Biology subjects

Park, J. S.

Publications and source records attributed to Park, J. S..

At least 19 recordsLinked to original sources

bioRxiv2026

Lymphangiogenesis is Critical for Healing and Survival in a Murine Model of Laryngotracheal Injury

Objective: Lymphatic dysfunction has been implicated in exacerbating fibrosis in numerous diseases, yet the role of the lymphatic system in laryngotracheal injury has not previously been explored. This study aims to evaluate lymphatic vascular remodeling in a murine model of laryngotracheal stenosis (LTS) and determine how pharmacologic blockade of lymphangiogenesis impacts airway healing after mucosal injury. Methods: LTS was induced in C57BL6 mice using an established chemomechanical injury model. Lymphatic density was quantified using LYVE-1 immunohistochemistry. Mice were treated with the VEGFR-3-selective tyrosine kinase inhibitor SAR131675 to block lymphangiogenesis after injury. Outcomes assessed included survival, histopathology, immunohistochemistry, and Evans blue dye vascular leakage. Results: Laryngotracheal injury induced a substantial increase in subepithelial lymphatic vessel density concomitant with fibrotic remodeling. Pharmacologic inhibition of VEGFR-3 signaling with SAR131675 abrogated this lymphangiogenic response and resulted in markedly increased mortality, impaired epithelial repair with obstructive sloughing, increased edema, and persistent histopathologic evidence of tissue injury. A qualitative increase in pathologic fibrocellular remodeling was also observed, though with no measurable difference in lamina propria thickness. Conclusion: These findings establish lymphatic remodeling as an essential component of successful airway repair following mucosal injury. Lymphatic dysfunction is a common feature of known risk factors for LTS including diabetes, obesity, and prematurity, and can be exacerbated by positive pressure ventilation. Disruption of the lymphangiogenic response to airway injury may lead to stasis of pro-inflammatory factors that result in chronic inflammation, maladaptive remodeling, and pathologic tissue changes. The lymphatic vasculature is a viable target for future mechanistic study and potential therapeutic intervention following airway injury.

physiology↗

bioRxiv2026

Intrauterine growth restriction is associated with adaptive hematopoietic reprogramming and selective immune rewiring in monozygotic twins

BackgroundPrenatal growth restriction has been associated with adverse neonatal and long- term health outcomes, yet the epigenetic mechanisms by which an adverse intrauterine environment shapes fetal immune development remain incompletely understood. Monozygotic dichorionic-diamniotic twins with selective fetal growth restriction (sFGR) provide a unique human model for investigating environmentally driven developmental programming independent of genetic variation and inter-twin placental vascular anastomoses. MethodsUmbilical cord blood buffy coat samples were collected from three sFGR and two gestational age-matched concordant control twin pairs. Bulk RNA sequencing and genome-wide DNA methylation analysis were performed, followed by differential expression, pathway enrichment, hematopoietic and immune module analyses, differential methylation, and integrative transcriptomic-epigenomic analyses. ResultsCompared with concordant control twin pairs, discordant twins exhibited broad attenuation of immune and inflammatory transcriptional programs alongside enrichment of erythroid- and hypoxia-related pathways, consistent with adaptive hematopoietic responses to intrauterine stress. Within discordant twin pairs, the growth-restricted co-twins displayed marked transcriptional asymmetry characterized by selective enrichment of cytotoxic lymphoid signatures despite global suppression of myeloid and antigen-presenting cell-associated programs. Integrated transcriptomic and epigenomic analyses further revealed coordinated epigenetic remodeling, with hypomethylated regions in growth-restricted twins enriched for immune regulatory pathways, including T cell differentiation and leukocyte activation. At selected loci, concordant hypomethylation and increased gene expression suggested a potential epigenetic basis for the observed immune remodeling. ConclusionsThese findings suggest that intrauterine growth restriction is associated with coordinated hematopoietic and immune reprogramming at birth, consistent with both compositional and cell-intrinsic alterations. In genetically identical twins, relative growth divergence was associated with polarized transcriptional states, highlighting how intrauterine environmental differences may shape early immune development independent of genetic background.

