Publications by authors named "Isaac Overcast"

Glacial cycles during the Pleistocene had profound impacts on local environments and climatic conditions. In North America, some regions that currently support diverse biomes were entirely covered by ice sheets, while other regions were environmentally unsuitable for the organisms that live there now. Organisms that occupy these regions in the present day must have expanded or dispersed into these regions since the last glacial maximum, leading to the possibility that species with similar geographic distributions may show temporally concordant population size changes associated with these warming trends.

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The structure of communities is influenced by many ecological and evolutionary processes, but the way these manifest in classic biodiversity patterns often remains unclear. Here we aim to distinguish the ecological footprint of selection-through competition or environmental filtering-from that of neutral processes that are invariant to species identity. We build on existing Massive Eco-evolutionary Synthesis Simulations (MESS), which uses information from three biodiversity axes-species abundances, genetic diversity, and trait variation-to distinguish between mechanistic processes.

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Understanding global patterns of genetic diversity is essential for describing, monitoring, and preserving life on Earth. To date, efforts to map macrogenetic patterns have been restricted to vertebrates, which comprise only a small fraction of Earth's biodiversity. Here, we construct a global map of predicted insect mitochondrial genetic diversity from cytochrome c oxidase subunit 1 sequences, derived from open data.

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Article Synopsis
  • * A new eco-evolutionary simulation model leverages metabarcoding data to analyze community assembly dynamics, predicting species abundance, genetic variation, and other community characteristics across various environmental conditions.
  • * The model was tested on soil microarthropod data from Cyprus, revealing that community structures in different habitats are influenced by either neutral processes or abiotic filters, with the findings available through the ibiogen R package.
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  • Current research on island biodiversity mainly focuses on plants and birds, neglecting arthropods despite their species richness and importance in understanding ecological processes.
  • Novel high throughput sequencing (HTS) technologies are now available, which could enhance the data collection on arthropods and provide deeper insights into biodiversity dynamics.
  • The study suggests integrating HTS with deep learning image analysis to improve arthropod biodiversity monitoring and proposes setting up an Island Genomic Observatories Network (iGON) to support collaborative efforts in island ecology, evolution, and conservation.
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Metazoan metabarcoding is emerging as an essential strategy for inventorying biodiversity, with diverse projects currently generating massive quantities of community-level data. The potential for integrating across such data sets offers new opportunities to better understand biodiversity and how it might respond to global change. However, large-scale syntheses may be compromised if metabarcoding workflows differ from each other.

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Non-native (invasive) species offer a unique opportunity to study the geographical distribution and range limits of species, wherein the evolutionary change driven by interspecific interactions between native and non-native closely related species is a key component. The red-eared slider turtle, Trachemys scripta elegans (TSE), has been introduced and successfully established worldwide. It can coexist with its native congeners T.

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Disentangling the relative role of environmental filtering and spatial processes in driving metacommunity structure across mountainous regions remains challenging, as the way we quantify spatial connectivity in topographically and environmentally heterogeneous landscapes can influence our perception of which process predominates. More empirical data sets are required to account for taxon- and context-dependency, but relevant research in understudied areas is often compromised by the taxonomic impediment. Here we used haplotype-level community DNA metabarcoding, enabled by stringent filtering of amplicon sequence variants (ASVs), to characterize metacommunity structure of soil microarthropod assemblages across a mosaic of five forest habitats on the Troodos mountain range in Cyprus.

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Biodiversity accumulates hierarchically by means of ecological and evolutionary processes and feedbacks. Within ecological communities drift, dispersal, speciation, and selection operate simultaneously to shape patterns of biodiversity. Reconciling the relative importance of these is hindered by current models and inference methods, which tend to focus on a subset of processes and their resulting predictions.

