Biology subjects

Ma, X.

Publications and source records attributed to Ma, X..

At least 145 records · Page 8Linked to original sources

bioRxiv2024

Long-lasting, subtype-specific regulation of somatostatin interneurons during sensory learning

Somatostatin (SST)-expressing inhibitory neurons are a major class of neocortical {gamma}-amino butyric acid (GABA) neurons, where morphological, electrophysiological, and transcriptomic analyses indicate more than a dozen different subtypes. However, whether this diversity is related to specific roles in cortical computations and plasticity remains unclear. Here we identify learning-dependent, subtype-specific plasticity in layer 2/3 SST neurons of the mouse somatosensory cortex. Martinotti-type, SST neurons expressing calbindin-2 show a selective decrease in excitatory synaptic input and stimulus-evoked calcium responses as mice learn a stimulus-reward association. Using these insights, we develop a label-free classifier using basal activity from in vivo imaging that accurately predicts learning-associated response plasticity. Our data indicate that molecularly-defined SST neuron subtypes play specific and highly-regulated roles in sensory information processing and learning.

neuroscience↗

bioRxiv2024

Structural basis of augment taurine uptake by taurine transporter alleviating cellular senescence

Taurine, a sulfur-containing amino acid, is critical for diverse physiological processes including liver function, cardiovascular health, and neurological development. Its deficiency has been linked to liver damage, cardiomyopathy, retinal degeneration, and accelerated aging. Despite its importance in metabolic regulation and disease prevention, the structural basis for taurines cellular uptake and its potential therapeutic applications have remained elusive. Here, we present high-resolution cryo-electron microscopy structures of the human taurine transporter (TauT) in multiple conformational states, revealing key insights into the taurine transport mechanism. We identify five distinct taurine-binding sites, elucidating a continuous pathway for taurine translocation across the cell membrane. Notably, we discover a novel gating mechanism involving a conserved salt bridge, which when disrupted, significantly enhances taurine uptake. Leveraging these structural insights, we demonstrate that augmented taurine uptake via TauT alleviates stress-induced senescence in biliary epithelial cells, potentially through the upregulation of the stress-responsive gene ATF3. Our findings not only advance the understanding of neurotransmitter transport but also unveil TauT as a promising therapeutic target for age-related liver diseases and other senescence-associated disorders. This work bridges structural biology with physiological function, offering new avenues for developing interventions to combat cellular aging and taurine-deficiency related diseases.

biochemistry↗

bioRxiv2024

KLF7-Regulated ITGA2 as a Therapeutic Target for Inhibiting Oral Cancer Stem Cells

Cancer stem cells (CSCs) play crucial roles in tumor metastasis, therapy resistance, and immune evasion. Identifying and understanding the factors that regulate the stemness of tumor cells presents promising opportunities for developing effective therapeutic strategies. In this study on oral squamous cell carcinoma (OSCC), we confirmed the key role of KLF7 in maintaining the stemness of OSCC. Using chromatin immunoprecipitation sequencing and dual-luciferase assays, we identified ITGA2, a membrane receptor, as a key downstream gene regulated by KLF7 in the maintenance of stemness. Tumor sphere formation assays, flow cytometry analyses, and in vivo limiting dilution tumorigenicity evaluations demonstrated that knocking down ITGA2 significantly impaired stemness. When bound to its ECM ligand, type I collagen, ITGA2 activates several stemness-related pathways, including PI3K-AKT, MAPK, and Hippo. TC-I 15, which inhibits the ITGA2-collagen interaction, showed a synergistic anti-tumor effect when combined with cisplatin in both in vitro and xenograft models. In summary, we reveal that the KLF7/ITGA2 axis is a crucial modulator of stemness in OSCC. Our findings suggest that ITGA2 is a promising therapeutic target, offering a novel anti-CSC strategy. Highlights1) KLF7 as a key molecule in maintaining oral cancer stemness. 2) ITGA2as a key downstream gene regulated by KLF7 in the maintenance of stemness. 3) ITGA2 interacts with extracellular matrix type I collagen, activating stemness-related pathways and promoting YAP1 nuclear translocation to sustain OCSCs. 4) ITGA2 as a novel anti-CSC target, providing a new strategy to overcome OSCC drug resistance.

cancer biology↗

bioRxiv2024

Denoising complex-valued diffusion MR images using a two-step non-local principal component analysis approach

