Biology subjects

Ma, Q.

Publications and source records attributed to Ma, Q..

At least 55 records · Page 3Linked to original sources

bioRxiv2025

A novel AAA+ ATPase required for sporulation and stress response in Bacillus anthracis

AAA+ proteins function as molecular machines that utilize ATP to perform diverse cellular functions, including protein homeostasis, stress regulation, and cell cycle/developmental processes. In this study, we identified a novel AAA+ ATPase BAS PrkA in B. anthracis Sterne 34F2 which has 88 % protein homology to Bacillus subtilis PrkA. Conserved domain analysis confirms BAS PrkA has an N-terminal AAA+ ATPase domain with characteristic Walker A and Walker B motifs and a conserved secondary region of homology (SRH) domain, along with a C-terminal cAMP-dependent protein kinase domain. Based on Alpha Fold3 predicted structure, we classified BAS PrkA as part of Clade III of the AAA+ superfamily. Contrary to the reported enzymatic activity in B. subtilis PrkA, we observed that BAS PrkA has negligible protease and kinase activity under in-vitro conditions. Nonetheless, BAS PrkA plays a significant role in regulating sporulation. It is temporally expressed during Stages II to VI during sporulation. A null mutant of BAS PrkA exhibits severe sporulation defects, with reduced spore viability, and down regulation of genes related to spore-coat formation. These phenotypes were restored in a complementation strain expressing BAS PrkA ectopically. Additionally, the null mutant strain showed compromised growth under ionic-osmotic stress conditions. Analysis of the BAS PrkA interactome revealed enrichment of two proteins, ProA and EzrA, that are implicated in osmotic stress response and the sporulation process, respectively. These findings show that BAS PrkA plays a critical role in sporulation and osmotic stress response in B. anthracis.

microbiology↗

bioRxiv2025

The ATO gene family governs Candida albicans colonisation in the dysbiotic gastrointestinal tract

The fungal pathogen Candida albicans colonises the human gut where short-chain fatty acids (SCFAs) offer sources of carbon. This fungus harbours one of the largest microbial families of ATO (Acetate Transport Ortholog) genes, which encode putative SCFA transport proteins. Here, we generate C. albicans null mutants lacking individual or all known putative SCFA transporter genes and compare their phenotypes in vitro and in vivo. We show that blocking ATO function in C. albicans impairs SCFA uptake and growth, particularly on acetate. The uptake of acetate is largely dependent on a functional Ato1 (also known as Frp3/Ato3) and it is effectively abolished upon deletion of all ATO genes. We further demonstrate that deletion of the entire ATO gene family, but not inactivation of ATO1 alone, compromises the stable colonisation of C. albicans in the murine gastrointestinal tract following bacterial disruption by broad-spectrum antibiotics. Our data suggest that the ATO gene family has expanded and diversified during the evolution of C. albicans to promote the fitness of this fungal commensal during gut colonisation, in part through SCFA utilisation. IMPORTANCEThe human gut is rich in microbial fermentation products such as SCFAs, which serve as key nutrients for both bacteria and fungi. C. albicans, a common fungal resident of the gut and a cause of opportunistic infections, carries an unusually large family of ATO genes. This study reveals that this ATO gene family is required for the efficient uptake of acetate, the most abundant SCFA in the gut, and for stable colonisation of the gut. These findings uncover a new layer of metabolic adaptation in fungal commensals of humans and suggest that transporter gene expansion can shape microbial fitness in response to environmental nutrient signals.

microbiology↗

bioRxiv2025

Deep-learning-enabled multi-omics analyses for prediction of future metastasis in cancer

Metastasis remains the leading cause of cancer-related mortality, yet predicting future metastasis is a major clinical challenge due to the lack of validated biomarkers and effective assessment methods. Here, we present EmitGCL, a deep-learning framework that accurately predicts future metastasis and its corresponding biomarkers. Based on a comprehensive benchmarking comparison, EmitGCL outperformed other computational tools across six cancer types from seven cohorts of patients with superior sensitivity and specificity. It captured occult metastatic cells in a patient with a lymph node-negative breast cancer, who was declared to have no evidence of disease by conventional imaging methods but was later confirmed to have a metastatic disease. Notably, EmitGCL identified HSP90AA1 and HSP90AB1 as predictable biomarkers for future breast cancer metastasis, which was validated across five independent cohorts of patients (n=420). Furthermore, we demonstrated YY1 transcription factor as a key driver of breast cancer metastasis which was validated through in-silico and CRISPR-based migration assays, suggesting that YY1 is a potential therapeutic target for deterring metastasis.

