Biology subjects

Ali, Z.

Publications and source records attributed to Ali, Z..

At least 19 recordsLinked to original sources

bioRxiv2026

Multimodal single cell analysis reveals a link between flowering and leaf initiation

Zea mays (maize) flowering time is genetically determined and a critical yield determinant. Yet mechanistic understanding of maize flowering remains poor. Indeterminate1 (Id1), a zinc-finger transcription factor (TF), is a monocot-conserved master regulator of maize flowering. Epistasis between Id1 and the ZeaCentroradialis-Delayed Flowering1 (Zcn-Dlf1) inductive pathway partly explains ID1 floral control; however, the strong mutant id1- floral delay is not explained by this pathway alone. To better characterize Id1 actions, we performed single-cell assay for transposase-accessible chromatin and single nucleus RNA sequencing (scATAC-seq and snRNA-seq) comparing Id1+ and id1- developing leaves. These analyses reveal id1- chromatin remodeling via TEOSINTE BRANCHED1 CYCLOIDEA PROLIFERATING CELL FACTOR (TCP) and APETALA2/ETHYLENE RESPONSEFACTOR (AP2/ERF) transcription factors and provide candidate direct targets that include AP2/ERF genes. These candidate direct targets include the family of {beta}-glucosidase genes that lose expression in id1-. Unexpectedly, CRISPR/Cas9 {beta}-glucosidase edits produced plants that phenocopied terminal ear1- (te1-) mutants. This phenocopy prompted an investigation into the genetic relationship between id1-, te1- and flowering. Surprisingly, id1- te1- plants exhibited a synergistic floral delay, producing ~90 leaves before inflorescence production. Beyond highlighting hitherto unappreciated Te1 autonomous flowering roles, this genetic synergy raises the hypothesis that meristem leaf primordia cessation underpins maize flowering.

plant biology↗

bioRxiv2026

BloodVariome: a high-resolution atlas of inherited genetic effects in human immune cells

Genome-wide association studies have linked thousands of sequence variants to immune-mediated diseases, yet their cellular mechanisms remain largely unresolved. Here we present BloodVariome, a high-resolution atlas of genetic effects across the human immune cell hierarchy. Combining deep immunophenotyping with automated pattern-recognition, we quantified 1,533 traits across 127 immune cell populations in 11,983 individuals. We identified 259 significant associations, the vast majority of which are not captured by conventional bulk blood trait studies. Most associations were restricted to single immune lineages or cell populations, revealing a fine-grained genetic compartmentalization of the immune system. By linking known disease risk alleles to specific immune cell phenotypes, BloodVariome illuminates cellular mechanisms underlying autoimmunity, immunodeficiency, and hematologic malignancy. Moreover, we implicate novel regulators of human immune cell development and function. By bridging the gap between cohort size and phenotypic depth, BloodVariome establishes a high-resolution framework for interpreting how genetic variation shapes cellular immunity at population-scale.

genomics↗

bioRxiv2026

Population-scale immunoglobulin genetics resolves the human B-cell system

Immunoglobulins (Ig) mediate adaptive humoral immunity, yet the regulation of B-cell responses in vivo in humans remains inaccessible to direct experimentation. Here we use population-scale Ig genetics to resolve molecular regulation of the human B-cell system. Analysis of circulating IgA, IgG, IgM, and six composite Ig traits in 114,697 individuals identifies 504 genetic associations. Integration with regulatory genomics, plasma proteomics, and immunophenotyping maps these effects across the B-cell hierarchy, recovering known regulators and revealing previously unrecognized genes in humoral immunity. At key control nodes - including Fc{gamma} receptors, the immunoglobulin heavy-chain locus and the TACI-APRIL signaling axis - variants form allelic series generating graded perturbations of antibody output. Ig-associated loci show extensive overlap with autoimmunity, immunodeficiency and B-cell malignancy. These findings demonstrate that Ig traits, analyzed at population scale, encode fine-grained information about the regulation of the human B-cell system and link natural variation in humoral immunity to immune-mediated disease.

