Biology subjects

Chung, H.

Publications and source records attributed to Chung, H..

At least 19 recordsLinked to original sources

bioRxiv2026

Atypical MDM2 p53 Regulation and Chemosensitivity Induced by Proximal PAS Deletion

This study proposes a novel therapeutic strategy to suppress cancer growth by modulating the MDM2-p53 axis via Alternative Polyadenylation (APA). MDM2 normally promotes tumorigenesis by ubiquitinating and degrading the tumor suppressor p53. In cancer cells, preferential use of proximal polyadenylation signals (PAS) results in shortened 3'UTRs, allowing oncogenic transcripts like MDM2 to evade nuclear sequestration mediated by Inverted Alu (IRAlu) double-stranded RNA structures. We hypothesized that forcing distal PAS usage would elongate the MDM2 mRNA, promoting its nuclear retention and reducing protein translation, thereby restoring p53 activity. Using CRISPR-Cas9, we targeted and deleted the most frequent proximal PAS in the MDM2 3'UTR of A549 cells. Successful genome editing was confirmed via PCR. As expected, Western blot analysis showed a significant reduction in MDM2 expression in PAS-edited cells. However, experimental outcomes contradicted our initial hypothesis: edited cells exhibited higher viability under doxorubicin treatment compared to wild-type cells. Furthermore, despite decreased MDM2 levels, a concurrent reduction in phosphorylated p53 (p-p53) was observed. These unexpected results suggest that MDM2 3'UTR elongation may trigger a non-canonical regulatory mechanism that bypasses the traditional MDM2-p53 interaction. This study highlights the complexity of post-transcriptional regulation and suggests that APA-mediated gene modulation can induce unforeseen compensatory survival pathways in cancer cells, necessitating further investigation into the broader functional landscape of elongated 3'UTRs.

cancer biology↗

bioRxiv2026

Bacterial surface display enables lysis-independent joint host-pathogen single-cell profiling

Heterogeneity in host-pathogen interactions arises from variation in both host cell state and pathogen state, yet most single-cell methods capture these features separately. Joint profiling is limited by fundamental technical mismatches between host- and pathogen-derived material, particularly differences in cell wall structure, lysis requirements, and molecular abundance. Here we introduce a lysis-independent strategy that enables unified measurement of intracellular bacterial presence and state alongside host single-cell profiles. We repurpose bacterial surface display to encode promoter activity and bacterial identity as antibody-detectable signals, rendering bacterial features compatible with existing antibody-based single-cell assays. This approach is modular across promoters, epitope tags, display scaffolds, and bacterial species, including Escherichia coli and Mycobacterium tuberculosis. Surface-displayed reporters are detectable during intracellular infection and can be read out by flow cytometry and droplet-based single-cell RNA sequencing without pathogen-specific lysis optimization or pre-sorting on pathogen signal. Applying this method to infected macrophages, we link heterogeneous bacterial uptake to heterogeneous expression of phagocytosis-associated host programs. This strategy enables scalable, joint host-pathogen single-cell measurements and expands the range of pathogens and states accessible to high-throughput single-cell analysis.

bioengineering↗

bioRxiv2026

Adaptive sampling-based enrichment enables genome reconstruction of intracellular symbionts despite host background and reference divergence

Recovering genomes of intracellular microbes from host-dominated samples remains a major challenge in microbial genomics, due to low target abundance, overwhelming host DNA, and the inability to culture these organisms independently. Despite extensive interest in Wolbachia, efficient genome recovery directly from host tissues remains limited by the inefficiency of host-dominated sequencing and the constraints of existing enrichment strategies. Here, we demonstrate that Oxford Nanopore adaptive sampling (AS) enables efficient, real-time enrichment of target DNA directly from complex host tissues, providing a culture-free approach for genome recovery in such systems. To our knowledge, this represents the first application of enrichment-mode adaptive sampling to achieve de novo reconstruction of an intracellular endosymbiont genome in a mosquito system. Using Aedes aegypti mosquitoes infected with a locally derived wAlbB-like strain, we applied enrichment-mode AS to selectively sequence Wolbachia DNA. This resulted in an increase from <1% Wolbachia reads in conventional shotgun data to [~]90% under adaptive sampling. De novo assembly of AS-enriched long reads yielded a near-complete genome ([~]1.5 Mb) in two contigs with >96-99% completeness. Comparative analyses revealed multiple large-scale chromosomal rearrangements relative to the reference wAlbB genome, demonstrating that adaptive sampling does not impose reference-dependent genome structure. Annotation further identified three prophage-associated regions, including two strain-specific expansions absent from the reference genome. Notably, cytoplasmic incompatibility genes (cifA and cifB) were identified adjacent to one of these regions, consistent with their known genomic association with prophage elements. Importantly, adaptive sampling remained effective despite substantial structural divergence between the reference and target genomes, revealing an unexpectedly robust application of this approach beyond its presumed operating conditions. Together, these results establish enrichment-mode adaptive sampling as a robust and scalable strategy for genome-resolved analysis of intracellular bacteria in host-associated systems.