genomics↗

bioRxiv2026

A common connectome-based neural reference space across affective, autonomic, and wakefulness arousal

Arousal is often invoked to explain state-dependent variability in attention, emotion, memory, and decision-making. However, the term is used inconsistently, referring variously to affective experience, autonomic activation, and states of wakefulness. The extent to which different operationalizations of arousal reflect a shared neurobiological basis remains unclear, limiting efforts to unify findings across studies. We applied dynamic connectome predictive models to five fMRI datasets spanning naturalistic movie watching, story listening, wakeful rest, and sleep. We derived measures of affective, autonomic, and wakefulness arousal from subjective ratings, pupil dilation, and EEG, respectively. Models trained to predict arousal in one dataset generalized across datasets, indicating that dynamic connectivity captures shared arousal-related dynamics across measures and task contexts. The models also predicted manually scored sleep stages, suggesting that they capture arousal dynamics that extend to the graded fluctuations in arousal during sleep. Decoded arousal dynamics during movie-viewing predicted how well participants later recalled movie events, reproducing classic arousal-dependent memory enhancement effects. Model predictions were supported by overlapping functional connections, including a subset shared across all models. The largest proportion of shared connections was between the salience and somatomotor networks, suggesting that increased coordination between salience detection and action readiness may be a common feature across multiple operationalizations of arousal. Together, these results are consistent with a connectome-based neural reference space for arousal, in which different varieties share a core set of predictive connections. Our findings offer a quantitative framework for integrating arousal-related findings across tasks and modalities.

neuroscience↗

bioRxiv2026

Fungal community composition links rhizosphere microbiome organization to plant phenotype in response to moderate warming

BackgroundGlobal warming increasingly challenges plant performance and ecosystem function, and plant responses to elevated temperature are shaped not only by intrinsic plasticity, but also by interactions with rhizosphere microbial communities. However, it remains unclear how warming-induced microbiome reorganization relates to plant performance, whether microbiome community composition predicts plant phenotypic responses to elevated temperature better than simple host-microbiome origin matching, and which bacterial or fungal community features contribute most strongly to this prediction. ResultsWe implemented a full factorial design manipulating plant genotype (P), microbial inoculum (M), and temperature (T) using natural Arabidopsis thaliana ecotypes and their corresponding rhizosphere microbiomes from contrasting climatic regions. By integrating high-throughput plant phenotyping, microbial community profiling, microbiome-phenotype coupling analyses, and predictive modeling, we found that elevated temperature induced a coherent thermomorphogenic shift in plant architecture, while plant phenotypic variation remained determined primarily by genotype over the 14-day vegetative growth period covered in this study. Overall, cold-origin genotypes showed larger temperature-induced trait shifts than warm-origin genotypes. Rhizosphere microbial communities were structured predominantly by inoculum origin, but were also affected by warming. Evidence for a increased thermomorphogenic growth when genotypes were combined with inoculum from their home site was limited. Instead, microbiome-phenotype associations were better captured by community composition than by matching status, with fungal community variation showing stronger and more consistent associations with plant phenotype than bacterial variation and providing more robust predictions of plant phenotypes across models. ConclusionsWarming reorganized plant-rhizosphere systems within persistent host- and inoculum-associated baselines. Plant phenotypic variation during vegetative development under elevated temperature was linked more closely to microbiome composition, especially in fungi, than to simple host-microbiome matching of origins. These findings provide a framework for identifying microbiome features associated with plant performance under climate warming.

plant biology↗

bioRxiv2026

Multidimensional MRI reveals cellular-scale microstructural phenotypes in human brain aging

