Metabolic interdependencies in thermophilic communities are revealed using co-occurrence and complementarity networks

Stable isotope probing and oligotyping reveal the impact of organophosphorus pesticides on the carbon fixation related bacterioplankton lineage

Freshwater bacterioplankton communities play a pivotal role in global carbon fixation and energy exchange. However, establishing direct linkages between environmental stressors like organophosphorus pesticides (OPPs) and the ecological functions, such as carbon-fixing related microorganisms (CFMs), remains challenging. This study investigated the effects of four OPPs - two phosphates (dichlorvos, monocrotophos) and two phosphorothioates (omethoate, parathion) - on bacterioplankton communities using stable isotope probing, high-throughput sequencing and oligotyping analysis. Seven CFMs were identified. All OPPs significantly reduced total biomass (from 7.87 ×104 to 2.30-4.11 ×104 cells/mL) but stimulated CFMs proliferation. Notably, phosphorothioates induced a greater increase in CFMs abundance (36.84 %-57.18 %, up from 21.1 %) compared to phosphates (23.85 %-37.10 %; p < 0.05). Principal coordinate analysis (PCoA) revealed that phosphorothioates exerted stronger effects on microbial community and CFMs oligotypes structure compared to phosphates (p < 0.05). Variance partitioning analysis (VPA) identified pesticide type as the dominant driver of community structure. PICRUSt2 prediction demonstrated that OPPs suppressed oxidoreductase pathways linked to energy metabolism while activating transferase pathways associated with microbial stress resistance. Phosphorothioates depleted 64 pathways and enhanced 208 pathways, far exceeding phosphate impacts (2 depleted, 22 enhanced), indicating the phosphorothioates played a more important role on bacterioplankton communities than phosphate. Additionally, OPPs exposure reduced functional redundancy and destabilized community stability in bacterioplankton, potentially granting CFMs a long-term competitive advantage and elevating algal bloom risks. These findings provide insights into active CFMs in aquatic systems and their responses to diverse OPPs, offering new perspectives for managing organophosphorus pesticide contamination.

Characteristics of microbial carbon pump in the sediment of kelp aquaculture zone and its contribution to recalcitrant dissolved organic carbon turnover: insights into metabolic patterns and ecological functions

The study delves into the microbial carbon pump (MCP) within the sediments of kelp aquaculture zones, focusing on its influence on the turnover of recalcitrant dissolved organic carbon (RDOC). Following kelp harvest, significant alterations in the microbial community structure were noted, with a decrease in complexity and heterogeneity within co-occurrence networks potentially impacting RDOC production efficiency. Metabolic models constructed identified four key microbial lineages crucial for RDOC turnover, with their abundance observed to decrease post-harvest. Analysis of metabolic complementarity revealed that RDOC-degrading microorganisms exhibit broad substrate diversity and are engaged in specific resource exchange patterns, with cross-feeding interactions possibly enhancing the ecological efficiency of the MCP. Notably, the degradation of RDOC was found not to deplete the RDOC pool; as aromatic compounds break down, new ones are released into the environment, thus supporting the renewal of the RDOC pool. The research highlights the pivotal role of microbial communities in RDOC turnover and offers fresh insights into their cross-feeding behavior related to RDOC cycling, providing valuable data to support the future development and application of MCP theory.

Pre-biodrying enhanced lignin degradation to promote aromatic macromolecular humic acid formation in double-phase composting

A 24-h pre-biodrying phase was introduced in 10-d double-phase biodrying-enhanced composting (BEC) to accelerate the humification of kitchen waste by promoting the generation of phenolic-rich aromatic skeletons, key humic precursors for the lignin-protein and polyphenol pathways. To explore how biodrying promotes phenolic hydroxyl accumulation, macromolecule decomposition, particularly lignin, was investigated. Compared to day 9 of 15-d conventional bioaugmented mechanical composting (BMC) without pre-biodrying, BEC achieved 78.32 ± 15.96 % higher lignin degradation by day 9 (p < 0.001), with stronger correlations to humification indicators and greater explanatory power (91 %) for humic acid UV-vis indices than other macromolecules. Structural analysis showed enhanced lignin demethoxylation (minimum 3.92/Ar) and β-O-4 cleavage (minimum 51.69 %), increasing phenolic hydroxyl accumulation (maximum 4.34 mmol·g-1). Microbial analysis further revealed that oxygen availability, improved by frequent stirring and aeration during biodrying, enriched Bacillaceae and Issatchenkia, which accelerated bioheat generation and created thermophilic conditions favorable for Bacillus and Saccharomonospora capable of lignin demethoxylation (via vanAB, ligM) and β-O-4 cleavage (via ligD, ligL, ligE, ligF, ligG). High temperatures also enhanced microbial cooperation, enabling the lignin degraders to obtain nutrients, cofactors, and detoxification agents for basal metabolism and lignin degradation from Oceanobacillus, Gracilibacillus, Sinibacillus, Georgenia, Nigrospora, and Aspergillus, thereby reducing their metabolic burden and allowing them to focus on lignin degradation. This study is the first to unveil the humification mechanism during composting from the perspective of macromolecule decomposition, especially lignin, for the generation of phenolic-rich aromatic skeletons as key humic precursors, providing theoretical support for developing simple, effective strategies to accelerate composting.

