Gene Cluster Research Articles

Deciphering the ABA and GA biosynthesis approach of Bacillus pumilus, mechanistic approach, explaining the role of metabolic region as an aid in improving the stress tolerance

Bacillus pumilus plays an essential role in agricultural applications as a beneficial microbe and for sustainable agriculture production. However, the underlying mechanisms of B. pumilus strains remain unclear as to how they are beneficial for plants as stress tolerant and growth promoters. Bacillus pumilus was isolated from the rhizosphere soil of Artemisia vulgaris. NGS (next-generation sequencing) was performed for the strain to gain new insights into the molecular mechanisms underlying plant-microbial interactions. NGS revealed 3,910 genes, 3294 genes with protein-coding, and 11 functional genomic regions related to diverse agronomic traits including stress tolerance. We identified the two possible phytohormone biosynthesis approaches from metabolic regions1(terpense→diterpense→betacarotene→xanthoxin→ABA)2(terpense→diterpense→geranyl diphosphate →C20 →GA). Several gene clusters related to the biosynthesis of phytohormones, stress tolerance, and agricultural diversification were predicted. The genome provides insights into the possible mechanisms of this bacterium for stress tolerance and its future applications. The genomic organization of B. pumilus revealed several hallmarks of its plant growth promotion and pathogen suppression activities. Our results provide detailed genomic information for the strain and reveal its potential stress tolerance mechanisms, laying the foundation for developing effective stress tolerance strategies against abiotic stress.

Pattern-Based Genome Mining Guides Discovery of the Antibiotic Indanopyrrole A from a Marine Streptomycete.

Terrestrial actinomycetes in the genus Streptomyces have long been recognized as prolific producers of small-molecule natural products, including many clinically important antibiotics and cytotoxic agents. Although Streptomyces can also be isolated from marine environments, their potential for natural product biosynthesis remains underexplored. The MAR4 clade of largely marine-derived Streptomyces has been a rich source of novel halogenated natural products of diverse structural classes. To further explore the biosynthetic potential of this group, we applied pattern-based genome mining, leading to the discovery of the first halogenated pyrroloketoindane natural products, indanopyrrole A (1) and B (2), and the bioinformatic linkage of these compounds to an orphan biosynthetic gene cluster (BCG) in 20 MAR4 genomes. Indanopyrrole A displays potent broad-spectrum antibiotic activity against clinically relevant pathogens. A comparison of the putative indanopyrrole BGC with that of the related compound indanomycin provides new insights into the terminal cyclization and offloading mechanisms in pyrroloketoindane biosynthesis. Broader searches of public databases reveal the rarity of this BGC while also highlighting opportunities for discovering additional compounds in this uncommon class.

The ABC transporter SmABCG1 mediates tanshinones export from the peridermic cells of Salvia miltiorrhiza root.

Plants have mechanisms to transport secondary metabolites from where they are biosynthesized to the sites where they function, or to sites such as the vacuole for detoxification. However, current research has mainly focused on metabolite biosynthesis and regulation, and little is known about their transport. Tanshinone, a class diterpenoid with medicinal properties, is biosynthesized in the periderm of Salvia miltiorrhiza roots. Here, we discovered that tanshinone can be transported out of peridermal cells and secreted into the soil environment and that the ABC transporter SmABCG1 is involved in the efflux of tanshinone ⅡA and tanshinone Ⅰ. The SmABCG1 gene is adjacent to the diterpene biosynthesis gene cluster in the S. miltiorrhiza genome. The temporal-spatial expression pattern of SmABCG1 is consistent with tanshinone accumulation profiles. SmABCG1 is located on the plasma membrane and preferentially accumulates in the peridermal cells of S. miltiorrhiza roots. Heterologous expression in Xenopus laevis oocytes demonstrated that SmABCG1 can export tanshinone ⅡA and tanshinone Ⅰ. CRISPR/Cas9-mediated mutagenesis of SmABCG1 in S. miltiorrhiza hairy roots resulted in a significant decrease in tanshinone contents in both hairy roots and the culture medium, whereas overexpression of this gene resulted in increased tanshinone contents. CYP76AH3 transcript levels increased in hairy roots overexpressing SmABCG1 and decreased in knockout lines, suggesting that SmABCG1 may affect the expression of CYP76AH3, indirectly regulating tanshinone biosynthesis. Finally, tanshinone ⅡA showed cytotoxicity to Arabidopsis roots. These findings offer new perspectives on plant diterpenoid transport and provide a new genetic tool for metabolic engineering and synthetic biology research.

