Biology subjects

Musher, L. J.

Publications and source records attributed to Musher, L. J..

6 recordsLinked to original sources

bioRxiv2026

Intraspecific trait variation shapes macro-scale patterns ofniche breadth and range size

Morphological variation within species may promote adaptation across ecological and geographic space, perhaps reflecting evolutionary plasticity and adaptability. Based on this concept, species with greater intraspecific variation in morphological traits may be expected to occupy broader ecological niches and larger geographic ranges. However, even in the age of global trait datasets, intraspecific morphological variation remains poorly quantified at broad taxonomic and geographic scales, limiting our understanding of how trait flexibility shapes ecological and biogeographic patterns. Focusing on 161 species of bulbuls, a widespread avian family containing some of the most abundant bird species in the world, along with some of the rarest and most restricted in range, we conducted global-scale sampling of morphological traits. These included beak shape, tarsus length and wing length, associated with dietary niche, foraging strategy and dispersal, respectively. Using phylogenetic models, we tested whether ecological niche breadth and geographical range size are predicted by intraspecific morphological variation quantified from 8,251 museum specimens and 5,627 live captures. Our results demonstrate that morphological trait variation predicts both ecological niche breadth and geographic range size. Furthermore, widespread species exhibit greater morphological variation than restricted-range species even when comparisons are constrained to equivalent geographic extents, consistent with the hypothesis that intraspecific trait variation facilitates range expansion rather than simply accumulating as a consequence of occupying a larger range. These results identify intraspecific morphological variation as a potentially important, yet largely overlooked, predictor of ecological traits and biogeographic distributions in birds.

ecology↗

bioRxiv2025

The genomic landscape of asymmetric introgression tracks chromosomal characteristics in tinamous (Aves: Tinamidae)

We use single genomes from seven tinamou species (Palaeognathae: Tinamidae) and apply a genome-architecture-aware phylogenomic approach to (1) quantify the landscape of introgression, (2) discriminate among conflicting genealogical signals in the genome, and (3) reconstruct evolutionary history. Using summary statistics and full likelihood, we detect pervasive asymmetric introgression between two sympatric Amazonian species clouding phylogenetic relationships in this group. However, these introgression results are sensitive to the assumed species tree. When assuming the Z-chromosome phylogeny as the species tree, the landscape of introgression is non-random; introgression is negatively associated with chromosome length, elevated at macrochromosome ends, and near zero for the Z-chromosome (the avian sex chromosome). A pseudo-autosomal region on the Z-chromosome, which recombines homologously with that of the W-chromosome, shows elevated introgression comparable to that of autosomes. Our results resolve the species tree of tinamous and imply a history of linked selection purging migrant alleles that are deleterious in the hybrid genome. This selection is countered in regions of the genome expected to experience elevated recombination, allowing introgressed alleles to accumulate across >20% of the genome. This work demonstrates a genome-architecture-aware approach to resolving the species tree in the face of introgression. As chromosome-level reference genomes spanning the tree of life become increasingly available, phylogenomic studies would benefit from the adoption of genome-architecture-aware approaches like ours. This is because the genomic landscapes of introgression and genealogy are largely predicted by chromosomal characteristics.

genomics↗

bioRxiv2025

Spatially heterogeneous gene flow may hinder linking phylogeographic data to macroevolutionary patterns

How microevolutionary processes translate to macroevolutionary patterns is a central question in evolutionary biology. Macroevolutionary and biogeographic studies often rely on species trees to make inferences about diversification, but gene flow can lead to incorrect phylogenetic inference. Under a range of biogeographic conditions, gene flow may not occur uniformly across space during diversification, which could lead to macroevolutionary misinferences. For example, whenever a "peripheral" population is relatively isolated and inferred as sister to a "core" clade of populations that exchange migrants, it might solely reflect gene flow, as opposed to macroevolutionary processes such as the order of biogeographic dispersal events. We use simulations of the hypothetical case of spatially heterogeneous gene flow described above and found that relatively low levels of gene flow led to monophyly of the adjacent populations, with longer branches for peripheral taxa, regardless of the true divergence history. We highlight an empirical example wherein lowland antbirds (Family: Thamnophilidae)-a clade known for dynamic gene flow in Amazonia-tend to be young in Amazonia, but older at Amazonias periphery. Although it is challenging to know if the simulated bias applies here, our work suggests a distinguishability problem for any nodes stemming from radiations in geographically heterogeneous environments.

evolutionary biology↗

bioRxiv2024

Whole-genome phylogenomics of the tinamous (Aves: Tinamidae): comparing gene tree estimation error between BUSCOs and UCEs illuminates rapid divergence with introgression

