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Lim, J.

Publications and source records attributed to Lim, J..

At least 73 records · Page 4Linked to original sources

Transient DREADD manipulation of the dorsal Dentate Gyrus in rats impairs disambiguation of similar place-outcome associations

The dentate gyrus subfield of the hippocampus is thought to be critically involved in the disambiguation of similar episodic experiences and places in a context-dependent manner. However, most empirical evidence has come from lesion and gene knock-out studies in rodents, in which the dentate gyrus function is permanently perturbed and compensation of affected functions via other areas within the memory circuit could take place. The acute and causal role of the dentate gyrus herein remains therefore elusive. The present study aimed to investigate the acute role of the dorsal dentate gyrus in disambiguation learning using reversible inhibitory DREADDs. Rats were trained on a location discrimination task and learnt to discriminate between a rewarded and unrewarded location with either small (similar condition) or large (dissimilar condition) separation. Reward contingencies switched after a reversal rule, allowing us to track the temporal engagement of the dentate gyrus during the task. Bilateral but not unilateral DREADD modulation of the dentate gyrus impaired the initial acquisition learning of place-reward associations, but performance rapidly recovered to control levels within the same session. Modelling of the behavioural patterns revealed that reward learning and reward sensitivity were not associated with the DREADD-dependent impairment during acquisition learning, suggesting that either the ability to encode place-reward associations, or the fine-grained coding of place were instead affected. Our study thus provides novel evidence that the dorsal dentate gyrus is acutely and bilaterally engaged during the initial acquisition learning of ambiguous place-reward associations, although the exact neural mechanisms supporting this function still need to be fully understood.

neuroscience↗

Thermostable in vitro transcription-translation for enzyme screening in microdroplets

BackgroundIn vitro expression involves the utilization of the transcription and translation machinery derived from the cell to produce one or more proteins of interest and has found widespread application in the optimization of gene circuits or metabolic pathways in synthetic biology but also in pharmaceutical manufacturing. Most in vitro expression systems available are active at moderate temperatures but to screen large libraries of natural or artificial genetic diversity for highly thermostable enzymes or enzyme variants, it is instrumental to enable protein synthesis at high temperatures. Moreover, given the fact that the main barrier toward the general use of in vitro expression is its high price compared with host-based recombinant expression, there is a need to develop alternative in vitro expression systems operating at high temperatures and compatible with technologies that enable ultrahigh-throughput screening in reduced volumes, such as microfluidic water-in-oil (w/o) droplets. ResultsTo this end, we produced high-expression cell-free extracts from Thermus thermophilus for in vitro translation and supplemented them with thermostable enzymatic cascades for energy regeneration and a moderately thermostable RNA polymerase for transcription, which ultimately limited the temperature of protein synthesis. The yield was comparable to other thermostable in vitro expression systems, while the preparation procedure is simpler and can be suited to different Thermus thermophilus strains. Furthermore, these extracts have enabled in vitro expression in microfluidic droplets at high temperatures for the first time. Although the composition of these extracts showed a high background in carboxyl esterase assays, {beta}-glucosidase and cellobiose hydrolase activities could be measured with minimal background. ConclusionsCell-free extracts from Thermus thermophilus represent a simpler alternative to heavily optimized or pure component thermostable in vitro expression systems. Moreover, due to their compatibility with droplet microfluidics and enzyme assays at high temperatures, the reported system represents a convenient gateway for enzyme screening at higher temperatures with ultrahigh-throughput.

microbiology↗

Assessing the effects of an 8-week mindfulness training program on neural oscillations and self-reports during meditation practice

Previous literature suggests that mindfulness meditation can have positive effects on mental health, however, its mechanisms of action are still unclear. In this pre-registered study, we investigate the effects of mindfulness training on lapses of attention (and their associated neural correlates) during meditation practice. For this purpose, we recorded Electroencephalogram (EEG) during meditation practice before and after 8 weeks of mindfulness training (or waitlist) in 41 participants (21 treatment and 20 controls). In order to detect lapses of attention and characterize their EEG correlates, we interrupted participants during meditation to report their level of focus and drowsiness. First, we show that self-reported lapses of attention during meditation practice were associated to an increased occurrence of theta oscillations (3-6 Hz), which were slower in frequency and more spatially widespread than theta oscillations occurring during focused attention states. Then, we show that mindfulness training did not reduce the occurrence of lapses of attention nor their associated EEG correlate (i.e. theta oscillations) during meditation. Instead, we find that mindfulness training was associated with a significant slowing of alpha oscillations in frontal electrodes during meditation. Crucially, frontal alpha slowing during meditation practice has been reported in highly experienced meditators and is thought to reflect relative decreases in arousal levels. Together, our findings provide insights into the EEG correlates of mindfulness meditation, which could have important implications for the identification of its mechanisms of action and/or the development of neuromodulation protocols aimed at facilitating meditation practice.