genomics↗

bioRxiv2026

In planta-specific transcriptional regulatory circuit regulates expression of MoHTR1, a nuclear effector gene of Magnaporthe oryzae

During host-pathogen interactions, fungal pathogens secrete effector proteins into host cells to manipulate the host immune system and facilitate infection. Although many effector genes are highly expressed during infection stages, there is limited information on the mechanisms regulating their in planta expression. Here, we characterize the promoter of MoHTR1, a nuclear effector gene of the rice blast fungal pathogen, to elucidate its in planta-specific expression. Using promoter deletion and mutation analyses, we identified a core cis-element (TATTTCGT) within the MoHTR1 promoter, designated the in planta active (IPA) element, which is crucial for in planta-specific expression. The IPA element is responsible for the expression of not only MoHTR1, but also other effector genes including a known effector Slp1. Furthermore, the IPA element enables the in planta expression of MobZIP14, a gene specifically expressed during vegetative growth. The IPA element plays a critical role in fungal virulence by enabling MoHTR1 expression and regulating host immune responses. Bioinformatic and DNA-protein interaction analyses revealed that RGS1, a transcription factor containing a winged-helix binding domain, acts as a transcriptional regulator of MoHTR1 by directly binding to the IPA element. Our findings provide new insights into the regulatory mechanisms driving the in planta-specific expression of fungal effector genes.

microbiology↗

bioRxiv2026

Demonstration of periodic and aperiodic EEG reliability between laboratory and clinic settings

Structured AbstractO_ST_ABSObjectiveC_ST_ABSTo facilitate the scalability of EEG research, this paper compares the data quality and evaluates the absolute agreement of EEG features between laboratory and clinic settings. MethodsResting state EEG recordings were obtained from 36 participants (11 infants, 10 children, and 15 adults) from the waiting room of a primary care clinic and a laboratory. Intraclass correlation coefficients (ICC(2,1)) quantified the absolute agreement between laboratory and clinic settings for periodic power bands, alpha peak characteristics, and aperiodic components. The mean absolute difference (MAD) between laboratory and clinic recorded EEGs were calculated to describe signal consistency across settings. ResultsMore components were rejected from clinic-recorded EEGs, though data quality otherwise did not differ between settings. The ICC (2,1) for all EEG measures were generally in the good-to-excellent range across ages and regions of interest. The MAD decreased with age and was largest in the alpha frequency range. ConclusionsHigh quality EEG data can be collected from outpatient clinic settings among infants, children, and adults. There is high reliability in the parameterized periodic and aperiodic EEG features between laboratory and clinic settings. SignificanceFuture research may collect EEG datasets from naturalistic settings with confidence in their reliability relative to laboratory recordings.

physiology↗

bioRxiv2026

YAP activation reverses aging-related visual dysfunction caused by impaired cell-matrix adhesion

Cellular senescence of retinal pigment epithelium (RPE) cells drives age-related visual decline, particularly in the pathology of age-related macular degeneration (AMD). While genome-wide association studies (GWAS) have identified genetic risk factors underlying AMD, the molecular mechanisms governing RPE senescence remain unclear. Here, single-cell RNA sequencing of young and old mouse RPE revealed dysregulated cell-matrix adhesion as a key feature of senescence, consistent with transcriptional changes in AMD patients. Hydrogel-based experiments confirmed that impaired integrin-mediated adhesion induces RPE senescence. Yes-associated protein 1 (YAP), a crucial mechanotransducer, mediated the protective effects of cell-matrix adhesion, and its activation alone reversed aging phenotypes in senescent RPE cells. Notably, treatment with TRULI, a small-molecule YAP activator, significantly improved visual function in AMD and naturally aged mice. These findings highlight the integrin-YAP mechanotransduction pathway as a fundamental regulator of RPE senescence and a potential therapeutic target for AMD.

