Cell Systems, Journal Year: 2024, Volume and Issue: 15(9), P. 838 - 853.e13
Published: Sept. 1, 2024
Language: Английский
Cell Systems, Journal Year: 2024, Volume and Issue: 15(9), P. 838 - 853.e13
Published: Sept. 1, 2024
Language: Английский
The ISME Journal, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 24, 2025
Language: Английский
Citations
1Nature Communications, Journal Year: 2025, Volume and Issue: 16(1)
Published: Jan. 14, 2025
Language: Английский
Citations
0Biotechnology for Biofuels and Bioproducts, Journal Year: 2025, Volume and Issue: 18(1)
Published: Jan. 18, 2025
Coastal wetlands are rich in terrestrial organic carbon. Recent studies suggest that microbial consortia play a role lignin degradation coastal wetlands, where turnover rates likely underestimated. However, the metabolic potentials of these remain elusive. This greatly hinders our understanding global carbon cycle and "bottom-up" design synthetic to enhance conversion. Here, we developed two groups degrading consortia, L6 L18, through 6- 18-month situ enrichments East China Sea, respectively. Lignin by L18 was 3.6-fold higher than L6. Using read-based analysis, 16S rRNA amplicon metagenomic sequencing suggested possessed varied taxonomic compositions, yet similar functional traits. Further comparative based on assembly, revealed harbored abundant metagenome-assembled genomes (MAGs) encoded diverse unique gene clusters (LDGCs). Importantly, anaerobic MAGs were significantly enriched highlighting degradation. Furthermore, generalist taxa, which possess flexibility, increased during extended enrichment period, indicating advantage generalists adapting heterogenous resources. study advances strategies prokaryotic lays foundation for communities sustainable lignocellulose biorefining.
Language: Английский
Citations
0bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 30, 2025
Microbial communities experience environmental fluctuations across timescales from rapid changes in moisture, temperature, or light levels to long-term seasonal climactic variations. Understanding how microbial populations respond these is critical for predicting the impact of perturbations, interventions, and climate change on communities. Since typically harbor tens hundreds distinct taxa, response abundances perturbations potentially complex. However, while taxonomic diversity high, many taxa can be grouped into functional guilds strains with similar metabolic traits. These effectively reduce complexity system by providing a physiologically motivated coarse-graining. Here, using combination simulations, theory, experiments, we show that nutrient depends timescale those fluctuations. Rapid drive cohesive, positively correlated abundance dynamics within guilds. For slower variation, members guild begin compete due resource preferences, driving negative correlations between same guild. Our results provide route understanding relationship community changing environments, as well an experimental approach discovering via designed
Language: Английский
Citations
0Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 5, 2025
Language: Английский
Citations
0PRX Life, Journal Year: 2025, Volume and Issue: 3(1)
Published: Feb. 13, 2025
How ecosystems respond to environmental perturbations is a fundamental question in ecology, made especially challenging due the strong coupling between species and their environment. Here, we introduce theoretical framework for calculating steady-state response of generalized consumer-resource models. Our construction applicable wide class systems, including models with nonreciprocal interactions, cross-feeding, nonlinear growth/consumption rates. Within our framework, all ecological variables are embedded into four distinct vector spaces, interactions represented by geometric transformations these spaces. We show that, near steady state, such directly map perturbations—in resource availability mortality rates—to shifts niche structure. illustrate ideas variety settings minimal model pH-induced toxicity bacterial denitrification. end discussing biological implications framework. that it extremely difficult distinguish cooperative competitive measuring responses external perturbations. Published American Physical Society 2025
Language: Английский
Citations
0Frontiers in Synthetic Biology, Journal Year: 2025, Volume and Issue: 3
Published: March 18, 2025
Microbial communities are able to carry out myriad functions of biotechnological interest, ranging from the degradation industrial waste synthesis valuable chemical products. Over past years, several strategies have emerged for design microbial and optimization their functions. Here we provide an accessible overview these strategies. We highlight how principles synthetic biology, originally devised engineering individual organisms sub-organismal units (e.g., enzymes), influenced development field ecology. With this, aim encourage readers critically evaluate insights biology should guide our approach community-level engineering.
Language: Английский
Citations
0Food Reviews International, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 36
Published: April 3, 2025
Language: Английский
Citations
0Korean Journal of Chemical Engineering, Journal Year: 2025, Volume and Issue: unknown
Published: April 3, 2025
Language: Английский
Citations
0Proceedings of the National Academy of Sciences, Journal Year: 2025, Volume and Issue: 122(16)
Published: April 17, 2025
Microbial ecosystems are commonly modeled by fixed interactions between species in steady exponential growth states. However, microbes often modify their environments so strongly that they forced out of the state into stressed, nongrowing Such dynamics typical ecological succession nature and serial-dilution cycles laboratory. Here, we introduce a phenomenological model, Community State Model, to gain insight dynamic coexistence due changes physiological states during cyclic succession. Our model specifies preference each along global coordinate, taken be biomass density community, but is otherwise agnostic specific (e.g., nutrient starvation, stress, aggregation), order focus on self-consistency conditions combinations states, “community states,” stable ecosystem. We identify three key features such dynamical communities contrast starkly with steady-state communities: enhanced community stability through staggered dominance different increased tolerance diversity fast growing dominating distinct requirement late-growing species. These features, derived explicitly for simplified models, proposed here as principles aiding understanding complex communities. shifts ecosystem from bottom–up studies based fixed, idealized interspecies interaction top–down accessible macroscopic observables rates total density, enabling quantitative examination community-wide characteristics.
Language: Английский
Citations
0