Life in leaf litter: novel insights into community dynamics of bacteria and fungi during litter decomposition

Microorganisms play a crucial role in the biological decomposition of plant litter in terrestrial ecosystems. Due to the permanently changing litter quality during decomposition, studies of both fungi and bacteria at a fine taxonomic resolution are required during the whole process. Here we investigated microbial community succession in decomposing leaf litter of temperate beech forest using pyrotag sequencing of the bacterial 16S and the fungal internal transcribed spacer (ITS) rRNA genes. Our results reveal that both communities underwent rapid changes. Proteobacteria, Actinobacteria and Bacteroidetes dominated over the entire study period, but their taxonomic composition and abundances changed markedly among sampling dates. The fungal community also changed dynamically as decomposition progressed, with ascomycete fungi being increasingly replaced by basidiomycetes. We found a consistent and highly significant correlation between bacterial richness and fungal richness (R = 0.76, P < 0.001) and community structure (R_Mantel = 0.85, P < 0.001), providing evidence of coupled dynamics in the fungal and bacterial communities. A network analysis highlighted nonrandom co‐occurrences among bacterial and fungal taxa as well as a shift in the cross‐kingdom co‐occurrence pattern of their communities from the early to the later stages of decomposition. During this process, macronutrients, micronutrients, C:N ratio and pH were significantly correlated with the fungal and bacterial communities, while bacterial richness positively correlated with three hydrolytic enzymes important for C, N and P acquisition. Overall, we provide evidence that the complex litter decay is the result of a dynamic cross‐kingdom functional succession.     

Effects of genetically modified potatoes with increased zeaxanthin content on the abundance and diversity of rhizobacteria with in vitro antagonistic activity do not exceed natural variability among cultivars

To assess potential effects of genetically modified (GM) potatoes on the abundance and diversity of rhizobacteria with in vitro antagonistic activity in relation to natural variability among cultivars, two GM potato lines accumulating the carotenoid zeaxanthin in their tubers, the parental cultivar and four additional commercial cultivars were planted at two field sites in Germany. Rhizosphere samples were taken at three developmental stages of the plants. A total of 3,985 bacteria isolated from the rhizosphere were screened for their in vitro antagonistic activity towards Rhizoctonia solani, Verticillium dahliae and Phytophthora infestans using a dual-culture assay. Genotypic characterisation, 16S rRNA gene sequencing and antifungal metabolite analysis was performed to characterize the 595 antagonists obtained. The 16S rRNA gene-based identification of in vitro antagonists revealed strong site-dependent differences in their taxonomic composition. This study showed that the site was the overriding factor determining the proportion and diversity of antagonists from the rhizosphere of potato while the effect of the genetic modification on the proportion of antagonists obtained did not exceed natural variability among the five commercial cultivars tested.     

Changes of Diversity Pattern of Proteolytic Bacteria over Time and Space in an Agricultural Soil

The genetic heterogeneity of neutral metalloprotease (npr) gene fragments from soil proteolytic bacteria was investigated at a cultivated field site with four different soil types and at three different depths in April, July, and October. Terminal restriction fragment length polymorphism (T-RFLP) analyses of polymerase chain reaction-amplified npr gene fragments were applied to study the dynamic of the npr gene pool with regard to environmental conditions. The aim of this study was to relate differences in npr community structure and richness to the vertical, site, and seasonal variations naturally occurring at the field site under investigation. T-RFLP analysis revealed a noticeable seasonal variability in the community structure of npr-containing bacteria. The data suggest that the composition of the npr proteolytic bacterial population in July differed from those at the other dates. Additionally, the diversity of npr genes decreased with increasing soil depth revealing the highest values in upper layers. The reasons behind the observed patterns in the community structure might be mainly seasonal and vertical variation of the quantity and heterogeneity of available substrates as well as spatial isolation caused by a varying water amount and the connectivity of soil particles among the soil profile. Sequencing and phylogenetical analysis of 120 npr clones from the top soils collected in July revealed that most of the clones exhibit only poor homology to npr genes of isolates previously obtained from various environments, indicating the presence of until now uncharacterized npr coding proteolytic bacteria at the study site.     

