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Biology subjects

Fan, K.

Publications and source records attributed to Fan, K..

At least 19 recordsLinked to original sources

TGFB1-Engineered Induced Mesenchymal Stromal Cells Exhibit High Immunomodulatory Potency and Durably Reprogram Synovial Macrophages in Osteoarthritis

Clinical translation of mesenchymal stromal cell (MSC) therapies derived from primary tissue sources is limited by manufacturing inconsistencies driven by donor-to-donor variability, which reduces predictability of clinical response. Induced pluripotent stem cell (iPSC)-derived MSCs (iMSCs) offer a promising donor-independent, clonal alternative strategy that is also more amenable to engineering, but whether engineered iMSCs reproduce the potency attributes of primary MSCs remains unclear. Here, we benchmarked a doxycycline-inducible, hTERT-immortalized iMSC line engineered to overexpress TGFB1 (TGFB1-iMSCs), a key regulator of macrophage polarization, against multiple adipose tissue-derived MSC (MSC(AT)) donors across predefined immunomodulatory and angiogenic potency attributes. TGFB1-iMSCs were smaller and more circular with comparable or higher proliferative rates than primary MSC(AT) donors. Interestingly, they had a distinct angiogenic signature (EDIL3, EDN1, PDGFA), and nine differentially expressed microRNAs were predicted to target secretory trafficking and growth factor receptor signalling. Functionally, however, TGFB1-iMSCs secreted less VEGF and showed intermediate HUVEC tube formation, but matched or exceeded all primary MSC(AT) donors in a monocyte-macrophage transwell immunomodulatory assay. Notably, in a murine destabilization of the medial meniscus (DMM) model of post-traumatic osteoarthritis, a single intra-articular injection of TGFB1-iMSCs, but not MSC(AT), reduced total synovial macrophage numbers and lowered the MHCII/CD206 ratio at eight weeks, although it did not reduce cartilage degeneration, synovitis, or fibrosis. Together, these findings show that TGFB1-engineered iMSCs have a macrophage-directed potency profile distinct from that of primary MSC(AT). Immortalized iMSCs therefore provide a reproducible platform for mechanistically dissecting engineered MSC potency and its effects on the immune environment.

immunology↗

A single-nucleus multi-omic atlas of gene regulation across 21 adult human tissues

Diverse human cell types establish specialized functions through lineage- and context-specific regulatory programs. Interpreting non-coding genetic risk requires integrated multi-omic reference maps that directly connect regulatory DNA to cellular expression across human tissues. Here we present a single-nucleus multi-omic atlas comprising 459,856 transcriptomic and chromatin accessibility profiles from 21 adult human tissues and four donors, including paired measurements from 160,688 nuclei. The atlas resolves nine cell lineages, 61 broad cell types and 313 subclusters, and identifies 1,085,062 candidate cis-regulatory elements (cCREs), including 161,270 novel elements absent from ENCODE. Regulatory activity was dominated by cell identity but refined by tissue context. Joint profiling enabled 871,177 cCRE-gene associations and revealed lineage-specific regulatory architectures. Cross-tissue accessibility further identified lineage-restricted and constitutively inaccessible chromatin domains, the latter showing preferential hypomethylation across human cancers. Furthermore, we leverage this dataset to train sequence-to-function models to predict chromatin-accessibility effects for 548,656 fine-mapped variants, identifying 18,133 high-effect variants, including 1,120 broadly active variants. Models trained for eight endothelial subtypes further resolve predicted variant effects across vascular beds. Together, this atlas provides a comprehensive cellular and computational framework for interpreting regulatory sequence, context-dependent gene control, and complex trait genetics across the human body.

genomics↗

Cancer-associated nucleolar morphological changes coincide with altered subcompartment organization and accelerated nascent rRNA trafficking in breast cancer cells

