Biology subjects

Miao, C.

Publications and source records attributed to Miao, C..

At least 19 recordsLinked to original sources

bioRxiv2026

Epigenetic activation of CHST2 by promoter hypomethylation promotes progression of triple-negative breast cancer

Epigenetic dysregulation is a hallmark of triple-negative breast cancer (TNBC), yet the oncogenic relevance of specific epigenetically activated genes remains poorly defined. In this study, we demonstrate that carbohydrate sulfotransferase 2 (CHST2) is aberrantly upregulated in TNBC across multiple transcriptomic analyses as a consequence of promoter hypomethylation. Elevated CHST2 expression is associated with aggressive clinicopathological characteristics and has been linked to unfavorable patient outcomes in independent cohorts. Functional analyses reveal that CHST2 primarily promotes TNBC cell migration and invasion, while genetic silencing of CHST2 markedly attenuates these malignant phenotypes. Importantly, mutational disruption of CHST2 catalytic activity abolishes its pro-migratory effects, indicating that sulfotransferase activity is essential for CHST2-driven invasiveness. Mechanistically, promoter hypomethylation is experimentally supported as a driver of CHST2 transcriptional activation, linking epigenetic deregulation to enhanced tumor aggressiveness. In addition, tumors with high CHST2 expression exhibit distinct immune-related transcriptional features within the tumor microenvironment. Collectively, these findings identify CHST2 as an epigenetically activated driver of invasive behavior in TNBC and highlight its potential value as a biomarker and therapeutic target for aggressive disease.

cancer biology↗

bioRxiv2025

Panax notoginseng saponins protect the blood brain barrier against oxidative stress by activating the Akap12/PI3K/AKT/AQP1 signaling axis

Oxidative stress is a key pathological factor that contributes to blood-brain barrier (BBB) disruption during ischemic injury. Panax notoginseng saponins (PNS), the primary bioactive components of Panax notoginseng, possess potent antioxidative and vasoprotective activities. This study aimed to elucidate the molecular mechanisms by which PNS regulate endothelial integrity and BBB permeability under oxidative stress conditions. Mouse brain microvascular endothelial cells (bEnd.3) were treated with hydrogen peroxide to induce oxidative damage, followed by intervention with PNS. Transcriptomic and proteomic analyses revealed that Akap12 (A-kinase anchoring protein 12) and Aquaporin 1 (AQP1) were key molecules involved in PNS-mediated endothelial protection. H2O2 exposure markedly suppressed Akap12 expression and inhibited the PI3K/AKT signaling pathway, leading to elevated AQP1 expression and increased BBB permeability. PNS treatment reversed these effects by restoring Akap12 expression, reactivating PI3K/AKT signaling, and reducing AQP1 levels. Functional validation further showed that AQP1 dysregulation altered the expression balance of tight junction proteins, including Claudin-5 and ZO-1, thereby impairing barrier function. Collectively, these findings demonstrate that PNS protect endothelial cells from oxidative injury by activating Akap12-dependent PI3K/AKT signaling and modulating AQP1-associated tight junction remodeling. This study provides new mechanistic insights into the molecular basis of PNS-mediated BBB protection and suggests potential therapeutic targets for oxidative or ischemic cerebrovascular diseases.

pharmacology and toxicology↗

bioRxiv2025

HERITABILITY AND QTL MAPPING OF AERIAL ROOTS AND OTHER YIELD COMPONENT TRAITS WITH IMPLICATIONS FOR N2 FIXATION IN ZEA MAYS

