Biology subjects

Li, C.

Publications and source records attributed to Li, C..

At least 199 records · Page 11Linked to original sources

bioRxiv2025

M1C is a druggable target for NSCLC KRAS G12C mutant tumors resistant to KRAS inhibitors

Treatment of NSCLC KRAS G12C mutant tumors with the allele-selective sotorasib inhibitor is invariably associated with acquired resistance. The MUC1-encoded oncogenic M1C protein is necessary for self-renewal of NSCLC KRAS mutant cells. We report that treatment of NSCLC KRAS G12C cells with sotorasib induces M1C expression by a STAT1-dependent pathway. In turn, M1C drives sotorasib resistance by NF-{kappa}B-mediated induction of the epithelial-mesenchymal transition (EMT). Targeting M1C(R)NF-{kappa}B signaling (i) suppresses EMT, and (ii) reverses sotorasib resistance. Of translational relevance, treatment with a M1C antibody-drug conjugate (ADC) is effective against sotorasib-resistant NSCLC KRAS G12C cell line and patient-derived tumor xenografts. Clinically, targeted treatment of patients with NSCLC KRAS G12C tumors overexpressing MUC1 associates with decreases in overall survival. These findings identify M1C as a key effector of sotorasib resistance and as a target for treatment of patients with refractory NSCLC KRAS G12C mutant tumors.

cancer biology↗

bioRxiv2025

Phylogenomics of Rhinogobius gobies reveal northern-southern divergence and trait evolution in China

The goby genus Rhinogobius represents a prominent radiation of freshwater fishes in East Asia, with China serving as its evolutionary hotspot harboring over 39 endemic species. Despite their ecological dominance in riverine ecosystems, phylogenetic relationships among mainland Chinese Rhinogobius species remain poorly resolved due to limited sampling and morphological conservatism, particularly in meristic traits traditionally used for classification. To address these knowledge gaps, we employed a nuclear gene enrichment approach to target 4,434 single-copy nuclear loci across 26 species spanning all major river basins in eastern and southern China. Our phylogenomic analyses based on sequence of 2,137 cleaned-up loci (477,822 bp) recovered a robust topology dividing Rhinogobius into three primary lineages: an early-diverging of R. similis sister to two major clades, the northern vs. southern clades exhibiting strong geographic structuring. Fossil-calibrated molecular dating placed the crown age of Rhinogobius at [~]9.33 million years ago (Ma) during the late Miocene, with a pivotal north-south divergence at [~]5.96 Ma coinciding with major paleo-drainage reorganizations in East Asia. Ancestral state reconstruction revealed that the southern clade uniquely evolved unstable first dorsal fin formula and near-universal presence of predorsal scales. By integrating the most extensive geographic and taxonomic sampling to date with phylogenomic data, this study establishes: (1) a revised evolutionary timeline for Rhinogobius diversification linked to East Asian geomorphological history, (2) diagnostic morphological characters for major clades, and (3) a robust phylogenetic framework to guide future taxonomic revisions and conservation efforts for this ecologically significant group. HighlightsO_LIPhylogenomics resolves north/south split in Chinese Rhinogobius gobies. C_LIO_LIFossil-dated 9.3 MYA origin of Rhinogobius and rapid divergence at 5.96 MYA. C_LIO_LISouthern lineages exhibit more predorsal scales and unstable first dorsal fin formula. C_LIO_LIFirst genomic backbone for species revision and adaptation study. C_LI