Nucleolar alterations are characteristic features of cancer cells; however, how changes in the overall morphology relate to internal subcompartment organization and ribosomal RNA (rRNA) dynamics remains unclear. In this study, the nucleolar organization of non-transformed MCF-10A mammary epithelial cells and MDA-MB-231 breast cancer cells was quantitatively compared. MDA-MB-231 cells exhibited differences in nucleolar morphology, accompanied by altered spatial organization of the dense fibrillar component and granular component, and accelerated intranucleolar trafficking of nascent rRNA. Pharmacological perturbation with SU056 shifted multiple structural and dynamic parameters toward an MCF-10A-like profile. Conversely, transient physicochemical perturbation with 1,6-hexanediol induced several MDA-MB-231-like nucleolar features in MCF-10A cells, which returned to their untreated profile after washout. These findings support the view that cancer-associated nucleolar alterations are an integrated reorganization across morphological, spatial, and dynamic dimensions. The observed reversibility further indicates that cancer-associated nucleolar organization can be remodeled in response to perturbations. By linking the morphology, subcompartment organization, and nascent rRNA dynamics within a common framework, this study provides a basis for exploring the establishment, maintenance, and remodeling of distinct nucleolar profiles in cancer.

cancer biology↗

Timed STING Inhibition Mitigates Gastrointestinal GvHD While Preserving Graft-versus-Leukemia Activity After Allo-HSCT

Allogeneic hematopoietic stem cell transplantation (allo-HSCT) is curative for hematological malignancies but limited by graft-versus-host disease (GvHD), in which donor T cells damage host tissues. Current prophylaxis broadly suppresses donor immunity, often compromising the beneficial graft-versus-leukemia (GvL) response, highlighting the need for strategies that uncouple GvHD from GvL. The cGAS-STING pathway can be strongly activated during conditioning-induced tissue damage and represents a potential therapeutic target. However, its context-dependent roles in inflammation and homeostasis have constrained its clinical translation. Here, we show that "timed" administration of the covalent STING inhibitor H151 before conditioning reduced GvHD-associated mortality without impairing GvL in murine allo-BMT models. Donor T cell activation and effector function were preserved, indicating that the protective effect operates at the level of GvHD target tissues rather than through systemic immunosuppression. Timed STING inhibition protected the intestinal epithelium by limiting apoptosis, preserving intestinal stem cell function, and sustaining metabolic fitness during conditioning-induced injury, independently of type I interferon (IFN-I) signaling. In allo-HSCT patients, low intestinal STING expression is associated with reduced transplant-related mortality. Together, these findings identify timed STING inhibition as a tissue-protective prophylactic strategy that could be incorporated into existing conditioning regimens to enhance efficacy while minimizing toxicity.

immunology↗

Entanglement-governed protein networks enable mechanically adaptive artificial skin for transplantation-scale skin replacement

Artificial skin substitutes that simultaneously achieve mechanical robustness, regenerative bioactivity, and transplantation-scale tissue integration remain challenging to engineer. Here we report a mechanically adaptive bilayer artificial skin based on entanglement-mediated protein networks. By integrating protein chain entanglement, flexible molecular linkers, and photo-triggered intermolecular crosslinking, we establish a hierarchically organized protein matrix with enhanced toughness, structural adaptability, and regenerative compatibility. Spatial biofunctionalization further enables integration of an antibacterial Zn{superscript 2}-coordinated epidermal layer and a regenerative CLP-EGF-functionalized dermal layer within a unified construct. The engineered skin promotes cellular proliferation through PI3K-AKT-mTOR activation, exhibits sustained antibacterial activity, and supports large-area full-thickness skin replacement covering approximately 40% of the dorsal skin surface in mice. The construct further accelerates diabetic wound repair and extracellular matrix remodeling in vivo. These findings establish entanglement-mediated protein engineering as a strategy for mechanically adaptive regenerative biomaterials and provide a platform for transplantation-scale skin regeneration.

bioengineering↗

The COX2-PGE2-PKA Axis Suppresses Antiviral Immunity by Inhibiting mtDNA-Dependent STING Activation.

The innate immune cGAS-STING pathway is activated by cytosolic double-stranded DNA (dsDNA) to induce type I interferon (IFN) response, which is essential for mounting the antiviral response. However, STING activation during viral infection is often insufficient to achieve complete viral clearance, suggesting the existence of additional mechanisms that evade its activity. Here, we identified COX2/PGE2 as a negative regulator of STING activation, particularly in response to arising cytosolic mitochondrial DNA (mtDNA) generated during HSV-1 infection. Mechanistically, PGE2, through the EP4-cAMP-PKA axis, induces mitophagy to remove defective mitochondria and hence prevent the accumulation of immunostimulatory cytosolic mtDNA, thereby dampening STING-mediated type I IFN and antiviral response. Furthermore, we identified STOML2 as a downstream target of PKA that connects mitochondrial quality control with the regulation of innate immune signaling. Together, our findings establish the COX2/PGE2/PKA axis as a negative regulator of mtDNA-STING signaling that may be targeted to potentiate STING-mediated type I IFN and innate immunity. O_FIG O_LINKSMALLFIG WIDTH=166 HEIGHT=200 SRC="FIGDIR/small/716411v1_ufig1.gif" ALT="Figure 1"> View larger version (35K): org.highwire.dtl.DTLVardef@1c39d56org.highwire.dtl.DTLVardef@18e7c0eorg.highwire.dtl.DTLVardef@172b353org.highwire.dtl.DTLVardef@15b215a_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOGraphical abstractC_FLOATNO C_FIG

