remainders of bacteria not any more present in the soil because of changes of edaphic conditions and consequent shifting in the microbial composition. These characteristic bands, present in all the horizons with the exception of the A1, should support the concept that the extracellular DNA is able to persist within the soil. Furthermore, the comparison between the total and extracellular 16S rDNA-DGGE profiles suggested a downwards movement of the extracellular DNA.     

Bacterial community structure in soil microaggregates and on particulate organic matter fractions located outside or inside soil macroaggregates

Soil aggregates and particulate organic matter (POM) are thought to represent distinct soil microhabitats for microbial communities. This study investigated whether organo-mineral (0–20, 20–50 and 50–200 μm) and POM (two sizes: >200 and <200 μm) soil fractions represent distinct microbial habitats. Microbial habitats were characterised by the amount and quality of organic matter, the genetic structure of the bacterial community, and their location outside or inside macroaggregates (>200 μm). The denaturing gradient gel electrophoresis (DGGE) profiles revealed that bacterial communities structure of organo-mineral soil fractions were significantly different in comparison to the unfractionated soil. Conversely, there were little differences in C concentrations, C:N ratios and no differences in DGGE profiles between organo-mineral fractions. Bacterial communities between soil fractions located inside or outside macroaggregates were not significantly different. However, the bacterial communities on POM fractions were significantly different in comparison to organo-mineral soil fractions and unfractionated soil, and also between the 2 sizes of POM. Thus in the studied soil, only POM fractions represented distinct microhabitats for bacterial community, which likely vary with the state of decomposition of the POM.     

长期施肥对黑土农田土壤微生物群落的影响

基于中国科学院海伦农业生态试验站长期定位试验区,应用实时荧光定量PCR(Real-time PCR)和变性梯度凝胶电泳(DGGE)技术研究了无施肥(NF)、单施N、P化肥(NP)以及化肥配施有机猪粪肥(NPM)等3种长期施肥措施对黑土区玉米田土壤微生物群落密度和结构的影响.Real-time PCR方法定量NF、NP及NPM措施土壤细菌群落基因组DNA质量分别为381、1 351和1 773 ng g-1干土,真菌群落基因组DNA质量分别113.3、127.3和20.6 ng g-1干土,真菌与细菌的比率分别为0.31、0.09和0.01,NPM措施显著低于另两种施肥方式(p＜0.05).DGGE方法研究表明,NP和NPM措施不能改善土壤细菌和真菌群落的多样性、均匀性及优势菌优势程度;但主成分分析结果显示NP和NPM措施均可改变土壤细菌和真菌群落的构成,且真菌群落的变化更为显著;聚类分析结果显示NP和NPM措施下细菌群落结构较相近,其相似系数为0.89,真菌群落中NP措施与NF措施相近,相似系数为0.63,高于NP与NPM措施的相似系数0.51.上述结果表明有机猪粪肥的长期施用可以显著降低黑土农田土壤真菌与细菌的比率,且明显地改变土壤细菌和真菌群落的结构.     

Soil microbial biomass,crop yields,and bacterial community structure as affected by long-term fertilizer treatments under wheat-rice cropping

Soil microbial biomass carbon (SMBC) and nitrogen (SMBN), soil microbial community structure, and crop yields were studied in a long-term (1982–2004) fertilization experiment carried out in Suining, Sichuan province of PR China. Eight treatments included three chemical fertilizer (CF) treatments (N, NP, NPK), three CF + farmyard manure (M) treatments (NM, NPM, NPKM), M alone and no fertilizer (CK) as control. The results showed that the soil microbial biomass was higher in soil treated with CFM than in soil treated with CF alone, and that NPKM gave the highest rice and wheat yields. The SMBC and SMBN were higher after rice than those after wheat cropping. SMBC correlated closely with soil organic matter. Average yields of wheat and rice for 22 years were higher and more stable in the fertilized plots than in control plots. Bacterial community structure was analyzed by PCR-DGGE targeting eubacterial 16S rRNA genes. A higher diversity of the soil bacterial community was found in soil amended with CFM than in other fertilizer treatments. Some specific band emerged in the soil amended with M. The highest diversity of bacterial communities was found in the NPKM treated soil. The bacterial community structures differed in rice and wheat plots. Sequencing of PCR products separated in DGGE showed that some of the common and dominant bands were closely related to Aquicella lusitana and to Acidobacteria. This study demonstrated that mixed application of N, P, and K with additional M amendment increased soil microbial biomass, diversified the bacterial communities and maintained the crop production in the Calcareous Purplish Paddy soil.     