zoology↗

bioRxiv2025

Preserved Neural Dynamics across Arm- and Brain-controlled Movements

The neural activity for motor control is complex and dynamic; it has been found to dramatically transit from planning to executing movements. As brain-machine interfaces (BMIs) can directly connect the brain and the external world by yielding comparable motor outcomes with artificial apparatus, a central question is whether the BMI-controlled movements share neural dynamics or underlying mechanism with natural movements. To enable a systematic comparison, we developed a feedforward BMI framework with distinct planning and executing epochs that enables ballistic cursor control to intercept moving targets. This BMI allowed monkeys to voluntarily initiate neural states which controlled the direction and timing to launch a ballistic movement, like skeet shooting. Based on this, we found similar neural representations and computational structures across arm- and brain-controlled conditions. Notably, in addition to resembling the rotational structure in natural reaching, the neural population dynamics during open-loop BMI also shared preserved manifolds with those during reaching arm movements. These findings suggest a fundamental principle, and reveal a set of basic computational motifs for the neural control of movement in an abstract hierarchy in the absence of constraints from actuators. This study thus has the potential to reshape the consideration of how BMIs assist paralyzed patients in interacting with dynamic environments, and to promote next-generation BMI systems.

neuroscience↗

bioRxiv2025

Ethylene signal-driven plant-multitrophic synergy boosts crop performance

Efficient nutrient use in agriculture depends on the dynamic interplay between plant roots, soil, and microbial communities. The root-rhizosphere interface is central to nutrient uptake and serves as a key hub for interactions with beneficial microbes. Arbuscular mycorrhizal (AM) fungi, positioned at the nexus between plant roots and soil microbiota, play a critical role in enhancing crop performance under nutrient-limited conditions. In this study, we dissected the genetic and molecular basis of AM fungi-induced lateral root development in maize (Zea mays), focusing on the role of ethylene-responsive transcription factors (ERFs). We identified ERF genes as essential regulators of pericycle cell division, acting downstream of ethylene biosynthesis genes (ACS6 and ACS7) and AM fungal signaling. Our findings reveal that AM fungi promote lateral root initiation by activating ERF expression and reprogramming flavonoid metabolism, particularly reducing the accumulation of flavonols such as kaempferol and quercetin, which otherwise inhibit root development when over-accumulated. Furthermore, we demonstrated that Massilia, a beneficial rhizobacterium, synergizes with AM fungi to enhance lateral root formation by colonizing fungal hyphae, degrading flavonoids, and contributing to auxin production. Together, our results uncover a tripartite signaling network linking ethylene signaling, flavonoid-mediated microbial recruitment, and AM symbiosis. This study highlights ERFs as central integrators of plant-microbe interactions and provides a molecular framework for engineering root architecture and microbiome assembly to improve nutrient acquisition and support sustainable crop productivity.

plant biology↗

bioRxiv2025

Molecular evolution of CO2-sensing ab1C neurons underlies divergent sensory responses in the Drosophila suzukii species group

Organisms evolve behavioral and morphological traits to adapt to their ecological niches, yet the genetic basis of adaptation remains largely unknown. Drosophila suzukii has evolved a distinctive oviposition preference for ripe fruit, unlike most Drosophila species such as D. melanogaster, which prefer overripe fruit. Carbon dioxide (CO2), a metabolic volatile that increases as fruit ripens and decays, may act as a critical ecological cue shaping these preferences. Here, we focus on D. suzukii and its sister species D. subpulchrella, which shows an intermediate preference, to investigate the genetic basis of CO2 responses. We report a previously unrecognized shift in CO2-guided oviposition: D. suzukii and D. subpulchrella readily lay eggs on CO2-enriched substrates, unlike the strong aversion displayed by D. melanogaster. Electrophysiological recordings revealed a species-specific sensory tuning, characterized by an early spike in CO2-evoked neuronal firing in D. suzukii and D. subpulchrella--a temporal response feature absent in D. melanogaster. To dissect the genetic basis of this shift, we generated transgenic D. melanogaster expressing either the D. suzukii Gr63a coding sequence or the D. subpulchrella Gr63a cis-regulatory element. Remarkably, both manipulations reproduced the early onset firing pattern of CO2 sensitivity, demonstrating that either receptor function or expression can independently drive this sensitivity adaptation. Our findings reveal that evolution can shape ecological adaptation through distinct genetic mechanisms, leading to convergent physiological traits among closely related species. Author SummaryAnimals rely on their senses to locate food sources and identify suitable reproductive sites in their environment. Closely related species can evolve strikingly different preferences as they adapt to new environments. For example, the invasive fruit fly D. suzukii lays its eggs in ripe fruit, unlike most other fruit flies, such as D. melanogaster, which prefer decaying fruit. Because CO2 levels increase as fruit ripens and ferments, changes in how flies detect CO2 may have contributed to these ecological differences. We compared CO2 responses between D. suzukii and its sister species D. subpulchrella, and found that both species respond to CO2 differently from D. melanogaster: both in their oviposition preferences and neural CO2 sensitivity. By introducing either the D. subpulchrella or D. suzukii CO2 receptor gene coding sequences or regulatory regions into D. melanogaster, we found that this altered sensitivity can arise from changes either in the receptors protein-coding region or in the DNA elements that control its expression. Our results show that evolution can act through multiple genetic mechanisms to fine-tune sensory systems, revealing how subtle molecular changes can generate ecological diversity among closely related species.

