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Hibbins, M. S.

Publications and source records attributed to Hibbins, M. S..

10 recordsLinked to original sources

Rapid evolution of synteny associated with multiple origins of dioecy and XY sex determination

Chromosomal rearrangements are a major driver of evolutionary innovation, shaping processes including local adaptation, speciation, and sex chromosome evolution. Multispecies synteny datasets are rich in information on the drivers of genomic rearrangement, but statistical approaches that enable insights to be obtained from this information are still in their infancy. Here, we present a novel framework for the application of phylogenetic comparative methods to multispecies synteny datasets. We apply this approach to Rumex, a clade of flowering plants that exhibits rapid karyotypic evolution, including multiple origins of XY sex determination from hermaphroditic ancestors. Leveraging new genome assemblies, we find evidence for accelerated syntenic evolution associated with evolutionary transitions to dioecy, highlighting how explicit phylogenetic hypothesis testing can generate new insights into adaptive hypotheses for rearrangements.

evolutionary biology↗

Phylotranscriptomics reveals convergent behavioral evolution associated with shared and unique mechanisms in cavity-nesting songbirds

Uncovering the genomic bases of phenotypic adaptation is a major goal in biology, but this has been hard to achieve for complex behavioral traits. Here, we leverage the repeated, independent evolution of obligate cavity-nesting in birds to test the hypothesis that pressure to compete for a limited breeding resource has facilitated convergent evolution in behavior, hormones, and gene expression. We used an integrative approach, combining aggression assays in the field, testosterone measures, and transcriptome-wide analyses of the brain in wild-captured females and males. Our experimental design compared species pairs across five avian families, each including one obligate cavity-nesting species and a related species with a more flexible nest strategy. We find behavioral convergence, with higher levels of territorial aggression in obligate cavity-nesters, particularly among females. Across species, levels of testosterone in circulation were not associated with nest strategy, nor aggression. Phylogenetic analyses of individual genes and co-regulated gene networks revealed more shared patterns of brain gene expression than expected by drift, but the scope of convergent gene expression evolution was limited to a small percent of the genome. When comparing our results to other studies that did not use phylogenetic methods, we suggest that accounting for shared evolutionary history may reduce the number of genes inferred as convergently evolving. Altogether, we find that behavioral convergence in response to shared ecological pressures is associated with largely independent gene expression evolution across different avian families, punctuated by a narrow set of convergently evolving genes.

evolutionary biology↗

Phylogenomics resolves key relationships in Rumex and uncovers a dynamic history of independently evolving sex chromosomes

Sex chromosomes have evolved independently many times across eukaryotes. Despite a considerable body of literature on the evolution of sex chromosomes, the causes and consequences of variation in the formation, degeneration, and turnover of sex chromosomes remain poorly understood. Comparative approaches in groups with sexual system variation can be valuable for understanding these questions. Plants are well-suited to such comparative studies, with many lineages containing relatively recent origins of dioecy and sex chromosomes as well as hermaphroditic close relatives. Rumex is a diverse genus of flowering plants harboring significant sexual system variation, including hermaphroditic and dioecious clades with XY sex chromosomes. Previous disagreement in the phylogenetic relationships among key species have rendered the history of sex chromosome evolution uncertain. Resolving this history is important to the development of Rumex as a system for the comparative study of sex chromosome evolution. Here, we leverage new transcriptome assemblies from 11 species representing the major clades in the genus, along with a whole-genome assembly generated for a pivotal hermaphroditic species, to further resolve the phylogeny and history of sex chromosome evolution in Rumex. Using phylogenomic approaches, we find evidence for two independent origins of sex chromosomes and introgression from unsampled taxa in the genus. Comparative genomics reveals massive chromosomal rearrangements in a dioecious species, with evidence for a complex origin of the sex chromosomes through multiple chromosomal fusions. However, we see no evidence of elevated rates of fusion on the sex chromosome in comparison with autosomes, providing no support for an adaptive hypothesis for the sex chromosome expansion. Overall, our results highlight the dynamic nature of sex chromosome systems in Rumex and illustrate the utility of the genus as a model for the comparative study of sex chromosome evolution.

evolutionary biology↗

Phylogenomic comparative methods: accurate evolutionary inferences in the presence of gene tree discordance

