Biology subjects

Chen, T.

Publications and source records attributed to Chen, T..

At least 199 records · Page 11Linked to original sources

bioRxiv2023

H2O2 sulfenylates CHE linking local infection to establishment of systemic acquired resistance

In plants, a local infection can lead to systemic acquired resistance (SAR) through increased production of salicylic acid (SA). For 30 years, the identity of the mobile signal and its direct transduction mechanism for systemic SA synthesis in initiating SAR have been hotly debated. We found that, upon pathogen challenge, the cysteine residue of transcription factor CHE undergoes sulfenylation in systemic tissues, enhancing its binding to the promoter of SA-synthesis gene, ICS1, and increasing SA production. This occurs independently of previously reported pipecolic acid (Pip) signal. Instead, H2O2 produced by NADPH oxidase, RBOHD, is the mobile signal that sulfenylates CHE in a concentration-dependent manner. This modification serves as a molecular switch that activates CHE-mediated SA-increase and subsequent Pip-accumulation in systemic tissues to synergistically induce SAR. One Sentence SummaryRBOHD-generated H2O2 sulfenylates transcription factor CHE to establish systemic acquired resistance in plants.

plant biology↗

bioRxiv2023

Tumor-intrinsic LKB1-LIF signaling axis establishes a myeloid niche to promote immune evasion and tumor growth

Tumor mutations can influence the surrounding microenvironment leading to suppression of anti-tumor immune responses and thereby contributing to tumor progression and failure of cancer therapies. Here we use genetically engineered lung cancer mouse models and patient samples to dissect how LKB1 mutations accelerate tumor growth by reshaping the immune microenvironment. Comprehensive immune profiling of LKB1-mutant vs wildtype tumors revealed dramatic changes in myeloid cells, specifically enrichment of Arg1+ interstitial macrophages and SiglecFHi neutrophils. We discovered a novel mechanism whereby autocrine LIF signaling in Lkb1-mutant tumors drives tumorigenesis by reprogramming myeloid cells in the immune microenvironment. Inhibiting LIF signaling in Lkb1-mutant tumors, via gene targeting or with a neutralizing antibody, resulted in a striking reduction in Arg1+ interstitial macrophages and SiglecFHi neutrophils, expansion of antigen specific T cells, and inhibition of tumor progression. Thus, targeting LIF signaling provides a new therapeutic approach to reverse the immunosuppressive microenvironment of LKB1-mutant tumors.

cancer biology↗

bioRxiv2023

Trafficking Machinery is Rapidly Primed to Facilitate Polarised IL-6 Secretion in Dendritic Cells

The mounting of an adaptive immune response is critical for removing pathogens from the body and generating immunological memory. Central to this process are myeloid cells, which sense pathogens through a variety of cell surface receptors, engulf and destroy pathogens and become activated. Activation is essential for the release of cytokines as well as the cell-surface presentation of pathogen-derived-antigens. Activation-induced cytokine release by myeloid cells requires a complex series of molecular events to facilitate cytokine expression. However, although the transcriptional machinery regulating cytokine expression is well defined, it is becoming increasingly clear that trafficking machinery has to be re-programmed through post-translational modifications to dynamically regulate cytokine secretory events. We demonstrate through quantitative total internal-resonance fluorescence (TIRF) microscopy that short-term stimulation with the pathogenic stimulus lipopolysaccharide (LPS) is sufficient to up-regulate IL-6 secretion rates in human blood monocyte-derived dendritic cells and that this secretion is asymmetric and thus polarised. Using bioinformatics analysis of our phosphoproteomic data, we demonstrate that LPS stimulation of monocyte-derived dendritic cells rapidly reprograms SNARE-associated membrane trafficking machinery, through phosphorylation/dephosphorylation events. Finally, we link this enhanced rate of secretion to the phosphorylation of the SNARE protein VAMP3 at serine 44 (48 in mice), by showing that this phosphorylation drives the release of VAMP3 by its chaperone WDFY2 and the complexing of VAMP3 with STX4 at the plasma membrane.

cell biology↗

bioRxiv2023

Metal-induced energy transfer (MIET) imaging of cell surface engineering with multivalent DNA nanobrushes