physiology↗

bioRxiv2025

Cryo-mtscATAC-seq for single-cell mitochondrial DNA genotyping and clonal tracing in archived human tissues

High-throughput clonal tracing of primary human samples relies on naturally occurring barcodes, such as somatic mitochondrial DNA (mtDNA) mutations detected via single-cell ATAC-seq (mtscATAC-seq). Fresh-frozen clinical specimens preserve tissue architecture but compromise cell integrity, thereby precluding their use in multi- omic approaches such as mitochondrial genotyping at single-cell resolution. Here, we introduce Cryo-mtscATAC-seq, a broadly applicable method for diverse pathophysiological contexts to isolate nuclei with their associated mitochondria ("CryoCells") from frozen samples for high-throughput clonal analysis. We applied Cryo-mtscATAC-seq to the neurodegenerated human brain, glioblastoma (GBM), pediatric neuroblastoma, and human aorta, and implemented mitobender, a computational tool to reduce ambient mtDNA in single-cell assays. Our approach revealed regional clonal gliogenesis and microglial expansions in amyotrophic lateral sclerosis (ALS), persistence of oligodendrocyte progenitor cell (OPC)-like clones in GBM recurrence, mtDNA depth heterogeneity after neuroblastoma chemotherapy, and oligoclonal proliferation of smooth muscle cells in human aorta. In conclusion, Cryo-mtscATAC-seq broadly extends mtDNA genotyping to archival frozen specimens across tissue types, opening new avenues for investigation of cell state- informed clonality in human health and disease.

systems biology↗

bioRxiv2025

Mechanistic insight into the regulation of virulence factor type 1 pili in pathogenic E. coli by rhomboid protease GlpG

With the rise in antimicrobial resistance, understanding the virulence factors utilized by pathogenic E. coli is essential for the development of alternative therapeutics. While previous work has shown that disruption of the E. coli rhomboid protease gene glpG leads to defects in bacterial colonization, here we provide mechanistic insight into the loss of fitness. We show GlpG is essential for the assembly of type 1 pili, a virulence factor required for the colonization of eukaryotic cells. Since pili are critical for biofilm formation and bacterial persistence, the absence of GlpG proteolytic activity reduces the production of biofilm. Working towards new potential antimicrobial targets for treating infections, we show that biofilm formation is hampered by GlpG inhibition. Our data demonstrates that GlpG plays a key role in protein quality control of type 1 pili and alters the paradigm for GlpG proteolysis, previously implicated in the cleavage of only membrane embedded substrates.

biochemistry↗

bioRxiv2025

Uncovering Developmental Lineages from Single-cell Data with Contrastive Poincare Maps

Embeddings play a central role in single-cell RNA sequencing (scRNA-seq) data analysis by transforming complex gene expression profiles into interpretable, low-dimensional representations. While Euclidean embeddings distort hierarchical relationships in low dimensions, hyperbolic geometry can represent hierarchies accuractely in low dimensions. However, existing hyperbolic methods, such as Poincare Maps (PM), lose accuracy in deeper hierachies and require extensive feature engineering and memory. We present Contrastive Poincare Maps (CPM), a scalable approach that reliably preserves inherent hierarchical structures. On synthetic trees with up to five generations and 34,000 individuals, CPM reduces distortion by 99% (1.9 vs. 126.3) and requires 13-fold less memory than PM. We demonstrate CPMs utility across three case studies: scalable analysis of 116,312 mouse gastrulation cells, accurate reconstruction of hierarchical structure in mouse hematopoiesis, and faithful representation of multi-lineage hierarchies in chicken cardiogenesis. By integrating hyperbolic geometry with contrastive learning, CPM enables scalable, structure-preserving embeddings for developmental scRNA-seq data. Code: https://github.com/NithyaBhasker/ContrastivePoincareMaps