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Article Synopsis
  • The study focuses on the growing field of metabarcoding using DNA from whole organism community samples (wocDNA) to analyze diverse metazoan communities across various environments.
  • It highlights the significant developments in sampling and laboratory protocols but points out the lack of consistency in bioinformatic methods being used, reviewing over 600 papers and identifying 111 that utilized COI metabarcoding of wocDNA.
  • The authors found high variability in methodologies, limited adaptation of bioinformatic procedures, and underreporting of details, and they suggest recommendations to improve the comparability and effectiveness of these bioinformatic methods for biodiversity research.
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High-throughput sequencing (HTS) is increasingly being used for the characterization and monitoring of biodiversity. If applied in a structured way, across broad geographical scales, it offers the potential for a much deeper understanding of global biodiversity through the integration of massive quantities of molecular inventory data generated independently at local, regional and global scales. The universality, reliability and efficiency of HTS data can potentially facilitate the seamless linking of data among species assemblages from different sites, at different hierarchical levels of diversity, for any taxonomic group and regardless of prior taxonomic knowledge.

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Article Synopsis
  • Ocean circulation is crucial for dispersing marine organisms like seahorses and pipefishes, influencing their genetic connectivity.
  • The study uses genetic data to show that gene flow in these species aligns with the ocean currents in the Gulf of Mexico and northwestern Atlantic, reflecting predicted trends in macro-algal transport.
  • It also finds that the effectiveness of ocean currents in facilitating gene flow varies among species based on traits related to their ability to disperse and their habitat preferences.
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  • Large studies on community ecology are important but hard to do because they need a lot of time, effort, and money to understand how different species interact and thrive together.
  • Small invertebrates like spiders are really important in ecosystems because they help control other animal populations and serve as food for other creatures.
  • New technologies, like DNA barcoding, are making it easier and cheaper to study spider communities and their roles in nature, helping scientists understand more about these creatures and their environment.
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Morales et al. test predictions of adaptive radiation theory and phenotypic convergence in Myotis bats using genomic target capture and a morphological dataset that represents 80% of the species described for this genus. The authors demonstrate that ecomorphological convergence has occurred multiple times throughout the history of Myotis, despite finding no diversification rate shifts associated with phenotypic adaptation.

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Summary: ipyrad is a free and open source tool for assembling and analyzing restriction site-associated DNA sequence datasets using de novo and/or reference-based approaches. It is designed to be massively scalable to hundreds of taxa and thousands of samples, and can be efficiently parallelized on high performance computing clusters. It is available both as a command line interface and as a Python package with an application programming interface, the latter of which can be used interactively to write complex, reproducible scripts and implement a suite of downstream analysis tools.

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Full genome sequencing of organisms with large and complex genomes is intractable and cost ineffective under most research budgets. Cycads (Cycadales) represent one of the oldest lineages of the extant seed plants and, partly due to their age, have incredibly large genomes up to ~60 Gbp. Restriction site-associated DNA sequencing (RADseq) offers an approach to find genome-wide informative markers and has proven to be effective with both model and nonmodel organisms.

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Background: Estimating the variability in isolation times across co-distributed taxon pairs that may have experienced the same allopatric isolating mechanism is a core goal of comparative phylogeography. The use of hierarchical Approximate Bayesian Computation (ABC) and coalescent models to infer temporal dynamics of lineage co-diversification has been a contentious topic in recent years. Key issues that remain unresolved include the choice of an appropriate prior on the number of co-divergence events (Ψ), as well as the optimal strategies for data summarization.

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Dry forest bird communities in South America are often fragmented by intervening mountains and rainforests, generating high local endemism. The historical assembly of dry forest communities likely results from dynamic processes linked to numerous population histories among codistributed species. Nevertheless, species may diversify in the same way through time if landscape and environmental features, or species ecologies, similarly structure populations.

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Divergence in sexual signals may drive reproductive isolation between lineages, but behavioural barriers can weaken in contact zones. Here, we investigate the role of song as a behavioural and genetic barrier in a contact zone between two subspecies of white-crowned sparrows (Zonotrichia leucophrys). We employed a reduced genomic data set to assess population structure and infer the history underlying divergence, gene flow and hybridization.

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