genomics↗

bioRxiv2025

Identification and Development of Functional Markers Associated with Triple Pistil Phenotype in Wheat

Triple pistil (TP) wheat is a historical genetic resource capable of producing up to three grains in a single floret and bolstering the current stagnant grain yield potential. TP phenotype is speculated to be the result of a spontaneous mutation; however, the exact underling genetic mechanism remains elusive, with lack of functional markers for early generation trait selection in hybrid wheat breeding programs. Here, scanning electron microscopy highlighted clear developmental differences between single and triple pistil plants started to arise during 1-2 cm long young spike stages. Using a forward genetics approach, we identified consistent TP-associated mutations in two genes (TraesCS2D02G490900 and TraesCS2D02G491600) exhibiting a nearly complete co-segregation with TP phenotype and developed functional markers for early generation trait selection. CRISPR-Cas9 mediated gene-editing of TraesCS2D02G490900 shifted grain set toward single-grain florets in one edited line in transgenic wheat plants. Furthermore, grain yield evaluation exhibited a significant increase in grains per spike, with no statistically significant reduction in grain weight per spike. Hybrids between common and TP wheat exhibited relatively higher yields, highlighting TP wheat as a significant donor to fortify grain yield potential. This study provides co-dominant functional markers for early generation TP trait selection and valuable targets for hybrid wheat breeding programs.

plant biology↗

bioRxiv2025

Evaluating the impact of two different diets on the protein profile expression of the brain, liver, and intestine of barramundi

AbstractCommercial feed formulations are increasingly being evaluated for their nutritional impacts on aquaculture species, yet the molecular consequences of commonly used commercial diets remain underexplored. This study investigated the effects of two commercial diets, diet A (higher land animal protein) and diet B (higher fish meal content), on protein expression in the brain, liver, and intestine of barramundi (Lates calcarifer). A 12-week feeding trial was conducted with controlled water quality, and proteomic profiling was performed using data-independent acquisition. Differential analysis revealed consistent changes between diets across all tissues, with a higher percentage of differentially abundant proteins observed in between-diet comparisons (12.99% in brain, 12.73% in liver, and 16.59% in intestine) than within-diet controls (<8%), confirming a measurable dietary effect size. In total, 3,901 proteins in the brain, 3,660 in the liver, and 5,025 in the intestine were quantified. Functional enrichment highlighted upregulation of ferroptosis pathways, downregulation of apelin signaling in the brain, and increased digestive proteases in the liver. ICP-MS confirmed elevated iron concentrations in the brain, liver and intestine of fish fed on diet B. These findings demonstrate that molecular pathways linked to iron metabolism, digestion, and growth regulation are very sensitive to dietary composition, highlighting how proteomics can help identify subtle impacts of compositional differences in aquaculture feeding. Despite the absence of significant differences in physiological parameters, the proteomic alterations observed across tissues likely represent adaptive metabolic adjustments of each organ to the varying nutrient availability between diets.

biochemistry↗

bioRxiv2025

A First-in-Class Therapy Targeting Transcription-Replication Conflicts Drives Synthetic Lethality in Homologous Recombination Deficient Cancers

Hidden beneath the layer of tumor malignancy lies unchecked proliferation driven by hyperactive transcription, which fosters the formation of RNA:DNA hybrids. These structural intermediates precipitate collisions between the transcription and replication machineries. Central to mitigating this genomic threat is interleukin enhancer-binding factor 2 (ILF2), which orchestrates the recruitment of RNA:DNA helicases to resolve R-loops and, in doing so, reveals cancer cells dependency on stress-mitigating mechanisms to avert genome catastrophe. Our discovery of Molephantin and its lead derivative, NYH0002 is the outcome of delineating ILF2s function. NYH002 exerts direct binding to the ILF2 complex and disrupts RNA:DNA helicase activity to elicit genome-wide DNA breakages. Tumors with elevated cyclin E and E2F1 expression are sensitive to NYH002, while those deficient in homologous recombination repair exhibit lethality. Collectively, these findings position ILF2 as a key regulator of R-loop homeostasis and reveal a therapeutic vulnerability that NYH002 exploits to suppress tumor malignancy.

