IDBA-UD: a de novo assembler for single-cell and metagenomic sequencing data with highly uneven depth

E. coli genetically modified for purine nucleobase release promotes butyrate generation and colonic wound healing during DSS insult

The gut microbiota transforms energy stored as undigestible carbohydrates into a remarkable number of metabolites that fuel intestinal bacterial communities and the host tissue. Colonic epithelial cells at the microbiota-host interface depend upon such microbiota-derived metabolites (MDMs) to satisfy their energy requisite. Microbial dysbiosis eliciting MDM loss contributes to barrier dysfunction and mucosal disease. Recent work has identified a role for microbiota-sourced purines (MSPs), notably hypoxanthine, as an MDM salvaged by the colonic epithelium for nucleotide biogenesis and energy balance. Here, we investigated the role of MSPs in mice during disease-modeled colonic energetic stress using a strain of E. coli genetically modified for enhanced purine nucleobase release (E. coli Mutant). E. coli Mutant colonization protected against DSS-induced tissue damage and permeability while promoting proliferation for wound healing. Metabolite and metagenomic analyses suggested a colonic butyrate-purine nucleobase metabolic axis, wherein the E. coli Mutant provided purine substrate for Clostridia butyrate production and host purine salvage, altogether supplying the host substrate for efficient nucleotide biogenesis and energy balance.

Virus communities rather than bacterial communities contribute more on nutrient pool in polluted aquatic environment

The degradation of animal carcasses can lead to rapid waste release (e.g., pathogenic bacteria, viruses, prions, or parasites) and also result in nutrient accumulation in the surrounding environment. However, how viral profile responds and influences nutrient pool (carbon (C), nitrogen (N), phosphorus (P) and sulfur (S)) in polluted water caused by animal carcass decomposition had not been explored. Here, we combined metagenomic analysis, 16S rRNA gene sequencing and water physicochemical assessment to explore the response of viral communities under different temperatures (23 °C, 26 °C, 29 °C, 32 °C, and 35 °C) in water polluted by cadaver, as well as compare the contribution of viral/bacterial communities on water nutrient pool. We found that a total of 15,240 viral species were classified and mainly consisted of Siphoviridae. Both temperature and carrion reduced the viral diversity and abundance. Only a small portion of the viruses (∼8.8 %) had significant negative correlations with temperature, while most were not sensitive. Our results revealed that the viruses had lager contribution on nutrient pool than bacteria. Besides, viral-related functional genes involved in C, N, P and S cycling. These functional genes declined during carcass decomposition and covered part of the central nutrient cycle metabolism (including carbon sugar transformation, denitrification, P mineralization and extracelluar sulfate transfer, etc.). Our result implies that human regulation of virus communities may be more important than bacterial communities in regulating and managing polluted water quality and nutrition.

Autotrophic denitrification under anoxic conditions by newly discovered mixotrophic sulfide-oxidizing bacterium

Autotrophic denitrification (AutoDN) using sulfur represents a promising strategy for treating wastewater characterized by low carbon-to-nitrogen ratios (C/N). However, its widespread application is constrained by operational instability and the excessive sulfate accumulation. This study reports the isolation of Thauera sp. AutoDN2, a novel autotrophic denitrifier coupling nitrate reduction with sulfide oxidation while minizing sulfate production. AutoDN2 achieved nitrate removal of 99 ± 1 % at a sulfide-to-nitrogen ratio (S/N) of 4.8, primarily reducing nitrate to nitrite - a substrate for anaerobic ammonium oxidation (anammox), with minimal further reduction observed at S/N ratios ≥ 6.4. Unlike conventional sulfide-driven autotrophic denitrifiers, AutoDN2 predominantly generated elemental sulfur rather than sulfate, thereby mitigating secondary pollution. It also exhibited mixotrophic denitrification, indicating metabolic adaptability across a wide range of C/N ratios (0.3-5.0). These findings highlight AutoDN2's capability for sustainable treatment of organic-deficient, nitrate-rich wastewater, contributing to an integrated carbon-nitrogen-sulfur (CNS) cycle with reduced sulfate release.

Genome mining and characterization of bifunctional Clerodane Diterpene synthase from a fungus Myrothecium sp

Clerodane diterpenoids are a promising group of pharmacological molecules and are rarely discovered in fungi. The clerodane diterpene synthase has not yet been characterized in fungi. Herein, we discovered a gene, mterA, encoding chimeric protein with the bifunction of class II and class I synthases from a fungus Myrothecium sp. by genome mining. Heterologous co-expression of mterA and mterB in engineered yeast led to the production of a clerodane diterpene product (5S, 8R, 9R, 10S)-terpentetriene (1), confirming the existence of a fungi-derived special clerodane diterpene synthase. Site-directed mutagenesis on conserved motifs revealed a strong influence on terpentetriene accumulation. Gene inactivation of mterA indicated that the mter gene cluster was likely cryptic or weakly expressed in the host under the laboratory conditions. Compound 1 exhibited significant inhibitory activity against the plant pathogen Bacillus subtilis with a MIC value of 8 μg/mL and activated the plant immune response. MterA representes the first chimeric bifunctional clerodane diterpene synthase.

Genome-resolved metagenomics from short-read sequencing data in the era of artificial intelligence

Genome-resolved metagenomics is a computational method that enables researchers to reconstruct microbial genomes from a given sample directly. This process involves three major steps, i.e. (i) preprocessing of the reads (ii) metagenome assembly, and (iii) genome binning, with (iv) taxonomic classification, and (v) functional annotation as additional steps. Despite the availability of multiple bioinformatics approaches, metagenomic data analysis encounters various challenges due to high dimensionality, data sparseness, and complexity. Meanwhile, integrating artificial intelligence (AI) at different stages of data analysis has transformed genome-resolved metagenomics. Though the application of machine learning and deep learning in metagenomic annotation started earlier, the emergence of better sequencing technologies, improved throughput, and reduced processing time have rendered the initial models less efficient. Consequently, the number of AI-based metagenomics tools is continuously increasing. The recent AI-based tools demonstrate superior performance in handling complex and multi-dimensional metagenomics data, offering improved accuracy, scalability, and efficiency compared to traditional models. In this paper, we reviewed recent AI-based tools specifically developed for short-read metagenomic data, and their underlying models for genome-resolved metagenomics. It also discusses the performance of these tools and overviews their usability in metagenomics research. We believe this study will provide researchers with insights into the strengths and limitations of current AI-based approaches, serving as a valuable resource for selecting appropriate tools and guiding future advancements in genome-resolved metagenomics.

Interspecies hydrogen transfer between cyanobacteria and symbiotic bacteria drives nitrogen loss

The trace concentration of H2 in most ecosystems after the Earth's oxidation has long caused the neglect of hydrogenotrophic denitrification for nitrogen loss. Here, we find that the interspecies hydrogen transfer between cyanobacteria and symbiotic bacteria within cyanobacterial aggregates is an undiscovered pathway for nitrogen loss. Cyanobacteria in aggregates can actively generate H2 under the diel cycle as an electron donor for neighboring hydrogenotrophic denitrifiers. The hydrogenotrophic denitrification in engineered cyanobacterial aggregates accounts for a nitrogen removal rate of 3.47 ± 0.42 mmol l-1 day-1. This value is nearly 50% of the heterotrophic denitrification rate, which far exceeds the general concept of the trace role. We find that H2-evolving cyanobacteria and hydrogenotrophic denitrifiers coexist in 84% of the 63 globally distributed cyanobacterial aggregates, where bloom colonies and phototrophic mats from hot springs are identified as potential hotspots. We suggest that interspecies hydrogen transfer within cyanobacterial aggregates is possibly responsible for the excessive nitrogen loss rate during cyanobacterial blooms where cyanobacterial aggregates persist.

High-fertility sows reshape gut microbiota: the rise of serotonin-related bacteria and its impact on sustaining reproductive performance

BACKGROUND

Compelling evidence has established a strong link between the gut microbiota and host reproductive health. However, the specific regulatory roles of individual bacterial species on reproductive performance are not well-understood. In the present study, Jinhua sows with varying reproductive performances under the same diet and management conditions were selected to explore potential mechanisms on the intricate relationship between the gut microbiome and host reproductive performance using 16S rRNA sequencing, metagenomics and serum metabolomics.

