Search bioRxiv⌕ Search

Biology subjects

Chen, W.

Publications and source records attributed to Chen, W..

At least 37 records · Page 2Linked to original sources

Competing calcium sensors orchestrate various patterns of synaptic transmission

Neurotransmission critically depends on both timing and efficacy, enabling neurons to encode information with highly accuracy in millisecond timescales. While synapses often express multiple calcium sensors, such as synaptotagmin-1 (syt1) and synaptotagmin-7 (syt7), the quantitative mechanisms by which these sensors regulate synchronous release (SR) and asynchronous release (AR) remain unresolved. We develop a biophysically detailed stochastic model of a presynaptic bouton that incorporates the distinct calcium-binding kinetics of syt1 and syt7 to dissect their roles in shaping synaptic release. We demonstrate how a rich repertoire of SR and AR patterns is influenced by calcium channel distribution, sensor quantity, the external calcium concentration and buffer properties. Importantly, the interplay between syt1 and syt7-- through their distinct calcium affinities and exocytotic kinetics -- constitutes a core mechanism for neural transmission. These findings establish calcium partitioning as a core mechanism driving the diverse release patterns of syt1 and syt7, accommodating even more complex multi-sensor environments.

neuroscience↗

A patient-centric therapeutic paradigm uncouples prostate cancer suppression from systemic metabolic collapse

The clinical benefits of cancer therapies are often compromised by the tolerable adverse effects that impair systemic organismal health and may evolve into latent life threats. Here, we identified profound abiraterone-induced but androgen-independent metabolic perturbations in prostate cancer patients and developed Lifehug-9892 to balance tumor therapy with systemic metabolic homeostasis. By integrating population cohorts with high-resolution metabolomics, we demonstrate that abiraterone induces profound systemic lipidomic dysregulation, characterized by the massive, pathological accumulation of desmosterol. Abiraterone inhibits but stabilizes DHCR24, leading to a metabolic trap in patients showing elevated levels of both desmosterol and cholesterol. Desmosterol accumulation is highly lipotoxic, potently triggering endothelial cell senescence and necrosis, macrophage foam cell formation, murine atherosclerosis, and hepatic senescence. To mechanistically uncouple and therapeutically rescue this systemic metabolic collapse, Lifehug-9892 was rationally designed to selectively retain on-target CYP17A1 inhibition while completely sparing DHCR24 function. Lifehug-9892 maintains potent tumor-suppressive activity while fully preserving the desmosterol-cholesterol metabolic axis and preventing systemic cardiovascular and hepatic damage. Our study uncovers a critical mechanistic link between drug-induced metabolic dysregulation and organismal health in cancer patients, providing a biochemical framework for developing patient-centric targeted therapies that preserve host homeostasis.

cancer biology↗

mBaoJin-labeled pangolin coronavirus for evaluating population cross-neutralizing antibodies and the entry-inhibitory activity of cepharanthine

Replication-competent coronaviruses carrying fluorescent protein-tagged structural proteins remain scarce. Using the highly attenuated pangolin coronavirus GX_P2V(short_3UTR) as a backbone, we generated GX_P2V-mBJ-N, a recombinant coronavirus in which the bright green fluorescent protein mBaoJin is fused to the nucleocapsid (N) protein. The reporter virus is attenuated and genetically unstable in normal Vero cells but can be amplified to high titers in cells expressing wild-type N, and its fluorescence directly reports N protein expression. Using this authentic-virus platform, we show that high-titer GX_P2V cross-neutralizing antibodies persist in most healthy individuals and that cepharanthine potently blocks viral entry. GX_P2V-mBJ-N thus provides a simple and reliable tool for coronavirus tracing, immune surveillance, and antiviral drug evaluation.

microbiology↗

D-Mannose treats obesity by increasing adipose Treg cells and suppressing gut Firmicutes