利用Illumina高通量测序对复合重金属污染下根际和非根际稻田土壤细菌的研究

There is an increasing concern about rice (Oryza sativa L.) soil microbiomes under the influence of mixed heavy metal contamination.We used the high-throughput Illumina MiSeq sequencing approach to explore the bacterial diversity and community composition of soils in four paddy fields,exhibiting four degrees of mixed heavy metal (Cd,Pb and Zn) pollution,and examined the effects of these metals on the bacterial communities.Our results showed that up to 2 104 to 4 359 bacterial operational taxonomic units (OTUs) were found in the bulk and rhizosphere soils of the paddy fields,with the dominant bacterial phyla (greater than 1％ of the overall community) including Proteobacteria,Actinobacteria,Firmicutes,Acidobacteria,Gemmatimonadetes,Chloroflexi,Bacteroidetes and Nitrospirae.A number of rare and candidate bacterial groups were also detected,and Saprospirales,HOC36,SC-I-84 and Anaerospora were rarely detected in rice paddy soils.Venn diagram analysis showed that 174 bacterial OTUs were shared among the bulk soils with four pollution degrees.Rice rhizosphere soils displayed higher bacterial diversity indices (ACE and Chao 1) and more unique OTUs than bulk soils.Total Cd and Zn in the soils were significantly negatively correlated with ACE and Chao 1,respectively,and the Mantel test suggested that total Pb,total Zn,pH,total nitrogen and total phosphorus significantly affected the community structure.Overall,these results provided baseline data for the bacterial communities in bulk and rhizosphere soils of paddy fields contaminated with mixed heavy metals.     

稻秸对土壤细菌群落分子多态性的影响

模拟稻秸原位还田条件,分别在水稻土和红壤中添加水稻秸秆培养70d ,第0、5、2 5、4 5、70天采集土样。采用非机械破壁法直接提取水稻土和红壤细菌总DNA ,水稻土细菌总DNA经过二次纯化;红壤细菌总DNA经过一次纯化后,PCR扩增其16SrDNAV3可变区,均可获得清晰的目的条带,对扩增产物进行DGGE分析,结果显示:水稻土和红壤样品的DGGE条带增加,说明稻秸能够增加土壤细菌群落分子多态性的丰富度,随着培养期的延长,施有稻秸的处理中土壤细菌群落多态性的变化远远复杂于空白对照土壤中的细菌群落变化;同时发现在稻秸刺激下不同土壤细菌群落多态性高峰期出现时间不同     

Diversity of microorganisms from forest soils differently polluted with heavy metals