RESULTS

Our findings revealed that the KEGG pathways for base excision repair and DNA replication were enriched, along with gene-level enhancements in spore formation, in sows with higher reproductive performance, indicating that the gut microbiome experiences stress. Further analysis showed a positive correlation between these changes and litter size, indicating that the host acts as a stressor, reshaping the microbiome. This adaptation allows the intestinal microbes in sows with high reproductive performance to enrich specific serotonin-related bacteria, such as Oxalobacter formigenes, Ruminococcus sp. CAG 382, Clostridium leptum, and Clostridium botulinum. Subsequently, the enriched microbiota may promote host serotonin production, which is positively correlated with reproductive performance in our study, known to regulate follicle survival and oocyte maturation.

CONCLUSION

Our study provides a theoretical basis for understanding the interactions between gut microbes and the host. It highlights new insights into reassembling gut microbiota in sows with higher litter sizes and the role of serotonin-related microbiota and serotonin in fertility.

Metagenome-Derived CRISPR-Cas12a Mining and Characterization

The advent of clustered regularly interspaced short palindromic repeats (CRISPR)-based technologies has revolutionized genome editing, with continued interest in expanding the CRISPR-associated proteins (Cas) toolbox with diverse, efficient, and specific effectors. CRISPR-Cas12a is a potent, programmable RNA-guided dual nickase, broadly used for genome editing. Here, we mined dairy cow microbial metagenomes for CRISPR-Cas systems, unraveling novel Cas12a enzymes. Using in silico pipelines, we characterized and predicted key drivers of CRISPR-Cas12a activity, encompassing guides and protospacer adjacent motifs for five systems. We next assessed their functional potential in cell-free transcription-translation assays with GFP-based fluorescence readouts. Lastly, we determined their genome editing potential in vivo in Escherichia coli by generating 1 kb knockouts. Unexpectedly, we observed natural sequence variation in the bridge-helix domain of the best-performing candidate and used mutagenesis to alter the activity of Cas12a orthologs, resulting in increased gene editing capabilities of a relatively inefficient candidate. This study illustrates the potential of underexplored metagenomic sequence diversity for the development and refinement of genome editing effectors.

Phylogenetic Analysis of the Family Lepidostomatidae (Trichoptera: Integripalpia) Using Whole Mitochondrial Genomes

Lepidostomatidae is a relatively large family of the infraorder Plenitentoria (Integripalpia), comprising four fossil genera and seven extant genera. Lepidostomatid adults exhibit pronounced sexual dimorphism and have thus been referred to as the 'cabinet of curiosities' within Trichoptera. However, only five annotated mitogenomes of Lepidostoma have been recorded in the GeneBank database, and some of these mitogenomes are incomplete. To better understand the structure of mitogenome and phylogenetic relationships of Lepidostomatidae, we present mitogenomes of 13 Lepidostoma species and one Paraphlegopteryx species for the first time. We combined these new mitogenomes with previously published data for a comparative analysis. The results showed that the structure of mitogenome was relatively conserved, the nucleotide composition was significantly AT biased, and the control region showed the highest A + T content. Evolutionary rate analysis showed that all protein-coding genes underwent purification selection. The phylogenetic relationships supported the monophyly of Lepidostomatidae and restored the taxonomic positions of the two subfamilies. Meanwhile, two monophyletic branches (Lepidostoma ferox branch and Lepidostoma hirtum branch) within the genus Lepidostoma were also strongly supported. These findings significantly advance our understanding of the mitogenome and phylogeny of Lepidostomatidae.

Microbes with higher metabolic independence are enriched in human gut microbiomes under stress

A wide variety of human diseases are associated with loss of microbial diversity in the human gut, inspiring a great interest in the diagnostic or therapeutic potential of the microbiota. However, the ecological forces that drive diversity reduction in disease states remain unclear, rendering it difficult to ascertain the role of the microbiota in disease emergence or severity. One hypothesis to explain this phenomenon is that microbial diversity is diminished as disease states select for microbial populations that are more fit to survive environmental stress caused by inflammation or other host factors. Here, we tested this hypothesis on a large scale, by developing a software framework to quantify the enrichment of microbial metabolisms in complex metagenomes as a function of microbial diversity. We applied this framework to over 400 gut metagenomes from individuals who are healthy or diagnosed with inflammatory bowel disease (IBD). We found that high metabolic independence (HMI) is a distinguishing characteristic of microbial communities associated with individuals diagnosed with IBD. A classifier we trained using the normalized copy numbers of 33 HMI-associated metabolic modules not only distinguished states of health vs IBD, but also tracked the recovery of the gut microbiome following antibiotic treatment, suggesting that HMI is a hallmark of microbial communities in stressed gut environments.

Efficacy of Erwinia amylovora and Xanthomonas campestris pv campestris phages to control fire blight and black rot in vivo

Phytopathogens, such as Erwinia amylovora and Xanthomonas campestris, pose significant threats to agriculture, leading to substantial economic losses. Traditional chemical pesticides can harm soil fertility, contaminate water, and impact non-target organisms such as natural predators and pollinators, highlighting the need for sustainable pest control methods. This study explores the use of bacteriophages as biocontrol agents against E. amylovora, which causes fire blight, and X. campestris pv. campestris, responsible for black rot in cruciferous vegetables. Bacteriophages were isolated from urban wastewater and tested for their lytic activity against these pathogens. Three virulent phages were identified: ɸEF1 and ɸEF2 against E. amylovora and ɸXF1 against X. campestris pv. campestris. Genetic analysis confirmed the absence of known lysogeny-related genes, indicating that these phages are ideal candidates for biocontrol applications. In vitro assays demonstrated significant bacterial population reductions. Specifically, ɸEF1 killed 92.1% of the E. amylovora population at a multiplicity of infection (MOI) of 1 after 3 h, while ɸEF2 reduced the population by 98.1%. When combined in a 1:1 ratio, the two phages reduced E. amylovora populations by 99.7%, and no regrowth of resistant cells was observed, which was not the case when the phages were applied individually. ɸXF1 killed 99.9% of X. campestris pv. campestris populations at an MOI of 1 after 5 h. In vivo experiments using pears and kohlrabi as infection models further validated the phage effectiveness. Treated pears showed reduced fire blight symptoms, and kohlrabi plants exhibited markedly less necrosis from black rot compared to untreated controls.IMPORTANCEThree new virulent phages have been isolated: two targeting Erwinia amylovora and one targeting Xanthomonas campestris pv. campestris. All phages were able to rapidly reduce the population of their corresponding phytopathogens and alleviate disease symptoms in in vivo plant models. These findings highlight the potential of these phages as biocontrol agents for managing bacterial plant diseases, offering an alternative to traditional chemical treatments.

Initial acidity regulates microbial sulfur metabolism in the spontaneous fermentation of sesame flavor-type baijiu

Volatile sulfur compounds play a crucial role in fermented foods, however, their metabolism during spontaneous food fermentation remains underexplored. With 3-(methylthio)-1-propanal as a case, we revealed the effect of initial acidity on the sulfur metabolism during sesame flavor-type baijiu fermentation. Results showed that the content of 3-(methylthio)-1-propanal reached 383.29 μg/kg with 1.8 mmol/10 g of the initial acidity, and it decreased to 320.54 μg/kg when the initial acidity increased to 2.4 mmol/10 g. Metagenomic analysis identified 11 core microbes associated with sulfur metabolism, characterized by gene abundance (> 0.5 %) and catalytic enzyme distribution frequency (> 10 %). Saccharomyces was the main producer of sulfur compounds. Lactobacillus was an important player in the methyl cycle pathway of sulfur metabolism. Low initial acidity increased the abundance of Lactobacillus and the content of genes associated with the methyl cycle pathway (P < 0.05). This resulted in a significant increase of methionine (253.26 mg/kg) (P < 0.05) and 3-(methylthio)-1-propanal contents (383.29 μg/kg) (P < 0.05). In simulated fermentation, the content of 3-(methylthio)-1-propanal significantly increased by 2.91 folds when Saccharomyces cerevisiae was cocultured with Lactobacillus acetotolerans (P < 0.05), and the transcription of genes related to sulfur metabolism significantly increased by 33.71 folds (P < 0.05). Results indicated that low initial acidity increased the abundance of Lactobacillus, which mediates the methyl cycle pathway in the sulfur metabolism, thereby increasing the contents of methionine and volatile sulfur compounds. This work provided insight into the regulation of metabolic mechanisms of volatile sulfur compounds in baijiu fermentation.