bioinformatics↗

bioRxiv2025

Scaling Large Language Models for Next-Generation Single-Cell Analysis

AO_SCPLOWBSTRACTC_SCPLOWSingle-cell RNA sequencing has transformed our understanding of cellular diversity, yet current single-cell foundation models (scFMs) remain limited in their scalability, flexibility across diverse tasks, and ability to natively integrate textual information. In this work, we build upon the Cell2Sentence (C2S) framework, which represents scRNA-seq profiles as textual "cell sentences," to train Large Language Models (LLMs) on a corpus comprising over one billion tokens of transcriptomic data, biological text, and metadata. Scaling the model to 27 billion parameters yields consistent improvements in predictive and generative capabilities and supports advanced downstream tasks that require synthesis of information across multi-cellular contexts. Targeted fine-tuning with modern reinforcement learning techniques produces strong performance in perturbation response prediction, natural language interpretation, and complex biological reasoning. This predictive strength enabled a dual-context virtual screen that nominated the kinase inhibitor silmitasertib (CX-4945) as a candidate for context-selective upregulation of antigen presentation. Experimental assessment in human cell models unseen during training supported this prediction, demonstrating that C2S-Scale can effectively guide the discovery of context-conditioned biology. C2S-Scale unifies transcriptomic and textual data at unprecedented scales, surpassing both specialized single-cell models and general-purpose LLMs to provide a platform for next-generation single-cell analysis and the development of "virtual cells."

bioinformatics↗

bioRxiv2025

Multiple evolutionary events in host plant adaptation in Lepidoptera

The evolution of insect host adaptation is a key component of insect-plant coevolution, a complex process often shaped by multiple evolutionary events. In this study, we identified two UDP-glycosyltransferase (UGT) genes, SfruUGT33T10 and SfruUGT33F32, in the fall armyworm Spodoptera frugiperda, which play critical roles in the tolerance of benzoxazinoids (BXs), secondary metabolites in maize. These two detoxification enzymes exhibited distinct glycosylation patterns for BXs and varying detoxification efficiencies, reflecting independent evolutionary trajectories. Phylogenetic analyses revealed that SfruUGT33T10 originated independently within Noctuidae, while SfruUGT33F32 resulted from tandem duplication within the UGT33F gene family and may have undergone neofunctionalization within the Spodoptera genus. Our findings provide evidence that the evolution of these two UGT paralogs contributed to the variation in the tolerance to maize BXs among different Lepidopteran species. This research underscores the significance of multiple independent evolutionary routes in host plant adaptation and offer new insights into the complex evolutionary processes underlying insect-plant interactions.

evolutionary biology↗

bioRxiv2025

Ku suppresses RNA-mediated innate immune responses in human cells to accommodate primate-specific Alu expansion.

Ku70 and Ku80 form Ku, a ring-shaped protein that initiates the non-homologous end-joining (NHEJ) DNA repair pathway.1 Specifically, Ku binds to double-stranded DNA (dsDNA) ends and recruits other NHEJ factors (e.g., DNA-PKcs and LIG4). While Ku binds to double-stranded RNA (dsRNA)2 and traps mutated-DNA-PKcs on ribosomal RNA in vivo,3,4 the physiological significance of Ku-dsRNA interactions in otherwise wild-type cells remains elusive. Intriguingly, while dispensable for murine development,5,6 Ku is essential in human cells.7 Despite similar genome sizes, human cells express [~]100-fold more Ku than mouse cells, implying functions beyond NHEJ, possibly through a dose-sensitive interaction with dsRNA, which is [~]100 times weaker than with dsDNA.2,8 While investigating the essentiality of Ku in human cells, we found that depletion of Ku - unlike LIG4 - induces profound interferon (IFN) and NF-kB responses reliant on the dsRNA-sensor MDA5/RIG-I and adaptor MAVS. Prolonged Ku-degradation also activates other dsRNA-sensors, e.g. PKR that suppresses protein translation, and OAS/RNaseL that cleaves rRNAs and eventually induces growth arrest and cell death. MAVS, RIG-I, or MDA5 knockouts suppressed IFN signaling and, together with PKR knockouts, partially rescued Ku-depleted human cells. Ku-irCLIP analyses revealed that Ku binds to diverse dsRNA, predominantly stem-loops in primate-specific Alu elements9 at anti-sense orientation in introns and 3-UTRs. Ku expression rose sharply in higher primates tightly correlating with Alu-expansion (r = 0.94/0.95). Together, our study identified a vital role of Ku in accommodating Alu-expansion in primates by mitigating a dsRNA-induced innate immune response, explaining the rise of Ku levels and its essentiality in human cells.

