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Schwartz, S.

Publications and source records attributed to Schwartz, S..

At least 19 recordsLinked to original sources

From Images and Words to Modality-Independent Semantic Representations: When and Where They Emerge

Conceptual knowledge can be accessed from different modalities, such as seeing an image or reading a written word. While prior neuroimaging studies implicate anterior temporal cortex in modality-independent semantic representations, when and how representations evoked by images and words converge onto a modality-independent code remains unclear. Moreover, evidence for modality-independent category representations comes largely from tasks that explicitly required semantic processing, leaving open whether such representations emerge when semantic category and stimulus modality are task-irrelevant. We magnetoencephalography (MEG) to determine when and where modality-independent semantic category representations emerge across images and words when participants (n = 32) encoded six-item sequences containing an exemplar of six semantic categories counterbalanced across positions and reported the ordinal position of a probed item. Decoding performance was above chance for all categories in each modality from approximately 70 ms relative to item presentation. Generalization peaked at similar latencies for the two modalities (~520-530 ms), where image and word classifiers had the most similar coefficients. In both transfer directions, activity elicited by images generalized mostly to later activity elicited by words, and a given period of the image response shared its category code with a longer period of the word response. Source-space decoding around the peak of generalization identified the same regions for both transfer directions: left and right anterior temporal lobe, perisylvian cortex (more extensive in the left hemisphere), right visual cortex, and bilateral orbitofrontal cortex, indicating a modality-independent category code distributed across the cortex.

neuroscience↗

RTTN moonlights beyond the centrosome to control ribosome biogenesis and tRNA modification in human brain organoids

RTTN (rotatin) is a centrosomal protein mutated in severe malformations of cortical development, yet how its dysfunction disrupts human corticogenesis has remained unclear. Here, we show that RTTN has an unrecognized function at the core of the translation machinery. Using human telencephalic and hippocampal organoids carrying distinct RTTN alleles, together with single-cell and bulk transcriptomics, polysome profiling, and tRNA pseudouridine sequencing, we find that RTTN is enriched in cycling first-trimester neural progenitors and physically associates with ribosome-biogenesis and RNA-processing factors. RTTN mutations impair rRNA biogenesis and polysome assembly, reduce cytoplasmic ribosome density and nascent protein synthesis, and remodel the tRNA pseudouridylation landscape through both a PUS7L-dependent variable-arm signature and a broader RTTN-specific defect. These translational deficits are accompanied by prolonged mitosis, reduced entry into S-phase, and impaired interkinetic nuclear migration in mutant progenitors. Our findings redefine RTTN as a regulator of ribosome homeostasis and mRNA translation and implicate defective translational capacity as a driver of RTTN-associated microcephaly. Graphical AbstractRTTN sustains ribosome and tRNA homeostasis in human neural progenitors; its mutation disrupts mRNA translation, stalling progenitor proliferation and interkinetic nuclear migration, and driving cortical malformation and growth failure. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=151 SRC="FIGDIR/small/744412v1_ufig1.gif" ALT="Figure 1"> View larger version (57K): org.highwire.dtl.DTLVardef@16124aaorg.highwire.dtl.DTLVardef@ae23f7org.highwire.dtl.DTLVardef@bb588forg.highwire.dtl.DTLVardef@1b35028_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

A variant rRNA serves as a translational repressor in Plasmodium falciparum

Ribosome composition can vary through differences in associated proteins, post-transcriptional and post-translational modifications. Such heterogeneity enables ribosomes to respond to environmental1 or pathological2,3 conditions, and modulate localized translation4. A long-standing observation has also been the differential expression of variant ribosomal RNA (rRNA) alleles across developmental5-7 or cellular states8-14. Yet how exchanging the catalytic ribosome core could regulate translational outcomes remains unknown. Here, we report the functional characterization of a genomically-encoded, divergent rRNA that serves as a dominant-negative repressor of translation during host-to-vector transmission in the human malaria parasite. This allele only encodes for large subunit rRNAs, lacks ITS2 splicing, yet retains conserved rRNA modification and folding patterns alongside vast expansion segments. The resulting large subunit engages mRNA at translation start sites but appears to elongate inefficiently, likely due to divergences in the peptidyl transferase center obstructing the exit tunnel. Through its precisely timed transcription immediately after transmission, this rRNA represses mRNAs that were highly translated in the human, facilitating the transition of the translational program for mosquito-stage development. Our data identify a repressive ribosome population whose antagonistic function is encoded by an independently evolved, variant rRNA allele, defining the conceptual foundation for an additional layer of inherent translational regulation.

