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222 results for “genetic interactions”
Data from: Virulence phenotypes result from interactions between pathogen ploidy and genetic background
<p>Studying fungal virulence is often challenging and frequently depends on many contexts, including host immune status and pathogen genetic background. However, the role of ploidy has often been overlooked when studying virulence in eukaryotic pathogens. Since fungal pathogens, including the human opportunistic pathogen <i>Candida albicans</i>, can display extensive ploidy variation, assessing how ploidy impacts virulence has important clinical relevance. As an opportunistic pathogen, <i>C. albicans</i> causes non-lethal, superficial infections in healthy individuals, but life-threatening bloodstream infections in individuals with compromised immune function. Here, we determined how both ploidy and genetic background of <i>C. albicans</i> impacts virulence phenotypes in healthy and immunocompromised nematode hosts by characterizing virulence phenotypes in four near-isogenic diploid and tetraploid pairs of strains, which included both laboratory and clinical genetic backgrounds. We found that <i>C. albicans</i> infections decreased host survival and negatively impacted host reproduction, and we leveraged these two measures to survey both lethal and non-lethal virulence phenotypes across the multiple <i>C. albicans</i> strains. In this study, we found that regardless of pathogen ploidy or genetic background, immunocompromised hosts were susceptible to fungal infection compared to healthy hosts. Furthermore, for each host context, we found a significant interaction between <i>C. albicans</i> genetic background and ploidy on virulence phenotypes, but no global differences between diploid and tetraploid pathogens were observed.</p>
Additive genetic effects in interacting species jointly determine the outcome of caterpillar herbivory
<p>Plant-insect interactions are common and important in basic and applied biology. Trait and genetic variation can affect the outcome and evolution of these interactions, but the relative contributions of plant and insect genetic variation and how these interact remain unclear and are rarely subject to assessment in the same experimental context. Here we address this knowledge gap using a recent host range expansion onto alfalfa by the Melissa blue butterfly. Common garden rearing experiments and genomic data show that caterpillar performance depends on plant and insect genetic variation, with insect genetics contributing to performance earlier in development and plant genetics later. Our models of performance based on caterpillar genetics retained predictive power when applied to a second common garden. Much of the plant genetic effect could be explained by heritable variation in plant phytochemicals, especially saponins, peptides, and phosphatidyl cholines, providing a possible mechanistic understanding of variation in the species interaction. We find evidence of polygenic, mostly additive effects within and between species, with consistent effects of plant genotype on growth and development across multiple butterfly species. Our results inform theories of plant-insect coevolution and the evolution of diet breadth in herbivorous insects and other host-specific parasites.</p>
Data from: Interacting effects of genetic variation for seed dormancy and flowering time on phenology, life history, and fitness of experimental Arabidopsis thaliana populations over multiple generations in the field
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Data from: A global genetic interaction network maps a wiring diagram of cellular function
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Data from: The impact of plant genetic variation, drought, and leaf nitrogen on plant-herbivore interactions
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Microscopy data from: Identification of genetic interactions with priB links the PriA/PriB DNA replication restart pathway to double-strand DNA break repair in Escherichia coli
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Genotype-environment interaction and the maintenance of genetic variation: an empirical study of Lobelia inflata (Campanulaceae)
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Data from: Genetics-based interactions of foundation species affect community diversity, stability, and network structure
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Data from: Genetic variation in mutualistic and antagonistic interactions in an invasive legume
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Additive genetic effects in interacting species jointly determine the outcome of caterpillar herbivory
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Data from: Virulence phenotypes result from interactions between pathogen ploidy and genetic background
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The potential for genotype-by-environment interactions to maintain genetic variation in a model legume–rhizobia mutualism
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Data from: Genetic responsiveness of African buffalo to environmental stressors: a role for epigenetics in balancing autosomal and sex chromosome interactions?