Comparative sequence analysis of the internal transcribed spacer 1 of Ochrobactrum species

The internal 16S/23S rDNA (rrs/rrl) internal spacer region 1 (ITS1) of 54 Ochrobactrum strains and close relatives was analysed. Separation of ITS1 containing PCR products by gel-electrophoresis, DGGE, cloning and sequencing revealed ITS1 length and sequence heterogeneity. We found up to 5 different allelic ITS1 stretches within a single strain (Ochrobactrum intermedium LMG 3301T), and 2-3 different ITS1 alleles in O. tritici. Within ITS1, ITS1c, being part of the conserved double-stranded rrn processing stem dsPS1, produced the most reliable segment tree. The overall ITS1, ITS1c and rrs phylogenetic tree topologies were generally consistent, but there was evidence for horizontal rrn (segment) transfer in O. tritici LMG 2134 (formerly O. anthropi). Good correlations were found between ITS1, ITS1c and rrs sequence similarity and DNA-DNA hybridization values indicating that phylogenetic analysis of ITS1 and ITS1c both can be used to preliminarily deduce the phylogenetic affiliation if HGT was excluded. Strains sharing > 96.19% ITS1c (> 95.11% ITS1) similarity fell within a species, and < or = 68.42% ITS1c (< or = 70.33% ITS1) similarity outside a genus. Both ITS1 and ITS1c analysis resolved microdiversity more profoundly than rrs analysis and revealed clades (genomovars) within O. anthropi that were also produced in rep cluster analysis. There was no evidence for habitat-specific ITS1 genomovars within Ochrobactrum species. Diversity of Ochrobactrum was higher in soil than at the rhizoplane below and at the species level. Isolates from soil contained only 1 rrn type whereas isolates from human clinical, animal and rhizoplane specimens could contain more.     

Shifts in reclamation management strategies shape the role of exopolysaccharide and lipopolysaccharide-producing bacteria during soil formation

Polymeric substances produced by microbes play a key role for the development of soil aggregates. Here, we investigated the dynamics of bacterial families contributing to the formation of exopolysaccharides and lipopolysaccharides, major constituents of polymeric substances, at a managed land reclamation site of a post-mining area. We collected soil samples from the initial and the agricultural management phase and expected a peak in the abundance of bacteria capable for exopolysaccharide and lipopolysaccharide production at the points of the biggest disturbances. We used shotgun metagenomic sequencing in combination with measurements of exopolysaccharide concentrations. Our results underline the importance of exopolysaccharide and lipopolysaccharide-producing bacteria after nutrient input combined with structural disturbance events, caused here by the initial planting of alfalfa and the introduction of a tillage regime together with organic fertilization in the agricultural management phase. Moreover, the changes in management caused a shift in the exopolysaccharide/lipopolysaccharide-producing community. The initial phase was dominated by typical colonizers of oligotrophic environments, specifically nitrogen fixers (Rhizobiaceae, Comamonadaceae, Hyphomicrobiaceae), while bacteria common in agricultural soils, such as Sphingomonadaceae, Oxalobacteraceae and Nitrospiraceae, prevailed in the agricultural management phase.     

Inter-laboratory evaluation of the ISO standard 11063 "Soil quality - Method to directly extract DNA from soil samples"

Extracting DNA directly from micro-organisms living in soil is a crucial step for the molecular analysis of soil microbial communities. However, the use of a plethora of different soil DNA extraction protocols, each with its own bias, makes accurate data comparison difficult. To overcome this problem, a method for soil DNA extraction was proposed to the International Organization for Standardization (ISO) in 2006. This method was evaluated by 13 independent European laboratories actively participating in national and international ring tests. The reproducibility of the standardized method for molecular analyses was evaluated by comparing the amount of DNA extracted, as well as the abundance and genetic structure of the total bacterial community in the DNA extracted from 12 different soils by the 13 laboratories. High quality DNA was successfully extracted from all 12 soils, despite different physical and chemical characteristics and a range of origins from arable soils, through forests to industrial sites. Quantification of the 16S rRNA gene abundances by real time PCR and analysis of the total bacterial community structure by automated ribosomal intergenic spacer analysis (A-RISA) showed acceptable to good levels of reproducibility. Based on the results of both ring-tests, the method was unanimously approved by the ISO as an international standard method and the normative protocol will now be disseminated within the scientific community. Standardization of a soil DNA extraction method will improve data comparison, facilitating our understanding of soil microbial diversity and soil quality monitoring.     

