Microbial community structure in hadal sediments: high similarity along trench axes and strong changes along redox gradients

Hadal trench sediments are hotspots of biogeochemical activity in the deep sea, but the biogeochemical and ecological factors that shape benthic hadal microbial communities remain unknown. Here, we sampled ten hadal sites from two trench regions with a vertical resolution of down to 1 cm. We sequenced 16S rRNA gene amplicons using universal and archaea-specific primer sets and compared the results to biogeochemical parameters. Despite bathymetric and depositional heterogeneity we found a high similarity of microbial communities within each of the two trench axes, while composition at the phylum level varied strongly with sediment depth in conjunction with the redox stratification into oxic, nitrogenous, and ferruginous zones. As a result, communities of a given sediment horizon were more similar to each other across a distance of hundreds of kilometers within each trench, than to those of adjacent horizons from the same sites separated only by centimeters. Total organic carbon content statistically only explained a small part of the variation within and between trenches, and did not explain the community differences observed between the hadal and adjacent shallower sites. Anaerobic taxa increased in abundance at the top of the ferruginous zone, seeded by organisms deposited at the sediment surface and surviving burial through the upper redox zones. While an influence of other potential factors such as geographic isolation, hydrostatic pressure, and non-steady state depositional regimes could not be discerned, redox stratification and diagenesis appear to be the main selective forces that structure community composition in hadal sediments.Subject terms: Water microbiology, Microbial ecology, Microbiome, Biogeochemistry, Biogeochemistry     

Dynamic changes in the microbial community composition in microbial fuel cells fed with sucrose

The performance and dynamics of the bacterial communities in the biofilm and suspended culture in the anode chamber of sucrose-fed microbial fuel cells (MFCs) were studied by using denaturing gradient gel electrophoresis (DGGE) of PCR-amplified partial 16S rRNA genes followed by species identification by sequencing. The power density of MFCs was correlated to the relative proportions of species obtained from DGGE analysis in order to detect bacterial species or taxonomic classes with important functional role in electricity production. Although replicate MFCs showed similarity in performance, cluster analysis of DGGE profiles revealed differences in the evolution of bacterial communities between replicate MFCs. No correlation was found between the proportion trends of specific species and the enhancement of power output. However, in all MFCs, putative exoelectrogenic denitrifiers and sulphate-reducers accounted for approximately 24% of the bacterial biofilm community at the end of the study. Pareto–Lorenz evenness distribution curves extracted from the DGGE patterns obtained from time course samples indicated community structures where shifts between functionally similar species occur, as observed within the predominant fermentative bacteria. These results suggest the presence of functional redundancy within the anodic communities, a probable indication that stable MFC performance can be maintained in changing environmental conditions. The capability of bacteria to adapt to electricity generation might be present among a wide range of bacteria.     

Characterizing seasonal changes in physicochemistry and bacterial community composition in hyporheic sediments

The hyporheic zone of stream ecosystems is a critical habitat for microbial communities. However, the factors influencing hyporheic bacterial communities along spatial and seasonal gradients remain poorly understood. We sought to characterize patterns in bacterial community composition among the sediments of a small stream in southern Ontario, Canada. We used sampling cores to collect monthly hyporheic water and sediment microbial communities in 2006 and 2007. We described bacterial communities terminal-restriction fragment length polymorphism (TRFLP) and tested for spatial and seasonal relationships with physicochemical parameters using multivariate statistics. Overall, the hyporheic zone appears to be a DOC, oxygen, and nitrogen sink. Microbial communities were distinct from those at the streambed surface and from soil collected in the adjacent watershed. In the sediments, microbial communities were distinct between the fall, spring, and summer seasons, and bacterial communities were more diverse at streambed surface and near-surface sites compared with deeper sites. Moreover, bacterial communities were similar between consecutive fall seasons despite shifting throughout the year, suggesting recurring community assemblages associated with season and location in the hyporheic zone. Using canonical correspondence analysis, seasonal patterns in microbial community composition and environmental parameters were correlated in the following way: temperature was related to summer communities; DOC (likely from biofilm and allochthonous inputs) influenced most fall communities; and nitrogen associated strongly with winter and spring communities. Our results also suggest that labile DOC entering the hyporheic zone occurred in concert with shifts in the bacterial community. Generally, seasonal patterns in hyporheic physicochemistry and microbial biodiversity remain largely unexplored. Therefore, we highlight the importance of seasonal and spatial resolution when assessing surface- and groundwater interactions in stream ecosystems.     