bioinformatics↗

bioRxiv2025

Divergent photosynthesis and leaf respiration responses of four common subtropical tree species to modest warming

Subtropical forests are vital to global carbon pools, and their responses to increasing warming may significantly influence carbon sequestration. However, how subtropical tree species adjust the photosynthesis and respiration process in response to climatic warming through phenotypic plasticity is still unclear which is critical for predicting future forest carbon dynamics. In this study we investigate the effects of controlled warming experiment (1.5 {+/-} 0.5) on growth and leaf economic traits especially photosynthesis and respiration in four common subtropical tree species. Our findings reveal that modest warming enhanced photosynthesis, stomatal conductance, and night respiration, leaf anatomical traits as well as growth in Schima superba, Ormosia pinnata, and Pinus massoniana, of those species under warming. In contrast, Castanopsis hystrix demonstrated reduced performance in all measured traits because it may lack adaptive traits critical for warming resilience, indicating a divergent response to the same environmental condition. Our findings highlight the species-specific variation in how subtropical trees adjust traits associated with trees capacity to acclimate to increased temperatures. Specifically, Ormosia pinnata, Pinus massoniana, and Schima superba may exhibit beneficial responses to warming, whereas Castanopsis hystrix may experience negative effects in future climatic conditions which alters future carbon storage and tree diversity. Thus, our study offers new insights for further research on common trees under warming to improve predictions of forest dynamics under climate change, aiding conservation efforts to address environmental pressures.

ecology↗

bioRxiv2025

Harnessing the Power of Single-Cell Large Language Models with Parameter Efficient Fine-Tuning using scPEFT

Single-cell large language models (scLLMs) capture essential biological insights from vast single-cell atlases but struggle in out-of-context applications, where zero-shot predictions can be unreliable. To address this, we introduce a single-cell parameter-efficient fine-tuning (scPEFT) framework that integrates learnable, low-dimensional adapters into scLLMs. By freezing the backbone model and updating only the adapter parameters, scPEFT efficiently adapts to specific tasks using limited custom data. This approach mitigates catastrophic forgetting, reduces parameter tuning by over 96%, and decreases GPU memory usage by more than half, significantly enhancing scLLMss accessibility for resource-constrained researchers. Validated across diverse datasets, scPEFT outperformed zero-shot models and traditional fine-tuning in disease-specific, cross-species, and under-characterized cell population tasks. Its attention-mechanism analysis identified COVID-related genes associated with specific cell states and uncovered unique blood cell subpopulations, demonstrating scPEFTs capacity for condition-specific interpretations. These findings position scPEFT as an efficient solution for improving scLLMs utilities in general single-cell analyses.

cell biology↗

bioRxiv2025

Epigenetic Modulation, Intra-tumoral Microbiome and Immunity in Early Onset Colorectal Cancer

BackgroundThe incidence of colorectal cancer (CRC) in young adults (age of diagnosis < 50 years old) has been rapidly increasing. Although [~]20% of early-onset (EO) CRC cases are due to germline mutations, the etiology of the majority of EOCRC cases remains poorly understood. Non-genetic factors such as environmental exposure and lifestyle changes are likely to have a direct link to the increased incidence of sporadic EOCRC. We hypothesize that such factors may be observable as differences in the EOCRC epigenome, microbiome and immunome. We sought to address this by comparing differences in DNA methylation from the cohort of colorectal cancer patients in The Cancer Genome Atlas (TCGA). Further, we carefully identified intra-tumoral microbes from TCGA and two other datasets and then related the microbes to EOCRC status and deconvolved immune cell abundances. We found that DNA methylation (DNAm) age acceleration by12 years when compared with average-onset CRC (AOCRC) patients. Differentially methylated sites associated with genes are related to CREB signaling in neurons, G protein coupled receptor signaling, phagosome formation and S100 family signaling. These differences were validated in the gene expression from TCGA and a second, larger real-world dataset from the Oncology Research Information Exchange Network (ORIEN). However, no consistent differences were observed in the intra-tumor microbes between EOCRC and AOCRC. Interestingly, the most abundant microbes interacted with the immune systems differently between the EOCRC and AOCRC tumors, characterized by more, larger, positive correlations in EOCRC. These data suggest epigenetic modulation and accelerated aging may play a key role in the development of EOCRC. SIGNIFICANCEWe investigated whether environmentally driven factors contribute to early-onset colorectal cancer (EOCRC). We observed accelerated epigenetic aging in EOCRC and epigenetic changes associated with chronic inflammation. Tumor immune cell abundances correlated more strongly with microbes in EOCRC than average-onset CRC. These data suggest a dysregulation of immune response in EOCRC, driving chronic inflammation and tissue aging.