Purposeto propose a two-step non-local principal component analysis (PCA) method and demonstrate its utility for denoising diffusion tensor MRI (DTI) with a few diffusion directions. MethodsA two-step denoising pipeline was implemented to ensure accurate patch selection even with high noise levels and was coupled with data preprocessing for g-factor normalization and phase stabilization before data denoising with a non-local PCA algorithm. At the heart of our proposed pipeline was the use of a data-driven optimal shrinkage algorithm to manipulate the singular values in a way that would optimally estimate the noise-free signal. Our approachs denoising performances were evaluated using simulation and in-vivo human data experiments. The results were compared to those obtained with existing local-PCA-based methods. ResultsIn both simulation and human data experiments, our approach substantially enhanced image quality relative to the noisy counterpart, yielding improved performances for estimation of relevant DTI metrics. It also outperformed existing local-PCA-based methods in reducing noise while preserving anatomic details. It also led to improved whole-brain tractography relative to the noisy counterpart. ConclusionThe proposed denoising method has the utility for improving image quality for DTI with reduced diffusion directions and is believed to benefit many applications especially those aiming to achieve quality parametric mapping using only a few image volumes.

neuroscience↗

bioRxiv2024

Key contribution of prefrontal inhibition to passive coping behaviour: chronic stress and fast-acting antidepressant

Persistent passive coping behaviour is a hallmark feature in major depression and is reversed by fast-acting antidepressants (such as ketamine). This behaviour is regulated by a specific cortico-midbrain circuit. However, whether the prefrontal cortex (PFC), especially inhibition in PFC, contributes to the modulation of passive coping, and whether this modulation is important for mediating the impacts of chronic stress and/or fast-acting antidepressants, are poorly understood. Here, we found that rostral prelimbic cortex (rPL) bidirectionally controls the occurrence of passive coping behaviour where excitatory and inhibitory neurons play opposite roles. Chronic stress leads to reduced excitation/inhibition (E/I) ratio, reflected as alterations in in vivo spiking rate, synaptic inputs and intrinsic excitability of both excitatory and inhibitory neurons. A fast-acting antidepressant, (2R, 6R)-hydroxynorketamine (HNK), reduced passive coping behaviour, restored rPL E/I ratio and partially reversed altered properties in rPL neurons, in chronically stressed mice. Importantly, chronic stress and HNK mostly affected fast-spiking/parvalbumin inhibitory neurons instead of other inhibitory neurons, indicating the important role of this subtype of inhibitory neurons in the above processes. These findings demonstrate the importance of rPL E/I balance in regulating passive coping, which can be modulated by chronic stress and rapidly restored by fast-acting antidepressant.

neuroscience↗

bioRxiv2024

BBATProt: A Framework Predicting Biological Function with Enhanced Feature Extraction via Explainable Deep Learning

Accurately predicting the functions of peptides and proteins from their amino acid sequences is essential for understanding life processes and advancing biomolecule engineering. Due to the time-consuming and resource-intensive nature of experimental procedures, computational approaches, especially those based on machine learning frameworks, have garnered significant interest. However, many existing machine learning tools are limited to specific tasks and lack adaptability across different predictions. Here we propose a versatile framework BBATProt for the prediction of various protein and peptide functions. BBATProt employs transfer learning with a pre-trained Bidirectional Encoder Representations from Transformers (BERT) model, to effectively capture high-dimensional features from amino acid sequences. The whole custom-designed network, integrating Bidirectional Long Short-Term Memory (Bi-LSTM) and Temporal Convolutional Networks (TCN), can align with the spatial characteristics of proteins. It combines local and global feature extraction through attention mechanisms for precise functional prediction. This approach ensures that key features are adaptively extracted and balanced across diverse tasks. Comprehensive evaluations show BBATProt outperforms state-of-the-art models in predicting functions like hydrolytic catalysis, activity of peptides, and post-translational modification sites. Visualizations of feature evolution and refinement via attention mechanisms validate the frameworks interpretability, providing transparency into the evolutional process and offering deeper insights into function prediction.

bioinformatics↗

bioRxiv2024

Cryo-EM structural insights into Vγ9Vδ2 TCR activation via multiple butyrophilins

