Publication date: Available online 8 November 2025 Source: Hormones and Behavior Author(s): Cheryl M. McCormick, Justin M. Carré

Publication date: Available online 8 November 2025 Source: Behavioural Processes Author(s): Marilou Poitras, Élodie A. Ouellette, Sergio M. Pellis, Hélène Plamondon

Rabies virus (RABV) is a neglected tropical pathogen in Latin America predominantly transmitted to mammals by the common vampire bat (Desmodus rotundus). Transmission of RABV among D. rotundus individuals and colonies is a function of individual dispersal between colonies, patterns of which can be inferred from population genetic structure. Nevertheless, a baseline assessment of population genetic structure among D. rotundus individuals has been lacking for some areas of South America, including Colombia, where RABV has impacted some areas more heavily than others. To assess individual dispersal and hence population structure of D. rotundus across heterogenous landscapes in Colombia, we conducted a cross-elevational assessment of population genetic variation using nuclear microsatellite DNA markers. We quantified genetic variance and geographic distribution of genetically clustered D. rotundus individuals across the landscape of Colombia with reference to a comparator group of individuals from Mexico. We found population-level differentiation and genetic structure within our collection of samples, and we inferred patterns of dispersal and genetically effective migration between D. rotundus populations. Analysis of molecular variance (AMOVA) showed considerable variation among inferred populations in Colombia (14.9% of genetic covariance, df = 2, Sum of Squares = 164.9, Sigma = 1.28, ϕ = 0.15, p = 0.01), with an associated G′ST of 0.34. Direct migrant identification suggested 15 likely first-generation migrants among sites. We found that there were no statistically significant differences between the landscapes occupied by the inferred populations, though our limited sampling size suggests a trend toward differences in relation to elevation (t = 1.91, df = 71.72, p = 0.06). These results indicate that D. rotundus is mobile within the region, potentially contributing to RABV transmission among colonies. Our results support previous hypotheses ecological resistance-mediated patterns of dispersal for D. rotundus, and inform future research on the role of genetic connectivity in RABV transmission among bat colonies.

Anxiety is a negative psychological state induced by stress triggers that can be examined in animals which exhibit repetitive, self-directed behaviors. Primate mothers face anxiety due to birthing, infant health, and social relations. In this study, a mother aye-aye (Daubentonia madagascariensis) was observed to assess anxiety behaviors. It was hypothesized that the behaviors would change over time. With Duke IACUC approval, Pelco IMM12027-1S cameras were placed in the Duke Lemur Center (DLC) aye-aye mother's enclosure to record her activity. Over three days peripartum, full 24-hour footage and continuous focal animal sampling were used to note the time, duration, and type of repetitive scratching, grooming, etc. Data were then analyzed using Chi-square, Fishers Exact, and Kruskal Wallis tests. The results showed that the day before birth, the mother repeatedly constructed and deconstructed nests eight times more than engaging in any other behavior (n=212x), while on the day of birth, the mother scratched (n=87x) and groomed (n=60x) herself a lot. The day after birth, the mother was hyper-vigilant (n=32x). Thus, the hypothesis was supported as the mother exhibited signs of anxiety by engaging in different anxiety-related behaviors over the three-day period. While limitations such as a small sample size (n=1) and possible abnormal parturition behavior are evident, this study is the first to examine maternal anxiety in aye-ayes. The results can help husbandry staff create more comfortable environments for the rare and difficult-to-see captive aye-ayes.

Nature, Published online: 10 November 2025; doi:10.1038/s41586-025-09782-6Author Correction: The oldest known lepidosaur and origins of lepidosaur feeding adaptations