Draft genome sequences of related Paeniglutamicibacter sp. isolates from two disparate cave systems

We present the genome assemblies of two similar Paeniglutamicibacter strains, ORCA_105 and MACA_103, isolated from Mammoth and Oregon Cave systems, respectively. These closely related, but distinct genomes will provide a resource for those studying genomic adaptation to caves.

Native genetic structure of black bean bug Brachyplatys subaeneus: Implications for pest management

BACKGROUND

The black bean bug Brachyplatys subaeneus is a crucial legume crop pest native to Asia. It has been introduced to the Americas and rapidly in tropical and subtropical regions, where it poses a serious threat to local legume crops. However, the native population structure and invasive sources of this pest have never been studied, hindering effective monitoring and management. Here, we investigated the genetic structure of native populations based on nuclear SNP data and genetic relationship between the Panama samples and the native samples based on COI and 16S rRNA sequences. In addition, we constructed ecological niche models to predict its potential invasion areas.

RESULTS

We found that B. subaeneus comprised three geographic lineages (NO, PH and SO) within its native range, with strong genetic differentiation between these lineages. Genetic relationships based on mitochondrial DNA between the native and invasive samples indicated that Panama samples used in this study were derived from NO lineage. Ecological niche modelling shows a wide range of suitable habitats in the northern and central regions of South America, suggesting that B. subaeneus has the potential to expand further south from the northern regions of South America.

CONCLUSION

This study revealed the genetic structure of B. subaeneus in its native range, inferred the possible geographical origin of invasive populations, and indicated the potential invasion areas for the bean bug. Our findings in this study could provide new insights into the monitoring and management efforts of this invasive pest. © 2025 Society of Chemical Industry.

Novel anaerobic selenium oxyanion reducers native to FGD wastewater for enhanced selenium removal

Biological treatment is a recognized approach for removing selenate and selenite oxyanions present in flue gas desulfurization (FGD) wastewater. However, the knowledge of the specific microbial species or communities responsible for reducing water-soluble selenium oxyanions to insoluble elemental selenium remains limited. In addition, the selenium oxyanion reduction genes and pathways have yet to be understood in these wastewaters. This study characterizes selenium oxyanion-reducing bacteria (SeRB) native to FGD wastewater, and the resulting elemental selenium particles formed. By selecting native SeRB microbes in a defined media, a novel resolution of these organisms has been achieved. This research identifies previously unrecognized selenium oxyanion-reducing capabilities in Anaerosolibacter, alongside predominant SeRB from Mesobacillus and Tepidibacillus genera. This work encompasses both 16S and metagenomic techniques to recover novel metagenome-assembled genomes, distinct to this environment. The biogenic selenium produced by these organisms was predominantly of elemental selenium, either amorphous or with a hexagonal structure. This study identifies the SeRB present in FGD wastewater and characterizes their selenium products, offering crucial insights to enhance the efficiency of biological treatment strategies and the potential of selenium recovery from this industrial waste.IMPORTANCEThis is the first report on the culturability and recovery of taxonomic and metabolic information of the anaerobic selenium oxyanion-reducing bacteria (SeRB) in flue gas desulfurization (FGD) wastewater. Selenium is a regulated contaminant in FGD wastewater found on average to be 3,130 µg/L that must be removed to meet EPA discharge limits of 16 µg/L (D. B. Gingerich, E. Grol, and M. S. Mauter, Environ Sci Water Res Technol 4:909-925, 2018, https://doi.org/10.1039/C8EW00264A; also see U.S. EPA EPA-821-R-20-001, 2020). Better understanding of anaerobic SeRB and the microbial community in FGD wastewater is needed to harness their full potential for the bioremediation and recovery of selenium from FGD wastewater. Optimizing the biotreatment strategies for these wastewaters promises to yield cleaner and healthier waterways and ecosystems, even as the United States undergoes a shift in its energy landscape.

Comparative Mitogenomic Analyses of Psectrocladius (Diptera: Chironomidae)

Psectrocladius, a genus within the species-rich subfamily Orthocladiinae (Diptera: Chironomidae), remains poorly resolved in molecular phylogenetics due to limited available molecular data. Here, we sequenced and analyzed the complete mitogenomes of five Psectrocladius species, using two Rheocricotopus species as outgroups. Our results reveal that the mitogenomes of Psectrocladius are structurally conserved and retain a presumed ancestral gene order. The nucleotide composition of these newly generated mitogenomes exhibits a pronounced A + T bias, which is characteristic of typical insect mitogenomes. The substitution rates, estimated using Ka/Ks ratios, indicate that all protein-coding genes are under purifying selection. The strongest purifying selection pressure was observed in the CO1 gene, while the weakest was in the ND5 gene. Both the maximum likelihood and Bayesian inference trees consistently show the following topology: ((((P. schlienzi + P. bisetus) + P. barbimanus) + P. oligosetus) + P. aquatronus). This study provides key insights into chironomid mitogenomes and their gene properties, offering valuable reference data for future research.

Cryo-EM structures of a Xanthomonas phage: Insights into viral architecture and implications for the model phage HK97

Xanthomonas bacteria are responsible for disease outbreaks in several hundred plant species, causing significant economic losses. Xanthomonas phages have emerged as a promising biocontrol strategy in managing various important plant diseases caused by Xanthomonas bacteria. However, structural information for Xanthomonas phages has remained limited so far. Here, we present high-resolution cryo-electron microscopy (cryo-EM) structures of the Xanthomonas citri phage ΦXacJX1 from siphoviruses. These structures include atomic models for the head, head-to-tail connector and head-proximal portion of the tail. ΦXacJX1's head and head-to-tail connector components show significant protein sequence and structural homology with those of the model siphophage HK97. However, the in-situ structures of head-to-tail connector of phage HK97 remain unavailable. The presented structures of phage ΦXacJX1 enhance our understanding of Xanthomonas phages and the mature virion of phage HK97. They provide a valuable framework for future structural and functional studies on both Xanthomonas phages and phage HK97.

Advanced computational tools, artificial intelligence and machine-learning approaches in gut microbiota and biomarker identification

The microbiome of the gut is a complex ecosystem that contains a wide variety of microbial species and functional capabilities. The microbiome has a significant impact on health and disease by affecting endocrinology, physiology, and neurology. It can change the progression of certain diseases and enhance treatment responses and tolerance. The gut microbiota plays a pivotal role in human health, influencing a wide range of physiological processes. Recent advances in computational tools and artificial intelligence (AI) have revolutionized the study of gut microbiota, enabling the identification of biomarkers that are critical for diagnosing and treating various diseases. This review hunts through the cutting-edge computational methodologies that integrate multi-omics data-such as metagenomics, metaproteomics, and metabolomics-providing a comprehensive understanding of the gut microbiome's composition and function. Additionally, machine learning (ML) approaches, including deep learning and network-based methods, are explored for their ability to uncover complex patterns within microbiome data, offering unprecedented insights into microbial interactions and their link to host health. By highlighting the synergy between traditional bioinformatics tools and advanced AI techniques, this review underscores the potential of these approaches in enhancing biomarker discovery and developing personalized therapeutic strategies. The convergence of computational advancements and microbiome research marks a significant step forward in precision medicine, paving the way for novel diagnostics and treatments tailored to individual microbiome profiles. Investigators have the ability to discover connections between the composition of microorganisms, the expression of genes, and the profiles of metabolites. Individual reactions to medicines that target gut microbes can be predicted by models driven by artificial intelligence. It is possible to obtain personalized and precision medicine by first gaining an understanding of the impact that the gut microbiota has on the development of disease. The application of machine learning allows for the customization of treatments to the specific microbial environment of an individual.