Brain aging is accompanied by profound cellular and microstructural changes that precede overt tissue loss, yet in vivo MRI studies largely emphasize macroscopic measures or isolated diffusion and relaxation metrics, providing limited insight into how cellular-scale tissue architecture is altered across the adult lifespan. Here, we apply multidimensional diffusion-relaxation MRI (MD-MRI) to map voxel-wise microstructural phenotypes in cognitively unimpaired adults spanning early adulthood to late life (23-77 years). Rather than relying on predefined compartment models, MD-MRI resolves continuous voxel-wise distributions in a joint diffusion-relaxation space, enabling an integrated, model-free description of how cellular shape, size, restriction, and chemical environment vary with age. Using this approach, we reveal age-related multilateral shifts within a complex microstructural landscape, marked by increasing heterogeneity and disorder across brain tissue. With age, cellular-scale features showed a systematic transition from small to larger length-scale structures accompanied by reduced microscopic restriction, indicating a loss of fine cellular barriers and expansion of extracellular space. In parallel, we show tissue-dependent alterations in fast-relaxing properties aligned with known gray- and white-matter aging processes, including iron accumulation and myelin loss. Together, these findings indicate that normative brain aging involves progressive reorganization of structure and composition at the cellular level, rather than uniform shifts in bulk tissue properties. By decoupling cellular-scale shape, size, restriction, and chemical environment in vivo, MD-MRI identifies increasing cellular heterogeneity and breakdown of microscopic restriction as central features of human brain aging and provides a biologically interpretable framework for linking microstructural reorganization to age-related functional decline.

neuroscience↗

bioRxiv2026

Lipid metabolic suppression accompanies an immunometabolic signature in the spinal cord during chronic neuropathic pain.

Peripheral nerve injury-induced persistent pain hypersensitivity cannot be fully explained by increased neuronal excitability alone. Rather, it is increasingly recognized as a pathological tissue state characterized by sustained glial activation, immune signaling, and synaptic remodeling within the spinal cord. In this context, metabolic remodeling of the spinal cord has emerged as a potentially important feature of neuropathic pain. However, the metabolic patterns associated with this state, and their relationship to underlying molecular programs, remain incompletely defined. Here, we performed GC-MS-based untargeted metabolomic profiling of the spinal cord dorsal horn on day 7 after spinal nerve transection (SNT). To provide orthogonal validation, we integrated pathway-analysis results from four independent spinal cord RNA-sequencing datasets derived from distinct neuropathic pain models and further conducted qPCR-based validation. Metabolic profiling revealed a clear separation between SNT and sham samples, marked by broad depletion of the free fatty acid pool and features consistent with an immunometabolic shift. Consistently, analyses across RNA-sequencing datasets and qPCR validation demonstrated upregulation of immune and inflammatory programs, together with downregulation of fatty acid metabolism and cholesterol homeostasis. Collectively, these findings suggest that persistent neuropathic pain should be interpreted not simply as a consequence of neuronal and immune signaling, but also through the metabolic tissue environment that supports and sustains this pathological state.

neuroscience↗

bioRxiv2026

Trait anxiety is associated with idiosyncratic neural event boundaries during naturalistic movie-watching

Anxiety is associated with altered patterns of attention to images and objects, but how it influences the perception of continuous experiences remains underexplored. Here, we examined whether trait anxiety is associated with differences in how the brain segments continuous experience into events. Using a large-scale open-access dataset and data-driven methods to detect neural event boundaries, we compared neural event segmentation between healthy adults with high (N=60) and low trait-level anxiety (N=60) as they viewed a short suspenseful film. While the cortical temporal hierarchy was preserved across groups, high-anxiety individuals had more idiosyncratic event boundaries, exhibiting reduced alignment to both low-anxiety individuals and one another. This divergence was most pronounced in the dorsal attention and frontoparietal control networks, suggesting that trait anxiety is associated with idiosyncratic temporal organization in systems involved in attentional control. Furthermore, boundary variability in high-anxiety participants was greater during moments rated as more anxiety-provoking by a large language model, controlling for arousal, valence, and low-level visual features. Together, these findings suggest that anxious individuals organize continuous experience in a more individualized manner. More broadly, they offer a neurocomputational framework for investigating how trait-level variability interacts with narrative content to shape naturalistic event perception.