cancer biology↗

bioRxiv2025

Spatial Richness of Neural Magnetic Fields

Brain implants that measure neural magnetic fields, rather than electrical potentials, are expected to confer significant clinical advantages related to implant longevity and signal fidelity due to the elimination of the electrode-tissue interface. However, the informational differences between neural electrical potentials and magnetic fields remain poorly understood. Using a mathematical formalism based on neuronal current sources, we directly establish the complementary informational content of extracellular magnetic fields and electrical potentials. We then use computational modeling to illustrate how dense networks of neurons are easier to distinguish and spike sort on the basis of their magnetic, rather than electrical, spike templates. Lastly, we show how the solenoidal nature of neural magnetic fields facilitates approximate morphological reconstruction, even with sparse sensor arrays. Our findings highlight the unique experimental advantages of neural magnetic field sensing, motivating the development of compact, low-noise devices capable of meeting the stringent sensitivity requirements for single-shot cortical recordings.

neuroscience↗

bioRxiv2024

Comparative transcriptomics in ferns reveals key innovations and divergent evolution of secondary cell wall

Despite ferns being crucial to understanding plant evolution, their large and complex genomes has kept their genetic landscape largely uncharted, with only a handful of genomes sequenced and sparse transcriptomic data. Addressing this gap, we generated extensive RNA-sequencing data for multiple organs across 22 representative species over the fern phylogeny, assembling high-quality transcriptomes. These data facilitated the construction of a time-calibrated fern phylogeny covering all major clades, revealing numerous whole-genome duplications and highlighting the uniqueness of fern genetics, with half of the uncovered gene families being fern-specific. Our investigation into fern cell walls through biochemical and immunological analyses identified occurrences of the lignin syringyl unit and its independent evolution in ferns. Moreover, the discovery of an unusual sugar in fern cell walls hints at a divergent evolutionary path in cell wall biochemistry, potentially driven by gene duplication and sub-functionalization. We provide an online database preloaded with genomic and transcriptomic data for ferns and other land plants, which we used to identify an independent evolution of lignocellulosic gene modules in ferns. Our data provide a framework for the unique evolutionary path that ferns have navigated since they split from the last common ancestor of euphyllophytes more than 360 million years ago.

plant biology↗

bioRxiv2023

TDP-43-M323K causes abnormal brain development and progressive cognitive and motor deficits associated with mislocalised and increased levels of TDP-43.

TDP-43 pathology is found in several neurodegenerative disorders, collectively referred to as "TDP-43 proteinopathies". Aggregates of TDP-43 are present in the brains and spinal cords of >97% of amyotrophic lateral sclerosis (ALS), and in brains of [~]50% of frontotemporal dementia (FTD) patients. While mutations in the TDP-43 gene (TARDBP) are usually associated with ALS, many clinical reports have linked these mutations to cognitive impairments and/or FTD, but also to other neurodegenerative disorders including Parkinsonism (PD) or progressive supranuclear palsy (PSP). TDP-43 is a ubiquitously expressed, highly conserved RNA-binding protein that is involved in many cellular processes, mainly RNA metabolism. To investigate systemic pathological mechanisms in TDP-43 proteinopathies, aiming to capture the pleiotropic effects of TDP-43 mutations, we have further characterised a mouse model carrying a point mutation (M323K) within the endogenous Tardbp gene. Homozygous mutant mice developed cognitive and behavioural deficits as early as 3 months of age. This was coupled with significant brain structural abnormalities, mainly in the cortex, hippocampus, and white matter fibres, together with progressive cortical interneuron degeneration and neuroinflammation. At the motor level, progressive phenotypes appeared around 6 months of age. Thus, cognitive phenotypes appeared to be of a developmental origin with a mild associated progressive neurodegeneration, while the motor and neuromuscular phenotypes seemed neurodegenerative, underlined by a progressive loss of upper and lower motor neurons as well as distal denervation. This is accompanied by progressive elevated TDP-43 protein and mRNA levels in cortex and spinal cord of homozygous mutant mice from 3 months of age, together with increased cytoplasmic TDP-43 mislocalisation in cortex, hippocampus, hypothalamus, and spinal cord at 12 months of age. In conclusion, we find that Tardbp M323K homozygous mutant mice model many aspects of human TDP-43 proteinopathies, evidencing a dual role for TDP-43 in brain morphogenesis as well as in the maintenance of the motor system, making them an ideal in vivo model system to study the complex biology of TDP-43.