Advancing molecular macrobenthos biodiversity monitoring: a comparison between Oxford Nanopore and Illumina based metabarcoding and metagenomics

DNA-based methods and developments of sequencing technologies are integral to macrobenthos biodiversity studies, and their implementation as standardized monitoring methods is approaching. Evaluating the efficacy and reliability of these technological developments is crucial for macrobenthos biodiversity assessments. In this study, we compared three DNA-based techniques for assessing the diversity of bulk macrobenthos samples from the Belgian North Sea. Specifically, we compared amplicon sequencing using Illumina MiSeq and portable real-time sequencing of Oxford Nanopore versus shotgun sequencing using Illumina NovaSeq sequencing. The 313 bp mitochondrial cytochrome c oxidase subunit I (COI) metabarcoding fragment served as the target region for the metabarcoding analysis. Our results indicate that Oxford Nanopore and MiSeq metabarcoding had similar performances in terms of alpha and beta diversity, revealing highly similar location-specific community compositions. The NovaSeq metagenomics method also resulted in similar alpha diversity, but slightly different community compositions compared to the metabarcoding approach. Despite these differences, location-specific community compositions were maintained across all platforms. Notably, read counts from the NovaSeq metagenomic analysis showed the weakest correlation to size corrected morphological abundance and there were mismatches between morphological identification and all DNA based findings which are likely caused by a combination of factors such as primer efficiency and an incomplete reference database. Our findings underscore the critical importance of database completeness prior to implementing DNA-based techniques as standardized monitoring method, especially for metagenomics. Nevertheless, our findings emphasize that Oxford Nanopore metabarcoding proves to be a viable alternative to the conventional Illumina MiSeq metabarcoding platform for macrobenthos biodiversity monitoring.

Turning lances into shields: flower mantids stretch their raptorial forelegs to avert and deflect predator attack

Evolutionary co-option, in which existing traits acquire novel adaptive functions, is a key strategy by which organisms adapt to new environmental challenges. Although such co-option has been widely documented at the genetic and morphological levels, its incidence at the behavioural level remains largely unknown. Mantids stretch their forelegs to capture prey; however, some flower mantids also perform foreleg stretches in the absence of prey. The current study tested whether this behaviour represents a novel function of the foreleg stretch, thus representing a case of behavioural co-option. Predator encounter behaviour assays revealed that foreleg stretching facilitates the escape of flower mantids from large predatory mantids by delaying predator approach or deflecting their attack towards less vulnerable body parts. Phylogenetic analysis suggested that the ancestral function of foreleg stretching involves prey capture, with the anti-predator function subsequently acquired in the flower mantid clade, coinciding with the diversification of large-sized mantids, the most likely invertebrate predators of flower mantids. This study provides a case of behavioural co-option, where a predator uses its predatory organ as a defensive implement to cope with its own predators. These findings further suggest that behavioural co-option may be common in nature, meriting more comprehensive studies.

Insights into the mitochondrial genome structure and phylogenetic placement of Theileria velifera in comparison to other apicomplexan parasites

In this study, we sequenced the complete mitochondrial genome of Theileria velifera and compared it with other Apicomplexan parasites. The mitochondrial genome of T. velifera is a linear monomer molecule spanning 6,125 bp, and it encodes 3 protein-coding genes (PCGs): cox1, cob, and cox3. Besides, it contains 5 large subunit (LSU) rRNA gene fragments and terminal inverted repeats (TIR) at both ends. Moreover, the mitochondrial genomes of most Apicomplexan parasites in this study are typically around 6,000 bp in length and are linear in structure, featuring three PCGs. The start codons observed in Thaleria spp. and Babesia spp. parasites predominantly include ATN, GTN, and TTN, while the end codons are mainly TAA, TAG, and TGA. Phylogenetic analysis showed that T. velifera was closely related to T. annulata, T. parva, T. taurotragi and T. lestoquardi. The complete mitochondrial genome sequence of T. velifera was examined and compared to other Apicomplexan parasites in this study, offering fresh perspectives on the evolution and phylogenetic connections among these parasites.

Reverse Osmosis in an Advanced Water Treatment Train Produces a Simple, Consistent Microbial Community

Potable water reuse has become a key component of water sustainability planning in arid regions. Many advanced water purification facilities use reverse osmosis (RO) as part of treatment, including as a barrier for microorganisms; however, regrowth after RO treatment has been observed. Questions remain about the identity, source, and survival mechanisms of microorganisms in RO permeate, but the extremely low biomass of this water is a limitation for common microbiological methods. Here, we performed high-throughput sequencing on samples collected throughout a potable reuse train, including samples collected by filtering large volumes of RO permeate and biomass collected from RO membranes during an autopsy. We observed a stable, consistent microbial community across three months and in two parallel RO trains. RO permeate samples contained Burkholderiaceae at high relative abundance, including one Aquabacterium sp. that accounted for 29% of the community, on average. Like most other RO permeate microorganisms, this sequence was not seen in upstream samples and we suggest that biofilm growing on unit process infrastructure, rather than active treatment breakthrough, was the primary source. A metagenome-assembled genome corresponding to Aquabacterium sp. from RO permeate was found to lack most sugar-utilization pathways and to be able to consume low molecular weight organic molecules, potentially those that pass through RO.

Fecal microbiota transplantation mitigates postdieting weight regain in mice by modulating the gut-liver axis

BACKGROUND

Dysbiosis of the microbiome is strongly associated with weight rebound after dieting. However, the interactions between the host and microbiome and their relevance to the pathogenesis of post-diet weight rebound remain unclear.

PURPOSE

This study aimed to evaluate the effects of fecal microbiota transplantation (FMT) on post-diet weight regain and to investigate the underlying mechanisms by which FMT inhibits weight regain.

METHODS

FMT was administered once daily to mice for 5 weeks. Gas chromatography tandem mass spectrometry was employed to analyze short-chain fatty acid levels in serum, ultrahigh-performance liquid chromatography tandem mass spectrometry was utilized for analyzing hepatic lipid metabolites, and shotgun metagenomic sequencing was applied to examine the intestinal microbiome.

RESULTS

FMT reduced weight regain and prevented lipid accumulation in both liver and adipose tissue while also improving glucose intolerance in mice. Furthermore, FMT increased the abundance of Enterorhabdus caecimuris and decreased the abundances of Burkholderiales, Sutterellaceae, Turicimonas muris, Bacteroides stercorirosoris, and Acetivibrio ethanolgignens within the gut microbiota. Additionally, elevated propionic acid levels and significant alterations in hepatic lipid metabolites were observed following FMT administration.

CONCLUSIONS

Our findings demonstrate that FMT effectively mitigates post-diet weight regain and associated complications. These effects are mediated through interactions between the gut microbiota and the liver via the gut-propionic acid-liver axis.

CLINICAL TRIAL NUMBER

Not applicable.

Molecular and biological characteristics of two rare bloodstream Candida isolates: Candida nonsorbophila and Candida sonorensis

BACKGROUND

The incidence of new infections caused by rare Candida species has been steadily increasing, particularly in immunocompromised patients. This study investigates two rare Candida species responsible for Candida bloodstream infections and explores their molecular characteristics.

METHODS

Clinical Candida strains were continuously isolated from the lower respiratory tract and blood specimens of a patient. Identification was performed using conventional culture techniques, ITS sequencing, and whole-genome sequencing. Additionally, antifungal susceptibility testing, phylogenetic analysis, macrophage survival assays, and in vivo survival experiments were conducted to evaluate the antifungal resistance, infection source, and pathogenicity of the isolates.

RESULTS

Molecular identification confirmed that the RP (pinkish-purple colonies from respiratory specimens), RW (pinkish-white colonies from respiratory specimens), and BP (pinkish-purple colonies from peripheral blood) strains were Candida nonsorbophila, while the BW (pinkish-white colonies from peripheral blood) strain was identified as Candida sonorensis. Phylogenetic analysis revealed that the RP strain from the lower respiratory tract and the BP strain from the bloodstream belonged to the same clonal lineage, suggesting that the pulmonary isolate entered the bloodstream, resulting in candidemia. Antifungal susceptibility testing showed that C. nonsorbophila RW strain exhibited significant resistance to fluconazole, likely due to the E70D mutation in the ERG11 gene. Both C. sonorensis and C. nonsorbophila exhibited relatively weak virulence, with no significant differences in pathogenicity between single-strain infections and mixed infections of both species (P > 0.05).