neuroscience↗

The role of ultradian rhythms in post-deprivationrebounds and diurnal rhythms of sleep and wakefulness in rats

The temporal organization of ultradian rhythms in sleep and wakefulness during post-sleep deprivation (TSD) rebound were investigated in 15 rats under contant bright light (LL). Following baseline recordings, rats were subjected to TSD using gentle manual stimulation. Post-TSD rebounds in cumulative wakefulness (WAKE), rapid eye movement sleep (REM) and non-REM sleep (NREM) were analyzed in WAKE-dominant ({upsilon}w) and sleep-dominant ({upsilon}s) ultradian phases. Rebounds in WAKE and NREM were present only when data were analyzed on a full ultradian cycle basis, and were absent in {upsilon}s and {upsilon}w phases alone. These rebounds were approximately 50% complete and not proportional to TSD excess/deficit. Rebounds in REM were present in full ultradian cycles and partially expressed in {upsilon}s but absent in {upsilon}w. REM rebounds fully compensated for REM deficit. Rebounds were mediated mainly by a reduction in the duration of the {upsilon}w ultradian phase, and by decreased probability of arousal in the {upsilon}s ultradian phase. These mechanisms were also found to partially mediate diurnal rhythms in 10 rats under a 12:12 h LD cycle. This study implicates an ultradian timing mechanism in the control of post-TSD rebounds and suggests that rebounds in all three states are mainly mediated by post-TSD adjustments in WAKE-promoting mechanisms. Ultradian rhythms should be taken into account to avoid errors in data analysis. HighlightsO_LISleep-wake state exhibits circadian rhythms and ultradian rhythms. C_LIO_LIThese rhythms interact with rebounds after sleep deprivation. C_LIO_LICircadian amplitude and sleep rebound are partially mediated by ultradian timing. C_LIO_LIArousal-related processes control these sleep-wake patterns in both states. C_LIO_LIMeasuring ultradian rhythms is necessary for accurate analysis of data. C_LI

animal behavior and cognition↗

Application of Elevated Atmospheric Pressure and Hypoxia Enhance Pluripotency and Stem Cell Differentiation

Physical forces regulate stem cell differentiation in-vivo, however few simple and precise methods exist to better understand this biology in-vitro. Here we describe the use of a novel bioreactor that enables addition of physical force in the form of elevated atmospheric pressure during reprogramming of human fibroblasts and culture of human induced pluripotent stem cell (iPSC) and neural stem cell (NSC) lines. We demonstrate that elevated atmospheric pressure and hypoxia can positively regulate reprogramming of human fibroblasts to iPSCs across multiple donors. Prolonged culture of iPSCs in elevated atmospheric pressure (+ 2 PSI) and 15% oxygen exhibited progressive differentiation with concomitant metabolic and epigenetic gene expression changes. Furthermore, elevated atmospheric pressure positively regulates differentiation of iPSCs to neural-ectodermal and hematopoietic lineages when combined with appropriate soluble factors and oxygen concentration. In summary, these results demonstrate the significance of applied atmospheric pressure for stem cell applications and warrants further investigation.

developmental biology↗

Macrophages control pathological interferon responses during viral respiratory infection

Antiviral immune mediators, including interferons and their downstream effectors, are critical for host defense yet can become detrimental when uncontrolled. Here, we identify a macrophage-mediated anti-inflammatory mechanism that limits type I interferon (IFN-I) responses. Specifically, we found that cellular stress and pathogen recognition induce Oncostatin M (OSM) production by macrophages. OSM-deficient mice succumbed to challenge with influenza or a viral mimic due to heightened IFN-I activation. Macrophage-derived OSM restricted excessive IFN-I production by lung epithelial cells following viral stimulation. Furthermore, reconstitution of OSM in the respiratory tract was sufficient to protect mice lacking macrophage-derived OSM against morbidity, indicating the importance of local OSM production. This work reveals a host strategy to dampen inflammation in the lung through the negative regulation of IFN-I by macrophages. One-Sentence SummaryType I interferons induced by viral stimuli are negatively regulated by macrophage-derived Oncostatin M.