Impaired denitrification of aerobic granules in response to micro/nanoplastic stress: Insights from interspecies interactions and electron transfer processes

The accumulation of micro/nanoplastics in wastewater significantly hinders denitrification in biological wastewater treatment systems, yet the intrinsic mechanisms are not fully understood. Herein, we combined signal molecule monitoring, electrochemical characterization and multi-omics analysis to investigate how quorum sensing (QS)-mediated microbial interactions influence denitrification in aerobic granular sludge systems. Results showed that after 90-day exposure to micro/nanoplastics, cross-talk between multiple signal molecules significantly declined, thereby disrupting the QS system to opportunely sense changes in the external environment. As a consequence of impaired QS, only 5 species exhibited up-regulation of the genes encoding amino acids and cofactors to sustain cross-feeding, while others, acting as "cheaters", relied on metabolites offered by cross-feeding but without reciprocating. This imbalance resulted in insufficient availability of metabolites, including redox-active metabolites such as riboflavin, and subsequently deteriorated the denitrification electron transfer process. Compared to the control group, the extracellular electron transfer capacity and denitrification electron transfer chain activity decreased to, respectively, 88.08 % and 63.33 % (microplastics-exposure) and 79.64 % and 63.75 % (nanoplastics-exposure), which directly contributed to the decline in nitrogen removal. Overall, this study provided deeper insights into the denitrification in complex microbial communities under the stress of micro/nanoplastics from the perspective of QS-mediated microbial social behavior.

Changes in the community composition and function of the rhizosphere microbiome in tobacco plants with Fusarium root rot

Introduction

Tobacco root rot caused by Fusarium spp. is a soil-borne vascular disease that severely affects tobacco production worldwide. To date, the community composition and functional shifts of the rhizosphere microbiome in tobacco plants infected with Fusarium root rot remain poorly understood.

Methods

In this study, we analyzed the differences in the compositions and functions of the bacterial and fungal communities in the rhizosphere and root endosphere of healthy tobacco plants and tobacco with Fusarium root rot using amplicon sequencing and metagenomic sequencing.

Results and discussion

Our results showed that Fusarium root rot disrupted the stability of bacteria-fungi interkingdom networks and reduced the network complexity. Compared to healthy tobacco plants, the Chao1 index of bacterial communities in the rhizosphere soil of diseased plants increased by 4.09% (P < 0.05), while the Shannon and Chao1 indices of fungal communities decreased by 13.87 and 8.17%, respectively (P < 0.05). In the root tissues of diseased plants, the Shannon index of bacterial and fungal communities decreased by 17.71-27.05% (P < 0.05). Additionally, we observed that the rhizosphere microbial community of diseased tobacco plants shifted toward a pathological combination, with a significant increase in the relative abundance of harmful microbes such as Alternaria, Fusarium, and Filobasidium (89.46-921.29%) and a notable decrease in the relative abundance of beneficial microbes such as Lysobacter, Streptomyces, Mortierella, and Penicillium (48.48-81.56%). Metagenomic analysis further revealed that the tobacco rhizosphere microbial communities of diseased plants played a significant role in basic biological metabolism, energy production and conversion, signal transduction, and N metabolism, but their functions involved in C metabolism were significantly weakened. Our findings provide new insights into the changes in and interactions within the rhizosphere and root endosphere microbiomes of tobacco plants under the stress of Fusarium soil-borne fungal pathogens, while laying the foundation for the exploration, development, and utilization of beneficial microbial resources in healthy tobacco plants in the future.

Soil fungal community and co-occurrence network patterns at different successional stages of black locust coppice stands

Background and aims

Black locust (Robinia pseudoacacia L.) plantations transition from seedling to multi-generation coppice systems, leading to declines in productivity and biodiversity. However, the structural and functional reorganization of soil fungal communities during this transition remains poorly understood. This study aimed to characterize fungal community dynamics across successional stages of black locust stands and assess their implications for soil health and ecosystem resilience.

Methods

Soil fungal communities in three black locust stands (first-generation seedling forest, first- and second-generation coppice forests) were analyzed over one year using ITS high-throughput sequencing. We evaluated fungal diversity, guild composition, and co-occurrence networks, integrating statistical analyses (PERMANOVA, ANOSIM, FUNGuild) and network theory to assess seasonal and successional shifts.