by Srinivas Abhishek Mutnuru, Pooja Yadav, Parik Kakani, Shruti Ganesh Dhamdhere, Poorva Kumari, Shruti Agrawal, Atul Samaiya, Sanjeev Shukla Tumor hypoxia induced alterations in the epigenetic landscape and alternative splicing influence cellular adaptations. PRMT5 is a type II protein arginine methyltransferase that regulates several tumorigenic events in many cancer types. However, the regulation of PRMT5 and its direct implication on aberrant alternative splicing under hypoxia remains unexplored. In this study, we observed hypoxia-induced upregulation of PRMT5 via the CTCF in human breast cancer cells. Further, PRMT5-mediated symmetric arginine dimethylation H4R3me2s and H3R8me2s directly regulated the alternative splicing of TCF3. Under hypoxia, PRMT5-mediated histone dimethylation at the intronic conserved region (ICR) present between TCF3 exon 18a and exon 18b recruits DNMT3A, resulting in DNA methylation. DNA methylation at the TCF3-ICR is recognized and bound by MeCP2 resulting in RNA-Pol II pausing, promoting the recruitment of the negative splicing factor PTBP1 to the splicing locus of TCF3 pre-mRNA. PTBP1 promotes the exclusion of exon 18a which results in the production of the pro-invasive TCF3-18B (E47) isoform which promotes EMT and invasion of breast cancer cells under hypoxia. Collectively, our results indicate PRMT5-mediated symmetric arginine dimethylation of histones regulates alternative splicing of TCF3 gene thereby enhancing EMT and invasion in breast cancer hypoxia.

Motherhood regret still constitutes a major taboo that limits the possibility of processing the negative exposure to being a mother. This qualitative study involved Italian women living both in Italy and abroad, where traditional patriarchal thinking remains influential. Sixteen women defining themselves as ‘regretful were interviewed to explore their experiences of regret, the changes following the birth of children, family and social support, and employment. The thematic analysis highlighted several recurring themes: the idealisation of motherhood and the hidden struggles it conceals; the guilt associated with feeling inadequate and the indifference of some fathers; the social pressure that compels women to conform to maternal expectations; the perception of being trapped in a predefined role; and the conflict between personal identity and the ideal of the “perfect mother.”. The findings reveal that maternal regret is deeply intertwined with internalised patriarchal norms, the myth of the “good mother,” and the social expectation of women’s self-sacrifice. Despite recognising these as cultural constructs, participants expressed feelings of guilt, anger, and inadequacy, intensified by the unequal division of domestic and parental responsibilities. This issue and the need for a revival of women’s consciousness-raising groups to open a space for dialogue on the topic in countries where patriarchy is still strong, such as Italy, are discussed.

Background The aim of the study is to analyse the overall satisfaction level of patients undergoing diagnostic and/or therapeutic hysteroscopy in an ambulatory setting and examine factors related to satisfaction. Methods A retrospective descriptive study was conducted to analyse outpatient hysteroscopies performed between January 2020 and June 2022 at the University Hospital of Igualada. Patient demographic and clinical data as well as hysteroscopic features were collected. A telephonic questionnaire on patient satisfaction was conducted retrospectively. Results A total of 435 hysteroscopies were analysed. Hysteroscopy was successful in 95.6% of them with a clinical remission in 69.8% of patients. The mean pain score was 3.33 (Visual Analogue Scale). An average overall satisfaction score of 9 was obtained. Pain was the main reason in patients with low satisfaction ratings. A positive correlation was found between the patient satisfaction score and the level of information received before the procedure. An inverse relationship was detected between the patient satisfaction score and the pain experienced during the hysteroscopy. Conclusions Outpatient diagnostic and/or therapeutic hysteroscopy is a technique accepted by the majority of patients and with a high level of satisfaction. Variables such as pain or the previous information received are important and directly related to the final satisfaction level of the procedure.

Understanding primate cognition in natural environments is critical for linking mental abilities to social behavior, fitness, and evolution, yet technical limitations have long hindered field-based cognitive testing. We present CapuchinAI v1.0, a novel machine-learning-based touchscreen apparatus designed to test cognition in wild white-faced capuchins (Cebus capucinus). Our system integrates a lightweight Raspberry Pi 5, an infrared touchscreen, a webcam, and an automated food dispenser with a facial recognition model capable of detecting and identifying individuals in real time. This pipeline allows individualized cognitive tests, validated in laboratory touchscreen paradigms, to be presented dynamically as monkeys approach or leave the testing station. During pilot deployment with two habituated groups in the Taboga Forest Reserve, Costa Rica, multiple individuals voluntarily engaged with the apparatus. Several rapidly formed and retained associations between touching the screen and receiving rewards, demonstrating both feasibility and strong motivation to participate. The system simultaneously generated a video database for training the next iteration of our facial recognition model, enabling expansion to individual-level testing. By automating identity recognition, stimulus assignment, and reward control, CapuchinAI overcomes limitations of traditional field experiments, including monopolization by dominant individuals and restricted sample sizes. This approach offers a scalable framework to investigate interindividual and longitudinal variation in cognition directly in wild settings, bridging laboratory and field methodologies. Beyond capuchins, the apparatus is adaptable to other primates and species, providing a powerful new tool to advance comparative cognition, ecological psychology, and evolutionary anthropology.