neuroscience↗

bioRxiv2025

Specialized gas-exchange endothelium of the zebrafish gill

The pulmonary vasculature plays a critical role in gas exchange and in lung pathologies, but it is challenging to observe and experimentally manipulate deep within the lungs of living mammals. Unlike mammalian lungs, externally located zebrafish gills are readily accessible for high-resolution optical imaging and experimental manipulation, suggesting zebrafish might provide an excellent comparative vertebrate model for studying the development and function of gas-exchange organs and the gas-exchange blood vasculature. To characterize their resident cell populations, we performed single-cell RNA sequencing (scRNAseq) on adult zebrafish gills, revealing numerous cell types with transcriptional similarities to those found in mammalian lungs. We uncovered and characterized several different endothelial cell populations, including distinct clusters of arterial endothelial cells and lymphatic endothelial cells. The largest endothelial cell cluster closely resembles Cap2 or "Aerocyte" endothelial cells, a recently discovered unusual mammalian endothelial cell type found exclusively in lung alveoli. Zebrafish aerocytes localize to the analogous gas-exchange structures in fish, the highly vascularized gill lamellae. We use confocal and super-resolution imaging of transgenic and hybridization chain reaction-probed zebrafish, array tomography, and focused ion beam scanning electron microscopy to carry out a detailed and comprehensive characterization of gill aerocytes including 3-D ultrastructural reconstruction of one of these cells, showing that as in mammals these cells are closely associated with gas-exchange epithelia and that they possess unique properties that may help facilitate their gas-exchange function. Together, our findings help establish a new, experimentally accessible comparative vertebrate model for studying the gas-exchange blood vasculature.

developmental biology↗

bioRxiv2025

Primary Cilia Dysfunction in Brown Fat Results in Fatal Thermogenesis Failure in Neonatal Mice

Primary cilium, microtubule-based sensory organelle that has emerged as a central player in coordinating numerous signaling pathways. Although primary cilia are known to regulate cellular signaling and energy metabolism, the relationship between these roles in the context of ciliopathies and brown adipose tissue (BAT) dysfunction remains poorly understood. To elucidate the role of primary cilia in BAT, we generated Ucp1-Cre;Ift88flox/flox mice with BAT-specific ciliary loss. There were no significant differences in body size, weight, or BAT weight relative to body weight between P0 Ucp1-Cre;Ift88flox/flox and P0 Ucp1-Cre;Ift88+/+ pups. Embryos examined at E14.5 and E18.5 also showed no discernible differences in size, morphology, or histology. However, P0 Ucp1-Cre;Ift88flox/flox pups exhibited neonatal lethality caused by defective thermogenesis, despite preserved Ucp1 expression. These mice displayed markedly reduced ketone body levels in both BAT and serum, accompanied by downregulation of Hmgcs2, a key enzyme in ketogenesis. Loss of primary cilia in BAT suppressed ketogenesis and increased ROS production through HMGCS2 downregulation, ultimately impairing non-shivering thermogenesis. Remarkably, neonatal lethality of Ucp1-Cre;Ift88flox/flox pups was completely rescued by thermoneutral housing or {beta}-hydroxybutyrate supplementation. Our findings identified a previously unrecognized mechanism by which primary cilia regulate non-shivering, UCP1-independent thermogenesis via ketogenesis.

cell biology↗

bioRxiv2025

Reverse target screening identifies putative L-AAA targets in astrocyte-selective toxicity

L--aminoadipic acid (L-AAA) is widely used to ablate astrocytes, yet the molecular basis of its cell-type selectivity remains unclear. We combined structure-based reverse screening with an enantiomeric control D--aminoadipic acid (D-AAA), network propagation on a signed, directed interactome, and cell-type-resolved transcriptomics to nominate mechanistic targets of L-AAA. Two independent AlphaFold-enabled screens converged on a small set of proteins; integrating apoptosis connectivity and astrocyte enrichment prioritized pyruvate carboxylase (PC). Docking placed L-AAA in the pyruvate/acetyl-CoA pocket of PC and supported stereoselective engagement over D-AAA. These results motivate a testable model in which L-AAA limits PC-driven anaplerosis in astrocytes, constraining oxaloacetate/aspartate supply and redox buffering to lower the threshold for apoptosis. The workflow generalizes to polar metabolites that evade standard chemoproteomics and reframes how L-AAA-based astrocyte ablation should be interpreted. SignificanceL--aminoadipic acid is a staple tool for selective astrocyte ablation, but its molecular effectors have remained elusive. By unifying AlphaFold-enabled reverse screening with network-level apoptosis inference and single-cell expression filters, we nominate pyruvate carboxylase as a plausible mediator of L-AAA toxicity. The resulting metabolism-centric mechanism--partial inhibition of glial anaplerosis that depletes aspartate and erodes NADPH-glutathione buffering--offers concrete, falsifiable predictions and clarifies how L-AAA should be interpreted in vivo and in vitro. Our pipeline is broadly applicable to small, highly polar metabolites that are challenging to profile by conventional target-deconvolution approaches.