Large accumulation of heavy metals in organic layers of forest soils may adversely affect the structure and diversity of microbial communities. The objective of this study was to assess the influence of different soil chemical properties on structure and diversity of microbial communities in soils polluted with different levels of heavy metals. The soil samples were taken at ten sites located in the vicinity of the cities of Legnica and Olkusz, differently polluted with Cu, Zn and Pb. The samples were measured for pH and the contents of organic C (C_org), total N (N_t), total S (S_t) and total Zn, Cu and Pb. The measured gross microbial properties included microbial biomass (C_mic) and soil respiration (RESP). The structure of soil microbial communities was assessed using phospholipid fatty acid (PLFA) analysis and the structure of soil bacterial communities using pyrosequencing of 16S rRNA genes. To assess diversity of the bacterial communities the Chao1 index was calculated based on the pyrosequencing data. For C_mic and RESP the most important factors were N_t and C_org, respectively. The structure and diversity of soil microbial communities revealed by PLFA profiles and pyrosequencing depended mainly on soil pH. The effect of high heavy metal contents on soil microbial properties was weaker compared with other soil properties. High concentrations of heavy metals negatively affected RESP and the Chao1 diversity index. The heavy metal pollution altered the structure of microbial communities measured with PLFA analysis, but the effect of heavy metal pollution was not observed for the structure of soil bacteria measured by pyrosequencing. The obtained results indicate that the use of soil microbial properties to study heavy metal effects may be difficult due to confounding influences of other environmental factors. In large-scale studies local variability of soil properties may obscure the effect of heavy metals.     

Differences in the composition and diversity of bacterial communities from agricultural and forest soils

Differences in the bacterial communities of soils caused by disturbances and land management were identified in rRNA gene libraries prepared from conventional tilled (CT) and no tilled (NT) cropland, a successional forest after 30 y of regrowth (NF) and an old forest of >65 y (OF) at Horseshoe Bend, in the southern Piedmont of Georgia (USA). Libraries were also prepared from forests after 80 y of regrowth at the Coweeta Long Term Ecological Research site (CWT) in the Southern Appalachians of western North Carolina (USA). The composition of the bacterial communities in cropland soils differed from those of the Horseshoe Bend OF and CWT forest soils, and many of the most abundant OTUs were different. Likewise, the diversity of bacterial communities from forest was less than that from cropland. The lower diversity in forest soils was attributed to the presence of a few, very abundant taxa in forest soils that were of reduced abundance or absent in cropland soils. After 30 y of regrowth, the composition of the bacterial soil community of the NF was similar to that of the OF, but the diversity was greater. These results suggested that the bacterial community of soil changes slowly within the time scale of these studies. In contrast, the composition and diversity of the bacterial communities in the Horseshoe Bend OF and Coweeta soils were very similar. Thus, this forest soil bacterial community was widely distributed in spite of the differences in soil properties, vegetation, and climate as well as resilient to disturbances of the above ground vegetation.     

Compositional shifts of bacterial groups in a solarized and amended soil as determined by denaturing gradient gel electrophoresis

Soil solarization is a widespread, nonchemical agricultural practice for disinfesting soils, which is often used in combination with organic amendment, and whose action represents an important factor impacting on soil bacterial communities structure and population dynamics. The present study was conducted to investigate whether and to which extent a 72-day plot-scale soil solarization treatment, either combined or not with organic amendment, could stimulate compositional changes in the genetic structure of indigenous soil bacterial communities. Soil solarization with transparent polyethylene film, in combination or not with farmyard manure addition, was carried out during a summer period on a clay loam agricultural soil located in Southern Italy. Soils from a four-treatment (NS, nonsolarized control soil; S, solarized soil; MA, manure-amended nonsolarized soil; MS, manure-amended and solarized soil) plot block were sampled after 0, 8, 16, 36 and 72 days. Compositional shifts in the genetic structure of indigenous soil bacterial communities were monitored by denaturing gradient gel electrophoresis (DGGE) fingerprinting of 16S rRNA gene fragments amplified from soil-extracted community DNA using primers specific for Bacteria, Actinomycetales, α- and β-Proteobacteria. Changes in soil temperature, pH, and electrical conductivity (EC_1:1) were also monitored from 0 to 72 days. Beneath the polyethylene film the average soil temperature at 8-cm depth reached 55 °C compared to 35 °C in nonsolarized soil. In general, without amendment both soil pH and EC_1:1 were not significantly affected by solarization, whereas in manured plots either variables were greatly increased (from 7.0 to 8.0 pH and from 271 to 3021 μS cm⁻¹ EC_1:1), and both showed long-lasting effects due to soil solar heating. The eubacterial DGGE profiles revealed that soil solarization was the main factor inducing strong time-dependent population shifts in the community structure either in unamended or amended soils. Conversely, the addition of organic amendment resulted in an altered bacterial community, which remained rather stable over time. A similar behaviour was also observed in the DGGE patterns of β-proteobacterial and actinomycete populations, and also, albeit to a lesser extent, in the DGGE profiles of α-Proteobacteria. An increased bacterial richness was evidenced by DGGE fingerprints in 16- and 36-day samplings, followed by a decrease appearing in 72-day samplings. This could be explained, other than by a direct thermal effect on soil microflora, by solarization-induced changes in the physico-chemical properties of soil microbial habitats or by other ecological factors (e.g. decreased competitiveness of dominating bacterial species, reduced grazing pressure of microfaunal predators, increased nutrient availability).     