neuroscience↗

bioRxiv2023

A Synthetic Cytotoxic T cell Platform for Rapidly Prototyping TCR Function

Current tools for functionally profiling T cell receptors with respect to cytotoxic potency and cross-reactivity are hampered by difficulties in establishing model systems to test these proteins in the contexts of different HLA alleles and against broad arrays of potential antigens. We have implemented and validated a granzyme-activatable sensor of T cell cytotoxicity in a novel universal prototyping platform which enables facile recombinant expression of any combination of TCR-, peptide-, and class I MHC-coding sequences and direct assessment of resultant responses. This system consists of an engineered cell platform based on the immortalized natural killer cell line, YT-Indy, and the MHC-null antigen-presenting cell line, K562. These cells were engineered using contemporary gene-editing techniques to furnish the YT-Indy/K562 pair with appropriate protein domains required for recombinant TCR expression and function in a non-T cell chassis, integrate a fluorescence-based target-centric early detection reporter of cytotoxic function, and deploy a set of protective genetic interventions designed to preserve antigen-presenting cells for subsequent capture and downstream characterization. Our data show successful reconstitution of the surface TCR complex in the YT-Indy cell line at biologically relevant levels. We also demonstrate successful induction and highly sensitive detection of antigen-specific response in multiple distinct model TCRs, with significant responses (p < 0.05 and Cohens d >1.9) in all cases. Additionally, we monitored destruction of targets in co-culture and found that our survival-optimized system allowed for complete preservation after 24-hour exposure to cytotoxic effectors. With this bioplatform, we anticipate investigators will be empowered to rapidly express and characterize T cell receptor responses, generate new knowledge regarding the patterns of T cell receptor recognition, and optimize novel therapeutic T cell receptors for improved cytotoxic potential and reduced cross-reactivity to undesired antigenic targets.

immunology↗

bioRxiv2023

FUSDelta14 mutation impairs normal brain development and causes systemic metabolic alterations

FUS (Fused in sarcoma) is a ubiquitously expressed DNA/RNA binding protein. Mutations in FUS cause aggressive juvenile forms of amyotrophic lateral sclerosis (ALS), as in the case with the FUSDelta14 mutation. While most studies have focused on the role of FUS in motor neuron degeneration, little is known about the effect of FUS mutations in the whole body, and the impact of FUS mutations in the correct development of the nervous system. We studied pleiotropic phenotypes in a physiological knock-in mouse model carrying the FUSDelta14 mutation in homozygosity. RNA sequencing was conducting in six different tissues (frontal cortex, spinal cord, tibialis anterior muscle, white and brown adipose tissue and liver) to identify the genes and pathways altered by the FUSDelta14 mutant protein in the systemic transcriptome. Additionally, brain structural magnetic resonance imaging (MRI) and histological characterisation was conducted in young mice to study the role of FUS mutation in the brain development. FUS mutant protein was upregulated and mislocalised in the cytoplasm in most cells of the tissues analysed. We identified few genes commonly altered in all tissues by this mutation, although most genes and pathways affected were generally tissue-specific. Phenotypic assessment of mice revealed systemic metabolic alterations related to the pathway changes identified. MRI brain scans revealed that homozygous FUSDelta14 brains were smaller and displayed significant morphological alterations including a thinner cortex, reduced neuronal number and increased gliosis, which correlated with early cognitive impairment and fatal seizures. We demonstrated that the disease aetiology of FUS mutations can include neurodevelopmental and systemic alterations, which should be taken into consideration in the clinic.

