Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
128
datasets available to search
ShareScore release 0.9.0
Dataset results
128 results for “Social evolution”
Data from: Social network architecture and the tempo of cumulative cultural evolution
Open the record for dataset details and reuse information.
Evolutionary advantage of guilt: Co-evolution of social and non-social guilt in structured populations
Open the record for dataset details and reuse information.
Data for: Termite nest evolution fostered social parasitism by termitophilous rove beetles
Open the record for dataset details and reuse information.
Evolution of conditional cooperation in collective-risk social dilemma with repeated group interactions
Open the record for dataset details and reuse information.
Group augmentation underlies the evolution of complex sociality in the face of environmental instability
Open the record for dataset details and reuse information.
Data from: A caste differentiation mutant elucidates the evolution of socially parasitic ants
Open the record for dataset details and reuse information.
The evolution of marsupial social organization
Open the record for dataset details and reuse information.
Social environment and the evolution of delayed reproduction in birds
Open the record for dataset details and reuse information.
Data from: The evolution of sex similarities in social signals: Climatic seasonality is associated with lower sexual dimorphism and greater elaboration of female and male signals in antbirds (Thamnophilidae)
Open the record for dataset details and reuse information.
Data from: Gene expression correlates of social evolution in coral reef butterflyfishes
<p>Animals display remarkable variation in social behavior. However, outside of rodents, little is known about the neural mechanisms of social variation, and whether they are shared across species and sexes, limiting our understanding of how sociality evolves. Using coral reef butterflyfishes, we examined gene expression correlates of social variation (i.e., pair bonding vs. solitary living) within and between species and sexes. In several brain regions, we quantified gene expression of receptors important for social variation in mammals: oxytocin (<i>OTR</i>), arginine vasopressin (<i>V1aR</i>), dopamine (<i>D1R, D2R</i>), and mu-opioid (<i>MOR</i>). We found that social variation across individuals of the oval butterflyfish, <i>Chaetodon lunulatus,</i> is linked to differences in <i>OTR</i>,<i>V1aR, D1R, D2R, </i>and <i>MOR</i> gene expression within several forebrain regions in a sexually dimorphic manner. However, this contrasted with social variation among six species representing a single evolutionary transition from pair bonded to solitary living. Here, <i>OTR </i>expression within the supracommissural part of the ventral telencephalon was higher in pair bonded than solitary species, specifically in males. These results contribute to the emerging idea that nonapeptide, dopamine, and opioid signaling is a central theme to the evolution of sociality across individuals, although the precise mechanism may be flexible across sexes and species.</p>
Biogeography and evolution of social parasitism in Australian Myrmecia bulldog ants revealed by phylogenomics
<p>Studying the historical biogeography and life history transitions from eusocial colony life to social parasitism contributes to our understanding of the evolutionary mechanisms generating biodiversity in eusocial insects. The bulldog ants in the genus <em>Myrmecia</em> are a well-suited system for testing competing evolutionary hypotheses about how their species diversity was assembled through time because the genus is endemic to Australia with the single exception of the species <em>Myrmecia apicalis </em>inhabiting the Pacific Island of New Caledonia and because at least one social parasite species exists in the genus. However, the evolutionary mechanisms underlying the disjunct biogeographic distribution of <em>M. apicalis</em> and the life history transition(s) to social parasitism remain unexplored. To study the biogeographic origin of the isolated, oceanic species <em>M. apicalis</em> and to reveal the origin and evolutionary history of social parasitism in the genus, we reconstructed a comprehensive phylogeny of the ant subfamily Myrmeciinae. We utilized Ultra Conserved Elements (UCEs) as molecular markers to generate a comprehensive molecular genetic dataset consisting of 2,287 loci per taxon on average for 66 out of the 93 known <em>Myrmecia </em>species as well as for the sister lineage <em>Nothomyrmecia macrops</em> and selected outgroup taxa. Our time-calibrated phylogeny inferred that: (i) stem myrmeciine ants originated during the Paleocene ~58 Ma ago; (ii) the current disjunct biogeographic distribution of <em>M. apicalis </em>was driven by long-distance dispersal from Australia to New Caledonia during the Miocene ~14 Ma ago; (iii) the single social parasite species, <em>M. inquilina</em>, exploits three host species and evolved directly from one of the known host species, <em>M. nigriceps</em>, most likely via the intraspecific route of social parasite evolution in sympatry; and (iv) 5 of the 9 previously established taxonomic species groups are non-monophyletic. We suggest minor changes to reconcile the molecular phylogenetic results with the taxonomic classification. Our study enhances our understanding of the evolution and biogeography of Australian bulldog ants in the genus <em>Myrmecia</em>, contributes to our knowledge about the evolution of social parasitism in ants, and provides a solid phylogenetic foundation for future inquiries </p>