cancer biology↗

bioRxiv2025

Deciphering the Pathogenic Landscape of Amyloid Light-Chain Cardiomyopathy

Amyloid light-chain cardiomyopathy (ALCA) is an infiltrative disorder marked by misfolded immunoglobulin light-chain deposition in the myocardium, ultimately leading to cardiac dysfunction. Despite its clinical severity, the underlying mechanisms remain poorly understood. Here, we integrated multi-omics analyses of human cardiac samples to construct a comprehensive cellular and spatial atlas of the ALCA heart. We observed a marked expansion of PTX3+ fibroblasts (FB), which undergo a distinct phenotypic transition into pro-fibrotic POSTN+ FB regulated by EGR1.Concurrently, SPP1+ macrophages (Mac) emerged as major drivers of fibrosis, interacting robustly with PTX3+ FB via APP-CD74, GAS6-MERTK, and TGF-{beta}1-TGF-{beta}1/2 pathways. Endothelial cell (EC) profiling revealed substantial vascular remodeling characterized by the emergence of specialized capillary-like immune endothelial cells expressing chemokines CXCL1, CXCL3, and CCL2, alongside depletion of functional capillary EC. Immunologically, elevated cytotoxic CD8+ T cells and reduced NK cells contributed to an imbalanced inflammatory milieu, with NF{kappa}B2 orchestrating both fibrotic and immune pathways across multiple cell types. These findings highlight the pivotal role of fibroblast-immune crosstalk, particularly the SPP1+ Mac-PTX3+ FB axis, in driving ALCA pathogenesis. Targeting these pathological cellular interactions may offer a promising therapeutic avenue to mitigate fibrosis, restore immune homeostasis, and improve cardiac function in ALCA.

bioinformatics↗

bioRxiv2025

Endocytosis of the damage-associated molecular pattern receptor PEPR1 is BAK1-dependent.

After cellular damage caused by wounding or pathogens, Arabidopsis thaliana endogenous elicitor peptides (Peps) are released into the apoplast, enhancing innate immunity by directly binding to the membrane-localized leucine-rich repeat receptor kinase PEP RECEPTOR1 (PEPR1). Ligand binding induces PEPR1 heterodimerization with the co-receptor BRASSINOSTEROID INSENSITIVE1-ASSOCIATED KINASE1 (BAK1), followed by PEPR1 internalization, both essential for a subset of Pep1-induced responses. However, the role of BAK1 in Pep1-triggered PEPR1 endocytosis remains unclear. Here, we show that the ligand-induced PEPR1 endocytosis depends on its kinase activity and requires BAK1 C-terminal tail phosphorylation, which is equally indispensable for immune signaling and BAK1 internalization. Using a GFP insertional mutagenesis approach, we generated a partially functional GFP-tagged BAK1 to demonstrate that, following Pep1 elicitation, BAK1 and PEPR1 are endocytosed together with similar dynamics. Our findings identify the BAK1 function as a prerequisite for PEPR1 internalization.

plant biology↗

bioRxiv2025

Analysis of Head and Neck Cancer scRNA-seq Data Identified PRDM6 Promotes Tumor Progression by Modulating Immune Gene Expression

Head and neck squamous cell carcinoma (HNSCC) is a biologically aggressive and heterogeneous group of cancers with limited treatment options for patients who do not respond to standard therapies. While HPV-related HNSCCs tend to show better therapeutic outcomes, we still had limited understanding of the immune mechanisms underlying these cancers. Immune-responsive genes (IRGs) have emerged as critical factors in regulating both tumor progression and immune response. Recent advances in single-cell RNA sequencing (scRNA-seq) and the development of cell-type specific regulon inference tools, such as IRIS3, have provided new insights into the tumor immune microenvironment. In this study, we leveraged the IRIS3 platform to analyze scRNA-seq data from HNSCC patient samples, identifying novel transcription factor (TF)-IRG networks that contribute to tumor proliferation and immune escape. Specifically, we identified PRDM6, a histone methyltransferase, possesses the previously unknown role in promoting tumor cell proliferation by inducing IRG expression. We further demonstrated that HPV viral oncoproteins (E6/E7) oncoproteins up-regulate the PRDM6 expression, which associates PRDM6 with HPV-positive HNSCC.