Early-life microbiota represent an indispensable factor for the proper development and function of host metabolism and the immune system. We have demonstrated that neonatal exposure to antibiotics for the first 3 weeks (NeoATB) leads to obesity in adulthood, characterized by gut microbiota dysbiosis and dysregulated immune responses. Here, we demonstrate that feeding D-mannose suppresses NeoATB-induced obesity, accompanied by improved glucose tolerance and decreased insulin resistance. Mechanistically, D-mannose feeding decreased hypoxia and increased oxygenation and recovery of metabolic activity of adipocytes. D-mannose restored CD4+Foxp3+ST2+ Tregs, leading to a reduction of Th1 pro-inflammatory cells in the adipose tissue of NeoATB mice. Significantly, we revealed that D-mannose treatment reversed the dysregulated ratios of phylum Firmicutes to phylum Bacteroidetes in obese NeoATB mice, which was surprisingly attributed to D-mannose-mediated suppression of the growth of Firmicutes rather than an increase in the growth of Bacteroidetes. These findings should have therapeutic implications for the treatment of obesity in human patients.

immunology↗

Synaptic input-selective homeostasis safeguards developing cortical neurons toward setpoint activity

Homeostatic plasticity stabilizes brain function by maintaining neuronal activity around a setpoint. Although homeostatic mechanisms are well characterized in mature circuits, it remains unknown how developing neurons, which progress from near silence at birth to sustained activity, establish and safeguard their setpoint activity levels against perturbations. Here we show that activity setpoints are intrinsic properties of neuronal identity actively achieved by cell-autonomous, targeted synaptic remodeling during development. Cortical layer 2/3 pyramidal cells were sparsely silenced from their birth by overexpressing the inward-rectifier potassium channel Kir2.1 to chronically suppress their excitability. These Kir2.1-expressing neurons, however, progressively overcame this perturbation during postnatal development and ultimately reached the activity levels comparable to neighboring control neurons. This recovery was accompanied by enhanced synaptic excitation and reduced inhibition that did not follow the classical global multiplicative synaptic scaling. Instead, excitation from infragranular layers, rather than layer 4 and layer 2/3, was selectively strengthened through increasing quantal amplitudes and unsilencing silent synapses that required the insertion of GluA2-containing AMPA receptors. Inhibition recruited by excitatory inputs was selectively reduced at specific pathways. These results identify a synaptic input-selective homeostatic program enabling cortical neurons to reach activity setpoints, revealing a new mechanism contributing to neurodevelopmental robustness.

neuroscience↗

Destabilization of intratumor Tregs by CTLA-4 engagement confers anti-CTLA-4-driven immunotherapy

Immune checkpoint inhibitors (ICI) that are antibodies against CTLA-4 have achieved therapeutic effects on multiple types of cancers 1-4, but the mechanisms underlying the therapy remain incompletely understood. In contrast to the initial theory that the antibody blockades CTLA-4 on T cells is of central importance, it has recently been demonstrated that selective reduction of CD4+Foxp3+ regulatory T cells (Tregs) in the tumor microenvironment by the antibody plays a key role in the anti-tumor effects5-8, although this phenomenon remains under debate in human patients9-12. We show here that anti-CTLA-4 antibody engages CTLA-4 in Tregs specifically in the tumor tissues to reduce their stability and survival and weaken their suppressive function through upregulating TGF-{beta} signaling. This leads to the antibody-mediated - upregulation of CD4+ and CD8+ effector T cell anti-tumor immunity and consequently cancer immunotherapy. Specifically, anti-CTLA-4 antibody directly stimulates CTLA-4 in intratumor Tregs to enhance their TGF-{beta} receptor I (T{beta}RI)-mediated TGF-{beta} signaling13. This results in reduction of IL-2 receptor CD25 expression and downregulation of lactate metabolism in intratumor Tregs to reduce their stability and survival 14-16, and also compromises their suppressive function by inhibiting Foxp3 expression. This activity requires high levels of CTLA-4 expression in the intratumor Tregs and the presence of antibody Fc receptors in the tumor tissues. Strikingly, deletion of T{beta}RI specifically in Tregs completely prevents the reduction of intratumor Tregs and abrogates the anti-CTLA-4-mediated cancer immunotherapy. In contrast to intratumor Tregs, anti-CTLA-4 antibody treatment blocks CTLA-4 in the intratumor CD4+ Foxp3- and CD8+ T effector cells and in the peripheral Tregs to decrease their T{beta}RI expression and increase their expansion due to their relatively low levels of CTLA-4 in the same tumor bearing mice. Significantly, the engagement of CTLA-4 by anti-human CTLA-4 antibody (ipilimumab) also upregulates TGFBR1 but decreases Il2RA expression and lactate metabolism in human Tregs in vitro and in humanized mice in vivo, leading to suppression of tumor progression. We have provided additional mechanism underlying anti-CTLA-4-mediated anti-tumor effects through destabilizing intratumor Tregs by CTLA-4 engagement-mediated TGF-{beta} signaling. This could lay a theoretical foundation for designing optimal immunotherapy based on anti-CTLA-4 antibody in cancer patients.