The spacing between cells has a significant impact on cell-cell interactions, which are critical to the fate and function of both individual cells and multicellular organisms. However, accurately measuring the distance between cell membranes and the variations between different membranes has proven to be a challenging task. In this study, we employ metal-induced energy transfer (MIET) imaging/spectroscopy to determine and track the inter-membrane distance and variations with nanometer precision. We have developed a DNA-based molecular adhesive called the DNA nanobrush, which serves as a cellular adhesive for connecting plasma membranes of different cells. By manipulating the number of base pairs within the DNA nanobrush, we can modify various aspects of cell-cell interactions, such as adhesive directionality, distance, and forces. We demonstrate that such nanometer-level changes can be detected with the MIET imaging/spectroscopy. Moreover, we successfully employ MIET to measure distance variations between a cellular plasma membrane and a model membrane. This experiment does not only showcase the effectiveness of MIET as a powerful tool for accurately quantifying cell-cell interactions, but does also validate the potential of DNA nanobrushes as cellular adhesives. This innovative method holds significant implications for advancing the study of multicellular interactions.

biophysics↗

bioRxiv2023

Single-cell landscape reveals NAMPT mediated macrophage polarization that regulate smooth muscle cell phenotypic switch in pulmonary arterial hypertension

RationalePulmonary arterial hypertension (PAH) is a progressive and lethal disease that leads to elevated pulmonary vascular resistance and right ventricular failure. The phenotypic switching of pulmonary arterial smooth muscle cells (SMCs) plays a crucial role in the pathological progression of PAH. However, the underlying mechanism of SMC phenotypic modulation remains unclear. ObjectivesWe aim to provide a comprehensive understanding of SMC phenotypes and regulatory networks by analyzing hypertensive and non-diseased pulmonary arteries. MethodsWe performed single-cell RNA sequencing (scRNA-seq) on pulmonary arteries obtained from patients with PAH and healthy donors. This was followed by bioinformatics analyses, mouse models, and in vitro studies to construct a normal pulmonary artery atlas, characterize SMC phenotypes, investigate intercellular communication, and explore the molecular mechanisms underlying SMC phenotypic switching. Measurements and Main ResultsOur scRNA-seq analysis identified specific activation of vascular cells, including myofibrocytes, macrophage M2 polarization, endothelial-mesenchymal transition, and chondroid-like SMCs in healthy pulmonary arteries. In PAH pathology, there was an enhanced phenotypic switch of SMCs from contractile to fibroblast-like. Intercellular communication revealed increased M1 macrophage-SMC crosstalk in PAH, which was facilitated by NAMPT. Using a cellular co-culture system, we found that NAMPT-mediated M1 macrophage polarization induced fibroblast-like phenotypic switching in SMCs via the CCR2/CCR5 axis. ConclusionsOur findings provide a comprehensive cell atlas of healthy human pulmonary arteries and demonstrate that NAMPT-driven M1 macrophage polarization plays a critical role in the fibroblast-like phenotypic switching of SMCs through CCR2/CCR5 cellular crosstalk in PAH.

molecular biology↗

bioRxiv2023

De Novo Generation and Prioritization of Target-Binding Peptide Motifs from Sequence Alone

Designing binders to target undruggable proteins presents a formidable challenge in drug discovery, requiring innovative approaches to overcome the lack of putative binding sites. Recently, generative models have been trained to design binding proteins via three-dimensional structures of target proteins, but as a result, struggle to design binders to disordered or conformationally unstable targets. In this work, we provide a generalizable algorithmic framework to design short, target-binding linear peptides, requiring only the amino acid sequence of the target protein. To do this, we propose a process to generate naturalistic peptide candidates through Gaussian perturbation of the peptidic latent space of the ESM-2 protein language model, and subsequently screen these novel linear sequences for target-selective interaction activity via a CLIP-based contrastive learning architecture. By integrating these generative and discriminative steps, we create a Peptide Prioritization via CLIP (PepPrCLIP) pipeline and validate highly-ranked, target-specific peptides experimentally, both as inhibitory peptides and as fusions to E3 ubiquitin ligase domains, demonstrating functionally potent binding and degradation of conformationally diverse protein targets in vitro. Overall, our design strategy provides a modular toolkit for designing short binding linear peptides to any target protein without the reliance on stable and ordered tertiary structure, enabling generation of programmable modulators to undruggable and disordered proteins such as transcription factors and fusion oncoproteins.

bioengineering↗

bioRxiv2023

African swine fever virus I196L is a virulence determinant and its deletant induces robust protection in Domestic pig

