Biology subjects

Shan, Y.

Publications and source records attributed to Shan, Y..

At least 19 recordsLinked to original sources

bioRxiv2026

Validation of MHPC512: A Publicly Available Special-Purpose Supercomputer for Molecular Dynamics Simulations of Biomolecular Systems

MHPC512 is a massively parallel, special-purpose supercomputer designed primarily for atomic-level molecular dynamics (MD) simulations of biomolecular systems. It comprises 512 processor units interconnected by a high-speed three-dimensional torus network and employs a custom chip architecture that uses 35-bit fixed-point arithmetic to accelerate computation while controlling precision loss within an acceptable margin. The preprocessor is compatible with GROMACS and AMBER input formats and supports widely used biomolecular force fields (including CHARMM, AMBER, and OPLS/AA), the Neutral Territory method for short-range nonbonded interactions, the k-space Gaussian Split Ewald method for long-range electrostatics, and multiple thermostats, barostats, and integrators. We present a three-tier validation protocol--comparing static energy and virial components, examining ensemble distributions (NVE, NVT, NPT), and evaluating long-time statistical properties--demonstrating that MHPC512 reproduces results consistent with GROMACS and AmberTools. Application examples, including bulk water, dipeptide conformational sampling, folding of fast-folding peptides, membrane-protein systems, lipid self-assembly, and GPCR conformational transitions, further confirm its reliability. MHPC512 has been deployed at multiple supercomputing centers and is publicly accessible, representing a significant advance in high-throughput, large-scale biomolecular MD simulations.

Molecular Biology↗

bioRxiv2026

Alignment-free phylogenetic inference via hyperbolic protein language models

Conventional phylogenetic methods rely on multiple sequence alignments which are computationally intensive and often fail for highly divergent lineages. Here, we introduce LucaPhylo, an alignment-free framework that infers evolutionary relationships directly from unaligned sequences. Through a cascaded learning strategy LucaPhylo integrates protein language models with hyperbolic geometry, a representation space naturally suited to hierarchical branching, to capture deep evolutionary constraints without explicit homology matching. Using highly divergent RNA virosphere as a test case, LucaPhylo places unaligned sequences into phylogenetic trees with an accuracy comparable to leading alignment-based tree construction tools, while retaining divergent sequences that conventional pipelines frequently discard. It further enables the integration of divergent viral lineages into phylogenetic trees, thereby expanding the evolutionary landscape of RNA viruses. Together, LucaPhylo establishes an AI-driven, alignment-free paradigm for phylogenetic inference and provides a robust computational foundation for resolving deep evolutionary relationships among RNA viruses and other biological systems.

evolutionary biology↗

bioRxiv2026

A bifidobacterial enzyme orchestrates ecology and function of infant gut bacterial community

Human milk oligosaccharides (HMOs) are abundant and structurally diverse glycans that shape the development of infant gut microbiota. Yet, how individual HMOs and bacterial genes drive the community assembly remain elusive. Here, we reconstructed an eight-member infant Bacterial Community (iBaCo) from representing dominant taxa in human infant feces. When individual HMOs were the sole carbohydrate source, they showed deterministic effects on the iBaCo composition and metabolic output. Notably, the tetramer HMO lacto-N-tetraose (LNT), in spite of its identical monomer composition as lacto-N-neotetraose (LNnT), showed a strong effect on maintaining Bifidobacterium breve abundance in iBaCo, whereas LNnT did not. Monoculture growth profiling, proteomics, enzymatic kinetic assay, and molecular docking revealed that {beta}-galactosidase D4BMY8 and the relevant downstream pathways are induced by LNT and that D4BMY8 has substrate preference on LNT over LNnT, enabling a faster growth of Bi. breve and accumulation of acetate and lactate in LNT compared to LNnT. Metabolic flux analysis indicated that the substrate-preference of {beta}-galactosidase D4BMY8 drives the skewed energy cost toward lactate/acetate metabolic output. Finally, the D4BMY8-encoding gene lacZ5 is widely spread in all isolated Bi. breve genomes, but divergently distributed in infant metagenome-assembled Bi. breve genomes. Together, we demonstrated that a single enzyme-substrate interaction could orchestrate the composition and metabolic function of an infant bacterial community, which may contribute to the assembly of dynamic infant gut microbiota. Our integrative approach provides a mechanistic framework for understanding the interaction between diet, microbial community, and infant gut health.