Dataset of ""Statistical atlases and automatic labelling strategies to accelerate the analysis of social insect brain evolution"
<p>Dataset of <em>Statistical atlases and automatic labelling strategies to accelerate the analysis of social insect brain evolution</em> by Sara Arganda, Ignacio Arganda-Carreras, Darcy G. Gordon, Andrew P. Hoadley, Alfonso Pérez-Escudero, Martin Giurfa and James F. A. Traniello.</p> <p>In this dataset, we are presenting:</p> <ul> <li>10 confocal brain images from <em>Pheidole spadonia </em>minors (in the original confocal TIFF format and in the open NRRD format), with manually segmented labels of 8 subregions (Optic Lobes, OL; Antennal Lobes, AL; Mushroom Body Medial Calyx, MB-MC; Mushroom Body Lateral Calyx, MB-LC; Mushroom Body Peduncle, MB-P; Central Complex, CX; Subesophageal zone, SEZ; and Rest of Central Brain, ROCB – in NRRD format) from one expert annotator.</li> <li>12 confocal brain images from <em>P. spadonia</em>, <em>P. rhea</em>, <em>P. tepicana</em> and <em>P. obtusospinosa</em> minors, with manually segmented labels of the same 8 subregions (OL; AL; MB-MC; MB-LC; MB-P; CX; SEZ; and ROCB) from one expert annotator.</li> <li>5 confocal brain images from <em>Pheidole spadonia </em>minors (“test brains”), with five sets of manually segmented labels of the same 8 subregions (OL; AL; MB-MC; MB-LC; MB-P; CX; SEZ; and ROCB) from three expert annotators (one set from annotator 1, one set from annotator 2 and three sets from annotator 3, to evaluate inter and intra person differences).</li> <li>1 group-wise template generated from the 10 confocal brain images from <em>Pheidole spadonia </em>minors, with three sets of manually segmented labels of the same 8 subregions (OL; AL; MB-MC; MB-LC; MB-P; CX; SEZ; and ROCB).</li> <li>5 group-wise templates generated from the 9 confocal brain images from <em>Pheidole spadonia </em>minors, with consensus labels of the same 8 subregions (OL; AL; MB-MC; MB-LC; MB-P; CX; SEZ; and ROCB).</li> <li>1 group-wise template generated from 12 confocal brain images from <em>P. spadonia</em>, <em>P. rhea</em>, <em>P. tepicana</em> and <em>P. obtusospinosa</em> minors, with consensus labels of the same 8 subregions (OL; AL; MB-MC; MB-LC; MB-P; CX; SEZ; and ROCB).</li> <li>7 sets of automatic labels for the 5 “test brains”: 3 sets of “Direct Labels”, 3 sets of “Consensus Labels”, 1 set of “Multispecies Template Labels”.</li> </ul> <p>Brain of minor workers were dissected from the ant head capsule in ice cold HEPES-buffered saline and were fixed and immunohistochemically stained using SYNORF1 (a monoclonal <em>Drosophila</em> synapsin I antibody obtained from the Developmental Studies Hybridoma Bank, catalog 3C11) and secondarily stained using Alexa Fluor 488 for visualization of neuropil (slightly modified from Ott, 2008). Later, brains were mounted in methyl salicylate and imaged on an Olympus Fluoview BX50 laser scanning confocal microscope with a ×20 objective at a resolution of ~0.7 × 0.7 × 5µm/voxel. All brain tissue manipulation, staining and recording was performed by Darcy G. Gordon. Brain images were obtained in TIFF format by the confocal microscope and then opened and saved as Amira Mesh (.am) stack images in Amira (version 6.0). Manual segmentation of each brain was done using Amira (version 6.0 or 2019.2). Labels were traced on eight compartments in only one brain hemisphere, except for the CX, SEZ and ROCB, which lack a clear subdivision between hemispheres. Brain grey image stacks and labels were transformed to NRRD format for template construction using the Fiji plugin SaveAsGzipNrrd<a href="#_ftn1">[1]</a>. Volume and volume similarity of labels were calculated using the Fiji toolbox MorphoLibJ<a href="#_ftn2">[2]</a>.</p> <p><strong>Acknowledgements: </strong>We thank Ming Huang (from Dr. Diana Wheeler’s laboratory) who kindly provided access to colonies from four species of the hyperdiverse ant genus <em>Pheidole</em> (<em>P. spadonia</em>, <em>P. rhea</em>, <em>P. tepicana </em>and <em>P. obtusospinosa</em>). This research was supported by National Science Foundation grants IOS 1354291 and IOS 1953393 to JT, a Marie Skłodowska-Curie Individual Fellowship BrainiAnts-660976 and Ayudas destinadas a la atracción de talento investigador a la Comunidad de Madrid en centros de I+D. This work is supported in part by the University of the <a href="https://www.sciencedirect.com/topics/engineering/basque-country">Basque Country</a> UPV/EHU grant GIU19/027.</p> <p> </p> <p><a href="#_ftnref1">[1]</a> https://github.com/iarganda/tefor</p> <p><a href="#_ftnref2">[2]</a> https://imagej.net/plugins/morpholibj</p>