Results

Fungal richness and diversity remained stable across stand types and seasons. However, these factors dramatically altered the soil fungal community structure. Shifts in fungal community composition were observed from seedling to coppice stands: Ascomycota dominance decreased (72.9 to 57.9%), while Basidiomycota increased (6.5 to 11.6%). Significant changes in the relative abundance of certain fungal guilds were observed by both stand conversion and seasonal variation (p < 0.05). However, the overall fungal guilds composition was only significantly affected by the seasonal variation, rather than stand conversion (p > 0.05). Furthermore, saprotrophic fungi dominated in autumn/winter (66.49-76.01%), whereas symbiotic fungi peaked in spring (up to 7.27%). As forests transition from seeding to coppice stands, the percentage of negative edges, average degree, and relative modularity of the fungal community co-occurrence networks all gradually decreased. Those suggested that the conversion of black locust stands decreased the connectivity between fungal species, formed less organized structure, increased homogeneity of function among microbial communities, reduced ecological functionality, and decreased resistance to environmental changes. Seasonal temperature fluctuations further modulated network complexity, with summer samples showing heightened edge density but reduced cooperation.

Conclusion

Our findings suggest that the conversion of forests can significantly shift the soil fungal community structure and assembly, favoring Basidiomycota over Ascomycota and reducing network stability. These shifts signal progressive soil nutrient depletion and functional homogenization, potentially compromising ecosystem resilience. Seasonal guild dynamics highlight fungi's role in nutrient cycling, with saprotrophs driving litter decomposition in colder months. This understanding suggest that forest management practices must prioritise the preservation of early successional stages. This is vital to support diverse fungal communities and complex community networks and ensure the stability, functionality and resistance of fungal communities. Restoration efforts must focus on promoting fungal resilience through targeted soil amendments and habitat diversification to enhance ecosystem stability and functionality.

Genetic and species rearrangements in microbial consortia impact biodegradation potential

Genomic reorganisation between species and horizontal gene transfer have been considered the most important mechanism of biological adaptation under selective pressure. Still, the impact of mobile genes in microbial ecology is far from being completely understood. Here we present the collection and characterisation of microbial consortia enriched from environments contaminated with emerging pollutants, such as non-steroidal anti-inflammatory drugs. We have obtained and further enriched two ibuprofen-degrading microbial consortia from two unrelated wastewater treatment plants. We have also studied their ability to degrade the drug and the dynamics of the re-organisations of the genetic information responsible for its biodegradation among the species within the consortium. Our results show that genomic reorganisation within microorganisms and species rearrangements occur rapidly and efficiently during the selection process, which may be facilitated by plasmids and/or transposable elements located within the sequences. We show the evolution of at least two different plasmid backbones on samples from different locations, showing rearrangements of genomic information, including genes encoding activities for IBU degradation. As a result, we found variations in the expression pattern of the consortia after evolution under selective pressure, as an adaptation process to the new conditions. This work provides evidence for changes in the metagenomes of microbial communities that allow adaptation under a selective constraint -ibuprofen as a sole carbon source- and represents a step forward in knowledge that can inspire future biotechnological developments for drug bioremediation.

iNAP 2.0: Harnessing metabolic complementarity in microbial network analysis

With the widespread adoption of metagenomic sequencing, new perspectives have emerged for studying microbial ecological networks, yielding metabolic evidence of interspecies interactions that traditional co-occurrence networks cannot infer. This protocol introduces the integrated Network Analysis Pipeline 2.0 (iNAP 2.0), which features an innovative metabolic complementarity network for microbial studies from metagenomics sequencing data. iNAP 2.0 sets up a four-module process for metabolic interaction analysis, namely: (I) Prepare genome-scale metabolic models; (II) Infer pairwise interactions of genome-scale metabolic models; (III) Construct metabolic interaction networks; and (IV) Analyze metabolic interaction networks. Starting from metagenome-assembled or complete genomes, iNAP 2.0 offers a variety of methods to quantify the potential and trends of metabolic complementarity between models, including the PhyloMint pipeline based on phylogenetic distance-adjusted metabolic complementarity, the SMETANA (species metabolic interaction analysis) approach based on cross-feeding substrate exchange prediction, and metabolic distance calculation based on parsimonious flux balance analysis (pFBA). Notably, iNAP 2.0 integrates the random matrix theory (RMT) approach to find the suitable threshold for metabolic interaction network construction. Finally, the metabolic interaction networks can proceed to analysis using topological feature analysis such as hub node determination. In addition, a key feature of iNAP 2.0 is the identification of potentially transferable metabolites between species, presented as intermediate nodes that connect microbial nodes in the metabolic complementarity network. To illustrate these new features, we use a set of metagenome-assembled genomes as an example to comprehensively document the usage of the tools. iNAP 2.0 is available at https://inap.denglab.org.cn for all users to register and use for free.