microbiology↗

bioRxiv2026

Lipid droplets accumulate and delay regulated cell death execution

Normal and cancer cells accumulate lipid droplets (LDs) under stress to buffer lipotoxicity, but their role in regulated cell death (RCD) remains incompletely understood. Here, we explored LD accumulation across multiple apoptotic and non-apoptotic RCD modalities in human cancer cells and Drosophila germ cells. We found that LD accumulation arises from de novo LD biogenesis, whereas LD lipolysis remains active--or even enhanced--in dying germ cells and cancer cells, respectively. In Drosophila, LD accumulation in ATGL/Bmm lipase loss of function mutant inhibited germ cell death, supporting a protective role of LDs. Proteomic and imaging analyses revealed a broad redistribution of LD-associated proteins, encompassing lipid metabolism and stress response factors, as well as the pro-apoptotic effector Bax in human cancer cells during cell death. Enhanced LD-mitochondria contacts promoted the translocation of conformationally active Bax from mitochondria to LDs, thereby delaying apoptosis execution. Consistently, LD depletion sensitizes cells to Bax-dependent apoptosis, whereas LD accumulation confers resistance. Collectively, these findings define LD accumulation during cell death as a delaying mechanism in which LDs sequester mitochondrial cell death regulators, attenuating their pro-death activity and revealing potential therapeutic implications for apoptosis-resistant cancers.

cell biology↗

bioRxiv2026

Coronavirus Nucleocapsid Proteins Hijack Host Protein Kinase A Catalytic Subunit α into Nucleus to Evade from STAT1 Signaling

The role of the cAMP/PKA pathway in antiviral innate immunity, including during coronavirus infections, remains unclear. We discovered coronavirus N proteins initiate cAMP-ADCY10-PKA cascade. Cytoplasmic PKA activates STAT1 independently of canonical JAK/TYR2 signaling. Coronavirus N proteins, via a conserved arginine (e.g., PEDV R58, SARS-CoV-2 R92), directly bind and sequester PKA C into the nucleus to evade STAT1 activation. Using PEDV as a model, mutant viruses with NmutNLS and NR58A were generated. Wildtype PEDV infection suppressed STAT1 activation in cells expressing PKA C/PKA CS339A deficient in STAT1 phosphorylation. However, in rXS0101mutNLS- or rXS0101R58A-infected cells, only PKA CS339A expression inhibited STAT1 activation. Downregulation of STAT1 activation is accompanied with increased viral replication. This study first elaborates that PKA C activates STAT1 in the cytoplasm of infected cells distinctly from canonical JAK/STAT1 signaling, while coronaviruses evade this antiviral response by sequestering PKA C into the nucleus via direct N protein interaction.

microbiology↗

bioRxiv2025

A Novel Cell-Type Specific Circadian Reporter Mouse Reveals Self-Sustained Food Entrainable Nature in Enteric Neurons

Global luciferase reporter gene technology is an important real-time readout for the analysis of circadian oscillations. However, because nearly all cells in the body possess cell-autonomous circadian oscillators, developing cell-type-specific reporter systems is essential to dissect how these oscillators interact within complex multicellular tissues and are modulated by brain-body circadian signals. The intestine is a complex organ composed of diverse cell types with distinct origins and functions, and it exhibits robust daily rhythms in physiological activities driven by intrinsic circadian clocks. While the circadian regulation of the mucosal compartment, including the intestinal epithelium, has been relatively well characterized, the mechanisms governing the circadian rhythms in the cells of the muscularis externa remain largely unexplored. Here, we report a novel Cre-dependent Per2-luciferase reporter mouse that enables precise measurement of circadian oscillations in specific peripheral cell populations ex vivo and demonstrate its utility in revealing the hierarchical circadian chrono-architecture within the intestine. Ex vivo gut explants from mice expressing the reporter in one of five major cell types of the muscularis externa--enteric neurons (ENs), enteric glial cells (EGCs), interstitial cells of Cajal (ICCs), smooth muscle cells (SMCs), and muscularis macrophages (MMs)--exhibited robust, self-sustained circadian bioluminescence rhythms, indicating that all of these cell types possess cell-autonomous circadian oscillators. Notably, ENs in the small intestine entrained more rapidly to feeding schedules than did those in the colon, revealing regional differences in food entrainment among the gut clocks. Moreover, the clocks of ENs, SMCs, and MMs shifted their phase in response to daytime-restricted feeding, whereas ICC clocks remained unaffected even after three weeks of restricted feeding. These findings demonstrate that distinct intestinal cell types possess unique entrainment properties and that feeding rhythms can induce heterogeneous phase shifts within the gut clocks. Given that circadian disruption, such as that caused by shift work, contributes to intestinal disorders, this reporter system could provide a powerful platform to dissect the mechanisms linking intercellular circadian desynchrony to intestinal homeostasis. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=126 SRC="FIGDIR/small/688705v1_ufig1.gif" ALT="Figure 1"> View larger version (37K): org.highwire.dtl.DTLVardef@11250fforg.highwire.dtl.DTLVardef@18397f2org.highwire.dtl.DTLVardef@6ccd24org.highwire.dtl.DTLVardef@10fffef_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIA cell-type-specific circadian reporter mouse enables dissection of the chronoarchitecture of complex multicellular organs (e.g., the intestine) C_LIO_LIAll five major intestinal cell types contain autonomous circadian oscillators peaking at night C_LIO_LIEnteric neurons in small intestine entrain to feeding cycles faster than that in colon C_LIO_LIInterstitial cells of Cajal in both the small intestine and colon do not entrain to feeding cycles C_LIO_LIChemogenetic activation of enteric neurons mimics food entrainment, shifting their circadian phase. C_LI