evolutionary biology↗

bioRxiv2025

Neonatal Platelets Differentiate Monocytes to a Myeloid Derived Suppressor Cell Phenotype

Adult platelets are relatively enriched in immune related molecules compared to neonatal platelets, but neonatal platelets express some growth factors and enzymes at comparatively higher levels. This makes a prediction of platelet-immune cell interaction outcomes in neonates a challenge, as they are likely dependent on the cell type and tissue environment at the time of injury or infection. Our past studies revealed that the transfusion of adult but not neonatal platelets into thrombocytopenic neonatal mice led to an acute increase in monocyte trafficking. We have now found that neonatal, but not adult platelets, induce monocytes to a Myeloid Derived Suppressor Cell (MDSC) phenotype, typified by increased PD-L1, that limits T-cell activation in vitro and in vivo. Monocytes prior incubated with neonatal, but not adult platelets, or platelet releasates, limited T-cell activation in vitro. Using an in vivo asthma-like model we also found that the treatment of mice with monocytes prior incubated with neonatal platelet releasates limited T-cell activation in a asthma-like model. Platelet-driven effects were dependent on neonatal platelets producing more PGE2 that signaled through monocyte EP4. These studies indicate that neonatal platelets have immune limiting roles in the post-natal period by indirectly limiting T-cell responses, perhaps contributing to the adverse outcomes of platelet transfusions to neonates.

immunology↗

bioRxiv2025

A cross-species spatial transcriptomic atlas of the human and non-human primate basal ganglia

The basal ganglia are interconnected subcortical nuclei with complex topographical organization that orchestrate goal-directed behaviors and are implicated in neurodegenerative movement disorders. We generated a cellular-resolution, spatial transcriptomic atlas of the basal ganglia in human, rhesus macaque, and common marmoset, sampling over one million cells in each species. By integrating spatial data with a cross-species, consensus snRNA-seq cell type taxonomy, this atlas reveals conserved principles of molecular organization within and across structures. The cellular architecture is complex but highly stereotyped, with gene expression gradients superimposed onto discrete compartments. Extensive spatial sampling illuminates 3D gradients of molecular organization in the striatum and reveals cell type-specific core and shell compartments in the primate internal globus pallidus, which is conserved with mouse. This unified, cross-species spatial transcriptomic atlas will be a foundational resource for characterizing the molecular and functional organization of the basal ganglia and their roles in health and disease.

neuroscience↗

bioRxiv2025

Spatial patterning of transcriptional and regulatory programs in the primate subcortex

