Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 289 - 297
Published: Jan. 1, 2024
Language: Английский
Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 289 - 297
Published: Jan. 1, 2024
Language: Английский
Functional Ecology, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 15, 2025
Abstract Scientific theory largely neglects linkage between organic phosphorus (Po) mineralization rate and dispersal potential of alkaline phosphatase‐encoding bacteria (PEB) containing the phoD gene. Different densities substrates (i.e. compacted soils, culture media, soil aggregates) were prepared molecular tools used to unveil relationship PEB Po rate. According morphological observations ecological studies, we found that stronger ensured a higher Higher rates in microaggregates than macroaggregates silt + clay, was related closely P fractions distributed heterogeneously aggregates. The gene abundance notably correlated with rate, rare mediated mineralization. Bradyrhizobium as identified genus dominated dramatically heterogeneous community, stochasticity (70.5%–89.5%) affected more on community assemblages PEB. showed other aggregates, indicated by weaker stability, species replacement, migration lower environmental constraint broader niche breadth. Overall, our results emphasize ensure these findings broaden understanding how maintain landscape function soils. Read free Plain Language Summary for this article Journal blog.
Language: Английский
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1Environmental Research, Journal Year: 2025, Volume and Issue: unknown, P. 120903 - 120903
Published: Jan. 1, 2025
Language: Английский
Citations
1Water Research, Journal Year: 2023, Volume and Issue: 243, P. 120344 - 120344
Published: July 13, 2023
Language: Английский
Citations
19mLife, Journal Year: 2023, Volume and Issue: 2(1), P. 89 - 100
Published: March 1, 2023
Deciphering biogeographic patterns of microorganisms is important for evaluating the maintenance microbial diversity with respect to ecosystem functions they drives. However, ecological processes shaping distribution across large spatial-scale watersheds remain largely unknown. Using Illumina sequencing and multiple statistical methods, we characterized (i.e., archaea, bacteria, fungi) in soils sediments along Yangtze River. Distinct were found between sediments, community similarity significantly decreased increasing geographical distance. Physicochemical properties showed a larger effect on composition than geospatial climatic factors. Archaea fungi displayed stronger species replacements weaker environmental constraints that but opposite bacteria. Archaea, broader breadths phylogenetic signals compared those suggesting adaptation. Stochasticity dominated assemblies archaea whereas determinism bacterial assembly. Our results have therefore highlighted distinct mechanisms emphasized roles replacement, adaptability, assembly landscape. findings are helpful predicting loss River Basin, might assist establishment policies protecting fragile watersheds.
Language: Английский
Citations
17mLife, Journal Year: 2024, Volume and Issue: 3(1), P. 21 - 41
Published: March 1, 2024
Abstract The incredibly complex soil microbial communities at small scales make their analysis and identification of reasons for the observed structures challenging. Microbial community structure is mainly a result inoculum (dispersal), selective advantages those organisms under habitat‐based environmental attributes, ability colonizers to sustain themselves over time. Since protective, its inhabitants have long adapted varied conditions, significant portions are likely stable. Hence, substantial portion will not correlate often measured attributes. We suggest that drivers be ranked on basis importance fundamental needs microbes: (i) supply energy, i.e., organic carbon electron acceptors; (ii) effectors or stressors, pH, salt, drought, toxic chemicals; (iii) macro‐organism associations, plants seasonality, animals fecal matter, fauna; (iv) nutrients, in order, N, P, probably lesser importance, other micronutrients, metals. relevance also varies with spatial time scales, example, aggregate field regional, persistent dynamic populations transcripts, extent phylogenetic difference, hence phenotypic differences organismal groups. present summary matrix provide guidance which important particular studies, special emphasis wide range temporal illustrate this genomic population (rRNA gene) data from selected studies.
Language: Английский
Citations
8Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112545 - 112545
Published: Aug. 28, 2024
Language: Английский
Citations
6Frontiers in Microbiology, Journal Year: 2025, Volume and Issue: 16
Published: March 7, 2025
Background Swine represent one of the most economically significant livestock worldwide, and their intestinal microbial communities are crucial for maintaining physiological development regulating host metabolism. While extensive research has focused on fecal microbiota swine, investigations into across different segments remain limited. Objective This study aims to elucidate swine by analyzing luminal contents from segments, including duodenum, jejunum, ileum, cecum, colon. Methods We employed 16S rRNA sequencing explore diversity structure gut biogeography, functional niches, associated pathways. Results Our findings reveal significantly lower richness in small intestine (duodenum, ileum) compared large (cecum colon) ( p < 0.05). At phylum level, Firmicutes, Actinobacteria, Proteobacteria, Bacteroidetes were dominant phyla, collectively accounting over 90% total sequences. In intestine, Proteobacteria (4.76–34.2%), Fusobacteriota more abundant, whereas Firmicutes (89.8–90.4%) was predominated. genus Fusobacterium , Corynebacterium Rothia Bradyrhizobium Brevundimonas predominant duodenum. Romboutsia Clostridium_sensu_stricto_1 Terrisporobacter Jeotgalicoccus demonstrated greater abundances jejunum ileum. Oscillospiraceae_UCG-005 cecum Christensenellaceae_R-7_group colon abundant with 16.4 20.2% relative abundances, respectively. The specialists detected duodenum all genera each segment relatively higher abundance. For instance, (3.06–36.1%), (5.31–18.6%), (0.849–5.72%) enriched pathways Amino acid metabolism Lipid Conversely, (16.4%, 4.06%) (5.44%, 20.2%) within linked involved Glycan biosynthesis pathway, as well Biosynthesis other secondary metabolites. Conclusion These highlight importance generalists. provide essential data assessing role microbiome enhancing health productivity, offering fundamental guidance further exploration host-microbe interaction mechanisms regulatory
Language: Английский
Citations
0Environmental Research, Journal Year: 2025, Volume and Issue: unknown, P. 121378 - 121378
Published: March 1, 2025
Language: Английский
Citations
0Environmental Research, Journal Year: 2025, Volume and Issue: unknown, P. 120832 - 120832
Published: Jan. 1, 2025
Language: Английский
Citations
0Microorganisms, Journal Year: 2025, Volume and Issue: 13(2), P. 319 - 319
Published: Feb. 1, 2025
Microorganisms are instrumental in river ecosystems and participate biogeochemical cycles. It is thought that dynamic hydrological processes rivers influence microbial community assembly, but the seasonal succession assembly of sediments on Loess Plateau remain unclear. This study used high-throughput sequencing technology (16S ITS) neutral model to analyze associated with communities Dali River, a tributary Yellow River Plateau. The results showed sediment bacterial fungal diversity indexes non-flood season were 1.03–3.15 times greater than those flood season. There obvious variations between seasons microorganisms. similarities among all, abundant, rare decreased as geographical distance increased. Proteobacteria (52.5–99.6%) Ascomycota (22.0–34.2%) primary phyla communities. Sediment ammonia nitrogen, water temperature, organic carbon significantly affected (p < 0.05) structure microorganism ecological networks for had complex topological parameters. was driven by deterministic processes, while dominated stochastic processes. These expanded understanding about characteristics provided insights into factors driving networks.
Language: Английский
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