Ecology and Evolution, Volume 15, Issue 11, November 2025.

Brain and Behavior, Volume 15, Issue 11, November 2025.

Proceedings of the National Academy of Sciences, Volume 122, Issue 44, November 2025. SignificanceSocial insects challenge individual-centric views of host–microbe mutualism. In a clade of herbivorousTetraponeraants, we reveal a specialized organ—a bacterial pouch unique among Hymenoptera—that enables colony-wide nutritional symbiosis. ...

Nature Communications, Published online: 10 November 2025; doi:10.1038/s41467-025-64976-wSpontaneous neural activity has been experimentally linked to learning ability. Here, the authors derive theoretical formulae showing that higher variance along task-relevant directions accelerates learning speed, providing a framework consistent with empirical findings.

Nature, Published online: 10 November 2025; doi:10.1038/d41586-025-03677-2A vast study suggests that being multilingual can slow down cognitive ageing.

Publication date: December 2025 Source: Animal Behaviour, Volume 230 Author(s): John M. Marzluff

by Loïc Sanchez, Nicolas Loiseau, Camille Albouy, Morgane Bruno, Adèle Barroil, Alicia Dalongeville, Julie Deter, Jean-Dominique Durand, Nadia Faure, Fabian Fopp, Régis Hocdé, Mélissa Jaquier, Narriman S. Jiddawi, Meret Jucker, Jean-Baptiste Juhel, Kadarusman, Virginie Marques, Laëtitia Mathon, David Mouillot, Marie Orblin, Loïc Pellissier, Raphaël Seguin, Hagi Yulia Sugeha, Alice Valentini, Laure Velez, Indra Bayu Vimono, Fabien Leprieur, Stéphanie Manel Assessing species geographic distributions is critical to approximate their ecological niches, understand how global change may reshape their occurrence patterns, and predict their extinction risks. Yet, species records are over-aggregated across taxonomic, geographic, environmental, and anthropogenic dimensions. The under-sampling of remote locations biases the quantification of species geographic distributions and ecological niche for most species. Here, we used nearly one thousand environmental DNA (eDNA) samples across the world’s oceans, including polar regions and tropical remote islands, to determine the extent to which the geographic and ecological niche ranges of marine fishes are underestimated through the lens of global occurrence records based on conventional surveys. Our eDNA surveys revealed that the known geographic ranges for 93% of species and the ecological niche ranges for 7% of species were underestimated, and contributed to filling them. We show that the probability to detect a range filling for a given species is primarily shaped by the GBIF/OBIS sampling effort in a cell, but also by the number of occurrences available for the species. Most gap fillings were achieved by addressing a methodological sampling bias, notably when eDNA facilitated the detection of small fishes in previously sampled locations using conventional methods. Using a machine learning model, we found that a local effort of 10 eDNA samples would detect 24 additional fish species on average and a maximum of 98 species in previously unsampled tropical areas. Yet, a null model revealed that only half of ecological niche range fillings would be due to eDNA surveys, beyond a random allocation of classical sampling effort. Altogether, our results suggest that sampling in remote areas and performing eDNA surveys in over-sampled areas may both increase fish ecological niche ranges toward unexpected values with consequences in biodiversity modeling, management, and conservation.