Human V{gamma}9V{delta}2 T cells detect cancerous and pathogen-infected cells through an "inside-out" mechanism wherein intracellular domains of butyrophilin (BTN) proteins recognize phosphoantigens (pAgs) to prime BTN ectodomains to engage with the T cell receptor (TCR) to activate V{gamma}9V{delta}2 T cells. Here, we present cryo-electron microscopy (cryo-EM) structures, including the full-length BTN3A1-BTN3A2-BTN2A1 complex stabilized by the pAg HMBPP and an HMBPP-primed BTN multimer complex engaged with the V{gamma}9V{delta}2 TCR. The HMBPP-primed BTN3A1-BTN3A2-BTN2A1 complex confirms that this pAg bridges the intracellular B30.2 domains of BTN3A1 and BTN2A1, while also revealing an association of the ectodomains of BTN3A2 and BTN2A1. Upon TCR engagement, the TCR undergoes a substantial conformational change and BTN3A2-BTN2A1 ectodomain interaction dissociates, allowing BTN2A1 to bind to the lateral surface of the V{gamma}9 chain, while BTN3A2 binds to the apical surface of the V{delta}2 chain. Beyond demonstrating that BTN3A2 as a bona fide TCR ligand, this dissociation/binding sequence suggests a "pliers-like gripping" mechanism for TCR activation. We also obtained cryo-EM structures of BTN proteins in complex with functional antibodies, further elucidating the overall V{gamma}9V{delta}2 T cell activation process. Thus, our structural insights into how BTN proteins sense antigens and drive TCR activation lay the groundwork for developing targeted {gamma}{delta} T cell immunotherapies.

immunology↗

bioRxiv2024

Serotonergic neurons in the dorsal raphe regulate visual attention

Visual attention enhances the neural representation of salient stimuli within the visual cortex. It is generally thought that this enhancement is driven by glutamatergic feedback from frontal cortical areas. Here we report the unexpected observation that dorsal raphe (DR) derived serotonin (5HT) controls visual attention. We developed a behavioral model that captured the way mice allocated attention to cued and uncued visual locations and features. Simultaneous photometry showed reduced DR activity when mice deployed attention to the cued locations and features, whereas high DR activity was observed when mice were less attentive. Optogenetic excitation of DR-5HT neurons impaired attention to the cue and degraded behavioral performance, while optogenetic suppression improved attention and performance. A genetically encoded sensor of 5HT release showed reduced 5HT levels in visual cortex when mice attend and detect stimuli. These results demonstrate that DR-5HT neurons are members of the brains attentional circuit and suggest that 5HT is a novel biological carrier of visual attention.

neuroscience↗

bioRxiv2024

TNFSF13 insufficiency disrupts human colonic epithelial cell-mediated B cell differentiation

Cytokines mediating epithelial and immune cell interactions modulate mucosal healing-a process that goes awry with chronic inflammation as in inflammatory bowel disease. TNFSF13 is a cytokine important for B cell maturation and function, but roles for epithelial TNFSF13 and putative contribution to inflammatory bowel disease are poorly understood. We evaluated functional consequences of a novel monoallelic TNFSF13 variant using biopsies, tissue-derived colonoids and induced pluripotent stem cell (iPSC)-derived colon organoids. TNFSF13 variant colonoids exhibited a >50% reduction in secreted TNFSF13, increased epithelial proliferation, and reduced apoptosis, which was confirmed in iPSC-derived colon organoids. Single cell RNA-sequencing, flow cytometry, and co-immunoprecipitation identified FAS as the predominant colonic epithelial receptor for TNFSF13. Imaging mass cytometry revealed an increase in epithelial-associated B cells in TNFSF13 variant colon tissue sections. Finally, TNFSF13 variant colonoids co-cultured with memory B cells demonstrated a reduction in the production of IgA+ plasma cells compared to control colonoid co-cultures. Our findings support a role for epithelial TNFSF13 as a regulator of colonic epithelial growth and epithelial crosstalk with B cells. SUMMARYEpithelial TNFSF13 regulates colonic epithelial growth and epithelial-B cell interactions. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=105 SRC="FIGDIR/small/614260v1_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@1e5b892org.highwire.dtl.DTLVardef@b8857forg.highwire.dtl.DTLVardef@448b95org.highwire.dtl.DTLVardef@2820e2_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