Social evolution of shared biofilm matrix components
<p>Biofilm formation is an important and ubiquitous mode of growth among bacteria. Central to the evolutionary advantage of biofilm formation is cell-cell and cell-surface adhesion achieved by a variety of factors, some of which are diffusible compounds that may operate as classical public goods – factors that are costly to produce but may benefit other cells. An outstanding question is how diffusible matrix production, in general, can be stable over evolutionary timescales. In this work, using Vibrio cholerae as a model, we show that shared diffusible biofilm matrix proteins are indeed susceptible to cheater exploitation, and that the evolutionary stability of producing these matrix components fundamentally depends on biofilm spatial structure, intrinsic sharing mechanisms of these components, and flow conditions in the environment. We further show that exploitation of diffusible adhesion proteins is localized within a well-defined spatial range around cell clusters that produce them. Based on this exploitation range and the spatial distribution of cell clusters, we construct a model of costly diffusible matrix production and relate these length scales to the relatedness coefficient in social evolution theory. Our results show that production of diffusible biofilm matrix components is evolutionarily stable under conditions consistent with natural biofilm habitats and host environments. We expect the mechanisms revealed in this study to be relevant to other secreted factors that operate as cooperative public goods in bacterial communities, and the concept of exploitation range and the associated analysis tools to be generally applicable.</p>
Data from: The evolution of sex roles: The importance of ecology and social environment
<p>Males and females often have different roles in reproduction, although the origin of these differences have remained controversial. Explaining the enigmatic reversed sex roles where males sacrifice their mating potential and provide full parental care is a particularly long-standing challenge in evolutionary biology. While most studies focused on ecological factors as the drivers of sex roles, recent research highlights the significance of social factors such as the adult sex ratio. To disentangle these propositions, here we investigate the additive and interactive effects of several ecological and social factors on sex role variation using shorebirds (sandpipers, plovers and allies) as model organisms that provide the full spectrum of sex role variation including some of the best known examples of sex role reversal. Our results consistently show that social factors play a prominent role in driving sex roles. Importantly, we show for the first time that reversed sex roles are associated with both male-skewed adult sex ratios and high breeding densities. Furthermore, phylogenetic path analyses provide the first general support for sex ratios driving sex role variations rather than being a consequence of sex roles. Together, these novel results open a new research direction by showing that different mating opportunities of males and females play a major role in generating the evolutionary diversity of sex roles, mating system and parental care.</p>
Data files for: Reproductive and ecological adaptations to climate underpin the evolution of sociality in lizards
<p>This repository contains data files and R code neccessary to reproduce the analyses presented in "Reproductive and ecological adaptations to climate underpin the evolution of sociality in lizards" by Halliwell et al.</p> <p>The .R file calls other files within the repository. The .xlsx contains supplementary information regarding data sources.</p>
Ecology drives the evolution of diverse social strategies in Pseudomonas aeruginosa
<p><span>Bacteria often cooperate by secreting molecules that can be shared as public goods between cells. Because the production of public goods is subject to cheating by mutants that exploit the good without contributing to it, there has been great interest in elucidating the evolutionary forces that maintain cooperation. However, little is known on how bacterial cooperation evolves under conditions where cheating is unlikely of importance. Here we use experimental evolution to follow changes in the production of a model public good, the iron-scavenging siderophore pyoverdine, of the bacterium <i>Pseudomonas aeruginosa</i>. After 1200 generations of evolution in nine different environments, we observed that cheaters only reached high frequency in liquid medium with low iron availability. Conversely, when adding iron to reduce the cost of producing pyoverdine, we observed selection for pyoverdine hyper-producers. Similarly, hyper-producers also spread in populations evolved in highly viscous media, where relatedness between interacting individuals is increased. Whole-genome sequencing of evolved clones revealed that hyper-production is