Zea mays L. spp. mays (hereafter maize) populations from an indigenous community of Mexico have been reported to perform well using traditional cultivation practices that exclude industrial fertilizers despite low soil nitrate levels. The local maize cultivar is characterized by extended maturity, tall stature, and presence of thick aerial roots that secrete an abundance of polysaccharide-rich root exudate, or mucilage, that is implicated in the recruitment of diazotrophic microbes to facilitate biological nitrogen fixation. Here we estimate the broad sense heritability of traits related to nitrogen fixation in a panel of Zea entries spanning pre-domestication, post-domestication and post-improvement, and identify QTL via F2:F3 families for traits including aerial root node counts and various other yield related traits (i.e. germination rate, time to reproductive maturity, total biomass and nitrogen content of shoot and grain). Across two separate field studies, aerial root node count (AR) demonstrates heritability of 64% and 73%, and genetic mapping reveals three distinct QTL distributed on chromosomes 1 and 9. Further, we report novel QTL for germination rate via stand counts after direct sowing (SC), Plant Total Nitrogen (PTN), Plant Dry Mass (PDM), and a joint QTL for Grain Total Nitrogen (GTN) and Grain Dry Mass (GDM). Finally, we identify overlap between QTL for multiple traits (including AR and SC) and regions of elevated introgression from wild Zea mays L. spp. mexicana (hereafter mexicana) into Totontepec maize, with a greater degree of overlap than expected under a uniform genomic distribution suggesting adaptive introgression from mexicana. Given its pronounced aerial root morphology, we propose that mexicana is the ancestral source for prominent aerial roots and corresponding abundant mucilage production in Totontepec maize and other maize traditional varieties. ARTICLE SUMMARYZea mays aerial roots (AR) and mucilage have been implicated in diazotrophic recruitment. This study estimates heritability and identifies QTL for AR and yield components via a diverse panel of Zea entries and F2:F3 mapping populations. Genetic mapping reveals three QTL for AR and several QTL for other yield traits, both novel and previously reported. This study also compares QTL and regions of elevated introgression from wild Zea mays L. spp. mexicana (hereafter mexicana) into a native cultivar. For AR QTL, enrichment for mexicana-derived haplotypes is greater than expected under a uniform genomic distribution, suggesting adaptive introgression from mexicana.

genetics↗

bioRxiv2025

Melatonin enhances peanut productivity by enriching root-associated nitrogen fixing bacteria

Melatonin, a pleiotropic phytohormone, is widely recognized as a promising bio-stimulant, yet its integrative effects on root development, yield gain, and microbiome assembly in legumes remain underexplored. In this study, we investigated the effects of melatonin seed treatment across three peanut genotypes, focusing on plant productivity, and the composition and structure of bacterial communities in root, rhizosphere, and bulk soil compartments. Melatonin treatment substantially improved root biomass, nodulation, nitrogen balance index, and yield-related traits, with the highest response observed in the genotype Kainong 308. Amplicon sequencing revealed that melatonin induced distinct genotype and compartment specific shifts in bacterial community composition, with the root bacteria showing the increased remodeling, including a 45.9% increase in unique amplicon sequence variants (ASVs). Melatonin selectively enriched key Proteobacteria taxa such as Rhizobium, Sphingomonas, and Enterobacter hormaechei, known for their plant-growth promoting and biocontrol capabilities. Co-occurrence network analysis indicated that melatonin-treated roots harbored more complex bacterial networks, and module #4 dominated by melatonin-induced Proteobacteria was strongly correlated with most of the plant traits. Collectively these findings highlight melatonin dual role as a bio-stimulant and microbiome modulator, promoting a functionally enriched and responsive bacteria that supports enhanced plant performance. This study provides novel insights into the melatonin-mediated coordination of plant performance and bacterial assembly, offering a foundation for microbiome-informed crop improvement strategies.

plant biology↗

bioRxiv2025

Receptor Tyrosine Kinase Profiling Identifies Chronic Constitutive Floodgate Oxidative Signaling in Glutathione-Independent Human Mammary Luminal Progenitor Cells

The human mammary epithelium contains a subset of luminal progenitor (LP) cells that are distinct from basal cells in both lineage potential and redox biology. LPs are uniquely equipped to tolerate oxidative stress through glutathione-independent mechanisms and have been implicated as candidate cells of origin in basal-like breast cancers. In this study, we identify the receptor tyrosine kinase (RTK) cKIT (CD117), as a defining feature of LPs and a key mediator of their expansion. cKIT is developmentally restricted to the LP compartment via Polycomb-mediated epigenetic repression in basal and luminal-committed cells. It is expressed in scattered epithelial cells within both ductal and alveolar regions of resting human mammary glands. Using RTK-engineered MCF10A models, we demonstrate that cKIT ligand/stem cell factor (SCF)-activated wildtype cKIT signaling is sufficient to drive proliferation in the absence of epidermal growth factor (EGF) and that cKIT is responsive not only to canonical ligands but also to hydrogen peroxide (H2O2). In primary human LPs, cKIT is rapidly phosphorylated upon exposure to SCF and H2O2, with concomitant AKT activation. These responses are enhanced when cKIT and EGFR signaling are co-engaged, suggesting a cooperative mitogenic program. In mammary gland, phosphorylation of the antioxidant enzyme PRDX1 is selectively detected in LPs, consistent with a floodgate model of redox signaling in which transient oxidative inactivation of peroxiredoxins (PRDXs) facilitates RTK signaling under elevated intracellular reactive oxygen species conditions. Clinically, elevated cKIT expression is associated with shorter progression-free survival in certain basal-like breast cancer, supporting a link between LP-like redox signaling states and aggressive tumor behavior. Together, these findings define a redox-integrated RTK signaling axis centered on cKIT that drives LP expansion and is associated with poor outcomes in a subset of basal breast cancers. This work establishes a mechanistic framework for targeting redox-responsive progenitor populations in both regenerative and oncologic context.