bioRxiv2024

Overabundant endocannabinoids in neurons are detrimental to cognitive function

2-Arachidonoylglycerol (2-AG) is the most prevalent endocannabinoid involved in maintaining brain homeostasis. Previous studies have demonstrated that inactivating monoacylglycerol lipase (MAGL), the primary enzyme responsible for degrading 2-AG in the brain, alleviates neuropathology and prevents synaptic and cognitive decline in animal models of neurodegenerative diseases. However, we show that selectively inhibiting 2-AG metabolism in neurons impairs cognitive function in mice. This cognitive impairment appears to result from decreased expression of synaptic proteins and synapse numbers, impaired long-term synaptic plasticity and cortical circuit functional connectivity, and diminished neurogenesis. Interestingly, the synaptic and cognitive deficits induced by neuronal MAGL inactivation can be counterbalanced by inhibiting astrocytic 2-AG metabolism. Transcriptomic analyses reveal that inhibiting neuronal 2-AG degradation leads to widespread changes in expression of genes associated with synaptic function. These findings suggest that crosstalk in 2-AG signaling between astrocytes and neurons is crucial for maintaining synaptic and cognitive functions and that excessive 2-AG in neurons alone is detrimental to cognitive function.

neuroscience↗

bioRxiv2024

Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark

Intracortical brain-computer interfaces (iBCIs) can restore movement and communication abilities to individuals with paralysis by decoding their intended behavior from neural activity recorded with an implanted device. While this activity yields high-performance decoding over short timescales, neural data are often nonstationary, which can lead to decoder failure if not accounted for. To maintain performance, users must frequently recalibrate decoders, which requires the arduous collection of new neural and behavioral data. Aiming to reduce this burden, several approaches have been developed that either limit recalibration data requirements (few-shot approaches) or eliminate explicit recalibration entirely (zero-shot approaches). However, progress is limited by a lack of standardized datasets and comparison metrics, causing methods to be compared in an ad hoc manner. Here we introduce the FALCON benchmark suite (Few-shot Algorithms for COnsistent Neural decoding) to standardize evaluation of iBCI robustness. FALCON curates five datasets of neural and behavioral data that span movement and communication tasks to focus on behaviors of interest to modern-day iBCIs. Each dataset includes calibration data, optional few-shot recalibration data, and private evaluation data. We implement a flexible evaluation platform which only requires user-submitted code to return behavioral predictions on unseen data. We also seed the benchmark by applying baseline methods spanning several classes of possible approaches. FALCON aims to provide rigorous selection criteria for robust iBCI decoders, easing their translation to real-world devices. https://snel-repo.github.io/falcon/

neuroscience↗

bioRxiv2024

Decoding Specificity of Cyanobacterial MysDs in Mycosporine-Like Amino Acid Biosynthesis through Heterologous Expression in Saccharomyces cerevisiae

Mycosporine-like amino acids (MAAs) are potent natural UV-protectants, but their industrial production is hindered by efficiency and sustainability issues of large-scale extraction of their native hosts. Heterologous expression of MAA biosynthesis pathway genes in chassis organisms provides a promising alternative route, though the substrate promiscuity of the ATP-grasp ligase MysD complicates the biosynthesis of specific MAAs. In this study, we developed a Saccharomyces cerevisiae strain with enhanced capacity of producing mycosporine-glycine (MG), through genomic expression of biosynthesis pathway genes and knockout of competing pathway genes. This strain serves as an efficient MysD expression platform, which converts MG into shinorine and porphyra-334. Through structural modelling, site-directed mutagenesis and mutant characterization, we identified two residues on the omega-loop of MysD involved in determining product specificity. We further characterized the product specificity of 20 MysDs from diverse cyanobacterial lineages and confirmed the residue pattern-product specificity correlation. Our findings provide guidance for screening, selecting, and designing novel MysDs for industrial-scale MAA production through heterologous expression.

synthetic biology↗

bioRxiv2024

Unsupervised, piecewise linear decoding enables an accurate prediction of muscle activity in a multi-task brain computer interface

ObjectiveCreating an intracortical brain-computer interface (iBCI) capable of seamless transitions between tasks and contexts would greatly enhance user experience. However, the nonlinearity in neural activity presents challenges to computing a global iBCI decoder. We aimed to develop a method that differs from a globally optimized decoder to address this issue. ApproachWe devised an unsupervised approach that relies on the structure of a low-dimensional neural manifold to implement a piecewise linear decoder. We created a distinctive dataset in which monkeys performed a diverse set of tasks, some trained, others innate, while we recorded neural signals from the motor cortex (M1) and electromyographs (EMGs) from upper limb muscles. We used both linear and nonlinear dimensionality reduction techniques to discover neural manifolds and applied unsupervised algorithms to identify clusters within those spaces. Finally, we fit a linear decoder of EMG for each cluster. A specific decoder was activated corresponding to the cluster each new neural data point belonged to. Main resultsWe found clusters in the neural manifolds corresponding with the different tasks or task sub-phases. The performance of piecewise decoding improved as the number of clusters increased and plateaued gradually. With only two clusters it already outperformed a global linear decoder, and unexpectedly, it outperformed even a global recurrent neural network (RNN) decoder with 10-12 clusters. SignificanceThis study introduced a computationally lightweight solution for creating iBCI decoders that can function effectively across a broad range of tasks. EMG decoding is particularly challenging, as muscle activity is used, under varying contexts, to control interaction forces and limb stiffness, as well as motion. The results suggest that a piecewise linear decoder can provide a good approximation to the nonlinearity between neural activity and motor outputs, a result of our increased understanding of the structure of neural manifolds in motor cortex.