cell biology↗

Decoding the Mechanism of Action of a Parasite TGFβAntagonist Inspires the Creation of Cell-type-specific TGFβ Modulators

Heligmosomoides polygyrus, a mouse parasite, modulates host immunity by secreting modular transforming growth factor-{beta} (TGF{beta}) mimics (TGMs). The agonist TGM1 interacts with TGFBR1, TGFBR2, and the co-receptor CD44 through domains D1/2, D3, and D4/5, respectively. In contrast, the antagonist TGM6, which lacks D1/2, but retains TGFBR2 binding through D3, targets different subsets of cells compared to TGM1. The TGM6 co-receptor is unknown. Using X-ray crystallography and binding studies, we show that TGM6 preferentially binds mouse TGFBR2 over human TGFBR2, and that this is essential for its antagonistic function. We identified low-density lipoprotein receptor-related protein 1 (LRP1) and betaglycan (TGFBR3) as co-receptors for TGM6. LRP1 enhances TGM6 efficacy and is vital for its specific antagonistic effects by promoting TGFBR2 degradation, while betaglycan counteracts TGM6 in a TGFBR2-dependent manner. The modular organization of TGMs enabled us to rationally design TGM1/6 chimeras or TGM-D3 fusion with an affibody that recognizes a specific cell-surface receptor, thereby altering cell-type specificity and functionality. Furthermore, we developed a TGFBR2 nanobody that, on its own, has no inhibitory effect but, when fused to a receptor antibody, antagonizes TGF{beta} signaling in a cell-selective manner. Thus, we designed programmable agents that modulate TGF{beta} signaling only in target co-receptor-expressing cells.

biochemistry↗

Ultrasound-enhanced retinal delivery of engineered viral vectors

The goal of this study was to examine Focused Ultrasound Blood-Retina Barrier Opening (FUS-BRBO) as a method to deliver gene therapy to the eye. We compared AAV.FUS.3, an engineered variant optimized for FUS-enhanced delivery to the central nervous system, and AAV9 for their utility as retinal gene vectors. To achieve this, mouse eyes were insonated by 4.667 MHz FUS in a custom-designed nosecone and vectors administered intravenously. We found 2.1-fold improvement of transduction of AAV.FUS.3 over AAV9 in the insonated area and 19.5-fold improvement over the uninsonated retina. Within that area, the ganglion cell layer showed the highest levels of transduction at 22% for AAV.FUS.3. We observed no gross tissue damage, change in retinal layer thickness, or increase in inflammation markers within the retina. FUS-BRBO has the potential to non-surgically deliver AAV-based vectors to spatially-defined regions of the retina. AAV.FUS.3 showed significantly improved transduction over AAV9 at the same dose. Further research to improve efficiency of delivery to the outer retina could expand the utility of FUS-BRBO.

bioengineering↗

CenSegNet: a generalist high-throughput deep learning framework for centrosome phenotyping at spatial and single-cell resolution in heterogeneous tissues

Centrosome abnormalities (CA) are a hallmark of epithelial cancers, yet their spatial complexity and phenotypic heterogeneity remain poorly resolved due to limitations in conventional image analysis. We present CenSegNet (Centrosome Segmentation Network), a modular deep learning framework for high-resolution, context-aware segmentation of centrosomes and epithelial architecture across diverse tissue types. Integrating a dual-branch architecture with uncertainty-guided refinement, CenSegNet achieves state-of-the-art performance and generalisability across both immunofluorescence and immunohistochemistry modalities, outperforming existing models in accuracy and morphological fidelity. Applied to tissue microarrays (TMAs) containing 911 breast cancer sample cores from 127 patients, CenSegNet enables the first large-scale, spatially resolved quantification of numerical and structural CA at single-cell resolution. These CA subtypes are mechanistically uncoupled, exhibiting distinct spatial distributions, age-dependent dynamics, and associations with histological tumour grade, hormone receptor status, genomic alterations, and nodal involvement. Structural CA levels are additionally associated with overall survival, supporting the clinical relevance of spatially resolved CA patterns. Discordant CA profiles at tumour margins are linked to local aggressiveness and stromal remodelling. To support broad adoption and reproducibility, CenSegNet is released as an open-source Python library. Together, our findings establish CenSegNet as a scalable, generalisable platform for spatially resolved centrosome phenotyping in intact tissues, enabling systematic dissection of the biology of this organelle and its dysregulation in cancer and other epithelial diseases.