Discovery of nostatin A, an azole-containing proteusin with prominent cytostatic and pro-apoptotic activity.

Ribosomally synthesized and post-translationally modified peptides (RiPPs) are intriguing compounds with potential pharmacological applications. While many RiPPs are known as antimicrobial agents, a limited number of RiPPs with anti-proliferative effects in cancer cells are available. Here we report the discovery of nostatin A (NosA), a highly modified RiPP belonging among nitrile hydratase-like leader peptide RiPPs (proteusins), isolated from a terrestrial cyanobacterium Nostoc sp. Its structure was established based on the core peptide sequence encoded in the biosynthetic gene cluster recovered from the producing strain and subsequent detailed nuclear magnetic resonance and high-resolution mass spectrometry analyses. NosA, composed of a 30 amino-acid peptide core, features a unique combination of moieties previously not reported in RiPPs: the simultaneous presence of oxazole/thiazole heterocycles, dehydrobutyrine/dehydroalanine residues, and a sactionine bond. NosA includes an isobutyl-modified proline residue, highly unusual in natural products. NosA inhibits proliferation of multiple cancer cell lines at low nanomolar concentration while showing no hemolysis. It induces cell cycle arrest in S-phase followed by mitochondrial apoptosis employing a mechanism different from known tubulin binding and DNA damaging compounds. NosA also inhibits Staphylococcus strains while it exhibits no effect in other tested bacteria or yeasts. Due to its novel structure and selective bioactivity, NosA represents an excellent candidate for combinatorial chemistry approaches leading to development of novel NosA-based lead compounds.

Metagenomic insights and biosynthetic potential of Candidatus Entotheonella symbiont associated with Halichondria marine sponges.

Korea, being surrounded by the sea, provides a rich habitat for marine sponges, which have been a prolific source of bioactive natural products. Although a diverse array of structurally novel natural products has been isolated from Korean marine sponges, their biosynthetic origins remain largely unknown. To explore the biosynthetic potential of Korean marine sponges, we conducted metagenomic analyses of sponges inhabiting the East Sea of Korea. This analysis revealed a symbiotic association of Candidatus Entotheonella bacteria with Halichondria sponges. Here, we report a new chemically rich Entotheonella variant, which we named Ca. Entotheonella halido. Remarkably, this symbiont makes up 69% of the microbial community in the sponge Halichondira dokdoensis. Genome-resolved metagenomics enabled us to obtain a high-quality Ca. E. halido genome, which represents the largest (12 Mb) and highest quality among previously reported Entotheonella genomes. We also identified the biosynthetic gene cluster (BGC) of the known sponge-derived Halicylindramides from the Ca. E. halido genome, enabling us to determine their biosynthetic origin. This new symbiotic association expands the host diversity and biosynthetic potential of metabolically talented bacterial genus Ca. Entotheonella symbionts.IMPORTANCEOur study reports the discovery of a new bacterial symbiont Ca. Entotheonella halido associated with the Korean marine sponge Halichondria dokdoensis. Using genome-resolved metagenomics, we recovered a high-quality Ca. E. halido MAG (Metagenome-Assembled Genome), which represents the largest and most complete Ca. Entotheonella MAG reported to date. Pangenome and BGC network analyses revealed a remarkably high BGC diversity within the Ca. Entotheonella pangenome, with almost no overlapping BGCs between different MAGs. The cryptic and genetically unique BGCs present in the Ca. Entotheonella pangenome represents a promising source of new bioactive natural products.

Optimized Production of Concanamycins Using a Rational Metabolic Engineering Strategy