immunology↗

Clustering of HR+/HER2- breast cancer in an Asian cohort is driven by immune phenotypes

Breast cancer exhibits significant heterogeneity, manifesting in various subtypes that are critical in guiding treatment decisions. This study aimed to investigate the existence of distinct subtypes of breast cancer within the Asian population, by analysing the transcriptomic profiles of 934 breast cancer patients from a Malaysian cohort. Our findings reveal that the HR+/HER2-breast cancer samples display a distinct clustering pattern based on immune phenotypes, rather than conforming to the conventional luminal A-luminal B paradigm previously reported in breast cancers from women of European descent. This suggests that the activation of the immune system may play a more important role in Asian HR+/HER2-breast cancer than has been previously recognized. Analysis of somatic mutations by whole exome sequencing showed that counter-intuitively, the cluster of HR+/HER2-samples exhibiting higher immune scores was associated with lower tumour mutational burden, lower homologous recombination deficiency scores, and fewer copy number aberrations, implicating the involvement of non-canonical tumour immune pathways. Further investigations are warranted to determine the underlying mechanisms of these pathways, with the potential to develop innovative immunotherapeutic approaches tailored to this specific patient population.

cancer biology↗

Comparing virtual staining artificial intelligence model performance on same-tissue versus serial-tissue sections based on CD3+ T-cell ground truth

Immunophenotyping via multi-marker assays significantly contributes to patient selection, therapeutic monitoring, biomarker discovery, and personalized treatments. Despite its potential, the multiplex immunofluorescence (mIF) technique faces adoption challenges due to technical and financial constraints. Alternatively, hematoxylin and eosin (H&E)-based prediction models of cell phenotypes can provide crucial insights into tumor-immune cell interactions and advance immunotherapy. Current methods mostly rely on manually annotated cell label ground truths, with limitations including high variability and substantial labor costs. To mitigate these issues, researchers are increasingly turning to digitized cell-level data for accurate in-situ cell type prediction. Typically, immunohistochemical (IHC) staining is applied to a tissue section serial to one stained with H&E. However, this method may introduce distortions and tissue section shifts, challenging the assumption of consistent cellular locations. Conversely, mIF overcomes these limitations by allowing for mIF and H&E staining on the same tissue section. Importantly, the multiplexing capability of mIF allows for a thorough analysis of the tumor microenvironment by quantifying multiple cell markers within the same tissue section. In this study, we introduce a Pix2Pix generative adversarial network (P2P-GAN)-based virtual staining model, using CD3+ T-cells in lung cancer as a proof-of-concept. Using an independent CD3 IHC-stained lung cohort, we demonstrate that the model trained with cell label ground-truth from the same tissue section as H&E staining performed significantly better in both CD3+ and CD3- T-cell prediction. Moreover, the model also displayed prognostic significance on a public lung cohort, demonstrating its potential clinical utility. Notably, our proposed P2P-GAN virtual staining model facilitates image-to-image translation, enabling further spatial analysis of the predicted immune cells, deepening our understanding of tumor-immune interactions, and propelling advancements in personalized immunotherapy. This concept holds potential for the prediction of other cell phenotypes, including CD4+, CD8+, and CD20+ cells.

immunology↗

Continuous Tracking using Deep Learning-based Decoding for Non-invasive Brain-Computer Interface