The worldwide pandemic of African swine fever virus (ASFV) has a profound impact on the global pig industry. ASFV is a complex multilayered structure and the functions of unknown genes are being revealed. Here we deleted I196L from virulent ASFV SY18 with different length and obtained two recombinant viruses. The replication efficiency of the two recombinant viruses were similar but significantly lower than parental SY18. The pigs all survived the two recombinant viruses with 106.0TCID50 except one pig occurred sudden death and the suvived pigs all resisted the challenge without fever after intramuscularly injecting a lethal dose (102.0TCID50) of ASFV SY18. The recombinant viruses induced a strong anti-p54 humoral immune response. Meanwhile, the pigs also inevitably appeared moderate to high viremia throughout the observation period and presented a gradually downward trend. The results show that deleting I196L gene is a potential and effective vaccine that protects pigs from ASFV. IMPORTANCEThe worldwide outbreak of African swine fever (ASF) cannot be effectively prevented due to no availably commercial vaccine. Many different types of vaccine candidates are researched and reported, which is a hopeful trend to develop safety and efficacy vaccine. Here we report on an unknown functional gene, I196L, which affects the virulence and replication of ASFV. When I196L was deleted from ASFV SY18, the recombinant virus decreased virulence and resisted the challenge of parental strain. This is a novel, effective, potential live attenuated vaccine (LAVs) for ASF.

immunology↗

bioRxiv2023

Dissecting peri-implantation development using cultured human embryos and embryo-like assembloids

Studies of cultured embryos have provided insights into human peri-implantation development. However, detailed knowledge of peri-implantation lineage developments as well as underlying mechanisms remain obscure. Using 3D-cultured human embryos, herein we report a complete cell atlas of the early post-implantation lineages and decipher cellular composition and gene signatures of the epiblast and hypoblast derivatives. In addition, we develop an embryo-like assembloid (E-assembloid) by assembling naive hESCs and extraembryonic cells. Using human embryos and E-assembloids, we reveal that WNT, BMP and Nodal signaling synergistically, but functionally differently, orchestrate human peri-implantation lineage development. Specially, we dissect mechanisms underlying extraembryonic mesoderm and extraembryonic endoderm specifications. Finally, an improved E-assembloid is developed to recapitulate the epiblast and hypoblast developments and tissue architectures in the pre-gastrulation human embryo. Our findings provide insights of the human peri-implantation development, and the E-assembloid offers a useful model to disentangle cellular behaviors and signaling interactions that drive human embryogenesis.

developmental biology↗

bioRxiv2023

High-resolution Dynamic Human Brain Neural Activity Recording Using 3T MRI

Despite extensive research over decades, a non-invasive technique capable of capturing neural activities in the human brain with high spatiotemporal resolution is still lacking. The recently proposed direct imaging of neuronal activity (DIANA) using ultrahigh-field magnetic resonance imaging (MRI) has shown promise, but the translation from anesthetized mice to awake humans poses a significant challenge. Here we present Time Resolved ImaGing of Global Electroneurophysiological Record (TRIGGER), a novel technique that enables the direct detection of neural activity in the awake human brain using 3T MRI. In 18 participants, visual responses were captured at 5-mm spatial resolution and 1.4-ms temporal resolution. Importantly, the delay in stimulus presentation reliably corresponded to the latency of neural responses on a millisecond scale. Furthermore, when stimuli were presented to one visual field, the responses in two hemispheres exhibited the expected time difference. This non-invasive mapping approach holds the potential to elucidate neural dynamics underlying human brain function and disorders.