neuroscience↗

bioRxiv2024

Modeling of Non-invasive Cell Membrane Potential Measurement: LTSpice Simulation and Machine Learning Analysis

This paper presents a novel simulation approach using electric pulses to measure cell membrane potential. The primary objective was to develop a non-invasive method for accurately assessing membrane potential without altering the cell membrane or its internal components. Traditional techniques, such as voltage-sensitive dyes, often require cell incubation, which can affect membrane properties and reduce measurement accuracy. To overcome these limitations, we modeled the cell as two series-connected capacitors with a negative potential between them. By manipulating this negative potential and analyzing the charge and discharge characteristics, simulations conducted with LTspice demonstrated the feasibility of predicting membrane potential based on these characteristics. We tested 202 groups with various capacitor combinations and measured four key parameters related to charge and discharge currents: maximum current, minimum current, total charge time, and total discharge time. Using the XGBRegressor model, we achieved a strong fit with an R2 score of 0.9. This indicates a robust correlation between the measured charge and discharge characteristics and the internal potential of the cell. Our findings suggest that accurate measurement of cell membrane potential is possible by attaching an electrode to the cell without disrupting membrane integrity. Thus, this simulation-based approach offers a promising and non-invasive alternative for measuring cell membrane potential.

biophysics↗

bioRxiv2024

Phosphorylation of CRYAB Induces a Condensatopathy to Worsen Post-Myocardial Infarction Left Ventricular Remodeling.

Protein aggregates are emerging therapeutic targets in rare monogenic causes of cardiomyopathy and amyloid heart disease, but their role in more prevalent heart failure syndromes remains mechanistically unexamined. We observed mis-localization of desmin and sarcomeric proteins to aggregates in human myocardium with ischemic cardiomyopathy and in mouse hearts with post-myocardial infarction ventricular remodeling, mimicking findings of autosomal-dominant cardiomyopathy induced by R120G mutation in the cognate chaperone protein, CRYAB. In both syndromes, we demonstrate increased partitioning of CRYAB phosphorylated on serine-59 to NP40-insoluble aggregate-rich biochemical fraction. While CRYAB undergoes phase separation to form condensates, the phospho-mimetic mutation of serine-59 to aspartate (S59D) in CRYAB mimics R120G-CRYAB mutants with reduced condensate fluidity, formation of protein aggregates and increased cell death. Conversely, changing serine to alanine (phosphorylation-deficient mutation) at position 59 (S59A) restored condensate fluidity, and reduced both R120G-CRYAB aggregates and cell death. In mice, S59D CRYAB knock-in was sufficient to induce desmin mis-localization and myocardial protein aggregates, while S59A CRYAB knock-in rescued left ventricular systolic dysfunction post-myocardial infarction and preserved desmin localization with reduced myocardial protein aggregates. 25-Hydroxycholesterol attenuated CRYAB serine-59 phosphorylation and rescued post-myocardial infarction adverse remodeling. Thus, targeting CRYAB phosphorylation-induced condensatopathy is an attractive strategy to counter ischemic cardiomyopathy.

cell biology↗

bioRxiv2024

Erythropoietin-dependent Acquisition of CD71hiCD105hi Phenotype within CD235a- Early Erythroid Progenitors