CONCLUSION

This study successfully isolated C. nonsorbophila and C. sonorensis from clinical specimens, providing detailed microbiological and molecular characterization. Rare fungal infections in immunocompromised patients require careful consideration.

Global Archaeal Diversity Revealed Through Massive Data Integration: Uncovering Just Tip of Iceberg

The domain of Archaea has gathered significant interest for its ecological and biotechnological potential and its role in helping us to understand the evolutionary history of Eukaryotes. In comparison to the bacterial domain, the number of adequately described members in Archaea is relatively low, with less than 1000 species described. It is not clear whether this is solely due to the cultivation difficulty of its members or, indeed, the domain is characterized by evolutionary constraints that keep the number of species relatively low. Based on molecular evidence that bypasses the difficulties of formal cultivation and characterization, several novel clades have been proposed, enabling insights into their metabolism and physiology. Given the extent of global sampling and sequencing efforts, it is now possible and meaningful to question the magnitude of global archaeal diversity based on molecular evidence. To do so, we extracted all sequences classified as Archaea from 500 thousand amplicon samples available in public repositories. After processing through our highly conservative pipeline, we named this comprehensive resource the 'Global Archaea Diversity' (GAD), which encompassed nearly 3 million molecular species clusters at 97% similarity, and organized it into over 500 thousand genera and nearly 100 thousand families. Saline environments have contributed the most to the novel taxa of this previously unseen diversity. The majority of those 16S rRNA gene sequence fragments were verified by matches in metagenomic datasets from IMG/M. These findings reveal a vast and previously overlooked diversity within the Archaea, offering insights into their ecological roles and evolutionary importance while establishing a foundation for the future study and characterization of this intriguing domain of life.

Siderophore-Mediated Cooperation in Anammox Consortia

It has been widely accepted that iron plays an important role in stimulating the activity of anammox bacteria, which contain many iron clusters for electron transport in cells. However, whether anammox bacteria could directly use and how to uptake Fe(III) have been long-time ignored. Here, we found that micrometer-scale magnetite with the size of 10-20 μm significantly promoted the anammox bacterial activity by iron core and iron uptake. Anammox bacteria cannot utilize Fe(III) directly as they are unable to secrete siderophore for the extracellular Fe(III) transfer to intracellular. In anaerobic anammox consortia at the presence of magnetite, siderophore synthesis bacteria belonging to Alphaproteobacteria, Candidate phylum, and Chloroflexi secreted abundant siderophores, which combined with Fe(III) ionized from magnetite to form siderophore-Fe(III) complexes. These complexes were then used by anammox bacteria via a specific outer membrane receptor and transported by the transporter protein to the periplasm, further releasing Fe(III). Cytochrome c was then formed by the siderophore-Fe(III) complex reduction, for assimilation and synthesis of Fe-S protein and heme B in anammox bacteria to increase electron transfer capability. This study reveals the siderophore-mediated bacterial cooperation in anammox consortia for Fe(III) assimilation and implies the important role of siderophore-mediated cooperation in driving nitrogen conversion in the artificial or natural system.

Curvibacter soli sp. nov., Extensimonas soli sp. nov., Pseudarthrobacter naphthalenicus sp. nov. and Terripilifer ovatus gen. nov., sp. nov., four new species isolated from polluted soil

A taxonomic study was conducted on four bacterial strains isolated from the soil of a coking plant. Phylogenetic analysis showed that the four strains belonged to three families: Comamonadaceae, Micrococcaceae and Roseiarcaceae. Identification of the 16S rRNA gene exhibited that their sequence similarities were between 94.96 and 98.98% when compared to known and validly nominated species. Their genomes ranged from 3.4 to 7.2 Mb, with DNA G+C molar contents varying from 62.3 to 67.2%. The average nucleotide identities ranged from 71.4 to 92.3%, and digital DNA-DNA hybridization values were 19.7-47.0% when comparing them with closely related type species, supporting the classification of these four strains. Functional analysis demonstrated that strain H3Y2-7T was robustly resistant to chromate (VI) and arsenite (III) and was able to grow on aromatic compounds including naphthalene as carbon sources even in the presence of chromate (VI). These features reflect its ability to treat combined pollutants and adapt to a polluted environment. Based on the analysis of polyphasic taxonomy, we propose the four bacterial strains representing novel species, namely Curvibacter soli sp. nov. (type strain H39-3-26T=JCM 36178T=CGMCC 1.61344T), Extensimonas soli sp. nov. (type strain H3M7-6T=JCM 36176T=CGMCC 1.61336T), Pseudarthrobacter naphthalenicus sp. nov. (type strain H3Y2-7T=JCM 36482T=CGMCC 1.61323T) and Terripilifer ovatus gen. nov., sp. nov. (type strain H3SJ34-1T=JCM 36465T=CGMCC 1.61333T).

Loss of Myostatin leads to low production of CH4 by altering rumen microbiota and metabolome in cattle

Myostatin (MSTN) is a protein that plays a crucial role in regulating skeletal muscle development. Despite the known benefits of MSTN mutant cattle for increasing beef production, their potential impact on CH4 emissions has not been quantified. The study comparing wild-type (WT) cattle to MSTN-knockout (MSTN-KO) cattle revealed that CH4 production was lower. Macrogenomic analysis revealed a significant decrease in rumen archaea, with reduced Richness indices (P = 0.036). The MSTN-KO cattle also showed altered archaea distribution and composition at different taxonomic levels. LEfSe results showed changes in 21 methanogenic archaea clades, with obligately hydrogen (H2)-dependent methylotrophs Candidatus Methanoplasma termitum species belonging to Methanomassiliicoccales order demonstrating the most significant decrease. Rumen metabolites revealed a decrease in the ratio of acetate to propionate, indicating a shift in rumen fermentation pattern towards propionate fermentation. Additionally, the changing trend of methanogenic archaea is consistent with the evolution of methanogens, and this is correlated with the higher levels of linoleic acid in the rumen of MSTN-KO cattle. Linoleic acid affects the utilization of H2 by methanogenic archaea, leading to a reduction in obligately H2-dependent methylotrophs. Our study suggests that MSTN-KO cattle have potential as an economically and ecologically benign breed for reducing methane emissions.

Viral metagenomics of hematophagous insects collected in the Carajas mining complex, Pará State, Brazil

Hematophagous insects are vectors of viruses that cause diseases in humans and animals worldwide. Mosquitoes (Culicidae), biting midges (Ceratopogonidae), and sandflies (Psychodidae) were collected in three municipalities (Marabá, Canaã dos Carajás, and Curionópolis) in the state of Pará, Brazil, in 2019. Morphological keys were used for the taxonomic identification of insect species. High-throughput sequencing and metagenomic analysis were employed to characterize the viromes of the hematophagous insects. We characterized the virome of 839 insects grouped into 14 pools. A total of 729 million paired reads were generated, with 12 million viral sequences (3 % of the reads). The families Reoviridae, Myoviridae, Retroviridae, and Poxviridae were found in all samples of this study. Phylogenies of RNA-dependent RNA polymerase (RdRp) from viruses of the families Chuviridae, Dicistroviridae, Flaviviridae, Iflaviridae, Mesoniviridae, Phenuiviridae, and Rhabdoviridae were performed. In this study, the first isolation of the Guaico Culex Virus (GCXV) in the northern region of Brazil was obtained from a pool of Culex (Melanoconion) spp. mosquitoes collected in Curionópolis. The data obtained in this study demonstrate that the Carajás region has an ecosystem rich in viruses. Additional studies are needed to understand the dynamics of viruses in vectors, vertebrates, and the human population in the region.

Bacteriophage-Bacteria Interactions Promote Ecological Multifunctionality in Compost-Applied Soils

Bacteriophages (phages) influence biogeochemical cycling in soil ecosystems by mediating bacterial metabolism. However, the participation of phages in soil's overall ecological functions (multifunctionality) remains unclear. Hence, this study investigated the potential for phages and bacterial communities to shape the multifunctionality of compost-applied soils. The findings revealed that cow compost and vermicompost applications enhanced the soil's multifunctionality; consequently, the highest multifunctionality was observed in the soil with vermicompost application (p < 0.05). The composition and diversity of bacteria and phages, as well as the abundance of functional genes of bacteria and phages related to carbon, nitrogen, phosphorus and sulphur metabolism, were dramatically altered following the application of both compost types. Moreover, the impact of phage diversity on soil multifunctionality is crucial for multi-threshold calculations. Structural equation modelling indicated that the effects of bacterial diversity on soil multifunctionality following compost application were paramount, with a path coefficient of 0.88 (p < 0.01). The rise in phage diversity and the enrichment of functional genes indirectly led to a dramatic increase in the soil's ecological multifunctionality by affecting the host bacteria's metabolic processes. These results offer a novel avenue to improve soil's functions and environmental services by transforming the phage community composition and functions of soils.