neuroscience↗

bioRxiv2023

genomicBERT and data-free deep-learning model evaluation

The genome, which serves as the inherent language directing the blueprint of life, offers significant analysis prospects by combining Natural Language Processing (NLP) and machine learning (ML). Integrating biological sequences with other digital healthcare information has potential to transform data-driven diagnostics. Large language models (LLMs) can be harnessed to decode the genomic language. This endeavor encounters three critical challenges: First, long biomolecular sequences require segmentation into smaller subunits, which is non-trivial since many biological "words" remain unknown. Second, the analysis of extended DNA sequences using LLMs demands a compute-intensive infrastructure. Third, ensuring reproducibility and reusability of modeling workflows remains an unresolved issue. To tackle these challenges, we introduce an empirical DNA tokenisation approach and a versatile, semantic-aware, genome language model --genomicBERT. The model is species-agnostic and operates seamlessly at the DNA or RNA levels. By introducing a reduced and specialized DNA vocabulary, our approach minimizes computational overhead and optimizes performance. Our benchmarking demonstrates that the genomicBERT matches or surpasses the performance of contemporary tools on the same datasets under different experimental conditions. To encourage collaboration and ease of access, we introduce genomicBERT as an integral component of the openly accessible conda package, genomeNLP. Validated across diverse case studies, genomicBERT lowers the barriers to decoding genomic language, relying solely on sequence data to extract meaningful insights. HighlightsO_LIThis novel model offers a compelling solution for DNA sequence analysis by significantly reducing model size and computational costs without compromising performance, setting a new standard for efficient model development. C_LIO_LIWe demonstrate that a powerful vocabulary and tokenization method helps to derive patterns from biological sequence data while accounting for hidden semantic rules. C_LIO_LIOur method is agnostic to species or biomolecule type as it is data-driven. Hence, it can be applied to DNA and RNA C_LIO_LIWe validate the important genomicBERT tokens by mapping back to the biologically significant motifs. C_LIO_LIWe present a publicly available genome language modeling toolkit called genomeNLP, specifically designed to combine computational linguistics and genomics, enabling researchers from biology backgrounds to analyze and interpret genomic sequences effectively. C_LI

bioinformatics↗

bioRxiv2023

A GPCR screening in human keratinocytes identifies that the metabolite receptor HCAR3 controls epithelial proliferation, migration, and cellular respiration.

Epithelial cells in the skin and other tissues rely on signals from their environment to maintain homeostasis and respond to injury, and G protein-coupled receptors (GPCRs) play a critical role in this communication. A better understanding of the GPCRs expressed in epithelial cells will contribute to understanding the relationship between cells and their niche and could lead to developing new therapies to modulate cell fate. This study used human primary keratinocytes as a model to investigate the specific GPCRs regulating epithelial cell proliferation and differentiation. We identified three key receptors, hydroxycarboxylic acid-receptor 3 (HCAR3), leukotriene B4-receptor 1 (LTB4R), and G Protein-Coupled Receptor 137 (GPR137) and found that knockdown of these receptors led to changes in numerous gene networks that are important for maintaining cell identity and promoting proliferation while inhibiting differentiation. Our study also revealed that the metabolite receptor HCAR3 regulates keratinocyte migration and cellular metabolism. Knockdown of HCAR3 led to reduced keratinocyte migration and respiration, which could be attributed to altered metabolite use and aberrant mitochondrial morphology caused by the absence of the receptor. This study contributes to understanding the complex interplay between GPCR signaling and epithelial cell fate decisions.

cell biology↗

bioRxiv2023

A high-content screen identified ingenol-3-angelate as an enhancer of B7-H3-CAR T cell activity by increasing B7-H3 protein expression on the target cell surface via protein kinase C alpha activation

CAR T cell therapy is a promising approach to improve outcomes and decrease toxicities for patients with cancer. While extraordinary success has been achieved using CAR T cells to treat patients with CD19-positive malignancies, multiple obstacles have so far limited the benefit of CAR T cell therapy for patients with solid tumors. Novel manufacturing and engineering approaches show great promise to enhance CAR T cell function against solid tumors. However, similar to single agent chemotherapy approaches, CAR T cell monotherapy may be unable to achieve high cure rates for patients with difficult to treat solid tumors. Thus, combinatorial drug plus CAR T cell approaches may ultimately be required to achieve widespread clinical success. In this regard, we developed a novel high-content and high-throughput screen to evaluate 1114 FDA approved drugs to increase expression of the solid tumor antigen B7-H3 in metastatic osteosarcoma cells. In this proof-of-principle screen, we demonstrate that ingenol-3-angelate increased B7-H3 (CD276) mRNA, total protein, and cell surface expression. Mechanistically, ingenol-3-angelate increased B7-H3 expression via protein kinase C alpha activation. Functionally, ingenol-3-angelate induced B7-H3 expression enhanced B7-H3-CAR T cell function, highlighting utility of the approach, and paving the way for expanding this high-throughput and high-content technique to study other tumor and CAR T cell combinations.

cancer biology↗

bioRxiv2023

Measuring sub-nanometer fluctuations at microsecond temporal resolution with metal- and graphene-induced energy transfer spectroscopy