Physiological shifts in the microbial community drive changes in enzyme activity in a perennial agroecosystem

Perennial agroecosystems have the potential to promote plant–microbial linkages by increasing the quantity of root carbon entering the soil. However, an understanding of how perennial cropping systems affect microbial communities remains incomplete. The objective of this study was to determine the potential for a fertilized perennial bioenergy cropping system to impact microbial growth and enzyme activity. Three times throughout the growing season we examined the activity of four enzymes involved in decomposition (ß-glucosidase, ß-xylosidase, cellobiohydrolase, and N-acetyl glucosaminidase) in replicated plots of an annual (corn) and perennial-based (switchgrass) cropping system. We also took simultaneous measurements of microbial biomass and potential rates of microbial respiration and net N mineralization. Microbial biomass was unaffected by cropping system. Mid-summer, however, we observed increases in enzyme activity and potential microbial respiration in the perennial system that were independent of microbial biomass, likely in response to labile carbon inputs. Further, we observed lower net N mineralization, higher microbial biomass nitrogen and higher activity of nitrogen liberating enzymes, which are indicative of a community with high nitrogen demands. Overall, our research demonstrates that perennial agroecosystems can affect the physiological capacity of the microbial community, yielding communities with greater nitrogen retention and greater rates of decomposition as a result of allocation of resources towards enzyme production and nitrogen mining. These results can inform biogeochemical models with respect to the importance of temporally dynamic changes in carbon and nitrogen availability and microbial carbon use efficiency as drivers of enzyme production.     

Microenvironments and microbial community structure in sediments

The aim of this study was to explore the potential of a combined chemical and microbiological approach as part of a study of organic carbon oxidation processes in sediments. An assessment of microbiological diversity using molecular techniques was carried out in combination with high resolution chemical measurements at the sediment-water interface of a coastal lagoon affected by eutrophication in autumn 2000. There was a 0.2 mm overlap between the O2 and H2S profiles. pH showed a maximum just above the sediment-water interface coinciding with an oxygen maximum, suggesting photosynthetic activity, and a minimum coinciding with the O2-H2S interface. The redox potential was high in bottom water and surface sediment, reflecting the presence of oxygen and oxides, and reached low values after a step-wise decrease at -18 mm. Reduction of Fe occurred within the biofilm at the O2-H2S interface and was mostly due to reduction by H2S. The elevated concentrations of dissolved Mn in the oxic water may have been caused either by in situ production within organic aggregates or lateral water flow from sites nearby at which Mn2+ diffuses out of the sediment. Sequences related to sulphur chemolitotrophs were retrieved from the biofilm samples, which is consistent with the small overlap between O2 and H2S observed in this biofilm. Although the resolution of techniques used was different, sequencing results were consistent with chemical data in delineating the same horizons according to redox, pH or ecological properties.     

Parallel selective pressures drive convergent diversification of phenotypes in pythons and boas

Pythons and boas are globally distributed and distantly related radiations with remarkable phenotypic and ecological diversity. We tested whether pythons, boas and their relatives have evolved convergent phenotypes when they display similar ecology. We collected geometric morphometric data on head shape for 1073 specimens representing over 80% of species. We show that these two groups display strong and widespread convergence when they occupy equivalent ecological niches and that the history of phenotypic evolution strongly matches the history of ecological diversification, suggesting that both processes are strongly coupled. These results are consistent with replicated adaptive radiation in both groups. We argue that strong selective pressures related to habitat‐use have driven this convergence. Pythons and boas provide a new model system for the study of macro‐evolutionary patterns of morphological and ecological evolution and they do so at a deeper level of divergence and global scale than any well‐established adaptive radiation model systems.     

Climate extremes drive changes in functional community structure

The response of communities to climate extremes can be quite variable. Much of this variation has been attributed to differences in community‐specific functional trait diversity, as well as community composition. Yet, few if any studies have explicitly tested the response of the functional trait structure of communities following climate extremes (CEs). Recently in South Florida, two independent, but sequential potential CEs took place, a 2010 cold front, followed by a 2011 drought, both of which had profound impacts on a subtropical estuarine fish community. These CEs provided an opportunity to test whether the structure of South Florida fish communities following each extreme was a result of species‐specific differences in functional traits. From historical temperature (1927–2012) and freshwater inflows records into the estuary (1955–2012), we determined that the cold front was a statistically extreme disturbance, while the drought was not, but rather a decadal rare disturbance. The two disturbances predictably affected different parts of functional community structure and thus different component species. The cold front virtually eliminated tropical species, including large‐bodied snook, mojarra species, nonnative cichlids, and striped mullet, while having little affect on temperate fishes. Likewise, the drought severely impacted freshwater fishes including Florida gar, bowfin, and two centrarchids, with little effect on euryhaline species. Our findings illustrate the ability of this approach to predict and detect both the filtering effects of different types of disturbances and the implications of the resulting changes in community structure. Further, we highlight the value of this approach to developing predictive frameworks for better understanding community responses to global change.     