biochemistry↗

bioRxiv2025

ETV4 restrains the formation of CD74+ cytotoxic exhausted CD8+ T cells

Exhausted CD8+ T (Tex) cells comprise heterogeneous subsets with varying cytotoxic and dysfunctional properties, making inhibitory receptor profiles unreliable indicators of function. Therefore, it is essential to define transcriptional regulators or markers that accurately reflect these states. Here, we identified ETS variant 4 (ETV4) as a transcription factor that restricts cytotoxic Tex differentiation within tumors. ETV4 deficiency promotes the emergence of a CD74+ cytotoxic Tex subset while preserving the progenitor Tex (Tpex) pool. CD74 serves as both a marker and regulator, reinforcing Tpex features and enhancing Tex cytotoxicity. Mechanistically, ETV4 loss derepresses T-bet expression, thereby increasing IFN{gamma} production that induces CD74 expression in a paracrine manner. Single-cell analyses across human cancers revealed that CD74+ Tex cells are enriched for proliferative and metabolic programs and correlate with improved survival. Collectively, we establish the ETV4-CD74 axis as a regulator of Tex fate and promising therapeutic target to augment anti-tumor immunity.

immunology↗

bioRxiv2025

Development of antibody-drug conjugates targeting L1CAM to treat metastatic cancer

Effective treatment for metastatic cancer has remained elusive due to the persistence of drug-resistant metastasis stem cells (MetSCs) that drive relapse. MetSCs are tumor cell subpopulations enriched for their ability to reinitiate and sustain metastatic growth, displaying phenotypic plasticity and resistance to chemotherapy. These cells express the L1 cell adhesion molecule (L1CAM), a transmembrane protein detected in numerous human solid tumor types and at multiple disseminated organ sites. As a selective surface marker of MetSCs, L1CAM is a promising candidate for molecularly targeted drugs aimed at eliminating metastases, yet strategies to date have not achieved clinical success. Here, we develop antibody-drug conjugates to deliver highly toxic PNU-159682 payloads to L1CAM-expressing cells. We report the generation of monoclonal antibodies (mAb) with high binding affinity, specificity and selectivity for the human L1CAM extracellular domain. Optimized L1CAM-targeting mAbs were conjugated to PNU-159682 to generate ADC variants with both cleavable and non-cleavable linkers, with an average drug-antibody-ratio (DAR) of four. ADCs derived from three antibodies targeting various epitopes of the L1CAM extracellular portion potently killed cells exhibiting varying levels of surface L1CAM expression. L1CAM ADCs given as monotherapy resulted in robust tumor control and extended survival in mice harboring subcutaneous L1CAM+ xenografts or L1CAM+ lung metastases from triple-negative basal breast cancer and lung adenocarcinoma. Safety analyses with mouse cross-reactive antibodies indicate a feasible therapeutic window. Our findings offer strong proof-of-concept to support the preclinical development of these novel L1CAM ADCs as therapeutic agents for advanced solid tumors.

cancer biology↗

bioRxiv2025

Machine learning-driven decoding of maternal immune signatures in repeated pregnancy loss