neuroscience↗

bioRxiv2023

Chromosome-level genomes of multicellular algal sisters to land plants illuminate signaling network evolution

The filamentous and unicellular algae of the class Zygnematophyceae are the closest algal relatives of land plants. Inferring the properties of the last common ancestor shared by these algae and land plants allows us to identify decisive traits that enabled the conquest of land by plants. We sequenced four genomes of filamentous Zygnematophyceae (three strains of Zygnema circumcarinatum and one strain of Z. cylindricum) and generated chromosome-scale assemblies for all strains of the emerging model system Z. circumcarinatum. Comparative genomic analyses reveal expanded genes for signaling cascades, environmental response, and intracellular trafficking that we associate with multicellularity. Gene family analyses suggest that Zygnematophyceae share all the major enzymes with land plants for cell wall polysaccharide synthesis, degradation, and modifications; most of the enzymes for cell wall innovations, especially for polysaccharide backbone synthesis, were gained more than 700 million years ago. In Zygnematophyceae, these enzyme families expanded, forming co-expressed modules. Transcriptomic profiling of over 19 growth conditions combined with co-expression network analyses uncover cohorts of genes that unite environmental signaling with multicellular developmental programs. Our data shed light on a molecular chassis that balances environmental response and growth modulation across more than 600 million years of streptophyte evolution. HIGHLIGHTSO_LIGenomes of four filamentous algae (Zygnema) sisters to land plants C_LIO_LIZygnema are rich in genes for multicellular growth and environmental acclimation: signaling, lipid modification, and transport C_LIO_LICell wall innovations: diversification of hexameric rosette cellulose synthase in Zygnematophyceae C_LIO_LICo-expression networks reveal conserved modules for balancing growth and acclimation C_LI

evolutionary biology↗

bioRxiv2022

Occurrence and classification of T-shaped interactions between nucleobases in RNA structures

Understanding the frequency and structural context of discrete noncovalent interactions between nucleotides is of pivotal significance in establishing the rules that govern RNA structure and dynamics. Although T-shaped contacts (i.e., perpendicular stacking contacts) between aromatic amino acids and nucleobases at the nucleic acid-protein interface have recently garnered attention, the analogous contacts within the nucleic acid structures have not been discussed. In this work, we have developed an automated method for identifying and unambiguously classifying T-shaped interactions between nucleobases. Using this method, we identified a total of 3262 instances of T-shaped (perpendicular stacking) contacts between two nucleobases in an array of RNA structures from an up-to-date dataset of high-resolution crystal structures deposited in the Protein Databank. These analyses add to the understanding of the physicochemical forces that are responsible for structure and dynamics of RNA.

biophysics↗

bioRxiv2022

Biochemical analysis, photosynthetic gene (psbA) down-regulation, and in silico receptor prediction in weeds in response to exogenous application of phenolic acids and their analogs

Chemical herbicides are the primary weed management tool, although several incidences of herbicide resistance have been emerged, causing serious threat to agricultural sustainability. Plant derived phenolic acids with herbicidal potential may provide organic and eco-friendly substitute to such harmful chemicals. In present study, efficacy of two phenolic compounds, ferulic acid (FA) and gallic acid (GA), were evaluated in vitro and in vivo against three prevalent herbicide-resistant weed species (Sinapis arvensis, Lolium multiflorum and Parthenium hysterophorus). FA and GA not only suppressed the weed germination (80 to 60 % respectively), but also inhibited biochemical and photosynthetic pathway of weeds. In addition to significantly lowering the total protein and chlorophyll contents of the targeted weed species, the application of FA and GA treatments increased the levels of antioxidant enzymes and lipid peroxidation. Photosynthetic gene (psbA) expression was downregulated (10 to 30 folds) post 48 h of phenolic application. In silico analysis for receptor identification of FA and GA in psbA protein (D1) showed histidine (his-198) and threonine (thr-286) as novel receptors of FA and GA. These two receptors differ from the D1 amino acid receptors which have previously been identified (serine-264 and histidine-215) in response to PSII inhibitor herbicides. Based on its toxicity responses, structural analogs of FA were also designed. Four out of twelve analogs (0.25 mM) significantly inhibited weed germination (30 to 40%) while enhancing their oxidative stress. These results are unique which provide fundamental evidence of phytotoxicity of FA and GA and their analogs to develop cutting-edge plant based formulation to suppress weed growth in future.