genetics↗

bioRxiv2024

Aging disrupts spatiotemporal coordination in the cycling ovary

Throughout the female reproductive lifespan, the ovary completes hundreds of cycles of follicle development, ovulation, and tissue regeneration1-3. These processes rely on the precisely coordinated intricate multicellular interactions across time and space4. How aging disrupts these interactions, leading to an overall decline in reproductive and endocrine functions, remains understudied. To understand the multicellular dynamics that underlie ovarian function and their changes with age, here we use Slide-seq, a near-cellular spatial transcriptomics method, to profile 22 mouse ovaries across the reproductive cycle and chronological age, representing 610,620 near-cellular spots across 69 spatial transcriptomic profiles5,6. We develop a segmentation analysis to identify spatial niches that capture different states of folliculogenesis from static snapshots in situ, allowing us to examine the multicellular dynamics of 358 oocytes, 668 follicles, and 236 corpora lutea. We find that aging disrupts both the spatial organization and temporal coordination of folliculogenesis before the cessation of cycling, which may contribute to the dysregulation of hormone production and signaling. These disruptions are marked by altered immune cell dynamics, inflammatory signaling, and global tissue disorganization that impair the cyclic remodeling required for ovarian function. Our findings reveal how multicellular niches orchestrate ovarian function and demonstrate how age-related breakdown of tissue organization across time and space precedes reproductive decline.

genomics↗

bioRxiv2024

Genetic analysis of the X-linked Adrenoleukodystrophy ABCD1 gene in Drosophila uncovers a role in Peroxisomal dynamics

X-linked adrenoleukodystrophy (X-ALD) is a progressive neurodegenerative disorder caused by a loss-of-function (LOF) mutation in the ATP-binding cassette subfamily D member 1 (ABCD1) gene, leading to the accumulation of very long-chain fatty acids (VLCFAs). This disorder exhibits striking heterogeneity; some male patients develop an early childhood neuroinflammatory demyelination disorder, while other patients, including adult males and most affected female carriers, experience a chronic progressive myelopathy. Adrenocortical failure is observed in almost all male patients, with age of onset varying sometimes being the first diagnostic finding. The gene underlying this spectrum of disease encodes an ATP-binding cassette (ABC) transporter that localizes to peroxisomes and facilitates VLCFA transport. X-ALD is considered a single peroxisomal component defect and does not play a direct role in peroxisome assembly. Drosophila models of other peroxisomal genes have provided mechanistic insight into some of the neurodegenerative mechanisms with reduced lifespan, retinal degeneration, and VLCFA accumulation. Here, we perform a genetic analysis of the fly ABCD1 ortholog Abcd1 (CG2316). Knockdown or deficiency of Abcd1 leads to VLCFA accumulation, salivary gland defects, locomotor impairment and retinal lipid abnormalities. Interestingly, there is also evidence of reduced peroxisomal numbers. Flies overexpressing the human cDNA for ABCD1 display a wing crumpling phenotype characteristic of the pex2 loss-of-function. Surprisingly, overexpression of human ABCD1 appears to inhibit or overwhelm peroxisomal biogenesis to levels similar to null mutations in fly pex2, pex16 and pex3. Drosophila Abcd1 is therefore implicated in peroxisomal number, and overexpression of the human ABCD1 gene acts a potent inhibitor of peroxisomal biogenesis in flies.

genetics↗

bioRxiv2024

Integrin-deficient T cell leukemia accumulates in the central nervous system

T-cell acute lymphoblastic leukemia (T-ALL) spreads aggressively to the central nervous system (CNS), particularly the leptomeninges. Children with T-ALL are treated with high-dose, CNS-directed chemotherapy, which can cause lasting neurotoxicity and is not always effective. Little is known about how T-ALL enters and persists within the CNS. However, normal T cell migration into the CNS has been extensively studied. Two integrins--VLA-4 and LFA-1--mediate normal T cell entry to the CNS, and VLA-4 blockade effectively treats multiple sclerosis by excluding T cells from the brain. We hypothesized that these integrins would likewise be required for T-ALL CNS entry. Unexpectedly, not only were VLA-4 and LFA-1 dispensable for T-ALL to reach the CNS, integrin-deficient T-ALL accumulated in the CNS compared to control. Mechanistically, integrin loss accelerated T-ALL proliferation in the CNS, suggesting that integrin-mediated interactions may promote quiescence in this space. Integrin blockade synergized with chemotherapy targeting proliferating cells, raising the possibility that combination therapy might be a powerful strategy.