Brain-computer interfaces (BCI) using electroencephalography (EEG) provide a non-invasive method for users to interact with external devices without the need for muscle activation. While noninvasive BCIs have the potential to improve the quality of lives of healthy and motor impaired individuals, they currently have limited applications due to inconsistent performance and low degrees of freedom. In this study, we use deep learning (DL)-based decoders for online Continuous Pursuit (CP), a complex BCI task requiring the user to track an object in two-dimensional space. We developed a labeling system to use CP data for supervised learning, trained DL-based decoders based on two architectures, including a newly proposed adaptation of the PointNet architecture, and evaluated the performance over several online sessions. We rigorously evaluated the DL-based decoders in a total of 28 human participants, and found that the DL-based models improved throughout the sessions as more training data became available and significantly outperformed a traditional BCI decoder by the last session. We also performed additional experiments to test an implementation of transfer learning by pre-training models on data from other subjects, and mid-session training to reduce inter-session variability. The results from these experiments showed that pre-training did not significantly improve performance, but updating the models mid-session may have some benefit. Overall, these findings support the use of DL-based decoders for improving BCI performance in complex tasks like CP, which can expand the potential applications of BCI devices and help improve the quality of lives of healthy and motor-impaired individuals. Significance StatementBrain-computer Interfaces (BCI) have the potential to replace or restore motor functions for patients and can benefit the general population by providing a direct link of the brain with robotics or other devices. In this work, we developed a paradigm using deep learning (DL)-based decoders for continuous control of a BCI system and demonstrated its capabilities through extensive online experiments. We also investigate how DL performance is affected by varying amounts of training data and collected more than 150 hours of BCI data that can be used to train new models. The results of this study provide valuable information for developing future DL-based BCI decoders which can improve performance and help bring BCIs closer to practical applications and wide-spread use.

bioengineering↗

Nuclear speckles regulate HIF-2α programs and correlate with patient survival in kidney cancer

Nuclear speckles are membrane-less bodies within the cell nucleus enriched in RNA biogenesis, processing, and export factors. In this study we investigated speckle phenotype variation in human cancer, finding a reproducible speckle signature, based on RNA expression of speckle-resident proteins, across >20 cancer types. Of these, clear cell renal cell carcinoma (ccRCC) exhibited a clear correlation between the presence of this speckle expression signature, imaging-based speckle phenotype, and clinical outcomes. ccRCC is typified by hyperactivation of the HIF-2 transcription factor, and we demonstrate here that HIF-2 drives physical association of a select subset of its target genes with nuclear speckles. Disruption of HIF-2-driven speckle association via deletion of its speckle targeting motifs (STMs)--defined in this study--led to defective induction of speckle-associating HIF-2 target genes without impacting non-speckle-associating HIF-2 target genes. We further identify the RNA export complex, TREX, as being specifically altered in speckle signature, and knockdown of key TREX component, ALYREF, also compromises speckle-associated gene expression. By integrating tissue culture functional studies with tumor genomic and imaging analysis, we show that HIF-2 gene regulatory programs are impacted by specific manipulation of speckle phenotype and by abrogation of speckle targeting abilities of HIF-2. These findings suggest that, in ccRCC, a key biological function of nuclear speckles is to modulate expression of a specific subset of HIF-2-regulated target genes that, in turn, influence patient outcomes. We also identify STMs in other transcription factors, suggesting that DNA-speckle targeting may be a general mechanism of gene regulation. HIGHLIGHTS- Nuclear speckles shown to reproducibly vary in cancer, predicting patient survival in ccRCC - HIF-2 drives DNA/gene-speckle contacts dependent on identified speckle targeting motifs within HIF-2 - Putative speckle targeting motifs are highly enriched among regulators of gene expression - Partitioning of transcription factor functional programs may be a major biological function of nuclear speckles

cancer biology↗

Decision-consistent bias mediated by drift dynamics of human visual working memory

Sensory evidence tends to be fleeting, often unavailable when we categorize or estimate world features. To overcome this, our brains sustain sensory information in working memory. Although keeping that information accurate while acting on it is vital, humans display two canonical biases: estimates are biased toward a few stimuli ("stimulus-specific bias") and prior decisions ("decision-consistent bias"). Integrative--especially neural mechanistic--accounts of these biases remain scarce. Here, we identify drift dynamics toward discrete attractors as a common source of both biases in orientation estimation, with decisions further steering memory states. Behavior and neuroimaging data reveal how these biases co-evolve through the decision-steered attractor dynamics. Task-optimized recurrent neural networks suggest neural mechanisms that enable categorical decisions to emerge from working memory for continuous stimuli while updating its trajectory, warping decision-consistent biases under stimulus-specific drift.