BackgroundRepeated pregnancy loss (RPL) is a multifactorial condition in which the underlying immunological mechanisms remain incompletely understood. Although immune tolerance at the maternal-fetal interface is critical for successful pregnancy, the immune disruptions that contribute to RPL, independent of fetal aneuploidy, remain poorly characterized. MethodsWe performed single-cell RNA sequencing of decidual tissues from RPL patients and gestational age-matched controls. We employed single-cell transcriptomics coupled with genotype-based origin analysis to dissect immune dysregulation in RPL. To identify cell type-specific RPL signatures, we mutually applied a supervised machine learning model and foundation model-based analysis, followed by pathway enrichment and network analysis. In addition, we prioritized drug repurposing candidates based on the drug response data, which reversed the RPL-associated transcriptional profiles. ResultsIn normal pregnancy, fetal immune cells were nearly absent but increased in RPL, whereas fetal trophoblasts were reduced, suggesting hindered placental development despite the absence of chromosomal abnormalities in fetal cells. Interestingly, by showing a strong common rejection module score, RPL immune cells resemble the transcriptional signatures of acute transplant rejection, indicating the contribution of the maternal immune system. Our machine learning and transformer-based models mutually identified T-cell-derived transcriptomic signatures that distinguished RPL immune cells. By examining biological confounding factors, including fetal-origin signatures, we prioritized CXCR4 and JUN in maternal T cells as RPL-associated signatures. For clinical application, we explored reversed transcriptional signatures from drug response data, and three compounds were highlighted as candidates for drug repurposing. ConclusionsTogether, our approach identifies maternal immune signatures such as those of CXCR4 and JUN and links them to potential drug repurposing candidates, thereby providing both mechanistic insights and therapeutic opportunities for RPL.

bioinformatics↗

bioRxiv2025

L1CAM signaling through planar cell polarity generates SOX2+ metastatic progenitors in lung adenocarcinoma

Plasticity transitions during carcinoma progression generate fetal-like progenitor states with metastatic capacity. How these progenitors emerge and persist during tumor progression remains unknown. Here, we elucidate a process that drives the emergence of SOX2+ metastatic progenitors in lung adenocarcinomas (LUAD). LUAD cells in the tumor invasive front and distant metastases express the cell adhesion molecule L1CAM, a marker of regenerative epithelial progenitors and a mediator of cell-basement membrane and cell-cell interactions. L1CAM-mediated adhesion to perivascular basement membrane is known to stimulate the proliferation of extravasated micrometastatic cells. We now identify a distinct and broader role of L1CAM as promoter of the SOX2+ LUAD progenitor state. We show that L1CAM at cell-cell interfaces promotes the assembly of the planar cell polarity (PCP) complex in metastatic LUAD progenitors. L1CAM-dependent PCP acting through a non-canonical WNT signaling activates c-Jun, which cooperates with the chromatin remodeling factor CHD1 to drive SOX2 expression and metastatic activity. This axis sustains the tumor-initiating and regenerative capacity of LUAD progenitor cells. By illuminating the role of L1CAM and PCP signaling in the generation of SOX2+ LUAD progenitors, our findings identify potential new targets to treat metastatic cancer.

cancer biology↗

bioRxiv2025

GDF15 reprograms the microenvironment to drive the development of uveal melanoma liver metastases

Uveal melanoma (UM) results in fatal liver metastasis, yet little is known about the interactions between UM and host cells in the tumor microenvironment that promote this distinctive proclivity. Here, we used single cell (sc)-RNA-Seq analysis of UM-hepatic stellate cell (HSC) co-cultures to demonstrate that HSCs enriched for UM cell states that expressed genes implicated in cell survival, metabolic reprogramming and angiogenesis. A lead candidate driver of HSC reprogramming was the TGF-{beta} family member GDF15, which was associated with a metastatic UM phenotype. Silencing of BAP1 in UM cells led to increased GDF15 expression and accumulation of H3K27ac marks at the GDF15 promoter. Treatment of HSCs with GDF15 led to increased expression extracellular matrix proteins, inflammatory cytokines and angiogenic factors, including IL-8. Both exogenous GDF15, IL-8 and conditioned media from UM-HSC co-cultures increased endothelial cell network formation in vitro, an effect that was blocked by anti-GDF15 antibodies. In multiple models of metastatic UM, silencing of GDF15 inhibited the outgrowth of metastatic lesions, associated with reduced deposition of extracellular matrix and recruitment of endothelial cells. UM liver metastasis development is dependent upon GDF15-mediated remodeling of the liver microenvironment leading to an angiogenic response and matrix deposition that supports tumor growth.