Effect of organic mulches on soil bacterial communities one year after application

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.     

Microbial composition and diversity of an upland red soil under long-term fertilization treatments as revealed by culture-dependent and culture-independent approaches

Background, aim, and scope  Fertilization is an important agricultural practice for increasing crop yields. In order to maintain the soil sustainability, it is important to monitor the effects of fertilizer applications on the shifts of soil microorganisms, which control the cycling of many nutrients in the soil. Here, culture-dependent and culture-independent approaches were used to analyze the soil bacterial and fungal quantities and community structure under seven fertilization treatments, including Control, Manure, Return (harvested peanut straw was returned to the plot), and chemical fertilizers of NPK, NP, NK, and PK. The objective of this study was to examine the effects on soil microbial composition and diversity of long-term organic and chemical fertilizer regimes in a Chinese upland red soil. Materials and methods  Soil samples were collected from a long-term experiment station at Yingtan (28°15′N, 116°55′E), Jiangxi Province of China. The soil samples (0–20 cm) from four individual plots per treatment were collected. The total numbers of culturable bacteria and fungi were determined as colony forming units (CFUs) and selected colonies were identified on agar plates by dilution plate methods. Moreover, soil DNAs were extracted and bacterial 16S rRNA genes and fungal 18S rRNA genes were polymerase chain reaction amplified, and then analyzed by denaturing gradient gel electrophoresis (DGGE), cloning, and sequencing. Results  The organic fertilizers, especially manure, induced the least culturable bacterial CFUs, but the highest bacterial diversity ascertained by DGGE banding patterns. Chemical fertilizers, on the other hand, had less effect on the bacterial composition and diversity, with the NK treatment having the lowest CFUs. For the fungal community, the manure treatment had the largest CFUs but much fewer DGGE bands, also with the NK treatment having the lowest CFUs. The conventional identification of representative bacterial and fungal genera showed that long-term fertilization treatments resulted in differences in soil microbial composition and diversity. In particular, 42.4% of the identified bacterial isolates were classified into members of Arthrobacter. For fungi, Aspergillus, Penicillium, and Mucor were the most prevalent three genera, which accounted for 46.6% of the total identified fungi. The long-term fertilization treatments resulted in different bacterial and fungal compositions ascertained by the culture-dependent and also the culture-independent approaches. Discussion  It was evident that more representative fungal genera appeared in organic treatments than other treatments, indicating that culturable fungi were more sensitive to organic than to chemical fertilizers. A very notable finding was that fungal CFUs appeared maximal in organic manure treatments. This was quite different from the bacterial CFUs in the manure, indicating that bacteria and fungi responded differently to the fertilization. Similar to bacteria, the minimum fungal CFUs were also observed in the NK treatment. This result provided evidence that phosphorus could be a key factor for microorganisms in the soil. Thus, despite the fact that culture-dependent techniques are not ideal for studies of the composition of natural microbial communities when used alone, they provide one of the more useful means of understanding the growth habit, development, and potential function of microorganisms from soil habitats. A combination of culture-dependent and culture-independent approaches is likely to reveal more complete information regarding the composition of soil microbial communities. Conclusions  Long-term fertilization had great effects on the soil bacterial and fungal communities. Organic fertilizer applications induced the least culturable bacterial CFUs but the highest bacterial diversity, while chemical fertilizer applications had less impact on soil bacterial community. The largest fungal CFUs were obtained, but much lower diversity was detected in the manure treatment. The lowest bacterial and also fungal CFUs were observed in the NK treatment. The long-term fertilization treatments resulted in different bacterial and fungal compositions ascertained by the culture-dependent and also the culture-independent approaches. Phosphorus fertilizer could be considered as a key factor to control the microbial CFUs and diversity in this Chinese upland red soil. Recommendations and perspectives  Soil fungi seem to be a more sensitive indicator of soil fertility than soil bacteria. Since the major limitation of molecular methods in soil microbial studies is the lack of discrimination between the living and dead, or active and dormant microorganisms, both culture-dependent and culture-independent methods should be used to appropriately characterize soil microbial diversity.     