neuroscience↗

Spatial correspondence in relative space regulates serial dependence

Our perception is often attracted to what we have seen before, a phenomenon called serial dependence. Serial dependence can help maintain a stable perception of the world, given the statistical regularity in the environment. If serial dependence serves this presumed utility, it should be pronounced when consecutive elements share the same identity when multiple elements spatially shift across successive views. However, such preferential serial dependence between identity-matching elements in dynamic situations has never been empirically tested. Here, we hypothesized that serial dependence between consecutive elements is modulated more effectively by the spatial correspondence in relative space than by that in absolute space because spatial correspondence in relative coordinates can warrant identity matching invariantly to changes in absolute coordinates. To test this hypothesis, we developed a task where two targets change positions in unison between successive views. We found that serial dependence was substantially modulated by the correspondence in relative coordinates, but not by that in absolute coordinates. Moreover, such selective modulation by the correspondence in relative space was also observed even for the serial dependence defined by previous non-target elements. Our findings are consistent with the view that serial dependence subserves object-based perceptual stabilization over time in dynamic situations.

animal behavior and cognition↗

Programmable RNA-guided endonucleases are widespread in eukaryotes and their viruses

TnpB proteins are RNA-guided nucleases that are broadly associated with IS200/605 family transposons in prokaryotes. TnpB homologs, named Fanzors, have been detected in genomes of some eukaryotes and large viruses, but their activity and functions in eukaryotes remain unknown. We searched genomes of diverse eukaryotes and their viruses for TnpB homologs and identified numerous putative RNA-guided nucleases that are often associated with various transposases, suggesting they are encoded in mobile genetic elements. Reconstruction of the evolution of these nucleases, which we rename Horizontally-transferred Eukaryotic RNA-guided Mobile Element Systems (HERMES), revealed multiple acquisitions of TnpBs by eukaryotes and subsequent diversification. In their adaptation and spread in eukaryotes, HERMES proteins acquired nuclear localization signals, and genes captured introns, indicating extensive, long term adaptation to functioning in eukaryotic cells. Biochemical and cellular evidence show that HERMES employ non-coding RNAs encoded adjacent to the nuclease for RNA-guided cleavage of double-stranded DNA. HERMES nucleases contain a re-arranged catalytic site of the RuvC domain, similar to a distinct subset of TnpBs, and lack collateral cleavage activity. We demonstrate that HERMES can be harnessed for genome editing in human cells, highlighting the potential of these widespread eukaryotic RNA-guided nucleases for biotechnology applications.

molecular biology↗

Telomeric repeat evolution in the phylum Nematoda revealed by high-quality genome assemblies and subtelomere structures

Telomeres are composed of tandem arrays of telomeric-repeat motifs (TRMs) and telomere-binding proteins (TBPs), which are responsible for ensuring end-protection and end-replication of chromosomes. TRMs are highly conserved due to the sequence specificity of TBPs, but significant alterations in TRM have also been observed in several taxa, except Nematoda. We used public whole-genome sequencing datasets to analyze putative TRMs of 100 nematode species and determined that two distinct branches included specific novel TRMs, suggesting that evolutionary alterations in TRMs occurred in Nematoda. We focused on one of the two branches, the Panagrolaimidae family, and performed a de novo assembly of four high-quality draft genomes of the canonical (TTAGGC) and novel TRM (TTAGAC)-containing isolates; the latter genomes revealed densely clustered arrays of the novel TRM. We then comprehensively analyzed the subtelomeric regions of the genomes to infer how the novel TRM evolved. We identified DNA damage-repair signatures in subtelomeric sequences that were representative of consequences of telomere maintenance mechanisms by alternative lengthening of telomeres. We propose a hypothetical scenario in which TTAGAC-containing units are clustered in subtelomeric regions and pre-existing TBPs capable of binding both canonical and novel TRMs aided the evolution of the novel TRM in the Panagrolaimidae family.