immunology↗

A Structural Antibody Benchmark of AlphaFold3 reveals Hallucinated Epitopes and a Bias for Orderness

AlphaFold3 has shown promise as a tool for predicting antibody-antigen binding, yet its performance across large datasets has not been fully characterized. In this study, 3401 experimentally validated antibody-antigen complexes were sourced from the Structural Antibody Database and screened alongside 23798 negative controls to benchmark AlphaFold3s binding prediction capabilities. Confidence metrics including Predicted Aligned Error and Interface Predicted Template Modeling score were used to achieving a maximum recall of 53% at 100 inference seeds. Several factors were found to influence prediction accuracy: a notable bias was observed toward antibodies derived from X-ray crystallography structures versus those from electron microscopy, and positive prediction rates were found to decrease with increasing target protein size and surface area. In contrast, neither the amino acid composition or lengths of the complementarity determining regions, nor training data leakage were found to introduce significant bias. An innate false positive rate of approximately 3% was identified, with AF3 shown to hallucinate plausible binding interfaces across the surface of decoy targets while avoiding disordered regions. Epitope mapping using DockQ, epitope shift, and antibody displacement revealed that approximately 34% of false negatives retained the correct epitope location despite poor structural alignment, suggesting that conformation refinement tools could recover additional true binding predictions. These findings provide a comprehensive characterization of AlphaFold3s strengths and limitations for antibody screening in computational drug discovery. Key MessagesO_LIAlphaFold3 has a recall of 50% and an innate false positive prediction rate of 3%. C_LIO_LIFalse negative predictions can still feature the correct epitope despite poor RMSD. C_LIO_LIFactors such as disorder and target size impact accuracy. C_LI

bioinformatics↗

SemVac: A Semantic Vaccinology Paradigm Powered by LLMs for Antigen Discovery

Reverse vaccinology identifies vaccine antigens from pathogen genomes, yet existing methods rely mainly on sequence and structure and overlook the functional and immunological knowledge recorded in the published literature. We introduce semantic vaccinology, a paradigm in which large language models (LLMs) reason over literature-derived protein descriptions to predict protective antigens. Implemented as SemVac, the workflow retrieves publications linked to each protein through PaperBLAST, condenses the evidence into a structured semantic profile, and prompts an LLM to return an antigenicity probability. Benchmarked against a curated 246-protein bacterial benchmark and the specialized protein-language and geometric-deep-learning predictor PLGDL, the best of 14 general-purpose LLMs matched or exceeded the precision of PLGDL; the open-weight Kimi K2 0905 offered the strongest performance-cost balance. Predictions were robust to masking of vaccine keywords, reproducible across repeated inference, and generalized to a 1,200-protein cross-pathogen dataset. Surprisingly, explicit chain-of-thought reasoning increased recall but lowered precision in every model tested, revealing over-reasoning in biological scoring. Applied to the mpox virus proteome, SemVac recovered the established mpox antigen repertoire and prioritized uncharacterized candidates. Two of these, A30L and C19L, received independent experimental support in recent orthopoxvirus vaccine development, providing external validation. For one candidate, B20R, the model generated a coherent but false TNF-decoy narrative unsupported by curated annotations, demonstrating that LLM confabulation can be detected when reasoning traces are cross-checked against curated resources. Semantic vaccinology therefore establishes the literature as an explicit, auditable third modality alongside sequence and structure, while making its failure modes transparent and correctable.