Plecomacrolides, such as concanamycin and bafilomycin, are potent and specific inhibitors of vacuolar-type ATPase. Concanamycins are 18-membered macrolides with promising therapeutic potential against multiple diseases, including viral infection, osteoporosis, and cancer. Due to the complexity of their total synthesis, the production of concanamycins is only achieved through microbial fermentation. However, the low titers of concanamycin A and its analogs in the native producing strains are a significant bottleneck for scale-up, robust structure-activity relationship studies, and drug development. To address this challenge, we designed a library of engineered Streptomyces strains for the overproduction of concanamycins by combining the overexpression of target regulatory genes with the optimization of fermentation media. Integration of two endogenous regulators from the concanamycin biosynthetic gene cluster (cms) and one heterologous regulatory gene from the bafilomycin biosynthetic gene cluster into the attB site significantly increased production of concanamycin A and its low abundant analog concanamycin B in Streptomyces eitanensis. The highest titers reported to date were observed in the engineered S. eitanensis DHS10676, which produced over 900 mg/L of concanamycin A and 300 mg/L of concanamycin B. Heterologous overexpression of the identified target regulatory genes across a panel of Streptomyces spp., harboring a putative concanamycin biosynthetic gene cluster confirmed its identity, and significantly improved concanamycin A production in all tested strains. Strain engineering, optimization of fermentation, and extraction purification protocols enabled swift access to these structurally complex plecomacrolides for semi-synthetic medicinal chemistry-based approaches. Together, this work established a platform for robust overproduction of concanamycin analogs across species.

Animal-encoded nonribosomal pathway to bursatellin analogs.

The bursatellin-oxazinin family is a series of tyrosine-derived, nitrile-containing marine natural products from gastro-pod and bivalve molluscs. Although the first analogs were identified and associated with toxicity forty years ago, their biosynthetic origins were unknown. During an investigation of published mollusc genomes and transcriptomes, we serendipitously identified a putative bursatellin biosynthetic gene cluster (referred hereafter as the bur-ox pathway). Through biochemical characterization of some bur-ox genes, we provide evidence suggesting that bursatellin-type metabolites are produced by molluscs themselves rather than by their microbial symbionts. We show that the reductive domain from a monomodular nonribosomal peptide synthetase (NRPS) protein FmtATR performs a four-electron reduction to produce tyrosinols from tyrosine derivatives. Moreover, an aminocarboxypro-pyltransferase enzyme, ACT, uses S -adenosylmethionine (SAM) to transform tyrosinols into their phenolic homoserine ethers, which in bursatellin is further modified to the nitrile. Widespread occurrence of bur-ox in molluscs suggests a common biosynthetic origin for bursatellins and oxazinins as well as an important but currently unidentified physiological role for this metabolite family in molluscs inhabiting diverse ecological niches. Further, the presence of bur-ox pathway homologs in many culinary bivalves such as mussels and geoducks suggests that possible impacts on human consumers should be investigated. As one of the few NRPS pathways of animal origin to be characterized, bur-ox sheds light on underappreciated chemical and biochemical diversity in animals.

Genetic neonatal seizures in the neonatal intensive care unit: Diagnostic and prognostic implications for three families.

We investigated neonatal seizures in three probands admitted to the neonatal intensive care units and their affected family members. Whole exome sequencing (WES) was performed along with confirmation by Sanger sequencing and segregation analysis. Copy number variant (CNV) analysis was also conducted. Neuroimaging, electroencephalography, and metabolic analysis revealed clinical phenotypes. Bi-allelic variants c.1025T>C and c.1150G>A in MOCS1 were found in twin girls with molybdenum cofactor deficiency. The c.1025T>C variant was novel. A c.877C>T variant in KCNQ2 co-segregated with seizures in a family. A de novo 6.25 Mb duplication on 2q24.3 encompassing SCN1A, SCN2A, and SCN3A was identified in a proband who demonstrated normal development without seizures on follow-up. WES facilitated the molecular diagnosis of neonatal seizures in the study participants. Variants in the KCNQ2 and MOCS1 genes were classified as likely pathogenic based on our findings. The individual with a duplication of the sodium channel gene cluster on 2q24.3 exhibited additional phenotypes. Our investigation expanded the genotype-phenotype spectrum.

Annotation of transcription factors, chromatin-associated factors, and basal transcription machinery in the pea aphid, Acyrthosiphon pisum, and development of the ATFdb database, a resource for studies of transcriptional regulation