molecular biology↗

Sensory processing reallocation from external to internal signals in REM sleep

The brain continuously integrates information from the external environment (exteroception) and the internal bodily milieu (interoception). How the balance between these two processing streams shifts across vigilance states with differing levels of environmental responsiveness, however, remains poorly understood. Here, we examined neural responses to external auditory and internal cardiac signals across wakefulness and REM sleep microstates - tonic and phasic REM - which are characterized by progressively reduced responsiveness to external stimulation. High-density EEG was recorded in healthy participants (n=25). Auditory evoked potentials (AEPs) and heartbeat evoked potentials (HEPs) served as indices of exteroception and interoception, respectively, and were compared across vigilance states. AEPs progressively decreased from wakefulness to tonic REM and were most attenuated during phasic REM. In contrast, HEPs were preserved across REM microstates and were enhanced relative to wakefulness, indicating sustained - and even amplified - processing of cardiac signals during REM sleep. To quantify the relative weighting of external and internal signals, we introduce an exteroceptive-interoceptive index, defined as the ratio of auditory to cardiac neural responses. This index decreased systematically across vigilance states, revealing a graded shift from externally oriented processing during wakefulness to internally oriented processing during phasic REM, with tonic REM occupying an intermediate position. Together, these findings demonstrate that while responsiveness to external stimuli diminishes during phasic REM, the brain continues to prioritize physiologically relevant internal signals. The exteroceptive-interoceptive balance may thus provide a novel, mechanistically grounded marker of altered consciousness, particularly informative in contexts where behavioural responsiveness cannot be assessed. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=141 SRC="FIGDIR/small/712081v1_ufig1.gif" ALT="Figure 1"> View larger version (19K): org.highwire.dtl.DTLVardef@1e46a9borg.highwire.dtl.DTLVardef@112f050org.highwire.dtl.DTLVardef@5f5249org.highwire.dtl.DTLVardef@135cc4_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

Targeted knockout of CYP79A1 reduces cyanogenic potential in grain sorghum

Sorghum bicolor is a climate-resilient C4 crop used for food, forage, and bioenergy, but broader adoption is constrained by accumulation of the cyanogenic glucoside dhurrin, which can release toxic hydrogen cyanide (HCN) upon tissue damage. Dhurrin levels are especially high in juvenile tissues, creating risk for grazing animals and limiting use in mixed crop-livestock systems. Here, we establish a CRISPR-Cas9 genome-editing strategy targeting CYP79A1, which catalyzes the first committed step in dhurrin biosynthesis, in the elite grain sorghum inbred RTx430, yielding transgene-free lines with stable, heritable reduction in cyanogenic potential across early vegetative development. Homozygous cyp79a1 knockouts were negligibly cyanogenic, whereas heterozygous plants exhibited approximately half the cyanogenic potential of unedited nulls. Consistent with established livestock grazing guidelines, only homozygous knockouts fell below thresholds considered hazardous for incidental grazing. This work establishes CYP79A1 as a practical and heritable genome-editing target for reducing sorghum cyanogenesis and provides a clear path for deployment of low-cyanogenic alleles in elite breeding backgrounds.

plant biology↗

Architecting cis-regulation to quantitatively tune gene expression in cereals

Precise modulation of gene expression via cis-regulatory editing holds promise for non-transgenic crop improvement, but the sequence-to-function relationships that govern plant promoter activity remain poorly understood. Here, we develop a massively parallel reporter assay (MPRA) in Sorghum bicolor to systematically measure the effects of >30,000 CRISPR-like mutations-deletions, substitutions, and motif insertions-across entire native promoters and 5' untranslated regions (UTRs) of three photosynthesis genes: PsbS, Raf1, and SBPase. We find that gene expression is most tunable within a [~]500 base pair core promoter region, where mutational effects are reproducible across biological replicates and predictive of protein output. Within these regions, we identify compact deletions and motif insertions that strongly increase protein production (>30-fold relative to wild type), exceeding the performance of transgenic enhancer elements. Mutation-effect relationships are gene-specific, highlighting the need for tailored regulatory maps. Our results establish a high-throughput strategy for cis-regulatory fine-mapping that enables crop improvements via minimal, precise, and non-transgenic gene edits.