As an old group that has diversified in South America over millions of years, the tinamous (Palaeognathae: Tinamidae) are of high interest for understanding the evolution of birds and the assembly of the Neotropical biota. However, there are currently no complete species-level phylogenies of this group. Most prior work has been based on either morphological data or a small number of molecular markers, each of which has limited capability for reconstructing the tinamou phylogeny. Therefore, the interrelationships of most tinamou species are uncertain. We analyzed 80 whole-genomes from a mix of historical study skins and frozen tissues, including all 46 recognized species of tinamous to (1) reconstruct their interrelationships, (2) estimate the timeframe of tinamou evolution, and (3) examine for the effects of incomplete lineage sorting (ILS) and ancestral introgression on genome evolution. We compared results for coding (BUSCO) and ultraconserved element (UCE) loci, as well as sex-linked and autosomal markers, and used fossil-calibrated tip-dating to estimate divergence times. Tinamous diverged from their sister-group, the extinct Moas, 50-60 mya, and their crown divergence occurred roughly 30-40 mya, followed by constant diversification rates until the present. Phylogenetic reconstructions were largely robust across methods and datasets. Only one clade in the genus Crypturellus displayed substantial species-tree discordance across the different data sets. To investigate the impacts of introgression on this discordance, we quantified introgression for 100kb non-overlapping windows across the genome, and identified pervasive genome-wide introgression. The distribution of this introgression across the genome was dependent on the assumed phylogeny applied to the f-branch model. When assuming one of these topologies in the f-branch model, patterns of introgression matched theoretical predictions about genome architecture. Overall, we present the most complete phylogeny for tinamous to date, identify an unrecognized species, and provide a case study for species-level phylogenomic analysis using whole-genomes.

genomics↗

bioRxiv2023

Geo-genomic predictors of genetree heterogeneity in an Amazonian bird (Thamnophilus aethiops)

Can knowledge about genome architecture inform biogeographic and phylogenetic inference? Selection, drift, recombination, and gene flow interact to produce a genomic landscape of divergence wherein patterns of differentiation and genealogy vary nonrandomly across the genomes of diverging populations. For instance, genealogical patterns that arise due to gene flow should be more likely to occur on smaller chromosomes, which experience high recombination, whereas those tracking histories of geographic isolation (reduced gene flow caused by a barrier) and divergence should be more likely to occur on larger and sex chromosomes. In Amazonia, populations of many bird species diverge and introgress across rivers, resulting in reticulated genomic signals. Herein, we used reduced representation genomic data to disentangle the evolutionary history of four populations of an Amazonian antbird, Thamnophilus aethiops, whose biogeographic history was associated with the dynamic evolution of the Madeira River Basin. Specifically, we evaluate whether a large river capture event ca. 200 kya, gave rise to reticulated genealogies in the genome by making spatially explicit predictions about isolation and gene flow based on knowledge about genomic processes. We first estimated chromosome-level phylogenies and recovered two primary topologies across the genome. The first topology (T1) was most consistent with predictions about population divergence, and was recovered for the Z chromosome. The second (T2), was consistent with predictions about gene flow upon secondary contact. To evaluate support for these topologies, we trained a convolutional neural network to classify our data into alternative diversification models and estimate demographic parameters. The best-fit model was concordant with T1 and included gene flow between non-sister taxa. Finally, we modeled levels of divergence and introgression as functions of chromosome length, and found that smaller chromosomes experienced higher gene flow. Given that (1) gene-trees supporting T2 were more likely to occur on smaller chromosomes and (2) we found lower levels of introgression on larger chromosomes (and especially the Z-chromosome), we argue that T1 represents the history of population divergence across rivers and T2 the history of secondary contact due to barrier loss. Our results suggest that a significant portion of genomic heterogeneity arises due to extrinsic biogeographic processes such as river capture interacting with intrinsic processes associated with genome architecture. Future biogeographic studies would benefit from accounting for genomic processes, as different parts of the genome reveal contrasting, albeit complementary histories, all of which are relevant for disentangling the intricate geogenomic mechanisms of biotic diversification.

evolutionary biology↗

bioRxiv2021

River network rearrangements promote speciation in lowland Amazonian birds

Large Amazonian rivers impede dispersal for many species, but lowland river networks frequently rearrange, thereby altering the location and effectiveness of river-barriers through time. These rearrangements may promote biotic diversification by facilitating episodic allopatry and secondary contact among populations. We sequenced genome-wide markers to evaluate histories of divergence and introgression in six Amazonian avian species-complexes. We first tested the assumption that rivers are barriers for these taxa and found that even relatively small rivers facilitate divergence. We then tested whether species diverged with gene flow and recovered reticulate histories for all species, including one potential case of hybrid speciation. Our results support the hypothesis that river dynamics promote speciation and reveal that many rainforest taxa are micro-endemic, unrecognized and thus threatened with imminent extinction. We propose that Amazonian hyper-diversity originates in part from fine-scale barrier displacement processes -including river dynamics- which allow small populations to differentiate and disperse into secondary contact.

evolutionary biology↗