The pea aphid, Acyrthosiphon pisum, is an emerging model system in functional and comparative genomics, in part due to the availability of new genomic approaches and the different sequencing and annotation efforts that the community has dedicated to this important crop pest insect. The pea aphid is also used as a model to study fascinating biological traits of aphids, such as their extensive polyphenisms, their bacteriocyte-confined nutritional symbiosis, or their adaptation to the highly unbalanced diet represented by phloem sap. To get insights into the molecular basis of all these processes, it is important to have an appropriate annotation of transcription factors (TFs), which would enable the reconstruction/inference of gene regulatory networks in aphids. Using the latest version of the A. pisum genome assembly and annotation, which represents the first chromosome-level pea aphid genome, we annotated the complete repertoire of A. pisum TFs and complemented this information by annotating genes encoding chromatin-associated and basal transcription machinery proteins. These annotations were done combining information from the model Drosophila melanogaster, for which we also provide a revisited list of these proteins, and de novo prediction. The comparison between the two model systems allowed the identification of major losses or expansions in each genome, while a deeper analysis was made of ZNF TFs (with certain families expanded in the pea aphid), and the Hox gene cluster (showing reorganization in gene position in the pea aphid compared to D. melanogaster). All annotations are available to the community through the Aphid Transcription Factors database (ATFdb), consolidating the various annotations we generated. ATFdb serves as a valuable resource for gene regulation studies in aphids.

CRISPR-Cas9-mediated enhancement of Beauveria bassiana virulence with overproduction of oosporein

Biocontrol agents play a pivotal role in managing pests and contribute to sustainable agriculture. Recent advancements in genetic engineering can facilitate the development of entomopathogenic fungi with desired traits to enhance biocontrol efficacy. In this study, a CRISPR-Cas9 ribonucleoprotein system was utilized to genetically improve the virulence of Beauveria bassiana, a broad-spectrum insect pathogen used in biocontrol of arthropod pests worldwide. CRISPR-Cas9-based disruption of the transcription factor-encoding gene Bbsmr1 led to derepression of the oosporein biosynthetic gene cluster resulting in overproduction of the red-pigmented dibenzoquinone oosporein involved in host immune evasion, thus increasing fungal virulence. Mutants defective for Bbsmr1 displayed a remarkable enhanced insecticidal activity by reducing lethal times and concentrations, while concomitantly presenting negligible or minor pleiotropic effects. In addition, these mutants displayed faster germination on the insect cuticle which correlated with higher density of free-floating blastospores in the hemolymph and accelerated mortality of the host. These findings emphasize the utility of genetic engineering in developing enhanced fungal biocontrol agents with customized phenotypic traits, and provide an efficient and versatile genetic transformation tool for application in other beneficial entomopathogenic fungi.

Exploring the Genome of the Endophytic Fungus Botrytis deweyae: Prediction of Novel Secondary Metabolites Gene Clusters: Terpenes and Polyketides

Fungi have played a pivotal role in human history, from the dangers of fungal toxins to the revolutionary discovery of penicillin. Fungal secondary metabolites (SMs), such as polyketides (PKs) and terpenes, have attracted considerable interest due to their diverse biological activities. Botrytis deweyae, an endophytic fungus, exhibits behaviors that are notably distinct from those of its necrotrophic relatives within the genus Botrytis. This study explores the importance of terpenes and PK gene clusters and their conservation between species. In addition, new putative biosynthetic gene clusters corresponding to those families were identified. Consequently, the new PKS BdPKS22-26 were also identified in other Botrytis species and other fungi. In addition, those new gene clusters identified in this work show differences in the degree of conservation and are phylogenetically closely related to some of the 21 PKSs previously described in the reference strain Botrytis cinerea B05.10. Moreover, a new gene cluster related to terpenes in B. deweyae B1 and B. cinerea B05.10 was also identified that had never been detected before. This new gene cluster is well conserved among other Botrytis species in many phylogenetically distant fungal lineages. Understanding the genetic basis and conservation of these putative biosynthetic gene clusters sheds light on the metabolic potential and ecological roles of B. deweyae and related fungal species.

Genetic structure and potential hybridization between populations of two Penstemon species

Abstract Hybridization is a common phenomenon in plants, facilitating genetic exchange and contributing to evolutionary innovation. In Penstemon, which boasts a diverse array of species with varying pollination syndromes, hybridization has been extensively documented. In this study, we employed nine nuclear microsatellites to investigate the genetic differentiation between Penstemon gentianoides and P. roseus populations, along with two populations of potentially hybrid morphotypes. Our results reveal significant genetic differentiation among populations, particularly between sympatric and allopatric populations of P. gentianoides and P. roseus. Bayesian analyses identified three genetic clusters, the first corresponding to individuals of sympatric and allopatric P. roseus populations, and the second and third to intermixed individuals of sympatric and allopatric P. gentianoides populations and intermediate morphotypes. Sympatric populations of both parental species exhibit signs of admixture. Contemporary and historical migration rates were low and asymmetrical among populations, with higher migration rates from the ‘fuchsia’ morphotype to P. gentianoides populations. The significant and positive correlation between migration rates suggests that migration patterns have remained relatively stable over time. These findings underscore the complex dynamics of genetic exchange and hybridization between Penstemon populations, highlighting the need for further research to understand population differentiation in the presence of gene flow.