immunology↗

DNA-Programmed Condensate-Membrane Wetting and Cellular Internalization

Deformable condensates offer dynamic interfaces for biomolecule delivery, yet membrane adhesion does not necessarily lead to cellular internalization. The physical transition that determines whether a membrane-bound soft material remains surface-anchored or proceeds through wetting towards productive uptake remains poorly understood, particularly at active living-cell membranes. Here, we engineer sequence-defined DNA condensates through liquid-liquid phase separation (LLPS) and program their interfacial behavior by tuning sticky-end valency and cholesterol organization. These molecular designs precisely regulate condensate fluidity, fusion dynamics and internal organization, generating distinct states of weak contact, persistent anchoring and rapid wetting. Increasing cholesterol-mediated affinity does not enhance uptake. Instead, productive internalization emerges from a balance between membrane adhesion and condensate fluidity and deformability. Native membrane composition further modulates condensate interfacial fate across mammalian cells and plant protoplasts. DNA condensates enrich and deliver CpG ODNs, mRNA ([~]2000 nt) and proteins, while cargo loading experiments reveal that preserving condensate architecture is essential for functional delivery. Our findings identify wetting competence as a design parameter for controlling soft material engagement and cellular entry.

biophysics↗

Barcode-integrated reverse transcription for accurate, complete, and low-input RNA sequencing

In conventional total-RNA sequencing, unwanted RNA is removed by ribosomal-RNA depletion or messenger-RNA enrichment, and contaminating genomic DNA is cleared by DNase, both before reverse transcription. A sample index is added only later, during amplification, so each sample is carried through reverse transcription and cleanup on its own. These steps lose material that low-input samples cannot spare, and the per-sample handling limits throughput. Here we describe BIRT (Barcode-Integrated Reverse Transcription), a hairpin primer that carries a sample barcode and begins reverse transcription preferentially at RNA 3' ends, folding both barcoding and 3'-end capture into first-strand synthesis. Barcoding at reverse transcription enables early pooling, so samples are combined before any cleanup. It also authenticates RNA against DNA contamination: the primer barcodes RNA 909-fold more often than genomic DNA, and non-barcoded reads, which report DNA, are discarded. The 3'-end preference recovers terminal sequence that random priming loses: for a typical small nucleolar RNA, 66% of reads begin within two nucleotides of the mature 3' end, against a few percent for random hexamers. We pair BIRT with PERD (Probes for Excess RNA Depletion), a modular set of blocking probes that removes unwanted RNA within the same reaction without distorting expression (Pearson r = 0.98). We have applied BIRT to 8,079 samples across seven species, from cultured cells and primary tissue to FFPE and extracellular-vesicle RNA.

molecular biology↗

Glutamine Metabolism Supports α cell Mass and Glucagon Secretion

The liver- cell axis is a finely tuned biological rheostat that regulates whole body amino acid availability. Pancreatic cells secrete glucagon that regulates amino acid catabolism through gluconeogenesis and ureagenesis, yet the mechanisms linking amino acid levels to cell growth and function are not fully understood. Here, we identify glutaminase, the enzyme that catalyzes glutamine catabolism, as a critical cell regulator. Glutaminase is highly enriched in cells across species. cell expression of glutaminase is required for nutrient-dependent mTORC1 activation, suppression of AMPK signaling, and sustained expression of the glutamine transporter SLC38A5. This establishes a feed-forward loop linking glutamine metabolism to amino acid sensing and growth. Reduced glutaminase activity impairs dynamic glucagon secretion in response to low glucose and amino acids. Together, these findings highlight the importance of glutamine metabolism in cell growth and hormone secretion and suggest it may play a role in cell adaptation to hyperaminoacidemia.