The development of committed erythroid progenitors and their continued maturation into mature erythrocytes requires the cytokine erythropoietin (Epo). Here, we describe the immunophenotypic identification of a unique Epo-dependent colony-forming unit-erythroid (CFU-E) cell subtype that forms during early erythropoiesis (EE). This previously undescribed CFU-E subtype, termed late-CFU-E (lateC), lacks surface expression of the characteristic erythroid marker CD235a (glycophorin A) but has high levels of CD71 and CD105. LateCs could be prospectively detected in human bone marrow (BM) cells and, upon isolation and reculture, exhibited the potential to form CFU-E colonies in medium containing only Epo (no other cytokines) and continued differentiation along the erythroid trajectory. Analysis of ex vivo cultures of BM CD34+ cells showed that acquisition of the CD7hiCD105hi phenotype in lateCs is gradual and occurs through the formation of four EE cell subtypes. Of these, two are CD34+ burst-forming unit-erythroid (BFU-E) cells, distinguishable as CD7loCD105lo early BFU-E and CD7hiCD105lo late BFU-E, and two are CD34- CFU-Es, also distinguishable as CD71loCD105lo early CFU-E and CD7hiCD105lo mid-CFU-E. The transition of these EE populations is accompanied by a rise in CD36 expression, such that all lateCs are CD36+. Single cell RNA-sequencing analysis confirmed Epo-dependent formation of a CFU-E cluster that exhibits high coexpression of CD71, CD105, and CD36 transcripts. Gene set enrichment analysis revealed the involvement of genes specific to fatty acid and cholesterol metabolism in lateC formation. Overall, in addition to identifying a key Epo-dependent EE cell stage, this study provides a framework for investigation into mechanisms underlying other erythropoiesis-stimulating agents.

developmental biology↗

bioRxiv2024

MYC shapes ER-mitochondria calcium transfer by directly targeting ITPR1: implications for MYC-induced safeguard mechanisms and cancer

The MYC and NMYC transcription factors (TFs) play a key role in cell proliferation and are overexpressed in most cancer cells. However, in normal cells their overexpression triggers safeguard mechanisms promoting cell death and cellular senescence, which are bypassed in cancer cells. The mechanisms of action of this TF family are only partially understood. Here, we reveal that in normal cells MYC binds to the Inositol 1,4,5-Trisphosphate Receptor type 1 (ITPR1) gene and upregulates its expression, triggering an ER-mitochondria calcium (Ca2+) transfer, which is involved in MYC-induced cell death and senescence. Supporting a tumor suppressive role of MYC/ITPR1 axis, ITPR1 expression is generally decreased in cancer and reactivation of this pathway induces cancer cell death. Nevertheless, some cancer cells, generally expressing high levels of MYCN and/or MYC, also express high level of ITPR1, which correlates with high expression of BCL2, encoding an inhibitor of ITPR1. Strikingly, in high-risk MYCN-amplified neuroblastoma, ITPR1 expression is controlled by NMYC and its level correlates with worse patient survival. In these cells, blocking the interaction between BCL2 and ITPR1 induces mitochondrial Ca2+ accumulation and cell death, and decreases tumor size. Collectively these data highlight a new function of MYC factors by controlling Ca2+ signaling, which could constitute an unsuspected vulnerability for some cancer cells, including high-risk MYCN-amplified neuroblastoma cells.

cancer biology↗

bioRxiv2024

Haplotype-resolved genome assembly of upland switchgrass provides insights into cold tolerance

Switchgrass (Panicum virgatum L.) is a bioenergy and forage crop. Upland switchgrass exhibits superior cold tolerance than lowland ecotype, but the underlying molecular mechanisms remain unclear. Here, we presented a high-quality haplotype-resolved genome of the upland ecotype Jingji31 and conducted multi-omics analysis to understand its cold tolerance. The divergence between upland and lowland ecotypes of switchgrass occurred after the differentiation of the two subgenomes (K and N). Under cold stress, the K subgenome has more differentially expressed genes (DEGs). Transcriptome analysis revealed ecotype-specific differential expressions among members of the cold-responsive (COR) gene families. Specifically, certain members of the AFB1, ATL80, HOS10, and STRS2 gene families exhibited opposite expression changes between the two ecotypes, potentially contributing to their differential cold tolerance. By using haplotype-resolved genome, we identified more cold-induced allele-specific expressions (ASEs) in the upland ecotype, and these ASEs were significantly enriched in the COR gene families. Genome-wide association study detected an association signal on Chr3K related to overwintering rate, which overlapped with a selective sweep region and contained a cytochrome P450 (CYP450) gene highly expressed under cold stress. Heterologous overexpression of CYP450 in rice alleviated leaf wilting and improved cold tolerance. Our study provides a high-quality haplotype-resolved genome of upland switchgrass, to advance conceptual understanding of plant cold tolerance for breeding crops with enhanced cold adaptation.

genomics↗