Microbial communities associated with marine sponges from diverse geographic locations harbor biosynthetic novelty.

Marine sponges are a prolific source of biologically active small molecules, many of which originate from sponge-associated bacteria. Identifying the producing bacteria is a key step in developing sustainable routes for the production of these metabolites. To facilitate the required computational analyses, we developed MetaSing, a reproducible singularity-based pipeline for assembly, identification of high-quality metagenome-assembled genomes (MAGs), and analysis of biosynthetic gene clusters (BGCs) from metagenomic short-read data. We applied this pipeline to metagenomic sequencing data from 16 marine sponges collected from New Zealand, Tonga, and the Mediterranean Sea. This analysis yielded 643 MAGs representing 510 species. Of the 2,670 BGCs identified across all samples, 70.8% were linked to a MAG. Comparison of BGCs to those identified from previously sequenced bacteria revealed high biosynthetic novelty in variety of underexplored phyla, including Poribacteria, Acidobacteriota, and Dadabacteria. Alongside the observation that each sample contains unique biosynthetic potential, this holds great promise for natural product discovery and for furthering the understanding of different sponge holobionts.IMPORTANCEDiscovery of new chemical compounds such as natural products is a crucial endeavor to combat the increasing resistance to antibiotics and other drugs. This manuscript demonstrates that microbial communities associated with marine sponges investigated in this work encode the potential to produce novel chemistry. Lesser studied bacterial taxa that are often difficult to cultivate are particularly rich in potential.

Genome-Based Mining of Carpatamides I-M and Their Candidate Biosynthetic Gene Cluster.

Chemically investigating the marine-derived Streptomyces parvus 1268 led to the isolation of a new compound of carpatamide I (1). Subsequent genomic analysis identified its candidate biosynthetic gene cluster ctd of approximately 44 kb. In order to obtain more carpatamide derivatives, we conducted the upregulation of Ctd14, which is a positive regulator, and obtained improvement of carpatamide I and four new compounds of carpatamides J-M (2-5). The structures of the aforementioned five new isolates were identified by a combination of ESI-HRMS as well as one-dimensional (1D) and two-dimensional (2D) spectral NMR datasets. Bioassay results showed that compounds 1-5 displayed anti-inflammatory activity and weak cytotoxicity against cell lines of A549, HT-29, and HepG2.

The PLSDB 2025 update: enhanced annotations and improved functionality for comprehensive plasmid research.

Plasmids are extrachromosomal DNA molecules in bacteria and archaea, playing critical roles in horizontal gene transfer, antibiotic resistance, and pathogenicity. Since its first release in 2018, our database on plasmids, PLSDB, has significantly grown and enhanced its content and scope. From 34513 records contained in the 2021 version, PLSDB now hosts 72360 entries. Designed to provide life scientists with convenient access to extensive plasmid data and to support computer scientists by offering curated datasets for artificial intelligence (AI) development, this latest update brings more comprehensive and accurate information for plasmid research, with interactive visualization options. We enriched PLSDB by refining the identification and classification of plasmid host ecosystems and host diseases. Additionally, we incorporated annotations for new functional structures, including protein-coding genes and biosynthetic gene clusters. Further, we enhanced existing annotations, such as antimicrobial resistance genes and mobility typing. To accommodate these improvements and to host the increase plasmid sets, the webserver architecture and underlying data structures of PLSDB have been re-reconstructed, resulting in decreased response times and enhanced visualization of features while ensuring that users have access to a more efficient and user-friendly interface. The latest release of PLSDB is freely accessible at https://www.ccb.uni-saarland.de/plsdb2025.

Discovery of Sporachelins by Genome Mining of a Micromonospora Strain.