Rapid changes in the rhizosphere bacterial community structure during re-colonization of sterilized soil

Diversity has been shown to be pivotal in ecosystem stability and resilience. It is therefore important to increase our knowledge about the development of diversity. The aim of this study was to investigate the temporal dynamics of the bacterial community structure in the rhizosphere of wheat plants growing in a soil in which the initial conditions for bacterial re-colonization were modified by mixing different amounts of sterilized with native soil at ratios of 19:1, 9:1, 4:1 and 1:1. Additional treatments comprised sterilized soil or native soil. Plant dry weight at day 20 decreased with increasing percentage of native soil in the mix. The bacterial community structure in the rhizosphere was assessed by polymerase chain reaction-denaturing gradient gel electrophoresis (DGGE) at days 3, 14 and 20 after planting. The bacterial community in the sterilized soil had a lower diversity and evenness than the native soil. Both diversity and evenness increased with time in the sterilized soil. Community structure in the different mixes changed over time and the changes were mix-specific. Principal component analyses of the DGGE banding patterns showed clear differences between the treatments particularly at day 3 and day 14 and revealed changes in community structure within a few days in a given treatment. The results of the present study show that bacterial communities rapidly re-colonize sterilized soil. During re-colonization, the community structure changes rapidly with a general trend towards higher diversity and evenness. The changes in community structure over time are also affected by the amount of sterile substrate to be re-colonized.     

Liming induces growth of a diverse flora of ammonia-oxidising bacteria in acid spruce forest soil as determined by SSCP and DGGE

The autotrophic ammonia-oxidising bacterial (AOB) community composition was studied in acid coniferous forest soil profiles at a site in southwestern Sweden 6 years after liming. Liming caused a significant increase in pH in the organic horizons, while the mineral soil was unaffected. The AOB communities were studied by single-strand conformation polymorphism (SSCP) in parallel with denaturing gradient gel electrophoresis (DGGE) analysis of partial 16S rRNA genes amplified by PCR using primers reported to be specific for β-Proteobacteria AOB, followed by nucleotide sequencing. High genetic diversity of Nitrosospira-like sequences was found in the limed soil profiles, whereas no AOB-like sequences were detected in the control soil at any depth, according to both the SSCP and DGGE analyses. This clearly showed that liming induced growth of a diverse flora of AOB at this forest site. Both Nitrosospira cluster 2 and cluster 4 sequences were present in the limed soil profiles, regardless of soil pH, but we found a higher number of sequences affiliated with cluster 4. The high lime dose seemed to affect the AOB community more than the low dose, and its effects reached deeper into the soil profile. Seven different Nitrosospira-like sequences were found 10 cm under the litter layer in the soil limed with the high dose, but only two in the soil amended with the low lime dose.