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48 results for “microbial community structure”
Data from: Leaf litter diversity and structure of microbial decomposer communities modulate litter decomposition in aquatic systems
1. Leaf litter decomposition is a major ecosystem process that can link aquatic to terrestrial ecosystems by flows of nutrients. Biodiversity and ecosystem functioning research hypothesizes that the global loss of species leads to impaired decomposition rates and thus to slower recycling of nutrients. Especially in aquatic systems an understanding of diversity effects on litter decomposition is still incomplete. 2. Here we conducted an experiment to test two main factors associated with global species loss that might influence leaf litter decomposition. Firstly, we tested whether mixing different leaf species alters litter decomposition rates compared to decomposition of these species in monoculture. Secondly, we tested the effect of the size structure of a lotic decomposer community on decomposition rates. 3. Overall, leaf litter identity strongly affected decomposition rates, and the observed decomposition rates matched measures of metabolic activity and microbial abundances. While we found some evidence of a positive leaf litter diversity effect on decomposition, this effect was not coherent across all litter combinations and the effect was generally additive and not synergistic. 4. Microbial communities, with a reduced functional and trophic complexity, showed a small but significant overall reduction in decomposition rates compared to communities with the naturally complete functional and trophic complexity, highlighting the importance of a complete microbial community on ecosystem functioning. 5. Our results suggest that top-down diversity effects of the decomposer community on litter decomposition in aquatic systems are of comparable importance as bottom-up diversity effects of primary producers.
Data from: Melanization of mycorrhizal fungal necromass structures microbial decomposer communities
Mycorrhizal fungal necromass is increasingly recognized as an important contributor to soil organic carbon pools, particularly in forest ecosystems. While its decomposition rate is primarily determined by biochemical composition, how traits such as melanin content affect the structure of necromass decomposer communities remains poorly understood. To assess the role of biochemical traits on microbial decomposer community composition and functioning, we incubated melanized and non-melanized necromass of the mycorrhizal fungus Meliniomyces bicolor in Pinus- and Quercus-dominated forests in Minnesota, USA and then assessed the associated fungal and bacterial decomposer communities after 1, 2 and 3 months using high-throughput sequencing. Melanized necromass decomposed significantly slower than non-melanized necromass in both forests. The structure of the microbial decomposer communities depended significantly on necromass melanin content, although the effect was stronger for fungi than bacteria. On non-melanized necromass, fungal communities were dominated by r-selected ascomycete and mucoromycete microfungi early and then replaced by basidiomycete ectomycorrhizal fungi, while on melanized necromass these groups were co-dominant throughout the incubation. Bacterial communities were dominated by both specialist mycophageous and generalist taxa. Synthesis. Our results indicate that necromass biochemistry not only strongly affects rates of decomposition but also the structure of the associated decomposer communities. Furthermore, the observed colonization patterns suggest that fungi, and particularly ectomycorrhizal fungi, may play a more important role in necromass decomposition than previously recognized.
Data from: Soil abiotic variables are more important than Salicaceae phylogeny or habitat specialization in determining soil microbial community structure
Predicting the outcome of interspecific interactions is a central goal in ecology. The diverse soil microbes that interact with plants are shaped by different aspects of plant identity, such as phylogenetic history and functional group. Species interactions may also be strongly shaped by abiotic environment, but there is mixed evidence on the relative importance of environment, plant identity, and their interactions in shaping soil microbial communities. Using a multi-factor, split-plot field experiment, we tested how hydrologic context, and three facets of Salicaceae plant identity - habitat specialization, phylogenetic distance, and species identity - influence soil microbial community structure. Analysis of microbial community sequencing data with generalized dissimilarity models showed that abiotic environment explained up to 25% of variation in community composition of soil bacteria, fungi, and archaea, while Salicaceae identity influenced less than 1% of the variation in community composition of soil microbial taxa. Multivariate linear models indicated that the influence of Salicaceae identity was small, but did contribute to differentiation of soil microbes within treatments. Moreover, results from a microbial niche breadth analysis show that soil microbes in wetlands have more specialized host associations than soil microbes in drier environments - showing that abiotic environment changed how plant identity correlated with soil microbial communities. This study demonstrates the predominance of major abiotic factors in shaping soil microbial community structure; the significance of abiotic context to biotic influence on soil microbes; and the utility of field experiments to disentangling the abiotic and biotic factors that are thought to be most essential for soil microbial communities.