Myxochelins are a group of catecholate siderophores encoded by mxc biosynthetic gene clusters (BGCs). They are mainly produced by myxobacteria and display a wide variety of bioactivities. Herein, we report a group of new myxochelins produced not by a myxobacterial strain but by an actinobacteria strain, Micromonospora sp. TMD166. They consisted of six new compounds, designated as sporachelins A (1), A1 (2), B (3), C (4), D (5), and E (6), and the known compound myxochelin A (7). The planar structures were determined by comprehensive analyses of 1D and 2D NMR spectroscopic data, and the absolute configurations were confirmed by Marfey's analysis and chemical synthesis. The six sporachelins are the first examples of acylated derivatives at the primary alcohol of myxochelin A. These molecules were found to inhibit human 5-lipoxygenase. In addition, 1-7 exhibited antifibrotic activity in the TGFβ1-induced human hepatic cell line LX-2 by suppressing fibrosis-related genes COL1A1, ACTA2, and TGFB1 expression. This is the first report of antifibrotic activity by myxochelins.

Identification of STAT3 and MYC as critical ferroptosis-related biomarkers in septic cardiomyopathy: a bioinformatics and experimental study.

Ferroptosis is the well-known mechanism of septic cardiomyopathy (SCM). Bioinformatics analysis was employed to identify ferroptosis-related SCM differentially expressed genes (DEG). DEGs' functional enrichment was explored. Weighted gene co-expression network analysis (WGCNA) was employed to form gene clusters. The identified hub genes, signal transducer and activator of transcription 3 (STAT3) and myelocytomatosis (MYC) were further evaluated by generating receiver operator characteristic (ROC) curves and a nomogram prediction model. Additionally, survival rate, cardiac damage markers, and cardiac function and ferroptosis markers were evaluated in septic mouse model. STAT3 and MYC levels were measured in SCM heart tissue via immunohistochemical (IHC) staining, real-time polymerase chain reaction (qPCR) and western blot analysis. Analysis identified 225 DEGs and revealed 22 intersected genes. Of the 7 hub genes, STAT3 and MYC showed enrichment in septic heart tissue and a strong predicative ability based on AUC values. Cardiac damage, iron metabolism, and lipid peroxidation occurred in the SCM model. By experiments, STAT3 and MYC expression was increased in the SCM model. Impairment was reversed with a ferroptosis inhibitor, Fer-1. As conclusion, STAT3 and MYC are related with ferroptosis and may serve as potential SCM predictor indicators. KEY MESSAGES: Septic cardiomyopathy (SCM) often leads to high mortality in septic patients, and the diagnostic criteria still remains unclear. Ferroptosis as the pathogenic mechanism of SCM could help predict its progression and clinical outcomes. STAT3 and MYC are related with ferroptosis and may serve as potential SCM predictor biomarkers.

Description of the first marine-isolated member of the under-represented phylum Gemmatimonadota, and the environmental distribution and ecogenomics of Gaopeijiales ord. nov.

The phylum Gemmatimonadota is widespread but rarely cultured and, in fact, there are only six described species isolated from soil, freshwater, and wastewater treatment. However, no isolates of Gemmatimonadota from marine environment have been described; thus, little is known about the physiology and metabolism of members of the marine lineages. In this study, four novel facultatively anaerobic bacterial strains belonging to Gemmatimonadota were isolated from marine sediments collected from Xiaoshi Island in Weihai, China, using an aerobic enrichment method. The integrated results of phylogenetic and phenotypic characteristics supported that these four strains represent one novel species in a novel genus, for which the name Gaopeijia maritima gen. nov., sp. nov. is proposed, as the first representative of novel taxa, Gaopeijiales ord. nov., Gaopeijiaceae fam. nov. in the class Longimicrobiia. Gaopeijiales was detected in 22,884 out of 95,549 amplicon data sets, mainly from soil. However, the highest mean relative abundances were in sponge (0.7%) and marine sediment (0.35%), showing salt-related character. Most of the Gaopeijiales subgroups potentially belong to the rare bacterial biosphere. The aerobic enrichment in this study could significantly increase the relative abundance of Gaopeijiales (from 0.37% to 2.6%). Furthermore, the metabolic capabilities inferred from high-quality representative Gaopeijiales genomes/MAGs suggest that this group primarily performs chemoorganoheterotrophic metabolism with facultatively anaerobic characteristics and possesses various secondary metabolite biosynthesis gene clusters (BGCs), mirroring those observed in the four novel strains.IMPORTANCEDespite rapid advances in molecular and sequencing technologies, obtaining pure cultures remains a crucial research goal in microbiology, as it is essential for a deeper understanding of microbial metabolism. Gemmatimonadota is a widespread but rarely cultured bacterial phylum. Currently, there are only six cultured strains of this interesting group, all isolated from non-marine environments. Little is known about the physiology and metabolism of members of the marine lineages. Here we isolated and characterized four novel marine strains, and proposed a new order Gaopeijiales within Gemmatimonadota. Furthermore, the global distribution, environmental preference, and metabolic potential of Gaopeijiales are analyzed using public data. Our work enriches the resources available for the under-represented phylum Gemmatimonadota and provides insights into the physiological and metabolic characteristics of the marine lineage (Gaopeijiales) through culturology and omics.