cancer biology↗

bioRxiv2025

Myocyte Enhancer Factor 2A Orchestrates Vascular Redox Homeostasis via Direct Transcriptional Activation of SIRT1

Myocyte enhancer factor 2A (MEF2A), a transcription factor implicated in coronary artery disease, remains unexplored in vascular redox regulation. To address this gap and overcome limitations of current antioxidant therapies, we investigated MEF2As role in oxidative defense using human umbilical vein endothelial cells (HUVECs) and murine models. Adenoviral vectors encoding MEF2A-specific shRNA or mRNA were employed to silence or overexpress MEF2A in HUVECs. For in vivo validation, endothelial-targeted MEF2A knockdown was achieved via AAV1-shRNA delivery in mice fed a high-fat diet. Systemic redox status was assessed by measuring reactive oxygen species (ROS), glutathione homeostasis (GSH/GSSG ratio), NADH/NAD+ balance, mitochondrial membrane potential ({Delta}{Psi}m), and 8-hydroxy-2'-deoxyguanosine (8-OHdG). Mechanistic insights were derived from immunofluorescence, qPCR, western blotting, and dual-luciferase reporter assays. MEF2A silencing induced redox imbalance, characterized by elevated ROS, reduced GSH/GSSG ratio, and {Delta}{Psi}m collapse. Conversely, MEF2A overexpression synergized with SIRT1 to restore glutathione pools, maintain NAD+ homeostasis, and suppress ROS under oxidative stress. Chromatin immunoprecipitation confirmed direct MEF2A binding to two cis-elements in the SIRT1 promoter, driving transcriptional activation. In vivo, MEF2A-deficient mice exhibited amplified vascular oxidative damage, including elevated DNA damage marker (8-OHdG) and ROS levels. Downregulation of SIRT1/PGC-1 in MEF2A silenced cells was verified in vivo. Our findings establish MEF2A as a master regulator of endothelial redox defense via the SIRT1-PGC-1 axis, offering a mechanistic foundation for targeting oxidative cardiovascular disorders. This work suggests pharmacological MEF2A activation as a novel strategy for precision antioxidant therapy in vascular medicine.

molecular biology↗

bioRxiv2025

FEDRANN: effective overlap graph construction based on dimensionality reduction and approximate nearest neighbors

Overlap detection is a key step in de novo genome assembly pipelines based on the Overlap-Layout-Consensus (OLC) paradigm. However, existing methods for overlap detection either rely on heuristic seed-and-extension strategies or locality-sensitive hashing (LSH), both of which struggle to handle repetitive genomic regions and the computational burden of large-scale datasets. Here, we present FEDRANN, a novel strategy for overlap graph construction that integrates feature extraction, dimensionality reduction (DR), and approximate nearest neighbor (ANN) search. We find the pipeline combining inverse document frequency (IDF) transformation, sparse random projection (SRP), and NNDescent enables accurate detection of overlaps across diverse datasets. We developed an efficient open-source implementation of this pipeline named Fedrann (https://github.com/jzhang-dev/fedrann). Through systematic benchmarking on real long-read sequencing data, we demonstrate that Fedrann produces overlap graphs comparable to or better than those generated by existing state-of-the-art tools, including MECAT2, minimap2, and wtdbg2, while maintaining competitive runtime. Despite being implemented primarily in Python, Fedrann achieves performance on par with tools written in compiled languages, owing to matrix-based representations and C-accelerated numerical libraries. Our results suggest that DR and ANN techniques offer a promising new direction for scalable and accurate overlap detection in long-read assembly and broader sequence similarity search tasks.

bioinformatics↗

bioRxiv2025

A novel vimentin variant from tumor-associated macrophages directs cancer metastasis by engaging IGF-1R