Metagenomic insights into microbial community structure and metabolism in alpine permafrost on the Tibetan Plateau
<h1>Microbes in Tibetan permafrost</h1> <p> </p> <blockquote> <p>This project repository associated with the following manuscript:</p> </blockquote> <ul> <li>Luyao Kang, Yutong Song, Rachel Mackelprang, Dianye Zhang, Shuqi Qin, Leiyi Chen, Linwei Wu, Yunfeng Peng and Yuanhe Yang*. Metagenomic insights into microbial community structure and metabolism in alpine permafrost on the Tibetan Plateau.</li> </ul> <h2>Abstract</h2> <p><span> Permafrost, characterized by its frozen soil, serves as a unique habitat for diverse microorganisms. Understanding these microbial communities is crucial for predicting the response of permafrost ecosystems to climate change. However, large-scale evidence regarding stratigraphic variations in microbial profiles remains limited. Here, we analyze microbial community structure and functional potential based on 16S <em>rRNA</em> gene amplicon sequencing and metagenomic data obtained from a </span><span>∼</span><span>1,000 km permafrost transect on the Tibetan Plateau. We find that microbial alpha diversity declines but beta diversity increases down the soil profile. Microbial assemblages are primarily governed by dispersal limitation and drift; the importance of drift decreases but that of dispersal limitation increases with soil depth. Moreover, genes related to reduction reactions (<em>e.g.</em>, ferric iron reduction, dissimilatory nitrate reduction, and denitrification) are enriched in the subsurface and permafrost layers. In addition, microbial groups involved in alternative electron accepting processes are more diverse and contribute highly to community-level metabolic profiles in the subsurface and permafrost layers, likely reflecting the lower redox potential and more complicated trophic strategies for microorganisms in deeper soils. Overall, these findings provide comprehensive insights into large-scale stratigraphic profiles of microbial community structure and functional potentials in permafrost regions.</span></p> <p> For the description of the files, please see README.md file.</p>
Relative abundance tables for bacterial species, pathways, ARGs, and VFGs in "Gut Microbial Community Structure, Metabolic Signature, and Resistome in Dyslipidemia: Insights from Metagenomic Sequencing"
<p>Dyslipidemia, characterized by abnormal blood lipid levels, is a significant risk factor for cardiovascular disease. Emerging evidence suggests that the gut microbiota plays a role in lipid metabolism, although findings across studies have varied. In this study, we analyzed the gut microbiota, metabolic pathways, predicted gut metabolites, and resistome in 1384 participants (895 with dyslipidemia cases and 489 controls) using shotgun metagenomic sequencing. Our results revealed that Bacteroides caccae was enriched in dyslipidemia cases, potentially contributing to inflammation and altered lipid metabolism, while Coprococcus eutactus and Coprococcus catus, known producers of short-chain fatty acids (SCFAs) in lipid regulation, and Blautia obeum, known to be positively impacted by SCFAs, were more abundant in controls. We also identified an enrichment of the dTDP-beta-D-fucofuranose biosynthesis pathway gene family, which is linked to bacterial pathogenicity, in dyslipidemia cases, with Bacteroides stercoris contributing strongly. Dyslipidemia cases exhibited depleted glycogen and peptidoglycan biosynthesis pathways, potentially impairing energy storage and immune function, alongside distinct metabolic profiles, including decreased pseudouridine, which may affect RNA metabolism. Furthermore, we observed a higher abundance of antibiotic-resistance genes, particularly tetQ, in dyslipidemia cases, suggesting a link between gut resistome and metabolic disorders. These findings provide new insights into how dysbiosis of the gut microbiota may contribute to the pathophysiology of dyslipidemia, offering potential avenues for microbiome-based interventions in personalized medicine.</p>
Changes in microbial community structure and functioning with elevation are linked to local soil characteristics as well as climatic variables
<p>Mountain forests are important carbon stocks but are threatened by increased insect outbreaks and climate driven forest conversion. Soil microorganisms play an eminent role in nutrient cycling in forests and form the basis of soil food webs. Uncovering the driving factors shaping microbial communities and functioning at mountainsides worldwide is of importance to better understand their dynamics at local and global scales. We investigated microbial communities and their drivers along an elevational gradient of primary forests at Changbai Mountain, China. We analysed substrate-induced respiration and phospholipid fatty acids (PLFA) in litter and two soil layers at seven sites. In the litter layer the increase in microbial biomass (Cmic) as well as in stress indicator ratios with