Genomic and taxonomic characterization of the Comamonas sp. nov., a bacterium isolated from Brazilian Cerrado soil

A novel strain identified as Comamonas sp. was isolated from the soil of the Brazilian savanna-like Cerrado biome, a global hotspot for biodiversity. Phylogenetic analysis based on 16 S rRNA gene sequences showed that this strain is classified as Betaproteobacteria from the family Comamonadaceae. The digital DNA-DNA hybridization (dDDH) and Average Nucleotide Identity (ANI) results, of respectively 48.6% and < 93%, indicated that Comamonas sp. consists in a new species with Comamonas testosteroni as its closest strain. Comamonas sp. is a Gram-negative, rod-shaped, and non-spore-forming bacterium. Its colonies typically exhibit a round, convex, and irregular shape with a clear color and spotted edges. It is characterized as non-fermenting, aerobic, and motile, presenting both oxidase and catalase activities. The optimal growth parameters for this bacterial strain are 30 °C, a pH range of 5-8, and 0% NaCl. In addition, its fatty acid profile included palmitic acid (C16:0) at 26.94%, 13-Methyltetradecanoic Acid (iso-C15:0) at 10.94%, myristic acid (C14:0) at 8.94%, and a summed feature comprising 16:1 ω7c, 16:1 ω6c, or 16:1 at 15.8%. Genomic analysis of Comamonas sp. revealed a GC content of 62.1% across its 5.6 Mb genome. Phylogenomic and pangenome analyses, along with in silico phenotypic characterization indicate that this strain represents a novel species within the Comamonas genus, which we propose to name Comamonas brasiliensis nov.

A metagenomic 'dark matter' enzyme catalyses oxidative cellulose conversion

The breakdown of cellulose is one of the most important reactions in nature1,2 and is central to biomass conversion to fuels and chemicals3. However, the microfibrillar organization of cellulose and its complex interactions with other components of the plant cell wall poses a major challenge for enzymatic conversion4. Here, by mining the metagenomic 'dark matter' (unclassified DNA with unknown function) of a microbial community specialized in lignocellulose degradation, we discovered a metalloenzyme that oxidatively cleaves cellulose. This metalloenzyme acts on cellulose through an exo-type mechanism with C1 regioselectivity, resulting exclusively in cellobionic acid as a product. The crystal structure reveals a catalytic copper buried in a compact jelly-roll scaffold that features a flattened cellulose binding site. This metalloenzyme exhibits a homodimeric configuration that enables in situ hydrogen peroxide generation by one subunit while the other is productively interacting with cellulose. The secretome of an engineered strain of the fungus Trichoderma reesei expressing this metalloenzyme boosted the glucose release from pretreated lignocellulosic biomass under industrially relevant conditions, demonstrating its biotechnological potential. This discovery modifies the current understanding of bacterial redox enzymatic systems devoted to overcoming biomass recalcitrance5-7. Furthermore, it enables the conversion of agro-industrial residues into value-added bioproducts, thereby contributing to the transition to a sustainable and bio-based economy.

Bacterial Communities and Resistance and Virulence Genes in Hospital and Community Wastewater: Metagenomic Analysis

Metagenomic studies have made it possible to deepen the analysis of the abundance of bacterial populations that carry resistance and virulence determinants in the wastewater environment. In this study, a longitudinal collection of samples of community and hospital wastewater from August 2021 to September 2022 was obtained. Shotgun metagenomic sequencing and bioinformatic analysis were performed to characterize the bacterial abundance, antimicrobial resistance genes (ARGs), plasmids, and virulence factor genes (VFGs) contained in the wastewater. The microbial composition of the community and hospital wastewater showed that the most abundant bacterial phyla detected in all samples were: Proteobacteria, Bacteroides, Firmicutes, Campylobacterota, and Actinobacteria. Seasonal differences in the relative abundances of species, ARGs, plasmids, and VFGs were observed. In this study, a total of 270 ARGs were detected, and it was found that the absolute abundance of ARGs only showed a 39% reduction in the treated wastewater. Furthermore, the ARGs detected in this study were found to encode resistance to antibiotics of the last choice. Our results showed that plasmids carrying resistance genes were more abundant in raw wastewater, and 60% more abundant in hospital wastewater compared to community wastewater. Several of the VFGs detected in this study encode for adhesion, motility, and biofilm formation, which likely allows bacteria to remain and persist in the wastewater environment and survive WWTP treatment systems, thus managing to escape into the environment via treated wastewater.

Comparative metagenomics of tropical reef fishes show conserved core gut functions across hosts and diets with diet-related functional gene enrichments

Fish gut microbial communities are important for the breakdown and energy harvesting of the host diet. Microbes within the fish gut are selected by environmental and evolutionary factors. To understand how fish gut microbial communities are shaped by diet, three tropical fish species (hawkfish, Paracirrhites arcatus; yellow tang, Zebrasoma flavescens; and triggerfish, Rhinecanthus aculeatus) were fed piscivorous (fish meal pellets), herbivorous (seaweed), and invertivorous (shrimp) diets, respectively. From fecal samples, a total of 43 metagenome assembled genomes (MAGs) were recovered from all fish diet treatments. Each host-diet treatment harbored distinct microbial communities based on taxonomy, with Proteobacteria, Bacteroidota, and Firmicutes being the most represented. Based on their metagenomes, MAGs from all three host-diet treatments demonstrated a baseline ability to degrade proteinaceous, fatty acid, and simple carbohydrate inputs and carry out central carbon metabolism, lactate and formate fermentation, acetogenesis, nitrate respiration, and B vitamin synthesis. The herbivorous yellow tang harbored more functionally diverse MAGs with some complex polysaccharide degradation specialists, while the piscivorous hawkfish's MAGs were more specialized for the degradation of proteins. The invertivorous triggerfish's gut MAGs lacked many carbohydrate-degrading capabilities, resulting in them being more specialized and functionally uniform. Across all treatments, several MAGs were able to participate in only individual steps of the degradation of complex polysaccharides, suggestive of microbial community networks that degrade complex inputs.

IMPORTANCE

The benefits of healthy microbiomes for vertebrate hosts include the breakdown of food into more readily usable forms and production of essential vitamins from their host's diet. Compositions of microbial communities in the guts of fish in response to diet have been studied, but there is a lack of a comprehensive understanding of the genome-based metabolic capabilities of specific microbes and how they support their hosts. Therefore, we assembled genomes of several gut microbes collected from the feces of three fish species that were being fed different diets to illustrate how individual microbes can carry out specific steps in the degradation and energy utilization of various food inputs and support their host. We found evidence that fish gut microbial communities share several core functions despite differences in microbial taxonomy. Herbivorous fish harbored a functionally diverse microbial community with plant matter degraders, while the piscivorous and invertivorous fish had microbiomes more specialized in protein degradation.

Response of Soil Phage Communities and Prokaryote-Phage Interactions to Long-Term Drought

Soil moisture is a fundamental factor affecting terrestrial ecosystem functions. In this study, microscopic enumeration and joint metaviromic and metagenomic sequencing were employed together to investigate the impact of prolonged drought on soil phage communities and their interactions with prokaryotes in a subtropical evergreen forest. Our findings revealed a marked reduction in the abundances of prokaryotic and viral-like particles, by 73.1% and 75.2%, respectively, and significantly altered the structure of prokaryotic and phage communities under drought. Meanwhile, drought substantially increased the fraction of prokaryotic communities containing lysogenic phages by 163%, as well as the proportion of temperate phages. Nonetheless, drought likely amplified negative prokaryote-phage interactions given the nearly doubled proportion of negative links in the prokaryote-phage co-occurrence network, as well as the higher frequency and diversity of antiphage defense systems found in prokaryotic genomes. Under drought, soil phages exerted greater top-down control on typical soil k-strategists including Acidobacteria and Chloroflexi. Moreover, phage-encoded auxiliary metabolic genes may impact host metabolism in biosynthesis-related functions. Collectively, the findings of this study underscore the profound impact of drought on soil phages and prokaryote-phage interactions. These results also emphasize the importance of managing soil moisture levels during soil amendment and microbiome manipulation to account for the influence of soil phages.