Mammalian brain cell identity is shaped by intrinsic factors and external context. We present a spatially resolved transcriptomic and gene regulatory atlas of cell types across all subcortical regions in a primate, the common marmoset. Dense sampling and cross-species integration revealed spatially precise neuronal assemblies, including in complex midbrain and diencephalic structures. Chromatin accessibility and transcriptional identity are spatially tuned within and across subcortical structures; spatial gradients within hippocampal subfields are orchestrated by graded transcription factors acting through graded enhancers. The primate-expanded thalamic GABAergic population shares transcriptional and regulatory syntax with conserved midbrain populations, reflecting an evolutionary adaptation compared with rodents. Similar regional expression across cell types can arise by distinct regulatory architectures, as for telencephalic astrocytes and neurons. Conversely, distant cell types can share regulatory programs despite divergent identities: striatal GABAergic medium spiny neurons and telencephalic glutamatergic neurons share a postsynaptic regulatory program despite divergent lineage, region, and neurotransmitter identity.

neuroscience↗

bioRxiv2025

A programmable mRNA platform for miRNA detection via miRNA-mRNA2 triplex-mediated ribosomal frameshifting

Programmed -1 ribosomal frameshifting (-1 PRF) is a recoding mechanism utilized by viruses to expand their coding capacity and modulate the stoichiometric ratio of -1 frame and 0 frame translation products. The stability of mRNA secondary structure at the ribosomal entry site within the frameshifting stimulating elements (FSEs) determines the frameshifting efficiency. Here, we report the development of a programmable mRNA-based platform that detects specific mature microRNA (miRNA or miR) by converting their presence into a quantifiable protein output through miRNA-triggered -1 PRF. We designed a triplex-forming mRNA (TF-mRNA) platform to selectively trap target miRNAs through the formation of major-groove mRNA-miRNA-mRNA (miR-mRNA2) triplexes. Bio-layer interferometry and fluorescence binding studies confirmed that TF-mRNA forms stable complexes with cognate miRNAs with low nanomolar affinity and prolonged dissociation rate. Critically, the formation of miR-mRNA2 triplex robustly stimulated ribosomal frameshifting in a cell-free dual-luciferase translation system, acting as a miRNA-dependent molecular switch. The generality of this TF-mRNA platform has been verified for several disease-associated purine-rich miRNAs, and it is suitable for targeting a wide range of other purine-enriched miRNAs. This programmable TF-mRNA platform establishes a foundation for developing novel diagnostic tools and synthetic biology circuits that convert the presence of miRNA into a quantifiable protein output. TOC Figure O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=106 SRC="FIGDIR/small/690164v1_ufig1.gif" ALT="Figure 1"> View larger version (22K): org.highwire.dtl.DTLVardef@1d6d9f7org.highwire.dtl.DTLVardef@8008e6org.highwire.dtl.DTLVardef@1c8344borg.highwire.dtl.DTLVardef@e153ec_HPS_FORMAT_FIGEXP M_FIG C_FIG

synthetic biology↗

bioRxiv2025

Causality-oriented regulatory inference and rational transcriptomic reprogramming design with CASCADE

Systematically elucidating the causal structure of gene expression regulation is the foundation for identifying key regulators of cellular function and designing rational interventions thereof. While advances in high-content perturbation screens enables experimental probing of causal regulatory effects, the massive genomic scale, measurement noise and confounding factors pose significant challenges for existing causal discovery and inference algorithms. Here, we present CASCADE, an end-to-end framework that integrates de novo causal discovery with prior regulatory knowledge for genome-wide causal discovery and inference. In addition to its superior performance on causal regulatory structure discovery and counterfactual inference for unseen perturbation effects, CASCADE enables, for the first time, causality-oriented rational intervention design for transcriptomic programming towards various targeted cells within a unified framework.

bioinformatics↗

bioRxiv2025

Decrypting cellular engagement and recruitment from spatially resolved transcriptomics