neuroscience↗

bioRxiv2025

Optimized antibody with W32I mutation enhances antiviral efficacy against influenza

The influenza virus has caused a global pandemic with significant morbidity and mortality, highlighting the need to optimize antibodies for improved antiviral efficacy. The 3E1 antibody effectively neutralizes influenza subtypes H1 and H5 by inhibiting acid-induced conformational changes of hemagglutinin (HA). This study aimed to optimize the antibodys bioactivity by modifying amino acid residues, resulting in single-point mutants (3E1-L [W32I], 3E1-H [F103I]) and a double mutant (3E1-H+L [F103I, W32I]). The binding affinity, neutralizing activity, and antiviral mechanisms of the mutants were evaluated. Notably, the 3E1-L mutant showed significantly enhanced antiviral activity against H1N1 and H3N2 compared to wild-type 3E1, inhibiting both viral entry and release. The prophylactic and therapeutic efficacy of the 3E1-L mutant was validated. Molecular dynamics simulations of the 3E1-L/HA complex showed that the W32I mutation reduces steric hindrance between tryptophan at position 32 and the complementarity-determining region (CDR) L1 loop of HA. In conclusion, the W32I substitution enhances the antiviral activity of wild-type 3E1, making the optimization of 3E1-L a promising strategy for developing more effective influenza therapies.

immunology↗

bioRxiv2025

Future heatwave conditions inhibit CO2-induced stomatal closure in wheat

Rising atmospheric CO2 concentrations are driving ongoing climatic changes, leading to agricultural crops increasingly experiencing extreme weather events1. Stomata serve as gatekeepers on plant leaves, regulating both CO2 capture for photosynthesis and the concomitant release of water. At higher CO2 concentrations or higher vapour pressure deficit (VPD), stomatal pores narrow, reducing stomatal conductance to water vapour (gsw) and transpiration (E)2-6. Increasing temperatures and/or nitrogen fertilisation promote an opposite stomatal response, enhancing gsw and E7,8. With atmospheric CO2 concentration, temperature and VPD predicted to rise throughout this century1, it is unclear how crops will modify stomatal gaseous exchanges, particularly under differing N-fertilisation regimes. Here, we show in wheat (Triticum aestivum), that elevated CO2 does not reduce gsw or E during heatwaves when VPD is high, instead plant water usage increases. High-VPD heatwave events also impact stomatal responsiveness to N-fertiliser application, prompting significantly higher gas exchange contributions from abaxial leaf surfaces, irrespective of CO2 growth conditions. Dynamic stomatal responsiveness to light and high CO2 are also attenuated during heatwaves in a CO2-independent manner. Taken together, our data suggests that future wheat crops will use significantly more water during heatwaves than might be expected, which has substantial implications for future global food security.

plant biology↗

bioRxiv2024

Adaptation to cystine limitation stress promotes PDAC tumor growth and metastasis through translational upregulation of OxPPP

