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Isla, J.

Publications and source records attributed to Isla, J..

6 recordsLinked to original sources

A comparative analysis of fruit feeding among Mediterranean passerine birds

1Fleshy fruits underpin a major mutualistic pathway linking plants and birds in Mediterranean scrublands, yet we still lack a mechanistic understanding of how ecomorphological and digestive traits constrain fruit use, foraging behaviour, and ultimately the effectiveness of avian seed dispersal. Here we assemble an integrative dataset for 146 Iberian bird species combining external morphology, digestive anatomy, diet composition, and fine-grained observations of fruit foraging and handling obtained from standardized focal watches and camera traps at fruiting plants. We classify species into five functional feeding groups (seed dispersers, pulp consumers, pulp consumer-dispersers, pulp consumer-seed predators, non-frugivores) and ask how suites of traits map onto these feeding modes and onto quantitative metrics of frugivory and feeding rate. Across species, the proportion of diet volume made up by fleshy fruits increases with gape width and faster food transit, and decreases with larger gizzards and longer intestines, indicating a tight coupling between frugivory and traits that enable rapid processing of dilute, pulp-rich food. A small subset of traits (body mass, gape width, gizzard mass, transit time) explains over half of the interspecific variation in fruit consumption, with ecomorphological and digestive characters contributing roughly equally to explained variance. Per-visit feeding rates and numbers of fruits ingested per visit scale positively with body mass, and canonical discriminant analysis reveals distinct multivariate trait syndromes separating seed dispersers from pulp consumers, seed predators, and non-frugivores. These trait syndromes, and the associated differences in handling mode and feeding speed, provide a mechanistic link between individual-level foraging decisions and the sparsity, asymmetry, and effectiveness of plant-frugivore interaction networks in Mediterranean systems. Our results highlight how trait-based constraints shape not only who interacts with whom, but also how efficiently seeds are removed and dispersed across a diverse frugivore assemblage.

ecology↗

Downscaling mutualistic networks from species to individuals reveals consistent interaction niches and roles within plant populations

Species-level networks emerge as the combination of interactions spanning multiple individuals, and their study has received considerable attention over the past 30 years. However, less is known about the structure of interaction configurations within species, even though individuals are the actual interacting units in nature. We compiled 46 empirical, individual-based, interaction networks on plant-animal seed dispersal mutualisms, comprising 1037 plant individuals across 29 species from various regions. We compared the structure of individual-based networks to that of species-based networks and, by extending the niche concept to interaction assemblages, we explored individual plant specialization. Using a Bayesian framework to account for uncertainty derived from sampling, we examined how plant individuals "explore" the interaction niche of their populations. Both individual-based and species-based networks exhibited high variability in network properties, lacking remarkable structural and topological differences between them. Within populations, frugivores interaction allocation among plant individuals was highly heterogeneous, with one to three frugivore species dominating interactions. Regardless of species or bioregion, plant individuals displayed a variety of interaction profiles across populations, with a consistently small percentage of individuals playing a central role and exhibiting high diversity in their interaction assemblage. Plant populations showed variable mid to low levels of niche specialization; and individuals interaction niche "breadth" accounted for 70% of the population interaction diversity, on average. Our results highlight how downscaling from species to individual-based networks helps understanding the structuring of interactions within ecological communities and provide an empirical basis for the extension of niche theory to complex mutualistic networks. Significance StatementEcological interactions in nature occur between individual partners rather than species, and their outcomes determine fitness variation. By examining among-individual variation in interaction niches, we can bridge evolutionary and ecological perspectives to understand interaction biodiversity. This study investigates individual plant variation in frugivore assemblages worldwide, exploring how plant individuals "build" their interaction profiles with animal frugivores. The structure of networks composed of individuals was surprisingly similar to networks composed of species. Within populations, only a few plants played a key role in attracting a high diversity of frugivores, making them central to the overall network structure. Individuals actually interacted with a substantial diversity of partners, with individual niche "breadth" accounting for up to 70% of total interaction diversity, on average.

ecology↗

Natural SARS-CoV-2 infection in kept ferrets, Spain

We found SARS-CoV-2 RNA in 6 of 71 ferrets (8.4%) and isolated the virus from one rectal swab. Natural SARS-CoV-2 infection does occur in kept ferrets, at least under circumstances of high viral circulation in the human population. However, small ferret collections are probably unable to maintain prolonged virus circulation.

