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40 results for “mutualistic interactions”
Data from: Functional outcomes of mutualistic network interactions: a community-scale study of frugivore gut passage on germination
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Data from: From structure to function in mutualistic interaction networks: topologically important frugivores have greater potential as seed dispersers
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Data from: Importance of soil legacy effects and successful mutualistic interactions during Australian acacia invasions in nutrient poor environments
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Forest fragmentation effects on mutualistic interactions: Frugivorous birds and fruiting trees
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Data from: Evolutionary history shapes patterns of mutualistic benefit in Acacia-rhizobial interactions
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Data from: Loss of top-down biotic interactions changes the relative benefits for obligate mutualists
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Data from: Context-dependent interactions between pathogens and a mutualist affect pathogen fitness and mutualist benefits to hosts
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Data from: Phylogenetic and experimental tests of interactions among mutualistic plant defense traits in Viburnum (Adoxaceae)
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Data from: Mutualisms in a warming world—how increased temperatures affect the outcomes of multi-mutualist interactions
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Data from: Interactions between functionally diverse fungal mutualists inconsistently affect plant performance and competition
Plants form mutualistic relationship with a variety of belowground fungal species. Such a mutualistic relationship can enhance plant growth and resistance to pathogens. Yet, we know little about how interactions between functionally diverse groups of fungal mutualists affect plant performance and competition. We experimentally determined the effects of interaction between two functional groups of belowground fungi that form mutualistic relationship with plants, arbuscular mycorrhizal (AM) fungi and Trichoderma, on interspecific competition between pairs of closely related plant species from four different genera. We hypothesized that the combination of two functionally diverse belowground fungal species would allow plants and fungi to partition their symbiotic relationships and relax plant‐plant competition. Our results show that: 1) the AM fungal species consistently outcompeted the Trichoderma species independent of plant combinations; 2) the fungal species generally had limited effects on competitive interactions between plants; 3) however, the combination of fungal species relaxed interspecific competition in one of the four instances of plant–plant competition, despite the general competitive superiority of AM fungi over Trichoderma. We highlight that the competitive outcome between functionally diverse fungal species may show high consistency across a broad range of host plants and their combinations. However, despite this consistent competitive hierarchy, the consequences of their interaction for plant performance and competition can strongly vary among plant communities.
Pharsalus repandus (Hemiptera: Ricaniidae) with mutualistic interaction with two species of Camponotus
<p>The ants who were attending the planthoppers was identified as <em>Camponotus rufipes</em> (Fabricius, 1775) and <em>Camponotus crassus</em> Mayr, 1862 (Fig. 2A, D, arrow 2). We noted direct contact and observed the ants employing antennal palpation behavior to stimulate the planthoppers. The ant positions itself just behind the planthopper, delicately and repeatedly touching its wings with the tips of its antennae. In response to this interaction, the planthopper gradually elevates its forewings, although they do not fully open, and the anal margins remain unseparated. Concurrently, a droplet of honeydew is released. Additionally, we observed the planthoppers reacting to the presence of ants walking nearby with an extremely rapid movement of the wings, even though there was no physical contact between them.</p>
Cheating interactions favor modularity in mutualistic networks
<p>A fundamental fact about mutualisms is that these mutually beneficial interactions often harbor cheaters that benefit from the use of resources and services without providing any positive feedback to the other players. The role of cheaters on the evolutionary dynamics of mutualisms has long been recognized, yet their broader consequences to the community level, and beyond species they interact with, is still poorly understood. Because mutualisms form networks that often involve dozens to hundreds of species, indirect effects generated by cheaters may cascade through the whole community, reshaping trait evolution. Here, we study how harboring cheating interactions can influence coevolution in mutualistic networks. We combine a coevolutionary model, empirical data on animal-plant mutualistic networks, and numerical simulations and show that a higher frequency of cheating interactions in a network can lead to the formation of groups of species phenotypically similar to each other and distinct from other groups, generating higher trait disparity. The resulting clustered trait patterns, in turn, change the patterns of interaction in simulated networks, fostering the formation of modules of interacting species. Our results indicate that cheaters contribute to generate phenotypic clusters in mutualistic networks, counteracting selection for convergence imposed by mutualists, and favoring the emergence of modules of interacting species. Based on these results, we suggest that cheaters might be a fundamental element for our understanding of the evolution of mutualistic networks.</p>
Intraspecific variation in species interactions promotes the feasibility of mutualistic assemblages
<p>Dataset associated with the manuscript "Intraspecific variation in species interactions promotes the feasibility of mutualistic assemblages" (Arroyo-Correa et al. 2023)</p>
Data from: Dealing with mutualists and antagonists: specificity of plant-mediated interactions between herbivores and flower visitors, and consequences for plant fitness
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Data from: Interactions between functionally diverse fungal mutualists inconsistently affect plant performance and competition
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Data from: Decoupled post-glacial history in mutualistic plant-insect interactions: insights from the yellow loosestrife (Lysimachia vulgaris) and its associated oil-collecting bees (Macropis europaea and M. fulvipes)
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Competitive Inhibition and Mutualistic Growth in Polymicrobial Infections: Deciphering Staphylococcus aureus – Acinetobacter baumannii Interaction Dynamics
GEO Series GSE250252. Acinetobacter baumannii A118; Staphylococcus aureus subsp. aureus USA300. 16 samples. Type: Expression profiling by high throughput sequencing.
Identification of Populus small RNAs responsive to mutualistic interactions with mycorrhizal fungi, Laccaria bicolor and Rhizophagus irregularis
GEO Series GSE117158. Populus trichocarpa; Populus deltoides. 18 samples. Type: Non-coding RNA profiling by high throughput sequencing.
A resilient mutualistic interaction between cucumber mosaic virus and its natural host Arabidopsis halleri to adapt to an environmental change
GEO Series GSE197739. Arabidopsis halleri. 12 samples. Type: Expression profiling by high throughput sequencing.
Vegetative traits, floral biology, and mutualistic interactions in the tropical mountain shrub Ribes ciliatum (Grossulariaceae)
<p>This data set includes measurements of <span>the vegetative and reproductive traits of <em>Ribes ciliatum</em></span> in fir and subalpine forests at Nevado de Colima National Park, Mexico.</p>
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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.