cancer biology↗

bioRxiv2025

Insights into the structure and modulation of human TWIK-2

The Tandem of pore domain in a Weak Inward Rectifying K+ channel 2 (TWIK-2; KCNK6) is a member of the Two-Pore Domain K+ (K2P) channel family, which is associated with pulmonary hypertension, lung injury, and inflammation. The structure and regulatory mechanisms of TWIK-2 remain largely unknown. Here, we present the cryo-electron microscopy (cryo-EM) structure of human TWIK-2 at [~]3.7 [A] and highlight its conserved and unique features. Using automated whole-cell patch clamp recordings, we demonstrate that gating in TWIK-2 is voltage-dependent and insensitive to changes in the extracellular pH. We identify key residues that influence TWIK-2 activity by employing structure and sequence-guided site-directed mutagenesis and provide insights into the possible mechanism of TWIK-2 regulation. Additionally, we demonstrate the application of high-throughput automated whole-cell patch clamp platforms to screen small molecule modulators of TWIK-2. Our work serves as a foundation for designing high-throughput small molecule screening campaigns to identify specific high-affinity TWIK-2 modulators, including promising new anti-inflammatory therapeutics.

biophysics↗

bioRxiv2025

scBSP: A fast and accurate tool for identifying spatially variable features from high-resolution spatial omics data

Emerging spatial omics technologies empower comprehensive exploration of biological systems from multi-omics perspectives in their native tissue location in two and three- dimensional space. However, sparse sequencing capacity and growing spatial resolution in spatial omics present significant computational challenges in identifying biologically meaningful molecules that exhibit variable spatial distributions across different omics. We introduce scBSP, an open-source, versatile, and user-friendly package for identifying spatially variable features in high-resolution spatial omics data. scBSP leverages sparse matrix operation to significantly increase computational efficiency in both computational time and memory usage. In diverse spatial sequencing data and simulations, scBSP consistently and rapidly identifies spatially variable genes and spatially variable peaks across various sequencing techniques and spatial resolutions, handling two- and three-dimensional data with up to millions of cells. It can process high-definition spatial transcriptomics data for 19,950 genes across 181,367 spots within 10 seconds on a typical desktop computer, making it the fastest tool available for handling such high-resolution, sparse spatial omics data while maintaining high accuracy. In a case study of kidney disease using 10x Xenium data, scBSP identified spatially variable genes representative of critical pathological mechanisms associated with histology.

bioinformatics↗

bioRxiv2025

Leopard Cats Occupied Human Settlements in China for 3,500 years before the Arrival of Domestic cats in 600-900 CE around the Tang Dynasty

The earliest cats in human settlements in China were not domestic cats (Felis catus), but native leopard cats (Prionailurus bengalensis). To trace when and how domestic cats arrived in East Asia, we analyzed 22 feline bones from 14 sites across China spanning 5,000 years. Nuclear and mitochondrial genomes revealed that leopard cats began occupying anthropogenic scenes around 5,400 years ago and last appeared in 150 CE. Following several centuries gap of archeological feline remains, the first known domestic cat (706-883 CE) in China was identified in Shaanxi during the Tang Dynasty. Genomic analysis suggested a white or partially white coat and a link to a contemporaneous domestic cat from Kazakhstan, indicating a likely dispersal route via the Silk Road. The two felids once independently occupied ancient anthropogenic environments in China but followed divergent paths and reached different destinations in human-animal interactions.

evolutionary biology↗

bioRxiv2024

TrimNN: Characterizing cellular community motifs for studying multicellular topological organization in complex tissues