Cystine/cysteine is critical for antioxidant response and sulfur metabolism in cancer cells and is one of the most depleted amino acids in the microenvironment of pancreatic ductal adenocarcinoma (PDAC). The effects of cystine limitation stress (CLS) on PDAC progression are poorly understood. Here we report that adaptation to CLS (CLSA) promotes PDAC cell proliferation and tumor growth through translational upregulation of the oxidative pentose phosphate pathway (OxPPP). OxPPP activates the de novo synthesis of nucleotides and fatty acids to support tumor growth. On the other hand, CLSA-mediated lipidomic reprogramming depends on triacylglycerides synthesis and lipid droplet formation to mitigate lipotoxicity. Through drug screening, we identify lomitapide as an inhibitor of CLSA PDAC tumor growth and a potent sensitizer of chemotherapy. Lomitapide inhibits triacylglycerides synthesis to interfere with CLSA and chemotherapy-induced lipidomic reprogramming. Taken together, we demonstrate that CLSA promotes PDAC tumor growth through metabolic reprogramming and lomitapide could be used to target the dysregulated lipid metabolism in PDAC.

cancer biology↗

bioRxiv2024

VIACOT: a web server for interactive visualization and comparison of cell lineage trees

The cell lineage tree (CLT) records some or all cell division events during the development of multicellular organisms, as well as the functional characteristics of terminal cells, and is therefore commonly considered one of the most fundamental types of biological data. The combining of single-cell RNA sequencing with DNA barcoding has recently led to the rapid accumulation of CLT datasets. Unlike biological sequence data, web-based analysis and visualization tools for CLT data are currently lacking. In order to facilitate studies surrounding CLT, we built a webserver named VIACOT (Visualize Interactively And COmpare Trees). VIACOT is not only a comprehensive repository of published CLT datasets, but also a web tool that enables three preliminary analyses of preprocessed CLT datasets, including. (i) interactive visualization of CLT allowing fine-grain or coarse-grain exploration. (ii) calculations of correlations among single-cell metrics, such as gene expression levels, either using the original metrics or their phylogenetic independent contrasts. (iii) comparison among different CLTs to identify differences in cell fate. We anticipate that VIACOT will be a useful tool for exploration and biological interpretation of CLTs.

bioinformatics↗

bioRxiv2024

SegFinder: an automated tool for identifying RNA virus genome segments through co-occurrence in multiple sequenced samples

Metagenomic sequencing has expanded the RNA virosphere, but many identified viral genomes remain incomplete, especially for segmented viruses. Traditional methods relying on sequence homology struggle to identify highly divergent segments and group them confidently within a single virus species. To address this, we developed a new bioinformatic tool - SegFinder - that identifies virus genome segments based on their common co-occurrence at similar abundance within segmented viruses. SegFinder successfully re-discovered all segments from a test data set of individual mosquito transcriptomes, which was also used to establish parameter thresholds for reliable segment identification. Using these optimal parameters, we applied SegFinder to 858 libraries from eight metagenomic sequencing projects, including vertebrates, invertebrates, plants, and environmental samples. Furthermore, we identified 108 (excluding RdRP) unique viral genome segments, of which 55 were novel and 32 showed no recognizable sequence homology to known sequences but which were verified by the presence of conserved sequences at the genome termini. SegFinder is also able to identify segmented genome structures in viruses previously considered to be predominantly unsegmented, and in doing so expanded the number of known families and orders of segmented RNA viruses, making it a valuable tool in an era of large-scale parallel sequencing.

bioinformatics↗

bioRxiv2024

CRISPR-mediated chromosome deletion facilitates genetic mapping of Vip3Aa resistance gene within complex genomic region in an invasive global pest

Connecting genetic variation to phenotypes and understanding the underlying biological mechanisms has been a fundamental goal of biological genetics. Here, we used the association analysis to identify a Vip3Aa resistance-associated genomic region in a strain of fall armyworm, JC-R, which exhibits >5000-fold resistance to the Bt toxin Vip3Aa. However, through various analytical approaches and fine-scale mapping across different populations, we demonstrated that this genomic region exhibits strong genetic linkage. The chromosome-level genome of JC-R and its parent strain JC-S were assembled, and extensive structural variations in the linkage regions were identified, which could be responsible for maintaining the linkage. To identify the causal variation within this linked region, a chromosome fragment stepwise knockout strategy based on CRISPR/Cas9 was developed. By crossing with the resistant strain and phenotyping segregating offspring on Vip3Aa-containing diet, we identified a chromosomal segment, KO8, containing the resistant gene. Subsequently, we conducted a comprehensive analysis of the variations in the KO8 region using multi-omics approaches, including genomic data, RNA-seq, proteomic, PacBio long read Iso-seq, and phosphoproteomic data. This analysis identified multiple variations in the chitin synthase gene CHS2, including amino acid substitution, alternative splicing, and changes in phosphorylation sites. After knocking out the CHS2, larvae exhibited over 6777-fold resistance to Vip3Aa. These results demonstrate that the chromosome fragment stepwise knockout strategy is a viable approach for studying complex genomic regions, and highlight the value of comprehensive analysis of genetic variations using multi-omics data. The identified candidate gene could potentially advance monitoring and management of pest resistance to Vip3Aa.