The recruitment of the various types of cells into the tissue microenvironment and how these cells engage with other cells in the tissue sites play critical biological roles. However, it is difficult to study these processes on a genome-wide scale using traditional low-throughput experiments. To address this gap, we developed a fully interpretable multi-instance deep learner, coined "spacer". Spacer digests the transcriptomics and spatial modalities of spatially resolved transcriptomics (SRT) data in alignment with the biological principles of the tissue spatial architecture. We deployed spacer to a panel of 17 high definition and 20 low definition SRT datasets, for studying how stromal and immune cells were recruited into tumors and heart during myocarditis. Spacer discovered novel biological insights not affordable by prior spatial data analysis tools, which were validated by orthogonal immuno-peptidomics, spatial T cell receptor (TCR) sequencing, and single cell sequencing experiments. We discovered genes that encode more immunogenic peptides and that are involved in developmental pathways are more potent in recruiting T cells to local tumor sites, while the recruitment of B cells and macrophages is stipulated by a different molecular program. On the other hand, expression of mucins in the tumor cells was found to repel T cell localization. For the engaging cell side, we also uncovered T cell-intrinsic features that determine their localization, validated by spatial-TCR-seq data. Spacer also unexpectedly revealed that CD4+ T cells, though fewer in numbers, are more responsive than CD8+ T cells in the heart during myocarditis. Collectively, this study establishes a new spatially resolved paradigm for studying cellular localization mechanisms in situ and shifts the paradigm from descriptive mapping to mechanistic discovery.

bioinformatics↗

bioRxiv2025

In vitro Isolation and Identification of Metarhizium pinghaense Isolates and Assessment of Their Virulence against Whiteflies and Aphids

Four entomopathogenic fungal isolates were obtained from soil samples collected in Shouguang City, Shandong Province, using yellow mealworms as the baits. The result derived from the morphological and molecular identification of and assessment of the virulence against whiteflies (Bemisia tabaci) and the 4th instar aphids (Aphis gossypii) confirmed all four isolates as Metarhizium pinghaense, named SG-A, SG-B, SG-C, and SG-D, respectively. they were able to infect B. tabaci and A. gossypii with some differences in virulence and parasitic duration. The cumulative corrected mortality rates of B. tabaci and A. gossypii treated with the SG-A spore suspension (1x108 conidia/ml.) were 94.44% and 96.67%, respectively in 8 days after inoculation. The LC50 and LT50 of SG-A against B. tabaci and A. gossypii were 7.00x104, 4.21x105 (conidia/ml), 4.13 and 2.61 (days) respectively. Moreover, SG-C was more pathogenic to B. tabaci than to A. gossypii, but SG-B and SG-D were less virulent to both insects. In conclusion, M. pinghaense SG-A is highly pathogenic and greatly lethal against both A. gossypii and B. tabaci and should be used as a potential biocontrol agent to control whiteflies and aphids at their nymph stage during the vegetable production season.

microbiology↗

bioRxiv2025

A deep learning framework for building INDEL mutation rate maps

Germline short insertions and deletions (INDELs) are pervasive genetic variants that shape genome evolution and contribute to human disease. However, accurately quantifying fine-scale INDEL mutation rates remains challenging due to data limitations and the diversity of INDEL subtypes. Here, we present MuRaL-indel, a deep learning framework that predicts germline INDEL mutation rates by leveraging long-range sequence context through a U-Net architecture. Using extensive rare variant data from large population cohorts, MuRaL-indel generates base-resolution, length-specific mutation rate maps for the human genome and achieves superior accuracy compared with existing models across multiple genomic scales. We successfully apply MuRaL-indel to three non-human species (Macaca mulatta, Drosophila melanogaster, and Arabidopsis thaliana), demonstrating its broad applicability across taxa. Using the predicted mutation rate maps, we reveal the mutational landscape around human coding genes and show that MuRaL-indel-derived constraint scores better prioritize pathogenic INDELs than previous models. Through deep learning interpretability analyses, we uncovered sequence motifs--including both repeat and non-repeat elements--associated with elevated INDEL mutability, providing insights into underlying mutational mechanisms. Together, MuRaL-indel establishes a generalizable and scalable framework for building high-resolution INDEL mutation rate maps, offering a valuable resource for studies of genome evolution, mutational mechanism, variant interpretation, and genetic disease.