青藏高原湖泊沉积物中有机碳组分构成及其对微生物群落结构的影响

【目的】探究湖泊沉积物中有机碳组分构成及其对湖泊微生物群落结构的影响。【方法】本研究采集了青藏高原29个湖泊共81个沉积物样品,通过硫酸水解法分析样品中易降解和难降解有机碳含量及其与环境变量之间的相关性;同时使用高通量测序技术分析样品中原核微生物和真菌群落的多样性和组成及其与易降解和难降解有机碳含量的相关关系。【结果】本研究的青藏高原湖泊沉积物中易降解有机碳Ⅰ(labile organic carbon Ⅰ, LOCⅠ)、易降解有机碳Ⅱ(labile organic carbon Ⅱ, LOCⅡ)和难降解有机碳(recalcitrant organic carbon, ROC)的含量分别为0.03–29.62 mg/g、0.02–23.38 mg/g和0.64–75.72 mg/g,ROC是沉积物有机碳的主要组分(占比为54.97%±19.50%)。LOCⅠ含量与海拔、总氮、总磷、钙离子、活性钙和活性铁含量显著相关(P<0.05);LOCⅡ含量与总氮、钙离子和活性钙含量显著相关;而ROC含量与海拔、总氮、总磷、钙离子和活性钙含量显著相关。其中,钙离子和活性钙的浓度与3种有机碳组分...     

Sheep-urine-induced changes in soil microbial community structure

Soil microbial communities play an important role in nutrient cycling and nutrient availability, especially in unimproved soils. In grazed pastures, sheep urine causes local changes in nutrient concentration which may be a source of heterogeneity in microbial community structure. In the present study, we investigated the effects of synthetic urine on soil microbial community structure, using physiological (community level physiological profiling, CLPP), biochemical (phospholipid fatty acid analysis, PLFA) and molecular (denaturing gradient gel electrophoresis, DGGE) fingerprinting methods. PLFA data suggested that synthetic urine treatment had no significant effect on total microbial (total PLFA), total bacterial or fungal biomass; however, significant changes in microbial community structure were observed with both PLFA and DGGE data. PLFA data suggested that synthetic urine induced a shift towards communities with higher concentrations of branched fatty acids. DGGE banding patterns derived from control and treated soils differed, due to a higher proportion of DNA sequences migrating only to the upper regions of the gel in synthetic urine-treated samples. The shifts in community structure measured by PLFA and DGGE were significantly correlated with one another, suggesting that both datasets reflected the same changes in microbial communities. Synthetic urine treatment preferentially stimulated the use of rhizosphere-C in sole-carbon-source utilisation profiles. The changes caused by synthetic urine addition accounted for only 10-15% of the total variability in community structure, suggesting that overall microbial community structure was reasonably stable and that changes were confined to a small proportion of the communities.     

Alteration of microbial community composition and changes in decomposition associated with an invasive intertidal macrophyte

Data demonstrating the effects of biological invaders on microbial communities and microbial processes are scarce, especially in marine environments. Research was conducted at Padilla Bay, Washington, to examine the effect that an invasive intertidal eelgrass, Zostera japonica Aschers & Graebn, has on rates of decomposition, microbial community composition, and the possible implications for associated ecosystem processes in this estuarine environment. A series of observational and experimental studies were conducted in beds of Z. japonica, beds of its native congener, Zostera marina, and mixed eelgrass beds. These studies assessed decomposition of invasive and native eelgrass, enumerated bacterial abundance, and examined sole source carbon usage (SSCU) by microbial assemblages. Z. japonica decomposed more rapidly than its native congener throughout the study period although rates of decomposition were variable. Microbial abundance did not differ among different vegetation compositions although differences in SSCU by microbial assemblages were detected among beds of invasive, native, and mixed eelgrass. These results indicate that this abundant invasive species can accelerate rates of decomposition and alter the associative decomposer community, which may lead to higher carbon and nutrient turnover within Padilla Bay.     