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Data from: Keratinocyte-TRPV1 sensory neuron interactions in a genetically controllable mouse model of chronic neuropathic itch
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Data from: Hybridization between genetically modified Atlantic salmon and wild brown trout reveals novel ecological interactions
Interspecific hybridization is a route for transgenes from genetically modified (GM) animals to invade wild populations, yet the ecological effects and potential risks that may emerge from such hybridization are unknown. Through experimental crosses, we demonstrate transmission of a growth hormone transgene via hybridization between a candidate for commercial aquaculture production, GM Atlantic salmon (Salmo salar), and closely related wild brown trout (S. trutta). Transgenic hybrids were viable and grew more rapidly than transgenic salmon and other non-transgenic crosses in hatchery-like conditions. In stream mesocosms designed to more closely emulate natural conditions, transgenic hybrids appeared to express competitive dominance and suppressed the growth of transgenic and non-transgenic (wild-type) salmon by 82% and 54%, respectively. To the best of our knowledge, this is the first demonstration of environmental impacts of hybridization between a GM animal and a closely related species. These results provide empirical evidence of the first steps towards introgression of foreign transgenes into the genomes of new species and contribute to the growing evidence that transgenic animals have complex and context-specific interactions with wild populations. We suggest that interspecific hybridization be explicitly considered when assessing the environmental consequences should transgenic animals escape to nature.
Data from: Genetic variation in resistance and fecundity tolerance in a natural host-pathogen interaction
Individuals vary in their ability to defend against pathogens. Determining how natural selection maintains this variation is often difficult, in part because there are multiple ways that organisms defend themselves against pathogens. One important distinction is between mechanisms of resistance that fight off infection, and mechanisms of tolerance that limit the impact of infection on host fitness without influencing pathogen growth. Theory predicts variation among genotypes in resistance, but not necessarily in tolerance. Here, we study variation among pea aphid (Acyrthosiphon pisum) genotypes in defense against the fungal pathogen Pandora neoaphidis. It has been well established that pea aphids can harbor symbiotic bacteria that protect them from fungal pathogens. However, it is unclear whether aphid genotypes vary in defense against Pandora in the absence of protective symbionts. We therefore measured resistance and tolerance to fungal infection in aphid lines collected without symbionts, and found variation among lines in survival and in the percent of individuals that formed a sporulating cadaver. We also found evidence of variation in tolerance to the effects of pathogen infection on host fecundity, but no variation in tolerance of pathogen-induced mortality. We discuss these findings in light of theoretical predictions about host-pathogen coevolution.
Data from: Interspecific hybridisation and interaction with cultivars affect the genetic variation of Ulmus minor and U. glabra in Flanders
Interspecific hybridisation and gene flow from cultivated plants may have profound effects on the evolution of wild species. Considering the cultural history and past use of U. minor and U. glabra trees in Flanders (northern Belgium), we investigated the extent of human impact on the genetic variation of the remaining, supposedly indigenous elm populations. We therefore examined the rate of interspecific hybridisation, which is expected to be higher under human influence, the occurrence of clones within and among locations, the presence of cultivars and their possible offspring. Based on results produced using 385 Amplified Fragment Length Polymorphic (AFLP) markers, 46% of the 106 investigated Flemish elms appeared to be F1 hybrids or backcrosses to one of the parent species, while no F2 hybrids (F1 x F1 progeny) were found. Clonality was mainly found among U. minor and hybrids, which are more likely to form root suckers or sprouts as opposed to U. glabra. The majority of the studied locations (76% of the locations with multiple samples) showed evidence of clonal reproduction. Several, sometimes distant, locations shared a multilocus lineage. We also found indications of gene flow from cultivated elms into native species. It is conceivable that reproductive material has been moved around extensively, obscuring the natural genetic structure of the elm populations. The results help guide the Flemish elm genetic resources conservation program.