synthetic biology↗

Impact of the pulse artifact on evoked activity in human wakefulness and sleep

The investigation of the neural evoked response to the heartbeat quantified using electroencephalography (i.e., heartbeat evoked potentials or HEPs), has gained recent attention in neuroscience, notably as a measure of interoception, the sensory system responding to internal bodily states. One main challenge in measuring HEPs is their susceptibility to cardiac artifacts contamination, including the cardiac field artifact and the pulse artifact (PA), the latter possibly caused by the mechanical pressure of pulsating vessels. Here, we aimed at assessing the impact of PAs on HEPs and auditory evoked potentials (AEPs, a proxy of the neural responses to exteroceptive sensory stimuli). To this aim, we compared two pre-processing pipelines using independent component analysis in healthy volunteers (N=30). The first, standard, pipeline excluded ocular, muscle, sweating-related activity and cardiac-related activity stemming from the cardiac field artifact. The second, pairwise phase consistency (PPC) pipeline, in addition to the removal of the aforementioned components, used the quantitative metric of PPC between independent components and the ECG to remove the cardiac-related PA. We tested how these two pre-processing approaches influenced HEPs and AEPs recorded under diverse neurophysiological conditions (wakefulness, N2, N3, and REM sleep). Comparing the HEPs from the standard and the PPC approaches (cluster-based permutation statistics, p<0.05, two-tailed) revealed a significant effect of PAs, particularly in wakefulness, followed by REM and N2 sleep, with Cohens d effect sizes of 1.92, 0.95 and 0.88, respectively. By contrast, PA correction had a negligible effect (p>0.05, two-tailed) on the HEPs in N3 sleep and on the AEPs in all vigilance states. Our results emphasize the need to account for the PA as a significant confounding factor when comparing HEPs across groups with varying vascular or cardiac conditions.

neuroscience↗

BarlowTrack: A Self-Supervised Framework for Zero-Shot Multi-Object Cell Tracking

Recent advances in neuroscience have made it possible to image large brain regions at single-cell resolution. However, classic methods for processing these videos into neuronal time series fail in the presence of large and nonrigid deformations, in particular for freely moving animals. Several successful algorithms have been proposed to solve this problem in moving C. elegans, but they are highly specific to the conditions of a single research setting. We propose a tracking pipeline based on self-supervised learning that achieves a high level of zero-shot accuracy across conditions, and, for the first time, independent laboratories. We contribute a novel term in the Barlow Twins loss function to encourage decorrelation of features across detected instances at the same time point. To encourage broad adoption, we use the standardized Neurodata Without Borders (NWB) format and we provide a GUI for visualization of the final results and neuronal time series. Finally, we provide a benchmark of datasets with ground truth annotations in the NWB format for further algorithmic development.

bioinformatics↗

Temporal evolution of Neural Codes: The Added Value of a Geometric Approach to Linear Coefficients

Multivariate decoding analyses have become a cornerstone method in cognitive neuroscience. When applied to time-resolved brain imaging signals, they provide insights into the temporal dynamics of information processing in the brain. In particular, the temporal generalization (TG) method--where a decoder trained at one time point is tested on others--is commonly used to assess the stability of neural representations over time. However, TG performance can be ambiguous: distinct representational dynamics--such as sparse versus distributed activity, or scaling of activity versus recruitment of new units--can yield similar TG matrices. Moreover, even when generalization is strong, underlying neural representations may still be evolving in ways that TG alone fails to reveal. This ambiguity of performance profiles can mask meaningful changes in the geometry of neural representations. In this study, we use controlled simulations to demonstrate how different dynamic processes can produce indistinguishable TG profiles. To resolve these ambiguities, we propose a complementary approach based on the geometry of the learned linear coefficients. Specifically, we quantify the Rotation Angle {theta} between decision subspaces (with cosine similarity) and the Feature Density (capturing whether feature contributions are distributed or sparse). Together, these measures complement TG analyses, revealing how neural representations evolve in space and time. Beyond time-resolved decoding, our approach applies broadly to any linear model, offering a geometric perspective on representational dynamics. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=113 SRC="FIGDIR/small/681582v1_ufig1.gif" ALT="Figure 1"> View larger version (19K): org.highwire.dtl.DTLVardef@c1584forg.highwire.dtl.DTLVardef@18cdd30org.highwire.dtl.DTLVardef@10d7c22org.highwire.dtl.DTLVardef@50a6fa_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