microbiology↗

Temporal and trophic partitioning promote coexistence between mesocarnivores in a Mediterranean landscape

O_LIThe partition of the ecological niche can enhance the coexistence of predators due to differences in how they exploit three main resources: food, space, and time, the latter being an axis that often remains unexplored. C_LIO_LIWe studied niche segregation in a Mediterranean mesocarnivore community composed by Vulpes vulpes, Genetta genetta, Meles meles and Herpestes ichneumon, addressing simultaneously different niche axes: the temporal, trophic and spatial axes. C_LIO_LIWe assessed temporal segregation between mesopredators and prey and between potential competitors, using camera trap data between 2018-2020 in a Mediterranean landscape in Southern Spain. We deployed camera traps in 35 stations in three sites with varying vegetation cover within Donana National Park. We further examined the spatial overlap in activity centers and trophic preferences between potential competitors using diet information from studies performed in the study area. C_LIO_LIWe found an overall temporal segregation between trophic generalist species, with species showing higher temporal overlap differing in their trophic preferences and/or showing limited spatial overlap. Furthermore, we observed an overall high overlap between the activity patterns of predators and their major prey in the area (the common genet vs small mammals and the red fox vs European rabbit). C_LIO_LIOur study suggests that coexistence of the different species that compose the mesocarnivore assemblage in Mediterranean landscapes can be facilitated by subtle differences along the three main niche axes, with temporal segregation being a most pronounced mechanism. Our findings reinforce the idea that the coexistence mechanisms underlying community structure are multidimensional. C_LI

ecology↗

Ant community potential for pest control in olive groves: management and landscape effects

Ants are important pest control agents in many agroecosystems worldwide. However, little is known about how management, ecological contrast generated by different agricultural practices, and landscape complexity affect their communities and the potential pest control that they can provide. Here, we surveyed ant communities in 40 paired olive groves with different ground-herb cover management across 20 localities spanning a wide range of landscape complexity at the regional scale. We also conducted experiments with dummy plasticine models in 18 of these groves to explore the ant potential to control the two main pests of the olive tree (olive moth and olive fly). In addition, we calculated an index, the Ant-community Predation Function (APF), which informs about the predation pressure exerted by ant communities over these pests. Results show that: a) extensive management at intermediate landscape complexity maximizes the abundance and pest control by ants; b) the ecological contrast affects ant abundance and ant richness but does not impact the predation function; c) APF is a good measure of pest control potential at the community level; and, d) Tapinoma nigerrimum is an important ant species for pest control in our system, which seems little affected by local or landscape heterogeneity. This study advances our knowledge about local management and landscape effects on ants and their potential contribution to pest control in olive groves. Extensive herb cover management and landscape heterogeneity increased ant predation pressure in olive groves.

ecology↗

Phen2Gene: Rapid Phenotype-Driven Gene Prioritization for Rare Diseases

Human Phenotype Ontology (HPO) terms are increasingly used in diagnostic settings to aid in the characterization of patient phenotypes. The HPO annotation database is updated frequently and can provide detailed phenotype knowledge on various human diseases, and many HPO terms are now mapped to candidate causal genes with binary relationships. To further improve the genetic diagnosis of rare diseases, we incorporated these HPO annotations, gene-disease databases, and gene-gene databases in a probabilistic model to build a novel HPO-driven gene prioritization tool, Phen2Gene. Phen2Gene accesses a database built upon this information called the HPO2Gene Knowledgebase (H2GKB), which provides weighted and ranked gene lists for every HPO term. Phen2Gene is then able to access the H2GKB for patient-specific lists of HPO terms or PhenoPackets descriptions supported by GA4GH (http://phenopackets.org/), calculate a prioritized gene list based on a probabilistic model, and output gene-disease relationships with great accuracy. Phen2Gene outperforms existing gene prioritization tools in speed, and acts as a real-time phenotype driven gene prioritization tool to aid the clinical diagnosis of rare undiagnosed diseases. In addition to a command line tool released under the MIT license (https://github.com/WGLab/Phen2Gene), we also developed a web server and web service (https://phen2gene.wglab.org/) for running the tool via web interface or RESTful API queries. Finally, we have curated a large amount of benchmarking data for phenotype-to-gene tools involving 197 patients across 76 scientific articles and 85 patients de-identified HPO term data from CHOP.

bioinformatics↗