genomics↗

bioRxiv2025

Ion-Pair-Free Nanoflow HILIC-MS With RNase Benchmarking for Native RNA

RNA modifications play crucial roles in regulating cellular processes, but comprehensive mapping of the human RNome still remains limited by technological challenges. Mass spectrometry (MS) is a valuable tool to analyse RNA modifications complementing sequencing-based analysis. Current MS-based oligonucleotide workflows have limited sensitivity, requiring micrograms of RNA inputs and thus hindering studies on native RNAs. Additionally, environmentally toxic ion-pairing reagents are often required. Here, we report a highly sensitive, broadly applicable oligonucleotide-MS workflow that enables analysis of nanogram-scale RNA hydrolysates and we benchmark the substrate specificity of three nucleases: RNase T1, RNase 4, and colicin E5. We developed a nano-flow hydrophilic interaction liquid chromatography (HILIC) setup compatible with common MS buffers and coupled this with high-resolution MS. Using modified NucleicAcidSearchEngine (NASE), we confidently assigned RNA hydrolysates with diverse 3-end chemistries. Furthermore, we demonstrate that RNase 4 and colicin E5 efficiently cleave modified RNAs including pseudouridine-containing transcripts, enabling high sequence coverages. Using this workflow, we successfully mapped modifications in 25 ng of native yeast tRNAPhe and verified the sequence of 250 ng of a synthetic mRNA. Overall, our method provides a sensitive, high-resolution platform for oligonucleotide mass spectrometry, facilitating comprehensive analysis of RNA modifications and advancing efforts toward complete epitranscriptomic mapping. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=58 SRC="FIGDIR/small/689004v1_ufig1.gif" ALT="Figure 1"> View larger version (16K): org.highwire.dtl.DTLVardef@ed3dc3org.highwire.dtl.DTLVardef@171d3d6org.highwire.dtl.DTLVardef@a9ce2org.highwire.dtl.DTLVardef@c1d940_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

bioRxiv2025

Unified modeling of cellular responses to diverse perturbation types

Cells respond to diverse external interventions through shared regulatory mechanisms, suggesting that diverse interventions may be amenable to unified computational modeling. In practice, however, these responses are profiled across highly heterogeneous experimental settings, including distinct perturbation modalities, dosages, combinations, and cellular contexts. As a result, most computational models remain narrowly tailored to a single perturbation modality or experimental setting. They are difficult to extend to new cell types or perturbation types for which limited training data are available, and offer limited capacity to reuse information across heterogeneous perturbation datasets. Here, we introduce X-Pert, a general perturbation modeling framework that jointly represents external interventions and cellular contexts within a unified multimodal architecture. X-Pert adopts a mechanism-aligned design that explicitly models gene-perturbation interactions together with gene-gene dependencies through dedicated attention mechanisms, enabling the unified handling of heterogeneous experimental settings. Across benchmarks involving both genetic and chemical perturbations, X-Pert consistently outperforms existing methods under conventional accuracy metrics as well as biology-aware evaluations. Importantly, X-Pert exhibits strong generalization across cell types and supports joint learning across perturbation types. The unified latent space learned by X-Pert further enables downstream analyses such as perturbation retrieval and drug-gene association discovery, facilitating the prioritization of candidate gene inhibitors and the identification of anti-cancer compounds. Together, X-Pert establishes a versatile and generalizable foundation for perturbation modeling and predictive virtual cells, with broad applications in biomedical research and therapeutic discovery.

bioinformatics↗

bioRxiv2025

Mineral guided molecular enrichment: An interfacial driving force for protocell emergence on early Earth