Stochastic changes over time and not founder effects drive cage effects in microbial community assembly in a mouse model

Maternal transmission and cage effects are powerful confounding factors in microbiome studies. To assess the consequences of cage microenvironment on the mouse gut microbiome, two groups of germ-free (GF) wild-type (WT) mice, one gavaged with a microbiota harvested from adult WT mice and another allowed to acquire the microbiome from the cage microenvironment, were monitored using Illumina 16S rRNA sequencing over a period of 8 weeks. Our results revealed that cage effects in WT mice moved from GF to specific pathogen free (SPF) conditions take several weeks to develop and are not eliminated by the initial gavage treatment. Initial gavage influenced, but did not eliminate a successional pattern in which Proteobacteria became less abundant over time. An analysis in which 16S rRNA sequences are mapped to the closest sequenced whole genome suggests that the functional potential of microbial genomes changes significantly over time shifting from an emphasis on pathogenesis and motility early in community assembly to metabolic processes at later time points. Functionally, mice allowed to naturally acquire a microbial community from their cage, but not mice gavaged with a common biome, exhibit a cage effect in Dextran Sulfate Sodium-induced inflammation. Our results argue that while there are long-term effects of the founding community, these effects are mitigated by cage microenvironment and successional community assembly over time, which must both be explicitly considered in the interpretation of microbiome mouse experiments.     

Population structure and physiological changes within a hot spring microbial mat community following disturbance.

The influence of disturbance on a hot spring cyanobacterial mat community was investigated by physically removing the top 3.0 mm, which included the entire cyanobacterial layer. Changes in 16S rRNA-defined populations were monitored by denaturing gradient gel electrophoresis analysis of PCR-amplified 16S rRNA gene segments. Some previously absent cyanobacterial populations colonized the disturbed areas, while some populations which were present before the disturbance remained absent for up to 40 days. Changes in physiological activity were measured by oxygen microelectrode analyses and by 14CO2 incorporation into cyanobacterial molecular components. These investigations indicated substantial differences between the disturbed and undisturbed mats, including an unexplained light-induced oxygen consumption in the freshly exposed mat, increased carbon partitioning by phototrophs into growth-related macromolecules, bimodal vertical photosynthesis profiles, and delayed recovery of respiration relative to photosynthesis.     

Soil microbial biomass and community composition along an anthropogenic disturbance gradient within a long-leaf pine habitat

Some of the finest surviving natural habitat in the United States is on military reservations where land has been protected from development. However, responsibilities of military training often require disturbance of that habitat. Herein, we show how the soil microbial community of a long-leaf pine ecosystem at Fort Benning, Georgia responds to military traffic disturbances. Using the soil microbial biomass and community composition as ecological indicators, reproducible changes showed increasing traffic disturbance decreases soil viable biomass, biomarkers for microeukaryotes and Gram-negative bacteria, while increasing the proportions of aerobic Gram-positive bacterial and Actinomycete biomarkers. Soil samples were obtained from four levels of military traffic (reference, light, moderate, and heavy) with an additional set of samples taken from previously damaged areas that were remediated via planting of trees and ground cover. Utilizing 17 phospholipid fatty acid (PLFA) variables that differed significantly with land usage, a linear discriminant analysis with cross-validation classified the four groups. Wilks’ lambda for the model was 0.032 (P<0.001). Overall, the correct classifications of profiles was 66% (compared to the chance that 25% would be correctly classified). Using this model, 10 observations taken from the remediated transects were classified. One observation was classified as a reference, three as light trafficked, and six as moderately trafficked. Non-linear artificial neural network (ANN) discriminant analysis was performed using the biomass estimates and all of the 61 PLFA variables. The resulting optimal ANN included five hidden nodes and resulted in an r² of 0.97. The prediction rate of profiles for this model was again 66%, and the 10 observations taken from the remediated transects were classified with four as reference (not impacted), two as moderate, and four as heavily trafficked. Although the ANN included more comprehensive data, it classified eight of the 10 remediated transects at the usage extremes (reference or heavy traffic). Inspection of the novelty indexes from the prediction outputs showed that the input vectors from the remediated transects were very different from the data used to train the ANN. This difference suggests as a soil is remediated it does not escalate through states of succession in the same way as it descends following disturbance. We propose to explore this hysteresis between disturbance and recovery process as a predictor of the resilience of the microbial community to repeated disturbance/recovery cycles.     

Chitinase and changes of microbial community in soil

Enrichment of soil with chitin (0.6%) significantly stimulated growth of chitinolytic microorganisms (the relative proportion was increased from 1.7 to 26.5%) and the formation of chitinase in soil. In a soil enriched with chitin and glucose (0.6%), the proportion of chitinolytic microorganisms remained similar to that in the nonenriched soil (1.4%), the enzyme formation was negatively affected.     