The spatial organization of cells plays a pivotal role in shaping tissue functions and phenotypes in various biological systems and diseased microenvironments. However, the topological principles governing interactions among cell types within spatial patterns remain poorly understood. Here, we present the Triangulation Cellular Community Motif Neural Network (TrimNN), a graph-based deep learning framework designed to identify conserved spatial cell organization patterns, termed Cellular Community (CC) motifs, from spatial transcriptomics and proteomics data. TrimNN employs a semi-divide-and-conquer approach to efficiently detect over-represented topological motifs of varying sizes in a triangulated space. By uncovering CC motifs, TrimNN reveals key associations between spatially distributed cell-type patterns and diverse phenotypes. These insights provide a foundation for understanding biological and disease mechanisms and offer potential biomarkers for diagnosis and therapeutic interventions.

bioinformatics↗

bioRxiv2024

SenSet, a novel human lung senescence cell gene signature, identifies cell-specific senescence mechanisms

Cellular senescence is a major hallmark of aging. Senescence is defined as an irreversible growth arrest observed when cells are exposed to a variety of stressors including DNA damage, oxidative stress, or nutrient deprivation. While senescence is a well-established driver of aging and age-related diseases, it is a highly heterogeneous process with significant variations across organisms, tissues, and cell types. The relatively low abundance of senescence in healthy aged tissues represents a major challenge to studying senescence in a given organ, including the human lung. To overcome this limitation, we developed a Positive-Unlabeled (PU) learning framework to generate a comprehensive senescence marker gene list in human lungs (termed SenSet) using the largest publicly available single-cell lung dataset, the Human Lung Cell Atlas (HLCA). We validated SenSet in a highly complex ex vivo human 3D lung tissue culture model subjected to the senescence inducers bleomycin, doxorubicin, or irradiation, and established its sensitivity and accuracy in characterizing senescence. Using SenSet, we identified and validated cell-type specific senescence signatures in distinct lung cell populations upon aging and environmental exposures. Our study presents the first comprehensive analysis of senescent cells in the healthy aging lung and uncovers cell-specific gene signatures of senescence, presenting fundamental implications for our understanding of major lung diseases, including cancer, fibrosis, chronic obstructive pulmonary disease, or asthma.

genomics↗

bioRxiv2024

CHD4 Interacts With TBX5 to Maintain the Gene Regulatory Network of Postnatal Atrial Cardiomyocytes

Atrial fibrillation (AF) is the most common sustained arrhythmia, affecting 59 million individuals worldwide. Impairment of atrial cardiomyocyte (aCM) gene regulatory mechanisms predisposes to atrial fibrillation. The transcription factor TBX5 is essential for normal atrial rhythm, and its inactivation causes loss of aCM enhancer accessibility, looping, and transcriptional identity. Here we investigated the mechanisms by which TBX5 regulates chromatin organization. We found that TBX5 recruits CHD4, a chromatin remodeling ATPase, to 33,170 genomic regions (TBX5-enhanced CHD4 sites). As a component of the NuRD complex, CHD4 functions to repress gene transcription. However, combined snRNA-seq and snATAC-seq of CHD4 knockout (KO) and control aCMs revealed that CHD4 has both gene activator and repressor functions. Genes repressed by CHD4 in aCMs included sarcomeric proteins from non-CM cell lineages. Genes activated by CHD4 in aCMs were characterized by TBX5-enhanced CHD4 recruitment, which enhanced chromatin accessibility and promoted the expression of aCM identity genes. This mechanism of TBX5 recruitment of CHD4 was critical for sinus rhythm because Chd4AKO mice had increased vulnerability to AF from electrical pacing and a fraction had spontaneous AF. Our findings reveal that CHD4 is essential for maintaining aCM gene expression, aCM identity, and atrial rhythm homeostasis.

genomics↗

bioRxiv2024

Cryo-EM Structure of AAA + ATPase Thorase Reveals Novel Helical Filament Formation

The AAA+ (ATPases associated with a variety of cellular activities) ATPase, Thorase, also known as ATAD1, plays multiple roles in synaptic plasticity, mitochondrial quality control and mTOR signaling through disassembling protein complexes like AMPAR and mTORC1 in an ATP-dependent manner. The Oligomerization of Thorase is crucial for its disassembly and remodeling functions. We show that wild-type Thorase forms long helical filaments in vitro, dependent on ATP binding but not hydrolysis. We report the Cryogenic Electron Microscopy (cryo-EM) structure of the Thorase filament at a resolution of 4 [A], revealing the dimeric arrangement of the basic repeating unit that is formed through a distinct interface compared to the hexameric MSP1/ATAD1E193Q assembly. Structure-guided mutagenesis confirms the role of critical amino acid residues required for filament formation, oligomerization and disassembly of mTORC1 protein complex. Together, our data reveals a novel filament structure of Thorase and provides critical information that elucidates the mechanism underlying Thorase filament formation and Thorase-mediated disassembly of the mTORC1 complex.

biochemistry↗

bioRxiv2024

Wnt activation in mature dermal adipocytes leads to lipodystrophy and skin fibrosis via ATGL-dependent lipolysis.