Gut metatranscriptomics based de novo assembly reveals microbial signatures predicting immunotherapy outcomes in non-small cell lung cancer.

Advanced-stage non-small cell lung cancer (NSCLC) poses treatment challenges, with immune checkpoint inhibitors (ICIs) as the main therapy. Emerging evidence suggests the gut microbiome significantly influences ICI efficacy. This study explores the link between the gut microbiome and ICI outcomes in NSCLC patients, using metatranscriptomic (MTR) signatures. We utilized a de novo assembly-based MTR analysis on fecal samples from 29 NSCLC patients undergoing ICI therapy, segmented according to progression-free survival (PFS) into long (> 6months) and short (≤ 6months) PFS groups. Through RNA sequencing, we employed the Trinity pipeline for assembly, MMSeqs2 for taxonomic classification, DESeq2 for differential expression (DE) analysis. We constructed Random Forest (RF), Support Vector Machine (SVM), and Extreme Gradient Boosting (XGBoost) machine learning (ML) algorithms and comprehensive microbial profiles. We detected no significant differences concerning alpha-diversity, but we revealed a biologically relevant separation between the two patient groups in beta-diversity. Actinomycetota was significantly overrepresented in patients with short PFS (vs long PFS, 36.7% vs. 5.4%, p < 0.001), as was Euryarchaeota (1.3% vs. 0.002%, p = 0.009), while Bacillota showed higher prevalence in the long PFS group (66.2% vs. 42.3%, p = 0.007), when comparing the abundance of corresponding RNA reads. Among the 120 significant DEGs identified, cluster analysis clearly separated a large set of genes more active in patients with short PFS and a smaller set of genes more active in long PFS patients. Protein Domain Families (PFAMs) were analyzed to identify pathways enriched in patient groups. Pathways related to DNA synthesis and Translesion were more enriched in short PFS patients, while metabolism-related pathways were more enriched in long PFS patients. E. coli-derived PFAMs dominated in patients with long PFS. RF, SVM and XGBoost ML models all confirmed the predictive power of our selected RNA-based microbial signature, with ROC AUCs all greater than 0.84. Multivariate Cox regression tested with clinical confounders PD-L1 expression and chemotherapy history underscored the influence of n = 6 key RNA biomarkers on PFS. According toML models specific gut microbiome MTR signatures' associate with ICI treated NSCLC outcomes. Specific gene clusters and taxa MTR gene expression might differentiate long vs shortPFS.

Deep Learning Based Clustering of Gene Expression Data in Cancer Patients using Variational Autoencoder Model

Background: High mortality associated with cancer presents challenges in both diagnosis and treatment. Deep learning-based clustering analysis provides a powerful tool for identifying molecular subtypes within cancer enabling personalized treatment strategies. Objectives: This project has two objectives: (1) to cluster gene expression data for cancer patients into unique subtypes to uncover novel biological insights and improve patient outcomes; (2) to identify unique molecular signatures driving each cluster. Methods: GDC Pan-Cancer data, consisting of 33 tumor types with 11,506 samples and 32,967 gene expression features, from TCGA repository was used. Outliers were identified using interquartile criterion, and replaced using multiple imputation by chained equations. A variational autoencoder (VAE) model was used to extract latent representations within the gene expression data. These latent features were then utilized in K-Means clustering to identify distinct clusters based on similarity in gene expression profiles. Survival rate and median survival time for each cluster were computed, and statistical tests were used to determine the significance of the observed differences. Finally, gene signatures for individual clusters were developed using standardized mean difference (SMD) analysis, determining features significant in one cluster vs the others (p&lt;0.05). Results: Survival rates vary significantly across clusters (p&lt;0.05). Clustering helped identify clusters with low survival rates. Subsequently, distinct gene signatures identified for each cluster helped determine molecular mechanisms driving survival outcomes. Conclusion: A deep learning-based model efficiently groups cancer patients, revealing unique molecular signatures within each subgroup. Screening and prioritizing treatment for patients in subgroups with lower survival rates could enhance patient management.