Eutrophication as a driver of microbial community structure in lake sediments

Lake sediments are globally important carbon sinks. Although the fate of organic carbon in lake sediments depends significantly on microorganisms, only few studies have investigated controls on lake sedimentary microbial communities. Here we investigate the impact of anthropogenic eutrophication, which affects redox chemistry and organic matter (OM) sources in sediments, on microbial communities across five lakes in central Switzerland. Lipid biomarkers and distributions of microbial respiration reactions indicate strong increases in aquatic OM contributions and microbial activity with increasing trophic state. Across all lakes, 16S rRNA genes analyses indicate similar depth-dependent zonations at the phylum- and class-level that follow vertical distributions of OM sources and respiration reactions. Yet, there are notable differences, such as higher abundances of nitrifying Bacteria and Archaea in an oligotrophic lake. Furthermore, analyses at the order-level and below suggest that changes in OM sources due to eutrophication cause permanent changes in bacterial community structure. By contrast, archaeal communities are differentiated according to trophic state in recently deposited layers, but converge in older sediments deposited under different trophic regimes. Our study indicates an important role for trophic state in driving lacustrine sediment microbial communities and reveals fundamental differences in the temporal responses of sediment Bacteria and Archaea to eutrophication.     

荒漠-绿洲土壤微生物群落组成与其活性对比

结合野外观测与实验室研究方法,对比研究了准葛尔盆地南缘盐生荒漠与绿洲农田土壤微生物活性与其群落组成的变化特征,并分析了土壤温度与湿度对荒漠-绿洲土壤微生物活性的影响。结果表明:荒漠开垦为绿洲后,土壤细菌明显增加,真菌无明显变化,放线菌显著减少。细菌在绿洲农田土壤矿化作用中占主导,真菌则在荒漠中占优势,绿洲农田土壤微生物活性(包括真菌与细菌活性)明显高于荒漠。温度对荒漠-绿洲土壤微生物活性的影响只在一定土壤湿度范围内作用显著,绿洲农田受其影响较大;荒漠有机质含量明显高于绿洲农田,但水分与盐分因素抑制了微生物对其的分解和矿化。不同土地利用方式导致了荒漠绿洲间土壤湿度及盐份的较大差异,加之与土壤温度极显著的交互作用,使得开垦后土壤有机碳的易得性增强,微生物群落结构发生显著改变,进而有机碳的矿化速率加快,土壤碳库随之消减。     

Spatial scale impacts microbial community composition and distribution within and across stream ecosystems in North and Central America

A mechanistic understanding of factors that structure spatiotemporal community composition is a major challenge in microbial ecology. Our study of microbial communities in the headwaters of three freshwater stream networks showed significant community changes at the small spatial scale of benthic habitats when compared to changes at mid- and large-spatial scales associated with stream order and catchment. Catchment (which included temperate and tropical catchments) had the strongest influence on community composition followed by habitat type (epipsammon or epilithon) and stream orders. Alpha diversity of benthic microbiomes resulted from interactions between catchment, habitat, and canopy. Epilithon contained relatively more Cyanobacteria and algae while Acidobacteria and Actinobacteria proportions were higher in epipsammic habitats. Turnover from replacement created ~60%–95% of beta diversity differences among habitats, stream orders, and catchments. Turnover within a habitat type generally decreased downstream indicating longitudinal linkages in stream networks while between habitat turnover also shaped benthic microbial community assembly. Our study suggests that factors influencing microbial community composition shift in dominance across spatial scales, with habitat dominating locally and catchment dominating globally.     

基于PCR-DGGE技术的红树林区微生物群落结构

【目的】为了解红树林沉积物中细菌的群落结构特征。【方法】应用PCR-DGGE技术对福建浮宫红树林的16个采样站位样品细菌的群落结构进行了研究。根据DGGE指纹图谱,对它们的遗传多样性进行了分析。【结果】各站位样品细菌多样性指数(H)、丰度(S)和均匀度(EH)均有所不同,这些差异与它们所处站位的不同有关,红树林区细菌多样性高于非红树林区细菌多样性。对不同站位细菌群落相似性分析,它们的相似性系数也存在一定的规律,同一断面的细菌群落结构相近性较高。对DGGE的优势条带序列分析,同源性最高的微生物分别属于变形菌门(Proteobacteria)、酸菌门(Acidobacteria)和绿菌门(Chlorobi),它们均为未培养微生物,分别来自于河口海岸沉积物。【结论】应用PCR-DGGE技术更能客观地反映红树林沉积物中真实的细菌群落结构信息。另外,研究也表明红树林区微生物多样性丰富,在红树林区研究开发未知微生物资源具有巨大的潜力。