cell biology↗

A microbial metabolite protects against graft-versus-host disease via mTORC1 and STING-dependent intestinal regeneration

Changes in the intestinal microbiome and microbiota-derived metabolites predict clinical outcomes after allogeneic hematopoietic stem cell transplantation (allo-HSCT). Here, we report that desaminotyrosine (DAT), a product of bacterial flavonoid metabolism, correlates with improved overall survival and reduced relapse rates in allo-HSCT patients. In preclinical mouse models, treatment with synthetic DAT prevents graft-versus-host disease by protecting the intestinal barrier and promoting intestinal regeneration and contributes to graft-vs.-leukemia responses. DATs beneficial effects on intestinal regeneration remain effective despite broad-spectrum antibiotics-induced dysbiosis, also when administered by fecal microbiota transfer with flavonoid-degrading F. plautii. Mechanistically, DAT promotes mTORC1-dependent activation and proliferation of intestinal stem cells, with concomitant engagement of the innate immune receptor STING required to mitigate metabolic stress and maintain an undifferentiated stem cell state independently of type-I interferon responses. Additionally, DAT can skew T cells towards an effector phenotype to modulate graft-versus-leukemia responses. Our data uncover DATs dual, tissue- and immune-modulating properties and underscore its potential in precision microbiome-based therapies to improve tissue regeneration and minimize immune-mediated side effects.

immunology↗

Integration of the hammerhead ribozyme into structured RNAs to measure ligand-binding events for riboswitch candidates and aptamers

Some structured RNAs, such as riboswitches and aptamers, can bind their cognate ligands and have been used in biosensors and gene expression control elements. However, current methods for detecting ligand binding to structured RNAs are either severely limited or inconvenient. In this study, we design a multi-base pair bridge to integrate a hammerhead ribozyme into structured RNAs to detect ligand binding events. The experimental results demonstrate that the length of the bridge has a significant effect on the cleavage of the ribozyme; optimal cleavage can be achieved with three to six base pairs in the bridge. The dissociation constant (KD) values obtained through this method are in agreement with those determined by in-line probing techniques, and 1 pmol of allosteric ribozyme RNA is sufficient for measurement. We apply this method to evaluate the binding affinity of the riboswitch candidate Motif_9307. Our findings indicate that this motif has no binding affinity for S-adenosylmethionine or several other tested ligands, which is consistent with the results of the in-line probing experiments. Notably, our method reveals an increase in cleavage activity when yeast extract is added as a mixture of ligands, suggesting that the ligand of Motif_9307 is present in the extract. In conclusion, we develop an alternative approach for measuring ligand binding events associated with riboswitch candidates and aptamers.

molecular biology↗

An Expanded Registry of Candidate cis-Regulatory Elements for Studying Transcriptional Regulation

Mammalian genomes contain millions of regulatory elements that control the complex patterns of gene expression. Previously, The ENCODE consortium mapped biochemical signals across many cell types and tissues and integrated these data to develop a Registry of 0.9 million human and 300 thousand mouse candidate cis-Regulatory Elements (cCREs) annotated with potential functions1. We have expanded the Registry to include 2.35 million human and 927 thousand mouse cCREs, leveraging new ENCODE datasets and enhanced computational methods. This expanded Registry covers hundreds of unique cell and tissue types, providing a comprehensive understanding of gene regulation. Functional characterization data from assays like STARR-seq, MPRA, CRISPR perturbation, and transgenic mouse assays now cover over 90% of human cCREs, revealing complex regulatory functions. We identified thousands of novel silencer cCREs and demonstrated their dual enhancer/silencer roles in different cellular contexts. Integrating the Registry with other ENCODE annotations facilitates genetic variation interpretation and trait-associated gene identification, exemplified by discovering KLF1 as a novel causal gene for red blood cell traits. This expanded Registry is a valuable resource for studying the regulatory genome and its impact on health and disease.