Behavioural ecologists aim to understand the causes of animal social structure. Connecting theoretical models of social structure with empirical observations remains, however, a formidable challenge. While most of the current statistical methods for animal social network analysis rely on data that are aggregated over time and summarised as one behavioural dimension (e.g., an adjacency-matrix), common behavioural sampling techniques (e.g., focal-animal sampling) produce data in continuous time, and involve different behaviours. Furthermore, empiricists in the field are generally interested in causal inference, but lack a framework to rigorously analyse focal-animal sampling data in light of transparent causal assumptions. As a consequence, common methods are often inappropriate, and can lead to wrong biological conclusions. Here, we introduce a causal Bayesian modelling framework to empirically study the causes of social network structure from focal-animal sampling data. We start by outlining a generative model that encodes how biological and measurement processes jointly produce social network data in continuous time; namely, as a temporal sequence of dyadic behavioural states (e.g., no body contact, social resting, grooming). Building upon the generative model, we develop a statistical model: a multilevel, multiplex Bayesian model that takes raw focal observations as input, and produces a posterior probability distribution for the generative parameters as output. After validating the statistical model's performance with sparse data--common in real-world settings--we illustrate its application with an empirical data set collected in wild Assamese macaques. We notably showcase how researchers can compute probabilistic estimates for well-defined causal hypotheses about the drivers of social structure. With this work, we not only contribute novel theoretical and statistical tools to the field, but also illustrate a workflow that allows researchers to iteratively translate their domain expertise into a formal analytical strategy--bridging theoretical and empirical research in behavioural ecology.

Cytokines play a crucial role in immune system regulation, mediating responses from pathogen defense to tissue-damaging inflammation. Excessive cytokine production is implicated in severe conditions such as cancer progression, hemophagocytic lymphohistiocytosis, and severe cases of Coronavirus disease-2019 (COVID-19). Studies have shown that cytokine expression profiles serve as biomarkers for disease severity and mortality prediction, with machine learning (ML) methods increasingly employed for predictive analysis. To improve patient outcome predictions, treatment adaptation, and survival rates, longitudinal analysis of cytokine profiles is essential. Time-series cytokine profiling has been linked to tumor response, overall survival in various cancers, and acute encephalopathy. Similarly, COVID-19 severity and patient outcomes correlate with cytokine expression dynamics over time. However, challenges remain due to the limited availability of time-series cytokine data, restricting broader experimental applications and robust predictive modeling. Recent advancements indicate that cytokine expression can be computationally inferred using gene expression data and transcription factor interactions. Inferring cytokine levels from existing gene expression datasets could enhance early disease detection and treatment response predictions while reducing profiling costs. This work proposes TSCytoPred, a deep learning-based model trained on time-series gene expression data to infer cytokine expression trajectories. TSCytoPred identifies genes relevant for predicting target cytokines through interaction relationships and high correlation. These identified genes are subsequently utilized in a neural network incorporating an interpolation block to estimate cytokine expression trajectories between observed time points. Performance evaluations using a COVID-19 dataset demonstrate that TSCytoPred significantly outperforms baseline regression methods, achieving the highest coefficient of determinataion (R2) and the lowest mean absolute error (MAE). Furthermore, cytokine data inferred by TSCytoPred enhances COVID-19 patient severity risk predictions, demonstrating the model’s clinical utility. TSCytoPred can be effectively applied to datasets with limited time points and accommodates longitudinal datasets containing irregular temporal gaps, thereby enhancing disease outcome analysis such as in COVID-19 cases and expanding the applicability of multi-omics datasets in rare disease contexts with missing multi-omics samples. TSCytoPred is publicly available at https://github.com/joungmin-choi/TSCytoPred.

The light/dark box test can be used to assess visual function in rodents based on their spontaneous behavior in response to light. Commonly used assay relies on a single behavioral metric, dwell time in the light or dark compartment, which may be influenced by factors other than vision, leading to unreliable assessment results. To overcome this, we developed a multi-feature machine learning paradigm by extracting multiple mouse behavioral metrics, standardizing them as features to train machine learning models, thereby achieving reliable and automated vision assessment. We systematically compared the classification performance of single-metric versus multi-feature machine learning approaches in sighted and blind mice, using wild-type and rhodopsin-deficient mice, with a subset further subjected to double optic nerve crush. We found that the multi-feature method can improve classification performance and exhibit great robustness to different experimental settings. Additionally, we further improved model performance by applying feature importance analysis and constructing an optimized feature subset. These findings suggest that the reliability of commonly used single dwell time measure for vision assessment could become unreliable, as shown in our experiment, probably because in addition to vision other factors also impact dwell time. Our study demonstrated an improved assessment method based on a combination of multiple behavior features through machine learning.