Influence of land-use intensity on the spatial distribution of N-cycling microorganisms in grassland soils

A geostatistical approach using replicated grassland sites (10 m × 10 m) was applied to investigate the influence of grassland management, i.e. unfertilized pastures and fertilized mown meadows representing low and high land-use intensity (LUI), on soil biogeochemical properties and spatial distributions of ammonia-oxidizing and denitrifying microorganisms in soil. Spatial autocorrelations of the different N-cycling communities ranged between 1.4 and 7.6 m for ammonia oxidizers and from 0.3 m for nosZ-type denitrifiers to scales >14 m for nirK-type denitrifiers. The spatial heterogeneity of ammonia oxidizers and nirS-type denitrifiers increased in high LUI, but decreased for biogeochemical properties, suggesting that biotic and/or abiotic factors other than those measured are driving the spatial distribution of these microorganisms at the plot scale. Furthermore, ammonia oxidizers (amoA ammonia-oxidizing archaea and amoA ammonia-oxidizing bacteria) and nitrate reducers (napA and narG) showed spatial coexistence, whereas niche partitioning was found between nirK- and nirS-type denitrifiers. Together, our results indicate that spatial analysis is a useful tool to characterize the distribution of different functional microbial guilds with respect to soil biogeochemical properties and land-use management. In addition, spatial analyses allowed us to identify distinct distribution ranges indicating the coexistence or niche partitioning of N-cycling communities in grassland soil.     

Influence of Different Forest System Management Practices on Leaf Litter Decomposition Rates,Nutrient Dynamics and the Activity of Ligninolytic Enzymes: A Case Study from Central European Forests

Leaf litter decomposition is the key ecological process that determines the sustainability of managed forest ecosystems, however very few studies hitherto have investigated this process with respect to silvicultural management practices. The aims of the present study were to investigate the effects of forest management practices on leaf litter decomposition rates, nutrient dynamics (C, N, Mg, K, Ca, P) and the activity of ligninolytic enzymes. We approached these questions using a 473 day long litterbag experiment. We found that age-class beech and spruce forests (high forest management intensity) had significantly higher decomposition rates and nutrient release (most nutrients) than unmanaged deciduous forest reserves (P<0.05). The site with near-to-nature forest management (low forest management intensity) exhibited no significant differences in litter decomposition rate, C release, lignin decomposition, and C/N, lignin/N and ligninolytic enzyme patterns compared to the unmanaged deciduous forest reserves, but most nutrient dynamics examined in this study were significantly faster under such near-to-nature forest management practices. Analyzing the activities of ligninolytic enzymes provided evidence that different forest system management practices affect litter decomposition by changing microbial enzyme activities, at least over the investigated time frame of 473 days (laccase, P<0.0001; manganese peroxidase (MnP), P = 0.0260). Our results also indicate that lignin decomposition is the rate limiting step in leaf litter decomposition and that MnP is one of the key oxidative enzymes of litter degradation. We demonstrate here that forest system management practices can significantly affect important ecological processes and services such as decomposition and nutrient cycling.     

General Relationships between Abiotic Soil Properties and Soil Biota across Spatial Scales and Different Land-Use Types

Very few principles have been unraveled that explain the relationship between soil properties and soil biota across large spatial scales and different land-use types. Here, we seek these general relationships using data from 52 differently managed grassland and forest soils in three study regions spanning a latitudinal gradient in Germany. We hypothesize that, after extraction of variation that is explained by location and land-use type, soil properties still explain significant proportions of variation in the abundance and diversity of soil biota. If the relationships between predictors and soil organisms were analyzed individually for each predictor group, soil properties explained the highest amount of variation in soil biota abundance and diversity, followed by land-use type and sampling location. After extraction of variation that originated from location or land-use, abiotic soil properties explained significant amounts of variation in fungal, meso- and macrofauna, but not in yeast or bacterial biomass or diversity. Nitrate or nitrogen concentration and fungal biomass were positively related, but nitrate concentration was negatively related to the abundances of Collembola and mites and to the myriapod species richness across a range of forest and grassland soils. The species richness of earthworms was positively correlated with clay content of soils independent of sample location and land-use type. Our study indicates that after accounting for heterogeneity resulting from large scale differences among sampling locations and land-use types, soil properties still explain significant proportions of variation in fungal and soil fauna abundance or diversity. However, soil biota was also related to processes that act at larger spatial scales and bacteria or soil yeasts only showed weak relationships to soil properties. We therefore argue that more general relationships between soil properties and soil biota can only be derived from future studies that consider larger spatial scales and different land-use types.