genomics↗

Tissue-adapted Tregs harness inflammatory signals to promote intestinal repair from therapy-related injury

Intestinal stem cells (ISC) promote tissue repair after genotoxic or immune-mediated injury. However, ISCs are particularly sensitive to various stressors and primary targets of overwhelming immune responses such as interferon-{gamma} (IFN{gamma})-mediated killing. In mouse models of gut damage and biopsies from patients having undergone allo-hematopoietic stem cell transplantation, we observed IFNy expression by intestinal Treg cells. Treg cells leverage combined IFN{gamma} and interleukin 10 (IL-10) stimulation of ISCs to nurture the growth of intestinal organoids through the activation of the mTORC1 and Myc pathways. Similarly, Treg cells or the combined addition of recombinant IFN{gamma} and IL-10 promote the regeneration of organoids after irradiation. Exposure of organoids to Wnt- or EGF-free culture conditions revealed distinct growth factor-like properties of IFN{gamma} and IL-10. While IFN{gamma} induced epithelial proliferation and differentiation, combined addition of IFN{gamma} and IL-10 led to balanced proliferation, ensuring ISC maintenance. Our results uncover a context-dependent role of inflammatory signaling in ISC, through which Treg cells promote epithelial repair.

immunology↗

CRISPR Double Knockout Library Reveals Synthetic Lethal Gene Pairs in Triple-Negative Breast Cancer

Synthetic lethality, a genetic interaction involving two or more genes whose combined loss results in cell death, has emerged as a promising strategy for targeted cancer therapy. By exploiting synthetic lethal interactions, cancer cells can be selectively targeted and eradicated while preserving healthy cells, minimizing off-target effects, and reducing toxicity. The development of PARP inhibitors for ovarian and breast cancer patients with BRCA mutations exemplifies the potential of synthetic lethality-based therapy. Various experimental approaches, including CRISPR/Cas9 screens, have been employed to identify synthetic lethal gene pairs. Our lab has developed a CRISPR double knockout library, leveraging the XDeathDB database for candidate gene selection. This comprehensive platform offers insights into 12 cell death modes and 149 cell death hallmark genes. We aim to construct a cell-death double knock-out library using these genes and perform double knock-out screening on MDA-MB-231, a representative cell line for TNBC chemo poor responders. The identified synergistic lethal gene pairs may serve as potential drug targets for treating TNBC.

cancer biology↗

Identifying Novel Therapeutic Targets for Overcoming TNBC Chemo Resistance Through Comprehensive CRISPR-Cas9 Genome Screening

Triple-negative breast cancer (TNBC) represents 15-20% of cases but disproportionately contributes to 35% of breast cancer deaths. Chemotherapy resistance remains a significant challenge in TNBC treatment. In this study, we identified the MDA-MB-231 cell line as the most representative model for TNBC chemotherapy-poor responders by comparing genomic profiles from TNBC cell lines and patient samples. We performed a genome-wide CRISPR-Cas9 screen and RNAseq analysis in MDA-MB-231 cells to uncover potential synthetic lethal targets for cisplatin/doxorubicin treatment. Our analysis confirmed the involvement of known essential genes in DNA damage repair and regulation of DNA replication pathways, such as BCL2L1, ATM, CDC25B, and NBN, in sensitizing cells to cisplatin/doxorubicin. Additionally, We identified hundreds of previously unrecognized genes and pathways related to DNA repair, G2/M DNA damage checkpoint, AMPK signaling, and mTOR signaling. The observed differences between transcriptomic responses and essential pathways from the CRISPR screen suggest a complex regulatory system in cellular response to DNA damage drugs. By combining various data analysis methods and biological experimental approaches, we have pinpointed several promising genes, such as MCM9 and NEPPS, which could serve as potential drug targets to overcome chemoresistance. Overall, our approach efficiently identified essential genes with potential synthetic lethal interactions with cisplatin/doxorubicin, offering new possibilities for combination therapies in chemo resistant TNBC patients.

cancer biology↗

Simultaneous Identification of Changepoints and Model Parameters in Switching Dynamical Systems