Nature Communications, Published online: 10 November 2025; doi:10.1038/s41467-025-64832-xThis study reveals that transcription factors DAF-16/FOXO and HLH-30/TFEB promote healthy aging in C. elegans, in part, by activating lipid metabolism genes that remodel lysosomes into tubular networks.

Research and public attention on violence directed toward school teachers are increasing. Yet to date, our knowledge on violence against teachers is limited, because most research has focused on student-perpetrated violence, largely overlooking the aggression directed at teachers by parents. To fill this gap in knowledge, this study used a qualitative approach based on in-depth semistructured interviews with 46 teachers, school leaders and policy-level managers to explore the phenomenon of parents’ violence against teachers, including manifestation of the problem, risk factors, and effective coping strategies. Following the principles of grounded theory, the results suggest that parents’ violence toward teachers takes various forms, mostly rudeness, shouting, intimidation, and verbal threats. These behaviors create complex challenges that affect teachers both personally and professionally, requiring coping mechanisms at the societal, school, community and individual levels. Effective strategies encompass improving the social and organizational climate in schools, providing mentoring and support, offering conflict management training for educators, and implementing comprehensive family–school partnership policies at the school level. Implications for research and policy are discussed.

The implicit goal of longitudinal observations of animal groups is to identify individuals and to reliably detect their behaviors, including their vocalizations. Yet, to segment fast behaviors and to extract individual vocalizations from sound mixtures remain challenging problems. Promising approaches are systems that record behaviors with multiple cameras, microphones, and animal-borne wireless sensors. Good systems extract from such multimodal signals perfectly synchronized data streams. In this vein, we designed a modular system (BirdPark) for simultaneously recording small animals wearing custom low-power frequency-modulated radio transmitters. Our custom software-defined radio receiver makes use of a multi-antenna demodulation technique that eliminates data losses due to radio signal fading and that increases the signal-to-noise ratio of the received radio signals by 6.5 dB compared to demodulation from the best single-antenna. Digital acquisition of all data streams relies on a single clock, which offers accurate cross-modal redundancies that can be used to dissect rapid behaviors on time scales well below the video frame period. We demonstrate this feat by reconstructing the wing-stroke phases of free-flying songbirds and by separating the vocalizations among up to eight vocally interacting birds. In conclusion, our work paves the way for automatically dissecting complex social behaviors.

by René Aquarius, Merel van de Voort, Hieronymus D. Boogaarts, P. Manon Reesink, Kimberley E. Wever Scientific progress relies on science’s capacity for self-correction. If erroneous articles remain unchallenged in the publication record, they can mislead future research and undermine evidence-based decision-making. All articles included in a systematic review of animal studies on early brain injury after subarachnoid hemorrhage were analyzed for image-related issues. We included 608 articles, of which 243 articles were identified as problematic (40.0%). Of the 243 problematic articles, 55 (22.6%) have been corrected, 7 (2.9%) have received an expression of concern, 5 (2.1%) were marked with the Taylor & Francis under investigation pop-up, and 19 (7.8%) were retracted. In 9 of the 55 corrected articles (16.4%), new problems were found after correction or not all issues were resolved in the correction. Most (n = 213, 87.7%) problematic articles had a corresponding author affiliated to an institute from China. Our results show that the self-correcting mechanisms in science have stalled in this field of research. Our findings provide insight in the prevalence of image-related issues and can help publishers to take appropriate action. We can only uphold science’s capacity for self-correction when problematic articles are actively identified by peers, and when publishers take swift and adequate action to repair the scientific record.

Brain and Behavior, Volume 15, Issue 11, November 2025.

Proceedings of the National Academy of Sciences, Volume 122, Issue 44, November 2025. SignificanceThis study reveals a role of pheromone-binding protein 4 (PBP4) in moth reproduction. Unlike its ancestral olfactory function, PBP4 is expressed specifically in male accessory glands (MAGs), transferred to females during mating, and enhances ...