physiology↗

AlfaDAX-Derived ActRIIA/B Antibody with Semaglutide Enhances Fat Loss and Improves Weight-Loss Quality in DIO Mice

GLP-1 receptor agonists achieve weight loss but are associated with clinically significant reductions in lean mass. Activin type II receptors (ActRIIA and ActRIIB) mediate signaling of myostatin and activin A, both of which negatively regulate muscle growth, suggesting that dual blockade of these receptors may preserve or increase lean mass while promoting fat loss. In this study, we developed anti-ActRIIA/B antibodies using AI-driven platforms (AlfaDAX) and selected the lead candidate AB130-165 based on in vitro binding, functional blocking, and developability assessments. Compared with a laboratory-prepared bimagrumab analog, AB130-165 exhibited potent dual inhibition of ActRIIA/B signaling, with a 9.5-fold higher functional blocking activity against activin A-induced SMAD signaling and 1054-fold improvements in binding affinity for ActRIIA (KD = 0.204 pM), 10-fold for ActRIIB (KD = 0.243 pM), respectively. In diet-induced obese mice, combination therapy with AB130-165 and semaglutide resulted in a 33.4% body weight reduction, which was superior to semaglutide monotherapy (-24.3%) and the bimagrumab combination group (-25.5%). Moreover, the combination significantly improved body composition, reducing fat mass percentage by 77.8% (vs. 65.0% in the bimagrumab combination group) and increasing the lean-to-body weight ratio to 67.3% (vs. 62.3%), demonstrating superior fat loss with better preservation of lean mass. Collectively, these findings establish AB130-165 as a differentiated anti-ActRII antibody that enables high-quality weight loss, and its combination with semaglutide shows superior efficacy over bimagrumab-based regimens. With favorable developability and potential for long-acting subcutaneous administration, AB130-165 represents a promising next-generation therapeutic candidate for obesity and muscle-sparing weight management.

pharmacology and toxicology↗

De novo design of selective kinase modulators

Protein kinases are critical regulators of cellular signaling, but precise modulation of their activity remains challenging due to their high structural conservation. Here, we present de novo designed genetically encoded miniproteins capable of activating or inhibiting focal adhesion kinase (FAK) by directly targeting the kinase domain itself. Among 96 binders designed to stabilize distinct conformational states of FAK, 33 modulated kinase activity. Biochemical characterization of the four most potent modulators revealed that two designs inhibit FAK with low-nanomolar IC50 values while the remaining two potentiated FAK activity by more than two-fold. When expressed in cells, the modulators preserved the same inhibitory and activating effects observed in vitro, establishing that designed conformational binders can directly tune FAK signaling in living cells. Taking advantage of the high similarity between kinases, we redesigned the FAK inhibitors to inhibit Src kinase. Our approach establishes a versatile platform for selective and genetically encoded kinase control as a way to rewire cell signaling and as a starting point for the discovery of novel modulatory sites of kinases.

biochemistry↗

Assessment of homing gene drive efficiency using multiplexed sgRNAs targeting doublesex in the global crop pest Drosophila suzukii