immunology↗

bioRxiv2024

Optimal CXCR5 Expression during Tfh Maturation Involves the Bhlhe40-Pou2af1 Axis

The pair of transcription factors Bcl6-Blimp1 is well-known for follicular T helper (Tfh) cell fate determination, however, the mechanism(s) for Bcl6-independent regulation of CXCR5 during Tfh migration into germinal center (GC) is still unclear. In this study, we uncovered another pair of transcription factors, Bhlhe40-Pou2af1, that regulates CXCR5 expression. Pou2af1 was specifically expressed in Tfh cells whereas Bhlhe40 expression was found high in non-Tfh cells. Pou2af1 promoted Tfh formation and migration into GC by upregulating CXCR5 but not Bcl6, while Bhlhe40 repressed this process by inhibiting Pou2af1 expression. RNA-Seq analysis of antigen-specific Tfh cells generated in vivo confirmed the role of Bhlhe40-Pou2af1 axis in regulating optimal CXCR5 expression. Thus, the regulation of CXCR5 expression and migration of Tfh cells into GC involves a transcriptional regulatory circuit consisting of Bhlhe40 and Pou2af1, which operates independent of the Bcl6-Blimp1 circuit that determines the Tfh cell fate.

immunology↗

bioRxiv2024

Sequencing analysis of Helicobacter pylori infection in gastric mucosa and its progression to gastric mucosa-associated tissue (MALT) lymphoma

IntroductionThe pathogenesis of gastric mucosa-associated tissue (MALT) lymphoma is associated with Helicobacter pylori infection. Although treatment strategies and responsiveness according to the stage of gastric MALT lymphoma have been widely reported, a detailed study of the biological carcinogenic process is still required. MethodPaired, fresh tumor-adjacent normal and gastric mucosal tissue samples from 13 patients with gastric MALT lymphoma were prospectively collected. Whole exome sequencing (WES) and whole-transcriptome sequencing (WTS) data were generated. The analysis of mutations, gene fusion, gene expression, and the microbiome was stratified by H. pylori infection and disease status. ResultsSomatic mutations in TRAF3 and TNFAIP3 were identified in H. pylori-negative gastric MALT lymphoma. Fusions involving BIRC3-MALT1 (2 samples) and TBL1XR1-TP63 (1 sample with H. pylori infection) were detected. Stepwise comparative analysis of RNA expression revealed upregulation of immune response, inflammatory responses, and the NF- {kappa}B signaling pathway in H. pylori-positive MALT lymphoma cases. Pathways associated with pathogens were upregulated in H. pylori-negative MALT lymphoma cases, suggesting that infections other than H. pylori may affect lymphomagenesis. Microbiome analysis revealed that genus_Rothia was negatively correlated with alpha diversity. ConclusionA stepwise approach using diverse stages of WTS data revealed detailed pathogenic mechanisms of gastric MALT lymphoma. Chronic inflammation following infection contributes to gastric MALT lymphomagenesis in both H. pylori positive and negative cases.

bioinformatics↗

bioRxiv2024

Assembling bacterial puzzles: piecing together functions into microbial pathways

Functional metagenomics enables the study of unexplored bacterial diversity, gene families, and pathways essential to microbial communities. However, discovering biological insights with these data is impeded by the scarcity of quality annotations. Here, we use a co-occurrence-based analysis of predicted microbial protein functions to uncover pathways in genomic and metagenomic biological systems. Our approach, based on phylogenetic profiles, improves the identification of functional relationships, or participation in the same biochemical pathway, between enzymes over a comparable homology-based approach. We optimized the design of our profiles to identify potential pathways using minimal data, clustered functionally related enzyme pairs into multi-enzymatic pathways, and evaluated our predictions against reference pathways in KEGG. We then demonstrated a novel extension of this approach to predict inter-bacterial protein interactions amongst members of a marine microbiome. Most significantly, we show our method predicts emergent biochemical pathways between known and unknown functions. Thus, our work establishes a basis for identifying the potential functional capacities of the entire metagenome, capturing previously unknown and abstract functions into discrete putative pathways.

bioinformatics↗