Data from: Genetic variation in invasive species response to direct and indirect species interactions
Biotic resistance to invasion arises from strong species interactions that decrease the fitness and population growth rates of potential invaders. Strong, direct interactions such as predation and competition are typically thought to drive biotic resistance, but in diverse communities, indirect interactions among species may also affect biotic resistance. Further, genetic variation in traits of the invading species that affect species interactions may allow some genotypes to overcome biotic resistance. We investigated the direct and indirect effects of a native legume (Acmispon wrangelianus) and insect herbivores on the fitness of different genotypes of an invasive legume (Medicago polymorpha) in a California grassland. Insect herbivores decreased Medicago fitness, but only in the presence of Acmispon, suggesting that indirect interactions mediated through insects and Acmispon are important for deterring Medicago invasion. Some Medicago genotypes were less affected by interactions with other species, however. This genetic variance suggests that while biotic resistance reduced the reproductive success of most genotypes, a few genotypes were able to overcome these complex interactions. However, Medicago invasion was unsuccessful in all treatments at several of our sites, suggesting that factors beyond those manipulated here also play a key role at many sites. At sites where biotic resistance is important, spatial and temporal variation in community composition and the genetic composition of the invasion pool may explain the invasion success of Medicago into this community.
Data from: Effects of arbuscular mycorrhizal fungi on aboveground tri-trophic interactions are contingent upon plant genetic effects of cross type in the perennial herb Ruellia nudiflora
1.- Recent work has improved our understanding of the linkages between above- and below-ground interactions mediated by plants. However, relatively few of the studies conducted thus far have focused on muli-trophic interactions (i.e. beyond two trophic levels) and the influence of plant genetic intra-specific variation on these dynamics has rarely been addressed. 2.- We tested the effect of arbuscular mycorrhizal fungi (AMF) on above-ground tri-trophic interactions associated with the canopy of the perennial herb <i></i>Ruellia nudiflora<i></i>, and further determined whether genetic effects due to cross type (i.e. wether a plant originated from from self- or cross-pollination) influenced these interactions. 3.- We propagated plants originating from self- or cross-pollination, and within each category inoculated half of the plants with AMF. We subsequently established a common garden where plants were exposed to naturally occurring seed-eating caterpillars and their parasitoids. We measured plant growth, fruit output, calculated the proportion of attacked fruits by the caterpillar and the proportion of parasitized caterpillars, and also estimated the proportion of "rescued" seeds by parasitoids representing an indirect positive effect of the third trophic level on the plant by reducing caterpillar consumption. 4.- AMF drove 18% and 15% increases in plant growth and fruit output respectively, and drove a 25% reduction in caterpillar fruit attack, but did not influence parasitism or parasitoid seed "rescue". In contrast, cross type did not influence growth, fruit number, herbivore attack, parasitism, or seed rescue. More importantly, however, we found a significant AMF by cross type interaction on caterpillar attack where AMF significantly reduced fruit attack (by 30%) in progeny from cross-pollination but did not influence herbivory in progeny from self-pollination. 5.- Synthesis. Results indicate that AMF effects on above-ground interactions are contingent upon plant intra-specific variation originating from cross type, which is likely a common source of variation in associated interactions for plants with mixed mating systems. Further studies examining plant-mediated below- and aboveground interactions should consider the influence of specific sources of plant genetic variation, as well as address the consequences of such dynamics for interactions beyond two trophic levels.
Data from: Sexual conflict and interacting phenotypes: a quantitative genetic analysis of fecundity and copula duration in Drosophila melanogaster
Many reproductive traits that have evolved under sexual conflict may be influenced by both sexes. Investigation of the genetic architecture of such traits can yield important insight into their evolution, but this entails that the heritable component of variation is estimated for males and females – as an interacting phenotype. We address the lack of research in this area through an investigation of egg production and copula duration in the fruit fly, Drosophila melanogaster. Despite egg production rate being determined by both sexes, which may cause sexual conflict, an assessment of this trait as an interacting phenotype is lacking. It is currently unclear whether copula duration is determined by males and/or females. We found significant female, but not male, genetic variance for egg production rate which may indicate reduced potential for ongoing sexually antagonistic coevolution. In contrast, copula duration was determined by significant genetic variance in both sexes. We also identified genetic variation in egg retention among virgin females. Although previously identified in wild populations, it is unclear why this should be present in a laboratory stock. This study provides a novel insight into the shared genetic architecture of reproductive traits that are the subject of sexual conflict.
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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.