Drosophila suzukii (Matsumura, 1931, Diptera: Drosophilidae) is a globally invasive pest of soft-skinned fruits that is currently controlled largely through the use of broad-spectrum insecticides. Increasing resistance to insecticides and regulatory pressures have motivated the development of genetic control strategies. We previously developed a CRISPR/Cas9-based homing gene drive targeting the coding sequence of the female-specific exon of the sex-determination gene doublesex, achieving highly efficient inheritance (94-99%) in both male and female germlines. A major limitation of homing gene drives is the formation of resistant alleles that evade cleavage yet retain gene function. Multiplexing guide RNAs (gRNAs) could reduce the formation of such functional resistance alleles. Here, we generated and tested homing constructs expressing one, two, or three gRNAs targeting different regions of the female-specific exon of doublesex, including the intron-exon splice junction. A single gRNA targeting the splice junction supported high inheritance in males but showed reduced efficiency in females. Combining this gRNA with a coding sequence-targeting guide further reduced drive efficiency, particularly in the female germline. Constructs expressing two gRNAs performed similarly whether guides were linked by transfer RNA (tRNA) sequences or expressed from independent promoters. Constructs expressing three gRNAs using tRNA processing showed consistently low drive inheritance in both sexes and low frequencies of target-site modification among non-drive progeny, consistent with reduced cleavage activity. Inheritance was significantly higher in male than female germlines for several constructs, indicating that germline context strongly influences drive performance. Our findings show that the strategy used for multi-gRNA expression, target site choice and sex-specific germline environments can influence gene drive efficiency, emphasizing the need to optimize construct design in the target species. Author SummarySpotted wing drosophila (Drosophila suzukii) is an invasive pest that damages soft skinned fruits such as berries and cherries. Control currently relies heavily on insecticides, but resistance and regulatory concerns are increasing the need for alternative approaches. We are developing genetic strategies for suppression of pest populations. We previously developed a gene editing system targeting a female-essential gene that showed very high biased inheritance (gene drive). However, a key challenge is that the system can sometimes create resistant individuals that are unaffected. One possible solution is to use using multiple gRNAs--molecules that direct gene editing to specific DNA sequences--to reduce the formation of these resistant individuals. In this study we found that using more than one gRNA reduced the efficiency of inheritance, especially in females. However, activity could be influenced by exactly where the DNA is targeted and how the guide RNAs are expressed. These results show that gene drive performance depends strongly on biological context and design choices, and that strategies must be carefully optimized in the target species.

genetics↗

Biogenesis and antigen presentation properties of dendritic cell-derived apoptotic bodies

Dendritic cells (DCs) are an important type of antigen presentation cell that regulate immunity by initiating antigen-specific immunity and tolerance through T cell activation. The interaction between DCs and T cells can be mediated through direct cell-cell contact or via the release of extracellular vesicles (EVs) from DCs that harbour antigen presentation machineries. Although small EVs (<200 nm in diameter) such as exosomes released by DCs have been shown to regulate immunity, whether other EV subtypes, in particular those that are released by dying DCs due to homeostatic turnover or following infection, can modulate immune responses is not defined. In this study, we demonstrated that DCs undergoing apoptosis can generate a subclass of large EVs ([~]1,000-5,000 nm in diameter) known as apoptotic bodies (ApoBDs) via distinct morphological steps. Mechanistically, ApoBD formation by apoptotic DCs is regulated by Rho-associated kinase 1 and T-type calcium channels. Functionally, DC-derived ApoBDs were found to mediate direct antigen presentation. These data demonstrate a novel function of ApoBDs and highlight the ability of apoptotic materials derived from dying DCs to continue mediating intercellular communication and regulating immune responses.

cell biology↗

Lineage-Specific Neofunctionalization of Polyacetylene-Directing UGT76 Glycosyltransferases in Campanulaceae

Polyacetylene glycosides exhibit notable pharmacological activities, yet the glycosyltransferases acting on their polyacetylene scaffolds remain unknown. Here we report a telomere-to-telomere genome assembly of Codonopsis pilosula and, guided by spatial metabolomics, characterize three UDP-glycosyltransferases: CpUGT76BG1 and CpUGT76BG2 catalyze the direct glycosylation of lobetyol to lobetyolin, while CpUGT94BY2 performs subsequent sugar-sugar coupling to produce lobetyolinin, with each activity confirmed by in planta overexpression. Structural modeling reveals that CpUGT76BG1 and CpUGT76BG2 employ a deep hydrophobic tunnel to fully encase the linear polyacetylene chain, a binding architecture distinct from the shallow pockets used by canonical plant UGTs for planar aromatic substrates. Ancestral sequence reconstruction across eleven nodes partitions the UGT76 lineage into three functionally distinct evolutionary stages, tracing the trajectory from an ancestral shallow pocket to this specialized deep architecture. These findings establish the key glycosylation steps of polyacetylene glycoside biosynthesis, define a tunnel-based paradigm for non-planar substrate recognition, and reveal how tandem duplication-driven active site remodeling generates metabolic novelty.