Whole-Genome Shotgun Sequencing from Chicken Clinical Tracheal Samples for Bacterial and Novel Bacteriophage Identification

A whole-genome shotgun sequencing (sWGS) approach was applied to chicken clinical tracheal swab samples during metagenomics investigations to identify possible microorganisms among poultry with respiratory diseases. After applying shotgun sequencing, Ornithobacterium rhinotracheale (ORT) and a putative prophage candidate were found in one of the swab samples. A multi-locus sequence typing (MLST) scheme of the ORT genome involved the adk, aroE, fumC, gdhA, pgi, and pmi genes. Antibiotic resistant analysis demonstrated tetracycline-resistan t ribosomal protection protein, tetQ, the aminoglycoside-(3)-acetyltransferase IV gene, aminoglycoside antibiotic inactivation and macrolide resistance, and the ermX gene in the ORT genome. A putative prophage candidate was predicted using Prophage Hunter and PHAST, while BLAST analyses were utilized to identify genes encoding bacteriophage proteins. Interestingly, genes encoding endolysins were detected in bacteriophage genomes. The gene products encoded in the prophage sequence were most closely related to bacteriophages in the N4-like family among the Authographiviridae in the Caudovirales. This study demonstrates the potential of sWGS for the rapid detection and characterization of etiologic agents found in clinical samples.

Characterization and Optimization of Cellulose-Degrading Bacteria Isolated from Fecal Samples of Elaphurus davidianus Through Response Surface Methodology

The screening of cellulose-degrading microorganisms from herbivores and the optimization of fermentation conditions are of great significance for the utilization of cellulose resources. In this study, we initially employed a metagenomic analysis to investigate the fecal microbiota of both captive and semi-free-ranging Père David's deer (Elaphurus davidianus) under varying environmental conditions. Subsequently, we isolated and cultured cellulase-degrading microorganisms from the fecal samples using Congo red medium. There was consistency in the dominant phyla and genera of gut microorganisms between the two groups, with only differences in abundance. Then, a cellulose-degrading strain identified as Bacillus pumilus XM was isolated after a morphological analysis and molecular identification by 16S rRNA amplicon. In addition, a series of single factor experiments and response surface analysis were conducted to determine the optimal conditions for best cellulase activity. The optimum temperature, culture time, and shaking speed for the reaction of cellulase produced by the strain Bacillus pumilus XM were 34 °C, 28 h, and 154 r/min, respectively. Under these conditions, the cellulase activity reached a maximum of 10.96 U/mL, which was relatively close to the predicted value of 10.975 U/mL. The results have enriched the existing bacterial resources and laid a foundation for the development of new enzymes, providing a theoretical basis for the rational utilization of cellulase from wild animal resources.

Representative Metagenomes of Mesophilic Biogas Reactor Across South Korea

Biogas production through the anaerobic digestion (AD) of organic waste plays a crucial role in promoting sustainability and closing the carbon cycle. Over the past decade, this has driven global research on biogas-producing microbiomes, leading to significant advances in our understanding of microbial diversity and metabolic pathways within AD plants. However, substantial knowledge gaps persist, particularly in understanding the specific microbial communities involved in biogas production in countries such as South Korea. The present dataset addresses one of these gaps by providing comprehensive information on the metagenomes of five full-scale mesophilic biogas reactors in South Korea. From 110 GB of raw DNA sequences, 401 metagenome-assembled genomes (MAGs) were created, which include 42,301 annotated genes. Of these, 187 MAGs (46.7%) were classified as high-quality based on Minimum Information about Metagenome-Assembled Genome (MIMAG) standards. The data presented here contribute to a broader understanding of biogas-specific microbial communities and offers a significant resource for future studies and advancements in sustainable biogas production.

Accurate assembly of full-length consensus for viral quasispecies

BACKGROUND

Viruses can inhabit their hosts in the form of an ensemble of various mutant strains. Reconstructing a robust consensus representation for these diverse mutant strains is essential for recognizing the genetic variations among strains and delving into aspects like virulence, pathogenesis, and selecting therapies. Virus genomes are typically small, often composed of only a few thousand to several hundred thousand nucleotides. While constructing a high-quality consensus of virus strains might seem feasible, most current assemblers only generated fragmented contigs. It's important to emphasize the significance of assembling a single full-length consensus contig, as it's vital for identifying genetic diversity and estimating strain abundance accurately.

RESULTS

In this paper, we developed FC-Virus, a de novo genome assembly strategy specifically targeting highly diverse viral populations. FC-Virus first identifies the k-mers that are common across most viral strains, and then uses these k-mers as a backbone to build a full-length consensus sequence covering the entire genome. We benchmark FC-Virus against state-of-the-art genome assemblers.

CONCLUSION

Experimental results confirm that FC-Virus can construct a single, accurate full-length consensus, whereas other assemblers only manage to produce fragmented contigs. FC-Virus is freely available at https://github.com/qdu-bioinfo/FC-Virus.git .

Evaluating the potential of assembler-binner combinations in recovering low-abundance and strain-resolved genomes from human metagenomes

Human-associated microbial communities are a complex mixture of bacterial species and diverse strains prevalent at varying abundances. Due to the inherent limitations of metagenomic assemblers and genome binning tools in recovering low-abundance species (<1 %) and strains, we lack comprehensive insight into these communities. Although many bioinformatics approaches are available for recovering metagenome-assembled genomes, their effectiveness in recovering low-abundance species and strains is often questioned. Moreover, each tool has its trade-offs, making selecting the right tools challenging. In this study, we investigated the combinatory effect of various assemblers and binning tools on the recovery of low-abundance species and strain-resolved genomes from real and simulated human metagenomes. We evaluated the performance of nine combinations of metagenome assemblers and genome binning tools for their potential to recover genomes of useable quality. Our results revealed that the metaSPAdes-MetaBAT2 combination is highly effective in recovering low-abundance species, while MEGAHIT-MetaBAT2 excels in recovering strain-resolved genomes. These findings highlight the significant variation in the performance of different combinations, even when aiming for the same objective. This suggests the profound impact of selecting the right assembler-binner combination for metagenome analyses. We believe this study will be a cornerstone for the scientific community, guiding the choice of tools by highlighting their complementary effects. Furthermore, it underscores the potential of existing tools to address the current challenges in the field improving the recovery of information from metagenomes.

Metabolic interactions underpinning high methane fluxes across terrestrial freshwater wetlands

Current estimates of wetland contributions to the global methane budget carry high uncertainty, particularly in accurately predicting emissions from high methane-emitting wetlands. Microorganisms drive methane cycling, but little is known about their conservation across wetlands. To address this, we integrate 16S rRNA amplicon datasets, metagenomes, metatranscriptomes, and annual methane flux data across 9 wetlands, creating the Multi-Omics for Understanding Climate Change (MUCC) v2.0.0 database. This resource is used to link microbiome composition to function and methane emissions, focusing on methane-cycling microbes and the networks driving carbon decomposition. We identify eight methane-cycling genera shared across wetlands and show wetland-specific metabolic interactions in marshes, revealing low connections between methanogens and methanotrophs in high-emitting wetlands. Methanoregula emerged as a hub methanogen across networks and is a strong predictor of methane flux. In these wetlands it also displays the functional potential for methylotrophic methanogenesis, highlighting the importance of this pathway in these ecosystems. Collectively, our findings illuminate trends between microbial decomposition networks and methane flux while providing an extensive publicly available database to advance future wetland research.