Tumor-associated macrophages (TAMs) are recognized for their role in promoting malignancy. However, the specific mechanisms by which they drive cancer cell migration remain largely unexplored. Here, we identified a novel N-terminal-less variant of vimentin, a cytoskeletal intermediate filament protein, that is selectively secreted by TAMs through a type I unconventional secretion pathway following caspase cleavage of its N-terminus. The macrophage-secreted short vimentin (mssVIM) enhances tumor migration, as demonstrated in breast cancer cell lines, patient-derived cancer cells, mammospheres, and in vivo mouse xenograft models. Mechanistically, mssVIM binds and activates the insulin-like growth factor 1 receptor (IGF-1R) on the cancer cell surface, by exposing binding sites that are otherwise masked in full-length vimentin. Unlike the canonical IGF-1-IGF-1R signaling pathway that promotes cell proliferation, mssVIM-activated IGF-1R triggers ribosomal S6 kinase (RSK) activation, which increases integrin V{beta}6 expression, ultimately facilitating tumor cell migration. Analysis of tissue samples from a cohort of breast cancer patients showed that mssVIM levels positively correlate with tumor malignancy and lymph node metastasis, suggesting its potential as a prognostic biomarker.

cell biology↗

bioRxiv2025

Few-shot in-context learning with large language models for antibody characterization

Large language models (LLMs) can learn new tasks by in-context learning (ICL), but it is unknown whether this ability reliably transfers to biological sequence classification. Here, we systematically evaluate how demonstration selection, shot count, and prompting strategies affect performance across 20 general-purpose LLMs. Using antibody characterization as a representative test case, we compare zero-shot, few-shot, and chain-of-thought (CoT) ICL on three classification tasks: humanness, antigen specificity, and isotype. Our results reveal a clear performance hierarchy: while zero-shot prompting performs near chance, few-shot prompting with randomly selected demonstrations improves performance, showing that LLMs can perform ICL using biological sequences from minimal supervision. However, matching protein-language model (pLM)-based classifier accuracy is only achieved when using label-diverse demonstrations drawn from antibodies similar to the query sequence. To leverage this insight, we introduce Sim-ICL, a framework that automatically retrieves such demonstrations. Using only 32-shot prompting, Sim-ICL achieves performance competitive with pLM-based classifiers, matching or outperforming them in two of the three tasks. Furthermore, reasoning-oriented prompts yield marginal gains and often produce fluent but biologically incorrect rationales, suggesting that current CoT explanations function as after-the-fact rationalizations rather than capturing mechanistic determinants of antibody properties. From these experiments, we derive practical design principles for ICL on biological sequences: use similarity-based, label-diverse demonstrations and modest shot counts, and treat reasoning prompts primarily as post hoc narratives rather than drivers of performance. Sim-ICL implements these principles in a streamlined, prompt-based framework for antibody sequence classification and, in principle, could be adapted to other biological sequence tasks.

bioinformatics↗

bioRxiv2024

Differential Impact of Multiple Sensory Deprivation on Spatial-coding Cells in Medial Entorhinal Cortex

Spatial navigation depends on anchoring internal spatial maps to external environments, guided by sensory cues such as visual and tactile information. The Medial Entorhinal Cortex (MEC) is crucial for integrating these sensory inputs during the formation of spatial maps. While the responsiveness of many spatially modulated cells to visual stimuli is well-established, the role of tactile sensation in spatial representation is less understood. Rodents primarily gather tactile information through their whiskers, which provide essential spatial and textural details via whisking movements, potentially vital for constructing accurate spatial maps. In our study, we employed miniature two-photon microscopy to monitor neural activity in the MEC of freely moving male mice subjected to visual and tactile deprivation. We found that after spatial maps were established under visual guidance, head direction and border cells were disrupted by both light deprivation and whisker trimming, whereas grid and spatial cells were primarily dependent on visual input. In complete darkness with enriched tactile cues, however, all spatially modulated cell types could anchor their tuning to environmental tactile cues, and whisker trimming markedly impaired grid and spatial cell representations. A subset of neurons remained stable under combined deprivation, possibly relying on boundary-related tactile inputs from direct environmental contact. Additionally, we identified certain MEC neurons whose activity correlated with whisker movements, suggesting a potential role in integrating tactile information into spatial representations. These findings demonstrate that the MEC flexibly integrates multiple sensory inputs to sustain spatial coding and highlight a previously underappreciated contribution of tactile information to spatial navigation.

neuroscience↗

bioRxiv2024

Single field evolution rule governs the dynamics of representational drift in mouse hippocampal dorsal CA1 region.

