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DeRaad, D. A.

Publications and source records attributed to DeRaad, D. A..

4 recordsLinked to original sources
bioRxiv2024

A next generation of hierarchical Bayesian analyses of hybrid zones enables direct quantification of variation in introgression in R

Hybrid zones, where genetically distinct groups of organisms meet and interbreed, offer valuable insights into the nature of species and speciation. Here, we present a new R package bgchm, for population genomic analyses of hybrid zones. This R package extends and updates the existing bgc software and combines Bayesian analyses of hierarchical genomic clines with Bayesian methods for estimating hybrid indexes, interpopulation ancestry proportions, and geographic clines. Compared to existing software, bgchm offers enhanced efficiency through Hamiltonian Monte Carlo sampling and the ability to work with genotype likelihoods combined with a hierarchical Bayesian approach, enabling accurate inference for diverse types of genetic datasets. The package also facilitates the quantification of introgression patterns across genomes, which is crucial for understanding reproductive isolation and speciation genetics. We first describe the models underlying bgchm and then provide an overview of the R package and illustrate its use through the analysis of simulated and empirical data sets. We show that bgchm generates accurate estimates of model parameters under a variety of conditions, especially when the genetic loci analyzed are highly ancestry informative. This includes relatively robust estimates of genome-wide variability in clines, which has not been the focus of previous models and methods. We also illustrate how both selection and genetic drift contribute to variability in introgression among loci and how additional information can be used to help distinguish these contributions. We conclude by describing the promises and limitations of bgchm, comparing bgchm to other software for genomic cline analyses, and identifying areas for fruitful future development.

evolutionary biology↗
bioRxiv2023

A shallow-scale phylogenomics approach reveals parallel patterns of diversification among sympatric populations of cryptic Neotropical aquatic beetles (Coleoptera: Noteridae)

The Notomicrus traili species group (Coleoptera: Noteridae) is a lineage of aquatic beetles distributed throughout South America and extends into Mexico and the West Indies. Previous research has revealed a species complex within this group, with multiple distinct clades sharing overlapping distributions and lineages attributed to N. traili and the closely related N. gracilipes recovered as polyphyletic. Here, we perform targeted capture of ultraconserved elements (UCEs) to examine relationships and patterns of evolution within the N. traili group. First, we use short-read whole genome sequencing of four noterid genera to design a noterid-specific UCE probe set (Noteridae 3.4Kv1) targeting over 3,400 unique loci. Using this probe set, we capture UCE data from population-level sampling of 44 traili group specimens from across the Neotropics, with an emphasis on the Guiana Shield where distributions of several putative N. traili group populations overlap. We subject the resulting data matrix to various trimming and data completeness treatments and reconstruct the phylogeny with both concatenated maximum likelihood and coalescent congruent methods. We recover robust phylogenetic estimates that identify several phylogenetically distinct clades within the traili group that share overlapping distributions. To test for the genetic distinctiveness of populations, we extract single nucleotide polymorphism (SNP) data from UCE alignments and examine patterns of genetic clustering using principal component analyses (PCAs) and STRUCTURE. Population genetic results are highly concordant with recovered phylogenetic structure, revealing a high degree of co-ancestry shared within identified clades, contrasting with limited ancestry sharing between clades. We recover a pattern consistent with repeated diversification and dispersal of the traili group in the Neotropics, highlighting the efficacy of a tailored UCE approach for facilitating shallow-scale phylogenetic reconstructions and population genetic analyses, which can reveal novel aspects of coleopteran phylogeography.

evolutionary biology↗
bioRxiv2020

Geographic potential of the world largest hornet, Vespa mandarinia Smith (Hymenoptera: Vespidae), worldwide and particularly in North America

The Asian giant hornet (AGH, Vespa mandarinia) is the worlds largest hornet, occurring naturally in the Indomalayan region, where it is a voracious predator of pollinating insects including honey bees. In September 2019, a nest of Asian giant hornets was detected outside of Vancouver, British Columbia and in May 2020 an individual was detected nearby in Washington state, indicating that the AGH successfully overwintered in North America. Because hornets tend to spread rapidly and become pests, reliable estimates of the potential invasive range of V. mandarinia in North America are needed to assess likely human and economic impacts, and to guide future eradication attempts. Here, we assess climatic suitability for AGH in North America, and suggest that, without control, this species could establish populations across the Pacific Northwest and much of eastern North America. Predicted suitable areas for AGH in North America overlap broadly with areas where honey production is highest, as well as with species-rich areas for native bumble bees and stingless bees of the genus Melipona in Mexico, highlighting the economic and environmental necessity of controlling this nascent invasion.

ecology↗