genetics↗

bioRxiv2024

Structure of human PIEZO1 and its slow inactivating channelopathy mutants

PIEZO channels transmit mechanical force signals to cells, allowing them to make critical decisions during development and in pathophysiological conditions. Their fast/slow inactivation modes have been implicated in mechanopathologies, but remain poorly understood. Here, we report several near-atomic resolution cryo-EM structures of fast-inactivating wild-type human PIEZO1 (hPIEZO1) and its slow-inactivating channelopathy mutants with or without its auxiliary subunit MDFIC. Our results suggest that hPIEZO1 has a more flattened and extended architecture than curved mouse PIEZO1 (mPIEZO1). The multi-lipidated MDFIC subunits insert laterally into the hPIEZO1 pore module like mPIEZO1, resulting in a more curved and extended state. Interestingly, the high-resolution structures suggest that the pore lipids, which directly seal the central hydrophobic pore, may be involved in the rapid inactivation of hPIEZO1. While the severe hereditary erythrocytosis mutant R2456H significantly slows down the inactivation of hPIEZO1, the hPIEZO1-R2456H-MDFIC complex shows a more curved and contracted structure with an inner helix twist due to the broken link between the pore lipid and R2456H. These results suggest that the pore lipids may be involved in the mechanopathological rapid inactivation mechanism of PIEZO channels.

biochemistry↗

bioRxiv2024

VirID: Beyond Virus Discovery - An Integrated Platform for Comprehensive RNA Virus Characterization

RNA viruses exhibit vast phylogenetic diversity and can significantly impact public health and agriculture. However, current bioinformatics tools for viral discovery from metagenomic data frequently generate false positive virus results, overestimate viral diversity, and misclassify virus sequences. Additionally, current tools often fail to determine virus-host associations, which hampers investigation of the potential threat posed by a newly detected virus. To address these issues we developed VirID, a software tool specifically designed for the discovery and characterization of RNA viruses from metagenomic data. The basis of VirID is a comprehensive RNA-dependent RNA polymerase (RdRP) database to enhance a workflow that includes RNA virus discovery, phylogenetic analysis, and phylogeny-based virus characterization. Benchmark tests on a simulated data set demonstrated that VirID had high accuracy in profiling viruses and estimating viral richness. In evaluations with real-world samples, VirID was able to identity RNA viruses of all type, but also provided accurate estimations of viral genetic diversity and virus classification, as well as comprehensive insights into virus associations with humans, animals, and plants. VirID therefore offers a robust tool for virus discovery and serves as a valuable resource in basic virological studies, pathogen surveillance, and early warning systems for infectious disease outbreaks.

bioinformatics↗

bioRxiv2024

The effects of 17α-estradiol treatment on endocrine system revealed by single-nucleus transcriptomic sequencing of hypothalamus

In this study, we investigated 17-estradiols role in lifespan extension from long-term administration. Pooled hypothalami from aged male Norway brown rats treated with 17-estradiol (O.T), aged male controls (O), and young male controls (Y) underwent single-nucleus transcriptomic sequencing (snRNA-seq). To evaluate the effects of 17-estradiol on aging neurons, supervised clustering of neurons based on neuropeptides and their receptors were used to evaluate the responses of each neuron subtype during aging and after 17-estradiol treatment. The elevated cellular metabolism, stress and decreased expression levels of pathways involved in synapse formation in neurons initiated by aging were significantly attenuated by 17-estradiol. Assessment of changes in neuron populations showed that neurons related to food intake, reproduction, blood pressure, stress response, and electrolyte balance were sensitive to 17-estradiol treatment. 17-estradiol treatment not only increased serum Oxytocin (Oxt), but also heightened the activity of hypothalamic-pituitary-gonadal (HPG) axis, as evidenced by significantly elevated levels of plasma Gnrh, total testosterone, and decreased estradiol. Elevated Gnrh1 was confirmed to be one of the causal effects mediating the role of 17-estradiol in energy homeostasis, neural synapse, and stress response. Notably, Crh neurons exhibited prominent stressed phenotype in O.T, distinct to appetite-stimulating neurons Agrp and Ghrl. Therefore, the HPG axis and energy metabolism may be key targets of 17-estradiol in male hypothalamus. Additionally, supervised clustering of neurons was shown to be a useful method for assessing treatment responses and cellular perturbation among different neuron subtypes in the hypothalamus.