biochemistry↗

bioRxiv2022

In-silico comparative modeling and interaction studies of PRSV proteins - Accelerated towards dissection of structure based evolutionary divergence and functional interaction of virus within the host

Function based structure analysis of viral proteins reinforce their distinctive and unanticipated role within the host. The interaction dynamics of virus protein and host which is prerequisite for complete infectivity as well as systemic spread of invading virus demands to explore viral proteins in framework of their interacting partners. Papaya ringspot virus strain from Pakistan (PRSV-PK) spreading as atypical variant and causes drastic reduction in papaya production. The in-depth knowledge of the virus variant and effective management is obligatory. The desired objective is achievable once the evolutionary dynamics, molecular characterization and physicochemical structural properties conceived from the 3D protein structures are comprehended. Although the diversity studies on PRSV-PK strain been established but still there is a niche regarding structural based evolutionary dynamics of virus proteins and their probable interaction mode inside the host. The present investigations provided insights into the in-silico analysis of the functionally significant genes Coat protein (CP), Helper component proteinase (HC-Pro) and Nuclear Inclusion b protein (NIb) of PRSV-PK. The protein structure has been modeled using Phyre2, Swiss-Model and i-TASSER. Phyre2 built model showed 100% confidence for 67%, 63% and 20% sequence identity residues for PRSV CP, HC-Pro and NIb proteins respectively. The Swiss model showed identity values of 63.40%, 62.42% and 16.49% for CP, HC-Pro and NIb protein. whereas, i-TASSER server exhibited identity values of 67%, 63% and 19% for CP, HC-Pro and NIb proteins respectively. These structures provided a base line for functional analysis of experimentally derived crystal structures. The predicted models were validated using protein structure checking tools PROCHECK. Further the PRSV-PK-CP structures were compared with the PRSV-CP structures of representative isolates from different geographical regions. Nevertheless, the comparative modeling provides the insight into the evolutionary characteristics and proposed genetic diversity of PRSV based on protein structures. In addition, the conserved functional motifs have been mapped on aligned protein sequences of CP, HC-Pro and NIb, and their critical function within the host has been highlighted. Eventually, the interaction of papaya protein with the invading PRSV-CP has been predicted through in-silico protein-protein docking to elucidate their possible role in virus inhibition. The established structural-functional relation provided a basis to propose probable host-virus interactions in terms of virus infectivity, resultant host adaptability, and host defense response activation to counteract the virus invasion.

evolutionary biology↗

bioRxiv2022

Climate Change Impacts on Broussenetia papyrifera Pollens - Metabolome Investigations and Prospects of Allergy Prevalence

Broussonetia papyrifera (B. papyrifera) is an allergenic plant in the mulberry family that grows at varied elevations and climatic conditions worldwide. In northern Pakistan, B. papyrifera is abundant and it produces a substantial amount of pollen that disperses in the air causing allergies in some humans. Climate change affects pollen production. To investigate potential changes in pollens development and potential allergenicity, B. papyrifera pollens were collected in summer and in spring from different regions in Pakistan. Study samples were subjected to morphological analysis, Fourier Transform Infrared Spectroscopy (FTIR) analysis for biochemical differences, and Liquid Chromatography-Mass Spectrometry (LCMS) for metabolome analysis. Morphological studies of the dried pollen by light microscopy showed seasonal and regional differences in pollens size and exine morphology. FTIR analysis showed inter-regional and inter-seasonal differences in the metabolome of the pollen. Differences in lipid and protein functional groups of pollen from different regions showed variation in the FTIR spectra. These differences in FTIR spectra correlated with the changing climatic conditions. Metabolome analysis of targeted pollen samples identified 33 organic compounds of seven different groups. Four unsaturated fatty acids were identified that have a potential role in allergic responses. The findings in this study are unique in demonstrating climatic variables that effect B. papyrifera pollen physiology (FTIR analysis) which also confirms differences in pollen-associated lipid metabolites identified by LCMS analysis. These results demonstrate information that may be used to predict potential changes in allergy risks from pollens of B. papyrifera in the future. The findings may provide a model for predicting variation in pollen structure and associated allergies in response to climate changes for other species.