A Review of the Psyllid Genus Epipsylla (Hemiptera, Psyllidae) from the Chinese Mainland with Phylogenetic Considerations and the Description of a New Species

Epipsylla Kuwayama, 1908, constitutes an Old World genus of psyllids with 15 described species. Based on characters of immatures, Epipsylla was recently assigned to Ciriacreminae (Psyllidae). The genus is morphologically well circumscribed but species are currently difficult to identify as many descriptions lack detail and precision. Eight species are reported from the Chinese mainland. Here, we provide diagnoses for the adults of these species and, as far as known, the fifth-instar immatures. Figures are provided of taxonomically relevant adult characters. A new species, Epipsylla suni sp. nov., is described from Yunnan (China). We provide illustrations of its habitus and morphological features, and list the host plant. Furthermore, we sequenced the mitochondrial genome of the new species and constructed a phylogenetic tree using thirteen protein-coding genes and two rRNA genes. The results of the molecular phylogenetic analysis using the maximum likelihood method support the assignment to Ciriacreminae.

Investigating Aerobic Hive Microflora: Role of Surface Microbiome of Apis Mellifera

This study investigated the surface microbiome of the honeybee (Apis mellifera), focusing on the diversity and functional roles of its associated microbial communities. While the significance of the microbiome to insect health and behavior is increasingly recognized, research on invertebrate surface microbiota lags behind that of vertebrates. A combined metagenomic and cultivation-based approach was employed to characterize the bacterial communities inhabiting the honeybee exoskeleton. Our findings reveal a complex and diverse microbiota exhibiting significant spatial and environmental heterogeneity. The identification of antimicrobial compound producers, validated through both culture and metagenomic analyses, including potentially novel Actinobacteria species, underscores the potential impact of these microbial communities on honeybee health, behavior, and hive dynamics. This research contributes to a more profound ecological understanding of the honeybee microbiome, particularly in its winter configuration.

D, Campbell JH, Campbell AG. Permanent draft genome sequences of cadmium-resistant isolates of Cupriavidus from soils within the Tar Creek Superfund site

Soil samples taken near the abandoned town of Picher, OK, USA, were used to enrich and isolate bacteria in the presence of cadmium. Isolates reported belong to the genus Cupriavidus. Here, we report their permanent draft sequences with an emphasis on genes conferring resistance to cadmium.

Virseqimprover: an integrated pipeline for viral contig error correction, extension, and annotation

Despite the recent surge of viral metagenomic studies, it remains a significant challenge to recover complete virus genomes from metagenomic data. The majority of viral contigs generated from de novo assembly programs are highly fragmented, presenting significant challenges to downstream analysis and inference. To address this issue, we have developed Virseqimprover, a computational pipeline that can extend assembled contigs to complete or nearly complete genomes while maintaining extension quality. Virseqimprover first examines whether there is any chimeric sequence based on read coverage, breaks the sequence into segments if there is, then extends the longest segment with uniform depth of coverage, and repeats these procedures until the sequence cannot be extended. Finally, Virseqimprover annotates the gene content of the resulting sequence. Results show that Virseqimprover has good performances on correcting and extending viral contigs to their full lengths, hence can be a useful tool to improve the completeness and minimize the assembly errors of viral contigs. Both a web server and a conda package for Virseqimprover are provided to the research community free of charge.

De novo transcriptome assembly and discovery of drought-responsive genes in white spruce (Picea glauca)

Forests face an escalating threat from the increasing frequency of extreme drought events driven by climate change. To address this challenge, it is crucial to understand how widely distributed species of economic or ecological importance may respond to drought stress. In this study, we examined the transcriptome of white spruce (Picea glauca (Moench) Voss) to identify key genes and metabolic pathways involved in the species' response to water stress. We assembled a de novo transcriptome, performed differential gene expression analyses at four time points over 22 days during a controlled drought stress experiment involving 2-year-old plants and three genetically distinct clones, and conducted gene enrichment analyses. The transcriptome assembly and gene expression analysis identified a total of 33,287 transcripts corresponding to 18,934 annotated unique genes, including 4,425 genes that are uniquely responsive to drought. Many transcripts that had predicted functions associated with photosynthesis, cell wall organization, and water transport were down-regulated under drought conditions, while transcripts linked to abscisic acid response and defense response were up-regulated. Our study highlights a previously uncharacterized effect of drought stress on lipid metabolism genes in conifers and significant changes in the expression of several transcription factors, suggesting a regulatory response potentially linked to drought response or acclimation. Our research represents a fundamental step in unraveling the molecular mechanisms underlying short-term drought responses in white spruce seedlings. In addition, it provides a valuable source of new genetic data that could contribute to genetic selection strategies aimed at enhancing the drought resistance and resilience of white spruce to changing climates.

A functional microbiome catalogue crowdsourced from North American rivers

Predicting elemental cycles and maintaining water quality under increasing anthropogenic influence requires knowledge of the spatial drivers of river microbiomes. However, understanding of the core microbial processes governing river biogeochemistry is hindered by a lack of genome-resolved functional insights and sampling across multiple rivers. Here we used a community science effort to accelerate the sampling, sequencing and genome-resolved analyses of river microbiomes to create the Genome Resolved Open Watersheds database (GROWdb). GROWdb profiles the identity, distribution, function and expression of microbial genomes across river surface waters covering 90% of United States watersheds. Specifically, GROWdb encompasses microbial lineages from 27 phyla, including novel members from 10 families and 128 genera, and defines the core river microbiome at the genome level. GROWdb analyses coupled to extensive geospatial information reveals local and regional drivers of microbial community structuring, while also presenting foundational hypotheses about ecosystem function. Building on the previously conceived River Continuum Concept1, we layer on microbial functional trait expression, which suggests that the structure and function of river microbiomes is predictable. We make GROWdb available through various collaborative cyberinfrastructures2,3, so that it can be widely accessed across disciplines for watershed predictive modelling and microbiome-based management practices.

Metagenomic mining unveils a novel GH130 enzyme with exclusive xylanase activity over a wide temperature and pH ranges

The equine gut harbors a diverse microbial community and represents a rich source of carbohydrate-active enzymes (CAZymes). To identify and characterize potentially novel CAZymes from a horse's hindgut metagenome, shotgun metagenomic sequencing was performed on DNA extracted from a stool sample of a male horse, followed by CAZyme annotation. Here, we report on the characterization of a novel enzyme (AH2) that was identified, synthesized, cloned, and characterized from the obtained CAZyme dataset. AH2 was identified as a GH130 family member and displayed exclusive xylanase activity, a trait hitherto unreported in prior characterization of GH130 CAZymes. AH2 displayed an optimal activity at a pH of 5.6 and a temperature of 50°C. AH2 maintained significant activity across a pH range of 4-10 (62-72%) and temperatures of 30-70°C (77-86%). The enzyme had remarkable stability, with minimal reductions in activity across a temperature range of 4-70°C and pH levels of 3, 7, and 9. Docking studies identified AH2's amino acids (Glu90 and Glu149) to be involved in substrate binding. Molecular dynamics simulation confirmed the structural stability of AH2 at pH 5.6 and 50°C, further supporting its resilience under these conditions. Our results expand on the known activities associated with the GH130 CAZyme family and demonstrate that the horse gut metagenome represents an unexplored source of novel CAZymes.

ONE-SENTENCE SUMMARY

A novel activity for members of the CAZyme family GH130.

The complete mitochondrial genome and phylogenetic implications of Paradoxopsyllus custodis and Stenischia montanis yunlongensis

Fleas, which are ubiquitous small wingless parasitic insects, have a significant impact on human and animal health globally. In this study, we sequenced and analyzed the complete mitochondrial genomes of Paradoxopsyllus custodis and Stenischia montanis yunlongensis. The lengths of these genomes were 15,375 bp and 15,651 bp respectively, encompassing a total of 37 genes. Notably, all nucleotide combinations displayed a marked AT preference, with ATN as start codon for all 13 protein-coding genes in both species. Furthermore, only two genes in Paradoxopsyllus custodis were terminated with an incomplete stop codon T(AA). The five most frequently utilized codons among the 13 PCGs in both species ended with A / U, and their relative synonymous codon usage values surpassed 2. Phylogenetic relationships among fleas were assessed using maximum likelihood (ML) and Bayesian inference (BI), providing support for the paraphyletic of Leptopsyllidae. This study not only enhances our understanding of the mitochondrial genome within the genera Paradoxopsyllus and Stenischia, but also offers valuable genetic markers for the taxonomic identification and phylogenetic evolution within the order Siphonaptera.