Out-of-plane fluctuations, also known as stochastic displacements, of biological membranes play a crucial role in regulating many essential life processes within cells and organelles. Despite the availability of various methods for quantifying membrane dynamics, accurately quantifying complex membrane systems with rapid and tiny fluctuations, such as mitochondria, remains a challenge. In this work, we present a novel methodology that combines metal/graphene-induced energy transfer (MIET/GIET) with fluorescence correlation spectroscopy (FCS) to quantify out-of-plane fluctuations of membranes with simultaneous spatiotem-poral resolution of approximately one nanometer and one microsecond that is unprecedented. To validate the technique and spatiotemporal resolution, we measured bending undulations of model membranes. Furthermore, we demonstrate the versatility and applicability of MIET/GIET-FCS for studying diverse membrane systems, including the widely studied fluctuating membrane system of human red blood cells, as well as two unexplored membrane systems with tiny fluctuations, a pore-spanning membrane, and mitochondrial inner/outer membranes.

biophysics↗

bioRxiv2023

Immune-induced remodelling of mRNA structurome regulates uORF-mediated translation

To survive stress, eukaryotes selectively translate stress-related transcripts while inhibiting growth-associated protein production. How this translational reprogramming occurs under biotic stress has not been systematically studied. To identify common features shared by transcripts with stress-upregulated translation efficiency (TE-up), we first performed high-resolution ribosome-sequencing in Arabidopsis during pattern-triggered immunity and found that TE-up transcripts are enriched with upstream open reading frames (uORFs). Under non-stress conditions, start codons of these uORFs (uAUGs) have higher-than-background ribosomal association. Upon immune induction, there is an overall downshift in ribosome occupancy at uAUGs, accompanied by enhanced translation of main ORFs (mORFs). Using in planta nucleotide-resolution mRNA structurome probing, we discovered that this stress-induced switch in translation is mediated by highly structured regions detected downstream of uAUGs in TE-up transcripts. Without stress, these structures are responsible for uORF-mediated inhibition of mORF translation by slowing progression of the translation preinitiation complex to initiate translation from uAUGs, instead of mAUGs. In response to immune induction, uORF-inhibition is alleviated by three Ded1p/DDX3X-homologous RNA helicases which unwind the RNA structures, allowing ribosomes to bypass the inhibitory uORFs and upregulate defence protein production. Conservation of the RNA helicases suggests that mRNA structurome remodelling is a general mechanism for stress-induced translation across kingdoms.

plant biology↗

bioRxiv2023

Exploring the potential of Bacillus subtilis as cell factory for food ingredients and special chemicals

BackgroundBacillus subtilis has been established as model microorganism for fundamental research in the laboratory on protein production/secretion and sporulation and as model bacterium for controlling spoilage in the food industry. It has also been used for production of (commercial) enzymes and several secondary metabolites such as vitamins. However, this doesnt fully reflect the potential of B. subtilis as a cell-factory. Here, various strains of B. subtilis, including food-grade, spore-deficient strains and industrially used strains, were compared for their growth and metabolic potential. Industry-relevant parameters were analyzed for all strains under various aeration regimes, under anaerobic conditions, in various nutritious and nutrient-limited cultivation media, with and without organic nitrogen sources, and with and without sugar. ResultsPractical experiments were conducted to compare industrial relevant properties like growth rates, intracellular components and extracellular metabolite profile of different B. subtilis strains. Based on growth flexibility in different media, we found that some strains like NCIB3610 and DSM1092 are adapted to inorganic or organic nitrogen source utilization, which is highly relevant when considering a biorefinery approach using various cheap and abundant waste/sidestreams. Secondly, spore-deficient strains such as 3NA, 168S and PY79S, showed advantages in microbial protein and acetolactate pathway expression, which is associated with applications in food industry for protein supplement and diacetyl production. Lastly, WB800 and PY79S exhibited potential for fermentative production of Dipicolinic acid, 2,3-Butanediol and Lactic acid that could serve as precursors for biopolymers. ConclusionThis study demonstrates the broad potential for more extensive industrial use of Bacillus subtilis in the (bio-based) chemical industry for use of sidestreams, in the personal care industry, in the food industry for food additive production, and in the bio-sustainable industry for biofuel and bio-degradable plastic precursors production. In addition, selecting different B. subtilis strains for specific purposes makes full use of the diversity of this species and increases the potential of B. subtilis in its contribution to the bio-based economy.

microbiology↗

bioRxiv2023

A CRISPR-drug perturbational map for identifying new compounds to combine with commonly used chemotherapeutics.