evolutionary biology↗

Putrescine acetyltransferase (PAT/SAT1) dependent GABA synthesis in astrocytes

GABA synthesis in astrocytes mediates tonic inhibition to regulate patho-physiological processes in various brain regions. Monoamine oxidase B (MAO-B) has been known to be the most important metabolic enzyme for synthesizing GABA from the putrescine degradation pathway. MAO-B converts N1-acetylputrescine to N1-acetyl-{gamma}-aminobutyraldehyde and hydrogen peroxide (H2O2). Putrescine acetyltransferase (PAT), also known as spermidine and spermine N1-acetyltransferase 1 (SAT1), has been thought to be a feasible candidate enzyme for converting putrescine to N1-acetylputrescine. However, it has not been rigorously investigated or determined whether PAT/SAT1 contributes to GABA synthesis in astrocytes. To investigate the contribution of PAT/SAT1 to GABA synthesis in astrocytes, we conducted sniffer patch and whole-cell patch experiments with gene silencing of PAT/SAT1 by Sat1 shRNA expression. Our results showed that the gene silencing of PAT/SAT1 significantly decreased the MAO-B-dependent GABA synthesis, which was induced by putrescine incubation, leading to decreased Ca2+-dependent release of GABA in vitro. Additionally, we found that, from the brain slice ex vivo, putrescine incubation induces tonic GABA inhibition in dentate gyrus granule cells, which can be inhibited by MAO-B inhibitor, selegiline. Consistent with our in vitro results, astrocytic gene silencing of PAT/SAT1 significantly reduced putrescine incubation-induced tonic GABA current, possibly by converting putrescine to N1-acetylputrescine, a substrate of MAO-B. Our findings emphasize a crucial role of PAT/SAT1 in MAO-B-dependent GABA synthesis in astrocytes.

neuroscience↗

Transposable element RNA dysregulation in mutant KRAS(G12C) 3D lung cancer spheroids

Mutant KRAS regulates transposable element (TE) RNA and interferon-stimulated gene (ISG) expression, but it remains unclear whether diverse mutations in KRAS affect different TE RNAs throughout the genome. We analyzed the transcriptomes of 3D human lung cancer spheroids that harbor KRAS(G12C) mutations to determine the landscape of TE RNAs regulated by mutant KRAS(G12C). We found that KRAS(G12C) signaling is required for the expression of LINE- and LTR-derived TE RNAs that are distinct from TE RNAs previously shown to be regulated by mutant KRAS(G12D) or KRAS(G12V). Moreover, KRAS(G12C) inhibition specifically upregulates SINE-derived TE RNAs from the youngest Alu subfamily AluY. Our results reveal that TE RNA dysregulation in KRAS-driven lung cancer cells is mutation-dependent, while also highlighting a subset of young, Alu-derived TE RNAs that are coordinately activated with innate immunity genes upon KRAS(G12C) inhibition.

genomics↗

Effect of acute ultraviolet radiation on Galleria mellonella health and immunity

For humans, acute and chronic overexposure to ultraviolet (UV) radiation can cause tissue damage in the form of sunburn and promote cancer(s). The immune-modulating properties of UV radiation and health-related consequences are not well known. Herein, we used the larvae of the wax moth (Galleria mellonella) to determine UV-driven changes in cellular components of innate immunity. From immune cell (haemocyte) reactivity and the production of antimicrobial factors, these insects share many functional similarities with mammalian innate immunity. After exposing insects to UVA or UVB, we monitored larval viability, susceptibility to infection, haemolymph (blood) physiology and faecal discharge. Prolonged exposure of larvae to UVB coincided with decreased survival, enhanced susceptibility to bacterial challenge, melanin synthesis in the haemolymph, compromised haemocyte functionality and changes in faecal (bacterial) content. We contend G. mellonella is a reliable in vivo model for assessing the impact of UV exposure at the whole organism and cellular levels.

cell biology↗

The microbial composition and functional roles of different kombucha products in Singapore

Kombucha is a fermented tea traditionally known for its health-enhancing properties owing to the bioactive compounds generated by acetic acid bacteria (AAB) and lactic acid bacteria (LAB). We compared the distribution of AAB and LAB and their functional pathways across nine commercial kombucha products in Singapore using shotgun metagenomic sequencing. A high prevalence of Komagataeibacter species including Komagataeibacter saccharivorans (82.93% in B), Komagataeibacter xylinus (93.38% in D) and Komagataeibacter rhaeticus (92.20% and 30.62% in G and I) was detected in AAB-dominant kombucha. LAB-dominant kombucha was largely represented by Bacillus coagulans (~99% in E and F) and Lactobacillus nagelii (~60% in H). Despite differences in bacterial composition, both LAB-and AAB-dominant kombucha harbour pathways involved in the biosynthesis of short-chain fatty acids (SCFAs), amino and organic acids and vitamin B12. "Fatty acid and beta-oxidation II (peroxisome)" and "fatty acid and beta-oxidation I" were detected in the LAB but not the AAB-dominant kombucha.

microbiology↗