Cardiac-locked auditory stimulation modulates pupil and neural dynamics

The human brain is sensitive to temporal regularities across bodily and environmental signals. Here, we investigated the pupil and neural correlates of regularity encoding established across cardiac and auditory stimuli. Auditory sequences were presented in synchrony with the heartbeat (synchronous), at a fixed pace, or without temporal regularity while recording pupillometry, electroencephalography, and electrocardiography in healthy participants. Sounds evoked typical pupil dilation in all conditions. However, only in the synchronous condition, pupil dilation progressively decreased over the course of the sequence, possibly reflecting adaptation to the repeated cardio-auditory alignment. A concurrent increase in global EEG activity suggested enhanced cortical processing in response to the synchronous sequence. Pupil constriction was driven by participants with higher heart rate, indicating that pupil adaptation mostly occurs in response to fast auditory sequences. Cardio-audio regularity encoding manifests as a pupil adaptation and an amplification of global EEG activity, likely reflecting improved temporal prediction precision.

neuroscience↗

NLRP3 inhibition maintains microglia architecture and enhances behavioral recovery after traumatic brain injury

NLRP3 plays an essential role in secondary neuroinflammatory damage following traumatic brain injury (TBI). However, the specific mechanisms mediating NLRP3s effects in TBI remain poorly understood, and it is unknown whether its pharmacological inhibition with oral compounds during initial phases confers long-term protection. In this study, we investigated the role of the NLRP3 inflammasome pathway in TBI-induced neuroinflammation and long-term neurobehavioral impairment, as well as the impact of its pharmacological inhibition. Following controlled cortical impact (CCI), most NLRP3 inflammasome-related proteins and key inflammatory markers were elevated during the first week post-injury. Genetic Nlrp3 deletion and treatment with oral NLRP3-specific inhibitors preserved microglial homeostatic architecture, reduced ASC aggregation, and enhanced neurological and cognitive recovery after CCI. Repeated intravital imaging confirmed that NLRP3 inhibition prevents microglial activation post-TBI. These findings suggest NLRP3 inflammasome targeting represents a viable translational strategy for clinical trials and may mitigate long-term neurocognitive decline following TBI.

neuroscience↗

ASC contributes to sustained glial reactivity and mild cognitive impairment after closed-head injury

Mild brain traumatic brain injury (mTBI) from closed-head injuries (CHI) can lead to prevalent neuropsychiatric disorders, including an increased risk for neurodegenerative diseases and dementia. Inflammasomes are molecular complexes crucial for neuroinflammation and secondary damage after trauma, however their role in mild CHI is poorly understood. In this study, we investigate the cellular expression of inflammasome-related genes and their functional significance in CHI models. Single-cell RNA sequencing of cortical tissue revealed selective expression of Pycard (PYD and CARD domain containing), also known as Asc (apoptosis-associated speck-like protein containing a caspase recruitment domain), which encodes the inflammasome adaptor ASC, predominantly in microglial clusters. Sustained upregulation of inflammasome-related proteins persisted up to 21 days in a model for mTBI, with this pattern significantly reduced in Asc-/- mice. Importantly, mild cognitive impairment induced after mild CHI was largely abrogated in Asc-/- mice. These findings suggest that ASC, as the primary inflammasome adaptor, plays a critical role in sustaining neuroinflammation and contributes to cognitive deficits after mild CHI. This study provides insights into the molecular neuroinflammatory mechanisms underlying CHI, potentially informing future therapeutic strategies.

neuroscience↗

iSleep: Continuous, binocular pupil tracking in sleep and reduced consciousness for physiological monitoring, predictions and interventions