Combination chemotherapy is crucial for achieving durable cancer cures, however, developing safe and effective drug combinations has been a significant challenge. To improve this process, we conducted large-scale targeted CRISPR knockout screens in drug-treated cells, creating a genetic map of druggable genes that sensitize cells to commonly used chemotherapeutics. We prioritized neuroblastoma, the most common pediatric solid tumor, where 50% of high-risk patients do not survive. Our screen examined all druggable gene knockouts in 18 cell lines (10 neuroblastoma, 8 others) treated with 8 widely used drugs, resulting in 94,320 unique combination-cell line perturbations, which is comparable to the largest drug combination screens ever reported. Remarkably, using dense drug-drug rescreening, we found that the top CRISPR-nominated drug combinations were far more synergistic than standard-of-care combinations, suggesting existing combinations could be improved. As proof of principle, we discovered that inhibition of PRKDC, a component of the non-homologous end-joining pathway, sensitizes high-risk neuroblastoma cells to the standard-of-care drug doxorubicin in vitro and in vivo using PDX models. Our findings provide a valuable resource for the development of improved chemotherapeutic strategies and demonstrate the feasibility of using targeted CRISPR knockout to discover new combinations with common chemotherapeutics, a methodology with application across all cancers.

cancer biology↗

bioRxiv2023

Arabidopsis NF-YCs interact with CRY2 and PIF4/5 to repress blue light-mediated hypocotyl growth

Plants can not move automatically, thus they have to perceive the changing environment (light, temperate and so on) by developing the adapted phenotypes. Light-induced hypocotyl length is an ideal phenotype for studying how plants response to light. So far, many signaling components in light-induced hypocotyl growth have been reported. Here, we focused on identifying transcription factors (TFs) involved in blue light-induced hypocotyl growth by constructing Arabidopsis TFs overexpressing lines and screening blue light-induced hypocotyl length. Finally, we found that three NF-YC proteins, NF-YC7, NF-YC5 and NF-YC8 (NF-YCs as short name), develop longer hypocotyls than the wild type under blue light. While deficient mutants, nf-yc5nf-yc7 and nf-yc7nf-yc8, fail to promote the hypocotyl elongation under blue light. NF-YCs physically interacted with CRY2 and PIF4/5, while the NF-YCs-PIF4/5 interactions were repressed by CRY2. Moreover, overexpression of CRY2 or deficiency of PIF4/5 repressed the hypocotyl elongation induced by NF-YC7 under blue light. Further investigation revealed that NF-YC7 increased the blue light-induced CRY2 degradation and regulated the activities of PIF4/5. Taking together, this study provided a new insight into that NF-YCs function as CRY2-and PIF4/5-interacting proteins and modulate their stabilization to repress the blue light-mediated hypocotyl growth. Author SummaryLight is an essential environmental factor for plants growth and development. Plants response to light signaling by displaying short hypocotyls, green leaves, and so on. The mechanisms of light responding to light have aroused extensive attention. In this study, we clarified that NF-YC family members NF-YC5/7/8 interact with CRY2, PIF4/5 and modulate their stabilization to repress the blue light-mediated hypocotyl growth. It was the first time for reporting NF-Y family members function as CRY2-and PIF4/5-interacting proteins. Therefore, this study provides a novel understanding how plants adapt to light.

genetics↗

bioRxiv2023

Mitochondrial GTP Metabolism Regulates Reproductive Aging

Healthy mitochondria are critical for reproduction. During aging, both reproductive fitness and mitochondrial homeostasis decline. Mitochondrial metabolism and dynamics are key factors in supporting mitochondrial homeostasis. However, how they are coupled to control reproductive health remains unclear. We report that mitochondrial GTP metabolism acts through mitochondrial dynamics factors to regulate reproductive aging. We discovered that germline-only inactivation of GTP- but not ATP-specific succinyl-CoA synthetase (SCS), promotes reproductive longevity in Caenorhabditis elegans. We further revealed an age-associated increase in mitochondrial clustering surrounding oocyte nuclei, which is attenuated by the GTP-specific SCS inactivation. Germline-only induction of mitochondrial fission factors sufficiently promotes mitochondrial dispersion and reproductive longevity. Moreover, we discovered that bacterial inputs affect mitochondrial GTP and dynamics factors to modulate reproductive aging. These results demonstrate the significance of mitochondrial GTP metabolism in regulating oocyte mitochondrial homeostasis and reproductive longevity and reveal mitochondrial fission induction as an effective strategy to improve reproductive health.

cell biology↗