The emergence of protocells from a dilute prebiotic environment is a fundamental challenge in origins-of-life research. which requires the simultaneous overcoming of molecular dilution, the establishment of metabolic cycles and the formation of selectively permeable compartments. But where and how such critical conditions are satisfied is very obscure and debated. We demonstrate, using contemporary model proteins and enzymatic systems, that mineral surfaces can facilitate the co-adsorption and spatial arrangement of nucleotides, proteins, and lipids into locally enriched, protocell-like assemblies under the examined laboratory conditions. We showed that geochemically relevant minerals efficiently co-adsorb and colocalize diverse biomolecules, creating crowded interfacial microenvironments that support enzyme cascades with substrate channeling-like behavior. Subsequently, these mineral-protein complexes template the assembly of lipid membranes, leading to the formation of discrete compartments that maintain metabolic activity while permitting molecular exchange. This mineral-guided surface enrichment (MSE) mechanism integrates key aspects of "metabolism-first" and "membrane-first" scenarios into a unified pathway, reconciling long-standing conceptual divides in prebiotic chemistry. Our findings establish mineral interfaces as active organizers of protocell emergence, offering a geochemically plausible framework for the origin of cellular life.

evolutionary biology↗

bioRxiv2025

MicroRNA156 and its targeted SPL genes interact with the photoperiod, vernalization, and gibberellin pathways to regulate wheat heading time

Heading time has a large impact on adaptation to different environments and crop productivity. In this study, we characterized the effect of the endogenous age pathway on heading time and its interactions with the photoperiod and vernalization pathways in the leaves of tetraploid wheat (Triticum turgidum ssp. durum). Plants with reduced levels of microRNA156 or increased expression of its downstream targets, the SQUAMOSA PROMOTER BINDING PROTEIN-LIKE genes SPL3, SPL4, and SPL13 exhibited accelerated heading time, with stronger effects under suboptimal inductive conditions. Earlier heading was associated with the upregulation of miR172 and flowering-promoting genes VRN1, FUL2, and FT1 and the downregulation of flowering-repressing genes AP2L1 and VRN2. Additionally, we uncovered complex interactions among SPL, SQUAMOSA (VRN1 and FUL2) and DELLA proteins that modulate wheat heading time. We showed that DELLA proteins, which are negative regulators in the gibberellic acid pathway, can interact with SPL proteins reducing their ability to induce flowering. We also discovered previously unknown interactions between SQUAMOSA and DELLA proteins in wheat that compete with the DELLA-SPL interactions, likely reducing DELLAs ability to repress SPL3 and SPL4 activity. Since SPL3 and SPL4 directly promote VRN1 and FUL2 transcription, these interactions generate a positive regulatory feedback loop that accelerates wheat heading time. Finally, we developed dominant miR156-resistant alleles rSPL3, rSPL4, and rSPL13 that accelerate wheat heading time under both optimal and suboptimal inductive conditions. These publicly available genetic resources can be used to fine tune heading time and improve wheat adaptation to changing environments. Significance statementWheat heading time is critical for adaptation to diverse environments. We generated dominant mutations for the SPL3, SPL4 and SPL13 genes that accelerate heading time. Different combinations of these mutations can be used to modulate heading time and improve wheat adaptation to changing environments.

plant biology↗

bioRxiv2025

A multi-tissue atlas of genetic regulatory effects in sheep

Characterizing the impact of genomic variants on genome function and ultimately complex traits in livestock is essential for the development of sustainable precision agriculture and comparative genomics. Here, as part of the Farm animal Genotype-Tissue Expression (FarmGTEx) project, we present the pilot phase of the SheepGTEx resource through analyzing 6,761 RNA-sequencing samples of 51 primary tissues in a multi-breed population of sheep. We identify millions of regulatory variants associated with seven types of molecular phenotypes, and fine-map 322,468 primary and 114,017 non-primary effects, revealing a high degree of regulatory allelic heterogeneity. We systematically characterize the pleiotropic effects of these variants on molecular phenotypes, assess their context-specific regulatory patterns across tissues, breeds, sexes, and developmental stages, as well as explore their evolutionary constraints across mammals. Finally, we demonstrate the substantial potential of the SheepGTEx resource (https://sheepgtex.farmgtex.org), by providing examples of regulatory mechanisms underpinning 34 complex traits, population divergence between European and Asian breeds, and adaptive evolution in sheep over the past ten millennia.

genomics↗