Animal Behavior and Cognition

eLife assessment

This paper provides valuable insights into the consequences of hydrogen sulfide (H2S) exposure on the behavior and physiology of the nematode C. elegans. While solid evidence supports most of the paper's findings, the evidence that H2S is detected by the nervous system to mediate behavioral avoidance is incomplete. The paper provides a wide range of intriguing observations that could serve as a foundation for future work to synthesize these disparate results or provide insight into the mechanisms of H2S detection in C. elegans.

eLife Assessment

This study provides a valuable examination of the social discrimination abilities of a jumping spider, Phippidus regius, based on visual cues. Behavioral essays yielded solid evidence that these spiders discriminate between familiar and unfamiliar individuals on the basis of visual cues, however the experimental support for individual recognition and long-term memory is incomplete. While the results supply evidence of discrimination, additional experiments would be needed to verify the evidence of individual recognition.

eLife Assessment

This fundamental work significantly advances our understanding of gravity sensing and orientation behavior in the ctenophore, an animal of major importance in understanding the evolution of nervous systems. Through comprehensive reconstruction with volumetric electron microscopy, and time-lapse imaging of cilia motion, the authors provide compelling evidence that the aboral nerve net coordinates the activity of balancer cilia. The resemblance to the ciliomotor circuit in marine annelids provides a fascinating example of how neural circuits may convergently evolve to solve common sensorimotor challenges.

eLife Assessment

This valuable model-based study seeks to mimic bat echolocation behavior and flight under conditions of high interference, such as when large numbers of bats leave their roost together. Although some of the assumptions made in the model may be questioned, the simulations convincingly suggest that the problem of acoustic jamming in these situations may be less severe than previously thought. This finding will be of broad interest to scientists working in the fields of bat biology and collective behaviour.

eLife Assessment

This useful study develops an individual-based model to investigate the evolution of division of labor in vertebrates, comparing the contributions of group augmentation and kin selection. The model incorporates several biologically relevant features, including age-dependent task switching and separate manipulation of relatedness and group-size benefits. However, the evidence remains inadequate to support the authors' central claim that group augmentation is the primary driver of vertebrate division of labor. Key modelling assumptions-such as floater dominance advantages, the absence of task synergy, and the narrow parameter space explored-restrict the potential for kin selection to produce division of labor, thereby limiting the generality of the conclusions.

eLife Assessment

This paper reports a useful low-cost platform for studying mosquito behaviors such as flight activity, sugar feeding, and host-seeking responses over the course of several weeks, and demonstrates key applications of this platform. While the authors provide a biological proof of principle, the evidence that supports the validation of the tracking algorithm is incomplete; it lacks biological replicates, independent confirmation of the tracking algorithm, and data on mosquito survival.

eLife Assessment

This study reveals that female moths use ultrasonic sounds emitted by dehydrated plants to guide their oviposition decisions. It highlights sound as an additional sensory modality in host searching, adding an important piece to the puzzle of how insects and plants interact. Through convincing experimental approaches, the authors provide insights that advance our understanding of plant-insect interactions.

eLife Assessment

This important study introduces an advance in multi-animal tracking by reframing identity assignment as a self-supervised contrastive representation learning problem. It eliminates the need for segments of video where all animals are simultaneously visible and individually identifiable, and significantly improves tracking speed, accuracy, and robustness with respect to occlusion. This innovation has implications beyond animal tracking, potentially connecting with advances in behavioral analysis and computer vision. While the strength of support for these advances is solid overall, the presentation could be greatly improved for clarity and broader accessibility; in addition, incorporating more standard metrics in the multi-animal tracking literature would better benchmark the approach against other methods.

eLife Assessment

This manuscript describes a novel approach for assessing cognitive function in freely moving mice in their home-cage, without human involvement. The authors provide convincing evidence in support of the tasks they developed to capture a variety of complex behaviors and demonstrate the utility of a machine learning approach to expedite the acquisition of task demands. This work is important given its potential utility for other investigators interested in studying mouse cognition.

eLife Assessment

This study presents an important finding that ant nest structure and digging behavior depend on ant age demographics for a ground-dwelling ant species (Camponotus fellah). By asking whether ants employ age-polyethism in excavation, the authors address a long-standing question about how individuals in collectives determine the overall state of the task they must perform, and their results may prove to be a key consideration for interpreting results from other studies in the field of social insect behavior. The experimental evidence that the age of the ants and the group composition affect the digging of tunnels is solid, although some aspects of the modeling and certain analyses may benefit from further clarification regarding their added value to the core findings.