scientific communication and education↗

bioRxiv2021

Tunable Transcription Factor Library for Robust Quantification of Gene Expression Dynamics in E. coli

Predicting the quantitative regulatory function of a TF based on factors such as binding sequence, binding location and promoter type is not possible. The interconnected nature of gene networks and the difficulty in tuning individual TF concentrations makes the isolated study of TF function challenging. Here we present a library of E. coli strains designed to allow for precise control of the concentration of individual TFs enabling the study of the role of TF concentration on physiology and regulation. We demonstrate the usefulness of this resource by measuring the regulatory function of the zinc responsive TF, ZntR and the paralogous TF pair, GalR/GalS. For ZntR, we find that zinc alters ZntR regulatory function in a way that enables activation of the regulated gene to be robust with respect to ZntR concentration. For GalR and GalS, we are able to demonstrate that these parlogous TFs have fundamentally distinct regulatory roles beyond differences in binding affinity.

systems biology↗

bioRxiv2021

Outcome-selective reinstatement is partially context-dependent, and associated with c-Fos activation in the posterior dorsomedial striatum

Research from human and animal studies has found that responding that has been successfully reduced following treatment can return upon exposure to certain contexts. An individual in recovery from alcohol use disorder, for example, might relapse to drinking upon visiting their favourite bar. However, most of these data have been derived from experiments involving a single (active) response, and the context-dependence of returned responding in situations involving choice between multiple actions and outcomes is less well-understood. We thus investigated how outcome-selective reinstatement - a procedure involving choice between multiple actions - was affected by altering the physical context in rats. In Experiment 1, rats were trained over 6 days to press a left lever for one food outcome (pellets or sucrose) and a right lever for the other outcome. Then, rats received an extinction session in either the same context (A) as lever press training, or in a different context (B). Rats were tested immediately (5 minutes) after extinction in Context A or B such that there were four groups in total: AAA, ABB, ABA, and AAB. Reinstatement testing consisted of one food outcome being delivered freely (i.e. unearned by lever pressing and unsignalled by cues) to the food magazine every 4 minutes in the following order: Sucrose, Pellet, Pellet, Sucrose. Selective reinstatement was considered intact if pellet delivery increased pressing selectively on the pellet lever, and sucrose delivery selectively increased pressing on the sucrose lever. This result (Reinstated > Nonreinstated) was observed for rats in group AAA and ABB, but not rats in groups ABA and AAB. Experiment 2 was conducted identically, except that rats received two extinction sessions over two days and tested one day later. This time, all groups demonstrated intact outcome-selective reinstatement regardless of context. Analysis of c-Fos expression in several brain regions revealed that only c-Fos expression in the posterior dorsomedial striatum (pDMS) was related to intact reinstatement performance. Overall, these results suggest that outcome-selective reinstatement is predominantly context-independent, and that intact reinstatement is related to neuronal activity in the pDMS. HighlightsO_LIOutcome-selective reinstatement is predominantly context-independent C_LIO_LIOutcome-selective reinstatement is entirely context-independent after multiple extinction sessions C_LIO_LIOutcome-selective reinstatement increases c-Fos expression in dorsomedial striatum C_LIO_LIc-Fos expression in orbitofrontal cortex and dorsal hippocampus is unaffected by selective reinstatement. C_LI

animal behavior and cognition↗