associated with mutations involving genes encoding quorum-sensing communication systems, while cheater clones had mutations in the iron-starvation sigma factor or in pyoverdine biosynthesis genes. Our findings demonstrate that bacterial social traits can evolve rapidly in divergent directions, with particularly strong selection for increased levels of cooperation occurring in environments where individual dispersal is reduced, as predicted by social evolution theory. Moreover, we establish a regulatory link between pyoverdine production and quorum-sensing, showing that increased cooperation with respect to one trait (pyoverdine) can be associated with the loss (quorum-sensing) of another social trait.Bacteria often cooperate by secreting molecules that can be shared as public goods between cells. Because the production of public goods is subject to cheating by mutants that exploit the good without contributing to it, there has been great interest in elucidating the evolutionary forces that maintain cooperation. However, little is known on how bacterial cooperation evolves under conditions where cheating is unlikely of importance. Here we use experimental evolution to follow changes in the production of a model public good, the iron-scavenging siderophore pyoverdine, of the bacterium <i>Pseudomonas aeruginosa</i>. After 1200 generations of evolution in nine different environments, we observed that cheaters only reached high frequency in liquid medium with low iron availability. Conversely, when adding iron to reduce the cost of producing pyoverdine, we observed selection for pyoverdine hyper-producers. Similarly, hyper-producers also spread in populations evolved in highly viscous media, where relatedness between interacting individuals is increased. Whole-genome sequencing of evolved clones revealed that hyper-production is associated with mutations involving genes encoding quorum-sensing communication systems, while cheater clones had mutations in the iron-starvation sigma factor or in pyoverdine biosynthesis genes. Our findings demonstrate that bacterial social traits can evolve rapidly in divergent directions, with particularly strong selection for increased levels of cooperation occurring in environments where individual dispersal is reduced, as predicted by social evolution theory. Moreover, we establish a regulatory link between pyoverdine production and quorum-sensing, showing that increased cooperation with respect to one trait (pyoverdine) can be associated with the loss (quorum-sensing) of another social trait.</span></p>
Fig. 8 in On ''Molecular Phylogeny of Vespidae (Hymenoptera) and the Evolution of Sociality in Wasps''
Fig. 8. Screen display of first step in realignment. See text for explanation of gap insertion.
Fig. 9 in On ''Molecular Phylogeny of Vespidae (Hymenoptera) and the Evolution of Sociality in Wasps''
Fig. 9. Screen display of second step in realignment. See text for explanation of gap insertion.
Fig. 1. Cladogram for the 16S in On ''Molecular Phylogeny of Vespidae (Hymenoptera) and the Evolution of Sociality in Wasps''
Fig. 1. Cladogram for the 16S mtrDNA alignment of Schmitz and Moritz (1998). The length is
Within-generation and transgenerational social plasticity interact during rapid adaptive evolution
<p>The effects of within-generation plasticity versus transgenerational plasticity on trait expression are poorly understood, but important for evaluating plasticity's evolutionary consequences. We tested how genetics, within-generation plasticity, and transgenerational plasticity jointly shape traits influencing rapid evolution in the field cricket <em>Teleogryllus oceanicus</em>. In Hawaiian populations attacked by acoustically-orienting parasitoid flies, a protective, X-linked variant ("<em>flatwing</em>") eliminates male acoustic sexual signals. Silent males rapidly spread to fixation, dramatically changing the acoustic environment. First, we found evidence supporting <em>flatwing</em>-associated pleiotropy in juveniles: pure-breeding <em>flatwing</em> males and females exhibit greater locomotion than those with <em>normal-wing</em> genotypes. Second, within-generation plasticity caused homozygous-<em>flatwing</em> females developing in silence, which mimics all-<em>flatwing</em> populations, to attain lower adult body condition and reproductive investment than those experimentally exposed to song. Third, maternal song exposure caused transgenerational plasticity in offspring, affecting adult, but not juvenile, size, condition, and reproductive investment. This contrasted with behavioral traits, which were only influenced by within-generation plasticity. Fourth, we matched and mismatched maternal and offspring social environments and found that transgenerational plasticity sometimes interacted with within-generation plasticity and sometimes opposed it. Our findings stress the importance of evaluating the plasticity of different traits and stages across generations when evaluating their fitness consequences and role in adaptation.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.