Monitoring pupil dynamics is a key tool in understanding arousal. Pupil size can serve as a biomarker for the autonomic nervous system balance as well as for identifying brain states. While internal states can also be self-reported when awake, automated detection and non-invasive monitoring is crucial during sleep and reduced consciousness. Here, we introduce iSleep, an innovative pupil tracking and analysis framework for sleep in humans. It features comfortable, humidified eye-tracking goggles and a platform for integrated analysis and prediction capabilities. We show that iSleep allows safe and continuous access to binocular pupil size and ocular dynamics during sleep and anesthesia. iSleep reveals that pupillary fluctuations correlate tightly with brain activity, heartbeat, and breathing, and can reliably predict brain states. Pupil constrictions reflect parasympathetic drive and likely serve a protective function for deep sleep stability; while dilations indicate arousals. Unexpectedly, we observed a decoupling of binocular movements during periods of sleep, indicating alterations in reflexes which usually govern voluntary eye movements. Finally, iSleep was tested in surgery patients under general anesthesia, revealing dynamic pupil changes to noxious stimuli, suggesting the potential for nociception monitoring during surgeries. In summary, iSleep offers an easy-to-use, robust alternative to read out brain states during sleep and anesthesia, opening new avenues in monitoring, diagnostics, and treatments, previously obscured by closed eyelids.

neuroscience↗

Using domain insertion to create sulfite reductases that present chemical-dependent activities

Domain insertion can be used to create oxidoreductase switches whose charge transfer is dependent upon analyte binding. To date, most domain insertion studies have targeted relatively small proteins of known structure, so it remains unclear how to effectively use this protein engineering approach with large oligomeric oxidoreductases that require dynamic conformational changes for catalysis. To address this question, we studied the effect of domain insertion on the function of NADPH-dependent sulfite reductase (SiR) from Escherichia coli, a dodecameric protein containing eight hemoprotein subunits and four flavoprotein subunits. SiR mutational tolerance was first mapped using systematic peptide insertion, and a subset of variants retaining activity were subjected to domain insertion. When a ligand-binding domain was inserted at locations tolerant to peptide insertion, including sites proximal and distal from the intersubunit interfaces, more than half of the resulting variants presented cellular activity that is enhanced by an endocrine disruptor. This ligand-dependent synthesis of a redox-active metabolite could be monitored electrochemically from cells, illustrating how a single protein complex can be used to convert chemical information in the environment into a metabolite within cells that diffuses across the cell membrane and can be detected electrochemically.

synthetic biology↗

Catch & Release - rapid cost-effective protein purification from plants using a DIY GFP-Trap-protease approach

The purification of proteins is the foundation to study their structure, function, biochemical properties, and interaction partners. In plant research, unique challenges arise from the complexity of plant tissues, interference of secondary metabolites, and sometimes the low abundance of target proteins. Many conventional plant protein purification methods rely on expensive reagents, multi-step procedures, and labor-intensive workflows, limiting their feasibility for many applications. Here, we present the "Catch & Release" system, a cost-effective, fast and reliable one-step purification workflow for the isolation of soluble and membrane-bound proteins from plant tissues. The Catch & Release toolbox includes a vector set, a homemade GFP-trap and homemade proteases. Catch & Release vectors streamline cloning and transgenic plant selection through the Fluorescence-Accumulating Seed Technology (FAST), which marks positive transformants with a strongly fluorescing seed coat. Each plasmid consists of four, easy to exchange, modules: a plant promoter, a cloning dropout marker, protease cleavage sites, and seven different epitope tags, including an innovative dual-fluorescent tag, providing flexibility for diverse experimental needs. The in vivo functionality of all modules has been confirmed. Besides enabling standard molecular biological experimentation, our vector set in combination with homemade GFP-trap and proteases enables efficient and rapid isolation of soluble and high molecular weight membrane proteins directly from plants. By following our detailed reagent preparation instructions, purification costs can be decreased hundred-fold compared to the commercially available options.

plant biology↗

Pus7 mutation links tRNA dysregulation to aggressive behavior through activation of the integrated stress response and glycolytic reprogramming