Many complex natural systems undergo shifts in dynamics at particular points in time. Examples include phase transitions in gene expression during the cell cycle, introduced species affecting predator-prey interactions, and disease outbreaks responding to intervention measures. Such changepoints partition timeseries into different dynamical regimes characterized by distinct parameter sets, and inference on both the changepoints and regime-specific dynamical parameters is of primary interest. Conventional approaches to analyzing switching dynamical systems first estimate changepoints, and then estimate dynamical parameters assuming the changepoints are fixed and known. Such two-stage approaches are ad-hoc, can introduce biases in the analysis, and do not fully account for uncertainty. Here, we introduce a rigorous, simulation-based inference framework that simultaneously estimates changepoints and model parameters from noisy data while admitting full uncertainty. We use simulation studies of oscillatory predator-prey dynamics and stochastic gene expression to demonstrate that our method yields accurate estimates of changepoints and model parameters together with appropriate uncertainty bounds. We then apply our approach to a real-world case study of COVID-19 intervention effects, and show that our inferred changepoints aligned closely with the actual dates of intervention implementation. Taken together, these results suggest that our framework will have broad utility in diverse scientific domains.

ecology↗

The ecological relevance of flagellar motility in soil bacterial communities

Flagellar motility is a key bacterial trait as it allows bacteria to navigate their immediate surroundings. Not all bacteria are capable of flagellar motility, and the distribution of this trait, its ecological associations, and the life history strategies of flagellated taxa remain poorly characterized. We developed and validated a genome-based approach to infer the potential for flagellar motility across 12 bacterial phyla (26,192 genomes in total). The capacity for flagellar motility was associated with a higher prevalence of genes for carbohydrate metabolism and higher maximum potential growth rates, suggesting that flagellar motility is more prevalent in resource-rich environments due to the energetic costs associated with this trait. To test this hypothesis, we focused on soil bacterial communities, where flagellar motility is expected to be particularly important given the heterogeneous nature of the soil environment. We applied a method to infer the prevalence of flagellar motility in whole bacterial communities from metagenomic data, and quantified the prevalence of flagellar motility across 4 independent field studies that each captured putative gradients in soil carbon availability (148 metagenomes). As expected, we observed a positive relationship between the prevalence of bacterial flagellar motility and soil carbon availability in each of these datasets. Given that soil carbon availability is often correlated with other factors that could influence the prevalence of flagellar motility, we validated these observations using metagenomic data acquired from a soil incubation experiment where carbon availability was directly manipulated with glucose amendments, confirming that the prevalence of bacterial flagellar motility is consistently associated with soil carbon availability over other potential confounding factors. Flagellar motility is a fundamental phenotypic trait for bacterial adaptation to soil, defining life history strategies primarily associated with resource availability. More generally, this work highlights the value of combining genomic and metagenomic approaches to expand our understanding of microbial phenotypic traits and reveal their general environmental associations.

ecology↗

Unveiling Elevated Spontaneous Mutation Rates in Phyllostachys edulis (Moso Bamboo) through Whole Genome Sequencing (WGS) and Investigating the Impact of Atmospheric and Room Temperature Plasma (ARTP) Induced Mutagenesis

Moso bamboo, recognized for its wide distribution and economic importance, encounters challenges in varietal enhancement due to its protracted sexual reproduction cycle. This study employed whole-genome resequencing to uncover spontaneous mutations in Moso bamboo and investigated mutagenesis using atmospheric and room temperature plasma (ARTP). Through the sequencing results, we identified the population of flowering bamboo as an asexual breeding line. Notably, the flowering Moso bamboo population, exclusively derived from asexual reproduction, exhibited a high spontaneous mutation rate (4.54 x 10-4 to 1.15 x 10-3/bp) during sexual reproduction, considering parental and cross-pollination effects. Genetic disparities between offspring and parents exhibited a bimodal distribution, indicating a substantial cross-pollination rate. ARTP mutagenesis increased structural variations in offspring, while changes in SNPs and INDELs were less pronounced. Sanger sequencing validated a gene subset, providing a foundation for spontaneous mutation rate investigation via whole-genome sequencing. These insights, particularly from mutagenized offspring sequencing, contribute to Moso bamboo breeding strategies. HighlightMoso bamboo breeding revolutionized--high spontaneous mutations in asexually derived flowering population. ARTP mutagenesis boosts structural variations, shaping innovative breeding approaches.

genetics↗