cancer biology↗

bioRxiv2025

Emotional arousal enhances narrative memories through functional integration of large-scale brain networks

Emotional events tend to be vividly remembered. While growing evidence suggests that emotions have their basis in brain-wide network interactions, it is unclear if and how these whole-brain dynamics contribute to memory encoding. We combined fMRI, graph theory, text analyses, and pupillometry in a naturalistic context where participants recalled complex narratives in their own words. Across three independent datasets, emotionally arousing moments during narrative perception were associated with an integrated brain state characterized by increased cohesion across functional modules, which in turn predicted the fidelity of subsequent recall. Network integration mediated the influence of emotional arousal on recall fidelity, with consistent within- and between-network interactions supporting the mediation across datasets. Together, these results suggest that emotional arousal enhances memory encoding via strengthening functional integration across brain networks. Our findings advance a cross-level understanding of emotional memories that bridges large-scale brain network dynamics, affective states and ongoing cognition.

neuroscience↗

bioRxiv2025

Testing a general theory for flowering time shift as a function of growing season length

Understanding the effects of climate change on the evolution of phenological timing, such as start of flowering, is of major interest because phenology is critical for fitness of populations, and underpins many ecological dynamics. Much recent research has focused on the correlation between phenological timing and the arrival of spring. However, the evolutionarily optimal seasonal timing should depend also on the duration of the growing season, within which entire annual life cycles must unfold. Optimal energy allocation theory can explicitly address life-history scheduling in a seasonal environment, and be used to predict how scheduling should adaptively respond to seasonality shifts. Here we extend a seminal theoretical framework for perennial plant scheduling by Iwasa & Cohen (1989), and predict a specific nonlinear relationship between growing season length and optimal flowering time expressed as number of days after the start of the growing season. We tested and found strong support for this a priori prediction in two independent common-garden experiments with purple loosestrife (Lythrum salicaria) and European goldenrod (Solidago virgaurea) populations sampled along latitudinal gradients in Sweden. Climate warming is commonly associated with changes in both the start and the duration of the growing season. Considering both effects, our findings suggest that as springs start earlier and growing seasons lengthen, shifts in optimal flowering time expressed as calendar date may initially stall before accelerating, potentially explaining observed variation in phenological shifts across systems. More broadly, we show how mechanistic life history theory can advance understanding of phenological change beyond correlative conclusions. SIGNIFICANCE STATEMENTThe optimal timing for a plant to flower depends both on when spring begins and on the total length of the growing season--both shifting with climate change. However, the adaptation of flowering time to changes in growing season length is much less explored than to an advancing spring. Building on existing theory, we predict a nonlinear relationship between growing season length and optimal flowering time. Data on two species (purple loosestrife and European goldenrod) grown in common gardens strongly support this prediction. Our results demonstrate why species can vary in their observed phenological responses to climate change. More broadly, we highlight the power of mechanistic life history theory for explaining and predicting phenological shifts.

ecology↗

bioRxiv2024

The axillary lymphoid organ - an external, experimentally accessible immune organ in the zebrafish

Lymph nodes and other secondary lymphoid organs play critical roles in immune surveillance and immune activation in mammals, but the deep internal locations of these organs make it challenging to image and study them in living animals. Here, we describe a previously uncharacterized external immune organ in the zebrafish ideally suited for studying immune cell dynamics in vivo, the axillary lymphoid organ (ALO). This small, translucent organ has an outer cortex teeming with immune cells, an inner medulla with a mesh-like network of fibroblastic reticular cells along which immune cells migrate, and a network of lymphatic vessels draining to a large adjacent lymph sac. Noninvasive high-resolution imaging of transgenically marked immune cells can be carried out in the lobes of living animals, and the ALO is readily accessible to external treatment. This newly discovered tissue provides a superb model for dynamic live imaging of immune cells and their interaction with pathogens and surrounding tissues, including blood and lymphatic vessels. TeaserA newly characterized external zebrafish lymphoid organ provides a powerful model for live imaging of immune cell dynamics

developmental biology↗