How the brain reconciles dynamism with stability to balance learning and reliable memory storage has not yet been fully understood. To address the critical question, we longitudinally recorded place cells in the hippocampal dorsal CA1 region over 7 to 56 days, utilizing multiple goal-oriented navigation paradigms across various environments. We found that over 80% of place cells displayed multiple fields, undergoing complex evolution events including field disappearance, formation, and retention. Place fields from the same neuron showed limited coordination ([~]5%), with a preference for synchronized changes. We further uncovered the single field evolution rule: the longer a field remains active, the more likely it is to continue being active; conversely, the longer a field remains inactive, the less likely it is to recover the future fate of a place field depends on its past activity. Mathematical modeling revealed that this rule sufficiently demonstrates the growing stability of the dCA1 spatial representation at the population level.

neuroscience↗

bioRxiv2024

Cellular and Molecular Changes During Aging in MEC: Unveiling the Role of Bglap3 Neurons in Cognitive Aging

Aging-correlated cognitive declines, including deficiencies in spatial orientation and memory, may reflect dysfunction in the hippocampus and medial entorhinal cortex (MEC). However, aging-related changes in MEC at the cellular and molecular levels remain unclear. In this study, we found fewer grid cells with reduced spatial stability in old mice. We compared gene expression profiles between young and old mice using 10x Genomics Visium technology. Among 1664 differentially expressed genes, we discovered Bglap3, a marker gene for subpopulation in MEC Layer III with decreased cell number with age. Silencing of Bglap3+ neurons in young mice impaired the spatial tuning of neurons in MEC and the spatial learning of a new platform location in water maze. These findings help us to understand the cellular and molecular changes in the MEC in healthy aging animals and the changes of Bglap3+ cells in old mice indicating a possible cause of aging-related MEC deficiency.

neuroscience↗

bioRxiv2024

Commonly used software tools produce conflicting and overly-optimistic AUPRC values

The precision-recall curve (PRC) and the area under it (AUPRC) are useful for quantifying classification performance. They are commonly used in situations with imbalanced classes, such as cancer diagnosis and cell type annotation. We evaluated 10 popular tools for plotting PRC and computing AUPRC, which were collectively used in >3,000 published studies. We found the AUPRC values computed by the tools rank classifiers differently and some tools produce overly-optimistic results.

bioinformatics↗

bioRxiv2023

A molecularly distinct cell type in the dmPAG regulates intermale aggression behaviors in mice

BackgroundThe periaqueductal gray (PAG) is a central hub for regulation of aggression, while little is known on the circuitry and molecular mechanisms that govern this regulation. We investigate the role of a distinct cell type, Tachykinin 2-expressing (Tac2+) neurons, located in the dorsomedial PAG (dmPAG), in modulating aggression in mice. MethodsWe combined activity mapping, in vivo Ca2+ recording, chemogenetic and pharmacological manipulation, and a viral-based translating ribosome affinity purification (TRAP) profiling using a mouse resident-intruder model. ResultsWe reveal that the dmPAGTac2 neurons were selectively activated during fighting behaviors. Activation of the dmPAGTac2 neurons evoked, while inhibition or genetic ablation of the dmPAGTac2 neurons suppressed fighting behaviors. TRAP profiling of dmPAGTac2 neurons revealed that fighting behaviors specifically induced enrichment of serotonin-associated transcripts to the dmPAGTac2 neurons. Last, we validated these findings by selectively delivering pharmacological agent into the dmPAG and reversed the behavioral outcomes induced by chemogenetic manipulation. ConclusionsWe identify that the dmPAGTac2 neuron can regulate mouse aggressive behavior and thus suggest a distinct molecular target for the treatment of exacerbated aggressive behaviors in populations that exhibit high-level of violence. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/562724v3_ufig1.gif" ALT="Figure 1"> View larger version (75K): org.highwire.dtl.DTLVardef@afc876org.highwire.dtl.DTLVardef@91e355org.highwire.dtl.DTLVardef@1e41e43org.highwire.dtl.DTLVardef@17ef3f1_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

bioRxiv2023

Spatial transcriptomics and single-nucleus RNA sequencing reveal a transcriptomic atlas of adult human spinal cord