neuroscience↗

bioRxiv2024

Induction of a Muller glial-specific protective pathway safeguards the retina from diabetes induced damage

Diabetes can lead to cell-type-specific responses in the retina, including vascular lesions, glial dysfunction and neurodegeneration, all of which contribute to retinopathy. However, the molecular mechanisms underlying these cell type-specific responses, and the cell types that are sensitive to diabetes have not been fully elucidated. Employing single cell transcriptomic analyses, we profiled the transcriptional changes induced by diabetes in different retinal cell types in diabetic rat models as the disease progressed. Rod photoreceptors, a subtype of amacrine interneurons, and Muller glial cells exhibited rapid responses to diabetes at the transcript levels. Genes associated with ion regulation were upregulated in all three cell types, suggesting a common response to diabetes. Furthermore, focused studies revealed that while Muller glial cells initially increased the expression of genes playing protective roles, they cannot sustain this beneficial effect as the disease progressed. We explored one of the candidate protective genes, Zinc finger protein 36 homolog (Zfp36), and observed that depleting Zfp36 in rat Muller glial cells in vivo using AAV-based tools exacerbated early diabetes-induced phenotypes, including gliosis, neurodegeneration, and vascular defects. Notably, the over-expression of Zfp36 slowed the development of phenotypes associated with diabetic retinopathy. In summary, this work unveiled retinal cell types that are sensitive to diabetes and demonstrated that Muller glial cells can mount protective responses through Zfp36. The failure to maintain Zfp36 levels contributes to the development of diabetic retinopathy.

neuroscience↗

bioRxiv2024

LucaOne: Generalized Biological Foundation Model with Unified Nucleic Acid and Protein Language

AbstractThe language of biology, encoded in DNA, RNA, and proteins, forms the foundation of life but remains challenging to decode due to its complexity. Traditional computational methods often struggle to integrate information across these molecules, limiting a comprehensive understanding of biological systems. Advances in Natural Language Processing (NLP) with pre-trained models offer new possibilities for interpreting biological language. Here, we introduce LucaOne, a pre-trained foundation model trained on nucleic acid and protein sequences from 169,861 species. Through large-scale data integration and semisupervised learning, LucaOne demonstrates an understanding of key biological principles, such as DNA-Protein translation. Using few-shot learning, it effectively comprehends the central dogma of molecular biology and performs competitively on tasks involving DNA, RNA, or protein inputs. Our results highlight the potential of unified foundation models to address complex biological questions, providing an adaptable framework for bioinformatics research and enhancing the interpretation of lifes complexity.

bioinformatics↗

bioRxiv2024

Retrotransposon-mediated variation of a chitin synthase gene confers insect resistance to Bacillus thuringiensis Vip3Aa toxin

Bacillus thuringiensis (Bt) crops expressing Vip3Aa are highly efficacious in controlling major lepidopteran pests and delaying evolution of pest resistance. Although practical resistance to Vip3Aa in the field has not been reported, to proactively manage the pest resistance, there is an urgent need to better understand the genetic basis of resistance to Vip3Aa. This is particularly important for the fall armyworm (Spodoptera frugiperda), one of the most destructive pests around the world, which has evolved practical resistance to Bt crystal (Cry) toxins. Here, a highly Vip3Aa-resistant (resistance ratio: 5,562-fold) strain of S. frugiperda was selected in the laboratory. Results from bulked segregant analysis, fine-scale mapping, and genetic linkage analysis indicate that a mutation in the midgut-specific chitin synthase gene, SfCHS2, is strongly associated with high-level resistance to Vip3Aa. The resistance is ascribed to the transcriptional variation caused by retrotransposon insertion. The same variation of SfCHS2 was also detected in a field population. Importantly, knockout of SfCHS2 via CRISPR/Cas9 in susceptible S. frugiperda confers its complete resistance (>10,000-fold) to Vip3Aa. Also, we demonstrate that knockout of CHS2 can result in complete resistance to Vip3Aa in additional lepidopteran species, suggesting a general role of this gene in Vip3Aa resistance among lepidopteran pests. These results reported here would contribute to monitor and management of pest resistance to Vip3Aa.

genetics↗