ObjectiveAccumulation of extracellular matrix (ECM) and dermal adipocyte lipodystrophy occurs during skin fibrosis, which compromises the skins flexibility and function. We recently showed that sustained Wnt activation in dermal progenitor cells leads to fibrotic ECM thickening in the dermis and lipodystrophy of dermal white adipose tissue (DWAT). The aim of this study was to test if Wnt/{beta}-catenin signaling in mature dermal adipocytes directly leads to lipodystrophy and impact skin fibrosis. MethodsWe developed a genetically lineage traceable, DWAT specific, inducible and reversible mouse model of Wnt activation (Adipo-{beta}-catistab) in the dorsal skin. We analyzed the DWAT lipid droplet size, cell identity, and affect on ECM accumulation and remodeling in skin fibrosis. Adipocyte triglyceride lipase (ATGL) is the key rate limiting enzyme of the lipolysis pathway, which is a biological process of breaking down triglyceride stores in adipocytes. The Atgl gene was conditionally deleted in mature dermal adipocytes to test the requirement of the lipolysis pathway in the Wnt-induced lipodystrophy (Adipo-{beta}-catistab; Atglfl/fl). ResultsHere, we utilize mouse genetic models with lineage tracing to show that Wnt activation in mature dermal adipocytes is sufficient to induce adipocyte lipodystrophy and fibrotic collagen remodeling. Upon withdrawal of adipocyte-restricted Wnt activation, lipodystrophy and fibrosis were reversed. Mechanistically, we find that Wnt activation stimulates Adipose Triglyceride Lipase (ATGL)-mediated lipolysis pathway. We found Atgl in dermal adipocytes is functionally required for Wnt-induced lipodystrophy in the DWAT and fibrotic remodeling. ConclusionCollectively, this study demonstrates that Wnt activation in dermal adipocytes promotes lipolysis and may be a novel therapeutic avenue for preventing and reversing lipodystrophy and skin fibrosis.

cell biology↗

bioRxiv2024

Diverse quorum sensing systems regulate microbial communication and biogeochemical processes in deep-sea cold seeps

Quorum sensing is a fundamental chemical communication mechanism that enables microorganisms to coordinate behavior and adapt to environmental conditions. In deep-sea cold seep ecosystems, where diverse microbial communities thrive, quorum sensing is likely a key mechanism driving microbial interactions. However, the distribution, mechanisms, and ecological roles of quorum sensing in cold seeps remain poorly understood. To address this, we analyzed 173 metagenomes, 33 metatranscriptomes, and 18 metabolomes from 17 global cold seep sites. We identified 299,355 quorum sensing genes from the seep non-redundant gene catalog, representing 34 gene types across six quorum sensing systems, with distribution patterns influenced by sediment depth and seep type. These quorum sensing genes were present in 3,576 metagenome-assembled genomes from 12 archaeal and 108 bacterial phyla, revealing a complex network of intraspecies and interspecies communication. Microbial groups involved in key metabolic processes, such as sulfate-reducing bacteria, anaerobic methanotrophic archaea, diazotrophs and organohalide reducers, were extensively regulated by quorum sensing, influencing biogeochemical cycles of carbon, nitrogen, and sulfur. Phylogenetic analysis and protein domain identification highlighted the functional roles of key quorum sensing-related proteins (e.g., PDEs, CahR, RpfC/G and LuxR) in modulating microbial behaviors, such as motility and chemotaxis. Heterologous expression and metabolomic profiling further confirmed the activity of representative LuxI-R pairs and identified inhibitors of quorum sensing in cold seep sediments. Overall, these findings highlight complexity and significance of quorum sensing in microbial interactions, ecological adaptation, and biogeochemical cycling within cold seep ecosystems, advancing our understanding of microbial communication in the deep biosphere.

microbiology↗