Despite the recognized importance of the spinal cord in sensory processing, motor behaviors, and neural diseases, the underlying organization of neuronal clusters and their spatial location remain elusive. Recently, several studies have attempted to define the neuronal types and functional heterogeneity in the spinal cord using single-cell or single-nucleus RNA sequencing in animal models or developing humans. However, molecular evidence of cellular heterogeneity in the adult human spinal cord is limited. Here, we classified spinal cord neurons into 21 subclusters and determined their distribution from nine human donors using single-nucleus RNA sequencing and spatial transcriptomics. Moreover, we compared the human findings with previously published single-nucleus data of the mouse adult spinal cord, which revealed an overall similarity in the neuronal composition of the spinal cord between the two species while simultaneously highlighting some degree of heterogeneity. Additionally, we examined the sex differences in the spinal neuronal subclusters. Several genes, such as SCN10A and HCN1, showed sex differences in motor neurons. Finally, we classified human dorsal root ganglia (DRG) neurons using spatial transcriptomics and explored the putative interactions between DRG and spinal cord neuronal subclusters. In summary, these results illustrate the complexity and diversity of spinal neurons in humans and provide an important resource for future research to explore the molecular mechanisms underlying spinal cord physiology and diseases.

neuroscience↗

bioRxiv2022

CRISPR screens reveal genetic determinants of PARP inhibitor sensitivity and resistance in prostate cancer

Prostate cancer (PCa) harboring BRCA1/2 mutations is often exquisitely sensitive to PARP inhibition. However, genomic alterations in other DNA damage response genes have not been consistently predictive of clinical response to PARP inhibitors (PARPis). Here, we perform genome-wide CRISPR-Cas9 knockout screens in BRCA1/2-proficient PCa cell lines and identify novel genes whose loss has a profound impact on PARPi sensitivity and resistance. Specifically, MMS22L deletion, frequently observed (up to 14%) in PCa, renders cells hypersensitive to PARPis by disrupting RAD51 loading required for homologous recombination repair, although this response is TP53-dependent. Unexpectedly, loss of CHEK2 confers resistance rather than sensitivity to PARPis in PCa cells through increased expression of BRCA2, a target of CHEK2-TP53-E2F7-mediated transcriptional repression. Combined PARP and ATR inhibition overcomes PARPi resistance caused by CHEK2 loss. Our findings may inform the use of PARPis beyond BRCA1/2-deficient tumors and support reevaluation of currently used biomarkers for PARPi treatment in PCa.

cancer biology↗

bioRxiv2022

ERPs responses to dominance features from human faces

Social dominance is an important feature of social life. Dominance has been proposed to be one of two trait dimensions underpinning social judgments of human faces. Yet, the neural bases of the ability to identify different dominance levels in others based on facial features remains poorly understood. Here, we used event-related potentials (ERPs) to determine the temporal dynamics of facial dominance evaluation based on facial features signaling physical strength/weakness in humans. Twenty-seven participants performed a dominance perception task where they passively viewed faces with different dominance levels. Dominance levels did not modulate an early component of face processing, known as the N170 component, but did modulate the Late Positive Potential (LPP) component. These findings indicate that participants inferred dominance levels at a late stage of face evaluation. Furthermore, the highest level of dominant faces and the lowest level of submissive faces both elicited higher LPP amplitudes than faces with a neutral dominance level. Taken together, the present study provides new insights regarding the dynamics of the neurocognitive processes underlying facial dominance evaluation.

neuroscience↗

bioRxiv2021

3D reconstruction identifies loci linked to variation in angle of individual sorghum leaves

Selection for yield at high planting density has reshaped the leaf canopy of maize, improving photosynthetic productivity in high density settings. Further optimization of canopy architecture may be possible. However, measuring leaf angles, the widely studied component trait of leaf canopy architecture, by hand is a labor and time intensive process. Here, we use multiple, calibrated, 2D images to reconstruct the 3D geometry of individual sorghum plants using a voxel carving based algorithm. Automatic skeletonization and segmentation of these 3D geometries enable quantification of the angle of each leaf for each plant. The resulting measurements are both heritable and correlated with manually collected leaf angles. This automated and scaleable reconstruction approach was employed to measure leaf-by-leaf angles for a population of 366 sorghum plants at multiple time points, resulting in 971 successful reconstructions and 3,376 leaf angle measurements from individual leaves. A genome wide association study conducted using aggregated leaf angle data identified a known large effect leaf angle gene, several previously identified leaf angle QTL from a sorghum NAM population, and novel signals. Genome wide association studies conducted separately for three individual sorghum leaves identified a number of the same signals, a previously unreported signal shared across multiple leaves, and signals near the sorghum orthologs of two maize genes known to influence leaf angle. Automated measurement of individual leaves and mapping variants associated with leaf angle reduce the barriers to engineering ideal canopy architectures in sorghum and other grain crops.

plant biology↗