elevation were negatively correlated with Ca concentrations indicating increased nutritional stress in high microbial biomass communities at sites with lower Ca availability. PLFA profiles in litter separated low and high elevations, this was less pronounced in soil, suggesting that leaflitter functions as buffer for soil microbial communities. Annual variations in temperature correlated with PLFA profiles in all layers, while annual variations in precipitation correlated with PLFA profiles in upper soil only. Furthermore, the availability of resources, soil moisture, Ca concentrations and pH structured the microbial communities. Pronounced changes in Cmic and stress indicator ratios in the litter layer between pine dominated (800 – 1100 m) and spruce dominated (1250 – 1700 m) forests indicated a shift in the structure and functioning of microbial communities between forest types. The study highlights strong changes in microbial community structure and functioning along elevational gradients, but also shows that these changes and their driving factors vary between layers. Besides annual variations in temperature and precipitation, carbon accumulation and nitrogen acquisition shape changes in microbial communities with elevation at Changbai Mountain.</p>
Data from: Distinctive microbial community and genome structure in coastal seawater from a human-made port and nearby offshore island in northern Taiwan facing the Northwestern Pacific Ocean
<p><span>Pollution in human-made fishing ports caused by petroleum </span><span>from</span><span> boats, dead fish, toxic </span><span>chemicals</span><span>, and effluent </span><span>poses</span><span> a challenge to the organisms in seawater. To decipher the impact of pollution on the microbiome, we collected surface water </span><span>from</span><span> a fishing port and a nearby offshore island in northern Taiwan facing the </span><span>Northwestern Pacific Ocean. By employing 16S </span><span>rRNA gene</span><span> amplicon sequencing and whole-genome shotgun sequencing, we discovered that </span><span>Rhodobacteraceae, Vibrionaceae, and Oceanospirillaceae emerged as the dominant species in the fishing port</span><span>,</span><span> where we found many genes harboring the functions of </span><span>antibiotic</span><span> resistance (</span><span>ansamycin, nitroimidazole, and aminocoumarin), metal tolerance (copper, chromium, iron and multimetal), virulence factors (chemotaxis, flagella, T3SS1), carbohydrate metabolism (biofilm formation and remodeling of bacterial cell </span><span>walls</span><span>), nitrogen metabolism (denitrification, N<sub>2</sub> fixation, and ammonium assimilation), and ABC transporters (phosphate, lipopolysaccharide, and branched-chain amino </span><span>acids</span><span>). The dominant bacteria at the nearby offshore island (</span><span>Alteromonadaceae, Cryomorphaceae, Flavobacteriaceae, Litoricolaceae, and Rhodobacteraceae) were partly similar to those in the South China Sea and the East China Sea. Furthermore, we inferred</span><span> that</span><span> the microbial community network of </span><span>the cooccurrence</span><span> of dominant bacteria </span><span>on the</span><span> offshore island was connected to dominant bacteria in </span><span>the </span><span>fishing port by mutual</span> <span>exclusion. By examining the assembled microbial genomes collected from the coastal seawater of the fishing port, we revealed four genomic islands containing large gene-containing sequences</span><span>,</span><span> including phage integrase, DNA</span> <span>invertase, restriction enzyme, DNA gyrase inhibitor, and antitoxin HigA-1.</span><span> In this study, </span><span>we provided </span><span>clues </span><span>for the possibility of genomic islands as the units of horizontal transfer and as the tools of microbes for facilitating adaptation in a human-made port environment.</span></p>
Data from: Distinctive microbial community and genome structure in coastal seawater from a human-made port and nearby offshore island in northern Taiwan facing the Northwestern Pacific Ocean
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Data from: Peatland vascular plant functional types affect methane dynamics by altering microbial community structure
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Data from: Soil abiotic variables are more important than Salicaceae phylogeny or habitat specialization in determining soil microbial community structure
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Data from: Melanization of mycorrhizal fungal necromass structures microbial decomposer communities
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Data from: Leaf litter diversity and structure of microbial decomposer communities modulate litter decomposition in aquatic systems
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Data from: Do invasive plants structure microbial communities to accelerate decomposition in intermountain grasslands?