evolutionary biology↗

Integrative Proteomic Analysis Implicates Inhibition of Intracellular Protein Trafficking in Therapy-Induced Migrastasis in Prostate Cancer

BackgroundDysregulated cell migration leading to metastasis remains the primary cause of cancer-related mortality. It has been challenging to understand how cells regulate migration. We have previously created the first selective inhibitor of cell migration, KBU2046. Here, we use it as a probe to identify regulatory processes. MethodsMetastatic and primary human prostate cancer cells were treated for different times and at different concentrations with KBU2046. Immunofluorescent microscopy examined protein localization in cells. Label-free mass spectrometry (MS) was performed on total cell proteins, Tandem Mass Tag (TMT) labeling MS was used on membrane fractions, and temporal phosphoproteomic profiling. Results were analyzed with a suite of bioinformatic tools. ResultsKBU2046-induced migrastasis is associated with the accumulation of activated integrin {beta}1 into focal adhesions. Whole-cell proteomics demonstrated suppression of processes that mediate intracellular protein trafficking and increases in mitochondrial energy-generation signatures. Evaluation of the membrane fraction identified increases in membrane repair and maintenance processes and decreases in those that drive motility. Temporal- and concentration-dependent phosphoproteomic profiling revealed that KBU2046 initiates a dynamic, cascading sequence of transient signaling waves rather than a static block. ConclusionsKBU2046-induced migrastasis appears to operate through spatial decoupling rather than structural degradation. By restricting the intracellular trafficking machinery required for receptor recycling, KBU2046 limits focal adhesion turnover, providing a correlative framework to inhibit metastatic dissemination independent of direct cytotoxicity. O_FIG O_LINKSMALLFIG WIDTH=122 HEIGHT=200 SRC="FIGDIR/small/736165v1_ufig1.gif" ALT="Figure 1"> View larger version (39K): org.highwire.dtl.DTLVardef@1efd74dorg.highwire.dtl.DTLVardef@1202106org.highwire.dtl.DTLVardef@581ed3org.highwire.dtl.DTLVardef@14fdcfb_HPS_FORMAT_FIGEXP M_FIG Graphic Abstract C_FIG

cancer biology↗

Conserved Genic Composition Unravels Rapid Karyotype Evolution and Polyploidization across Plants

Chromosomal variation underlies species evolution, but reconstructing its large-scale dynamics remains challenging, obscuring its adaptive significance. Here, we introduce GouMang, a framework that mines conserved genic section compositions across diverse species to trace karyotype evolution. In grasses, applied to 818 highly varied chromosomes spanning eight subfamilies, GouMang resolved a shared karyotype evolution path of 9 [->] 18 ({rho} whole-genome duplication, {rho}WGD) [->] 12 chromosomes, followed by lineage-specific rearrangements or WGDs. Genes retained from the early {rho}WGD are linked to cold/light adaptation, supporting a key biomass-expansion event that impacted subsequent global ecological pattern and human agricultural civilization, in which K-Pg global cooling and subsequent forest degradation drove early understory grasses to sun plants. Parallel analysis in Brassicaceae reconstructed karyotype evolution as well as {beta}WGD which unlinked to cold/light adaptation, reflecting a divergent biogeographic history compared to grasses. Together, GouMang depicts a widespread plant evolutionary pattern where karyotype constantly diversified with WGDs recurrently fueling adaptation.

evolutionary biology↗