Pseudouridine ({Psi}) is a prevalent RNA modification found in multiple RNA species. It is deposited by {Psi} synthases (Pus) and it can stabilize RNA structures. Patients carrying alterations in the Pus7 gene suffer from developmental delay, intellectual disability, microcephaly, hyperactivity and increased aggression levels. Here we show that the Pus7 mutation in human patient cells and in a Drosophila model is associated with a specific decrease of tRNA:Aspartate (tRNA-Asp) levels, which leads to slow decoding at Aspartate codons. This in turn activates the integrated stress response and induces a metabolic shift towards increased glycolysis and reduced mitochondrial respiration. Elevating tRNA-Asp expression, inhibiting the integrated stress response or dampening the glycolytic pathway is sufficient to rescue the aggressiveness phenotype, demonstrating the involvement of the tRNA-Asp-ISR-glycolysis axis in this behavior. Together our data provide new insights into the molecular defects associated with the loss of Pus7 and suggest potential new avenues for therapeutic treatment.

genetics↗

Whole-night gentle rocking improves sleep in poor sleepers with insomnia complaints.

Specific brain oscillations can be manipulated during sleep to improve sleep quality and memory performance. We previously demonstrated that continuous rocking stimulation (0.25Hz, lateral movement) applied to good sleepers during sleep enhanced stable deep sleep, boosted NREM oscillations (spindles and slow waves), and memory consolidation. Here, we investigated whether nocturnal rocking could benefit individuals suffering from sleep difficulties. We recruited sixteen young adults with subjective difficulties initiating and/or maintaining sleep and who presented with objective poor sleep quality. Each participant spent two nights of sleep at the laboratory, one rocking and one stationary, during which we assessed sleep and declarative memory consolidation. We found that a whole night of gentle rocking in individuals with poor sleep decreased sleep fragmentation, time spent awake and in light sleep (N1), with an associated increase in objective sleep efficiency and subjective sleep quality. Additionally, we replicated the neural entrainment or synchronizing effect of the rocking motion, yielding a boost in NREM fast spindles and slow oscillations. Yet, these changes in sleep did not modulate overnight memory performance. By alleviating some difficulties encountered in this population of poor sleepers (e.g., sleep maintenance and poor self-reported sleep), these findings provide preliminary evidence that rocking may represent an alternative or complementary intervention for the management of some forms of chronic insomnia. STATEMENT OF SIGNIFICANCEHere, we demonstrate that a gentle and continuous rhythmic rocking stimulation applied during a whole night improves sleep in young adults with sleep complaints and objective poor sleep quality. Rocking, compared to a normal stationary condition, promoted sleep maintenance and sleep efficiency with a parallel improvement in subjective sleep quality. As we previously found in healthy controls, the rocking stimulation had a mechanistic influence over the synchronisation of sleep oscillations in these individuals with insomnia complaints. These findings may be relevant for the development of non-pharmacological interventions in similar populations with insomnia complaints and poor sleep, including older adults, and clinical populations with neurological, psychiatric, or somatic conditions.

neuroscience↗

Plant cells tolerate high rates of organellar mistranslation

Bacteria can trigger protein mistranslation to survive stress conditions 1. Mitochondria and plastids evolved from bacteria and therefore also use prokaryotic-type expression machineries to synthesize proteins. However, fungi and animal mitochondria are highly sensitive to mistranslation, which for instance manifests in lethal mitochondrial cardiomyopathy disorder 2. The response in plant cells is unknown. Glutaminyl-transferRNAs (Gln-tRNAGln) of bacteria, mitochondria, and plastids are synthesized indirectly 3,4. Initially, tRNAGln gets charged with glutamate. Subsequently, Gln is produced through trans-amidation by the aminoacyl-tRNA amido-transferase complex GatCAB. Consequentially, affected GatCAB activity results in pools of misloaded Glu-tRNAGln. Here we show that Arabidopsis mutants with decreased GatCAB level provide global insights into organellar mistranslation in plants. Proteomics revealed Gln-to-Glu misincorporation in plastid- and mitochondrially-expressed protein complexes with only modest abundance changes in mutant plants. Plastids appear more lenient to mistranslation as they exhibit much higher Gln-to-Glu misincorporation. Through efficient compensatory mechanisms, mutant plants display surprisingly subtle phenotypes. However, their acclimation to temperature stress differs. Interestingly, wild-type plants under similar stress also have altered Gln-to- Glu misincorporation. Our study shows that the response towards organellar mistranslation varies among eukaryotes. In plants, this knowledge can be used to improve stress tolerance.

plant biology↗