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Microbial community structure across grazing treatments and environmental gradients in the Serengeti
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Data from: Sequence clustering threshold has little effect on the recovery of microbial community structure
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A dataset of plant and microbial community structure after long-term grazing and mowing in a semiarid steppe
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Changes in microbial community structure and functioning with elevation are linked to local soil characteristics as well as climatic variables
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Data from: Grazing and nitrogen addition restructure the spatial heterogeneity of soil microbial community structure and enzymatic activities
<p>1. In grassland ecosystems, large herbivorous animal grazing activity and increasing nitrogen deposition strongly alters microbial community structure and function. Understanding the effects of grazing and nitrogen addition on the spatial heterogeneity in soil microbial community structure, enzymatic activities and the underlying mechanisms are crucial for making better predictions of soil organic matter dynamics and nutrient cycling. </p> <p>2. We examined the spatial heterogeneity of soil microbial community structure and enzymatic activity associated with changes in soil microclimate, soil characteristics, plant biomass and soil nutrient responses to grazing and nitrogen addition using a manipulative experiment with control (CK), grazing (G), nitrogen addition (N) and grazing plus nitrogen addition (NG) treatments in a <i>Leymus chinensis </i>meadow steppe, in northeastern China. </p> <p>3. The results demonstrated that soil microbial community structure and enzymatic activities showed a high level of spatial dependence [C/(C + C0)≥0.9] in the CK plot. G, N and NG treatments not only reduced the spatial variability ofsoil microbial community structure and enzymatic activities, but also reshaped the spatial links between enzymes activities and microbial community structure. Litter biomass, soil temperature and soil nutrients (soil dissolved inorganic nitrogen or soil dissolved organic carbon) explained 21-27% of the spatial variability of soil microbial community structure in the CK treatment and pH was the strongest driver for the spatial variability of soil enzymatic activities. Meanwhile, the homogenization in soil water content induced by the N addition treatment was a determinant of the reduction in spatial heterogeneity of the microbial community structure. The combination of soil physicochemical properties (bulk density, soil pH and soil dissolved inorganic nitrogen), soil temperature and root biomass explained 32-43% of the spatial variability of the microbial community structure in the G treatment, and N and G treatments had additive effects on the spatial heterogeneity of total PLFAs by homogenizing root biomass. Plant biomass and microbial community structure were the major drivers for the spatial heterogeneity of enzymatic activities under G, N and NG. In NG, the change in spatial variability of enzymatic activities was dominated by N addition. Regardless of grazing, N addition facilitated the spatial correlation between microbial community structure and enzyme activities. </p> <p>4. Overall, our results revealed the drivers of soil microbial community structure and enzymatic activities spatial pattern shift due to grazing and N addition, highlighting the role that spatial variability in soil microbial community structure and enzymatic activities has on the <i>L. chinensis</i> meadow steppe.</p>
Dataset from Gut Microbial Community Structure, Metabolic Signature, and Resistome in Dyslipidemia: Implications for Cardiovascular Disease Management
<p>Dataset from Gut Microbial Community Structure, Metabolic Signature, and Resistome in Dyslipidemia: Implications for Cardiovascular Disease Management</p>
Data from: Grazing and nitrogen addition restructure the spatial heterogeneity of soil microbial community structure and enzymatic activities
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International Brain Laboratory public data
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OpenNeuro
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