Phylogenetic comparative methods have long been a mainstay of evolutionary biology, allowing for inferences of the tempo and mode of trait evolution across species while accounting for their common ancestry. These analyses typically assume a single, bifurcating phylogenetic tree that describes the shared history among species. However, modern phylogenomic analyses have shown that genomes are often composed of a mosaic of different histories that can disagree both with the species tree and with each other--so-called discordant gene trees. These gene trees describe shared histories that are not captured by the species tree, and therefore that are unaccounted for in classic comparative approaches. The application of standard phylogenetic comparative methods to species histories containing discordance leads to incorrect inferences about the timing, direction, and rate of evolution. Here, we develop two approaches for incorporating gene tree histories into comparative methods: one involves constructing a fuller phylogenetic variance-covariance matrix that includes relationships not found in the species tree, and another that applies Felsensteins pruning algorithm over a set of gene trees to calculate trait histories and likelihoods. Both approaches are agnostic to the biological causes of gene tree discordance, which may include incomplete lineage sorting and introgression. Using simulation, we demonstrate that our new approaches generate much more accurate estimates of tree-wide rates of trait evolution than standard methods. We apply our methods to two clades of the wild tomato genus Solanum with varying rates of discordance, demonstrating the contribution of gene tree discordance to variation in a set of floral traits and the ability of our approaches to provide more accurate inferences. Our new approaches have the potential to be applied to a broad range of classic inference problems in phylogenetics, including ancestral state reconstruction and the inference of lineage-specific rate shifts.

evolutionary biology↗

Distinguishing between histories of speciation and introgression using genomic data

Introgression creates complex, non-bifurcating relationships among species. At individual loci and across the genome, both introgression and incomplete lineage sorting interact to produce a wide range of different gene tree topologies. These processes can obscure the history of speciation among lineages, and, as a result, identifying the history of speciation vs. introgression remains a challenge. Here, we use theory and simulation to investigate how introgression can mislead multiple approaches to species tree inference. We find that arbitrarily low amounts of introgression can mislead both gene tree methods and parsimony methods if the rate of incomplete lineage sorting is sufficiently high. We also show that an alternative approach based on minimum gene tree node heights is inconsistent and depends on the rate of introgression across the genome. To distinguish between speciation and introgression, we apply supervised machine learning models to a set of features that can easily be obtained from phylogenomic datasets. We find that multiple of these models are highly accurate in classifying the species history in simulated datasets. We also show that, if the histories of speciation and introgression can be identified, PhyloNet will return highly accurate estimates of the contribution of each history to the data (i.e. edge weights). Overall, our results highlight the promise of supervised machine learning as a potentially powerful complement to phylogenetic methods in the analysis of introgression from genomic data.

evolutionary biology↗

The effects of introgression across thousands of quantitative traits revealed by gene expression in wild tomatoes

It is now understood that introgression can serve as powerful evolutionary force, providing genetic variation that can shape the course of trait evolution. Introgression also induces a shared evolutionary history that is not captured by the species phylogeny, potentially complicating evolutionary analyses that use a species tree. Such analyses are often carried out on gene expression data across species, where the measurement of thousands of trait values allows for powerful inferences while controlling for shared phylogeny. Here, we present a Brownian motion model for quantitative trait evolution under the multispecies network coalescent framework, demonstrating that introgression can generate apparently convergent patterns of evolution when averaged across thousands of quantitative traits. We test our theoretical predictions using whole-transcriptome expression data from ovules in the wild tomato genus Solanum. Examining two sub-clades that both have evidence for post-speciation introgression, but that differ substantially in its magnitude, we find patterns of evolution that are consistent with histories of introgression in both the sign and magnitude of ovule gene expression. Additionally, in the sub-clade with a higher rate of introgression, we observe a correlation between local gene tree topology and expression similarity, implicating a role for introgressed cis-regulatory variation in generating these broad-scale patterns. Our results have important implications for the study of gene expression evolution--and quantitative trait evolution more broadly--in systems with evidence of introgression.

evolutionary biology↗

Determining the probability of hemiplasy in the presence of incomplete lineage sorting and introgression

AO_SCPLOWBSTRACTC_SCPLOWThe incongruence of character states with phylogenetic relationships is often interpreted as evidence of convergent evolution. However, trait evolution along discordant gene trees can also generate these incongruences - a phenomenon known as hemiplasy. Classic phylogenetic comparative methods do not account for discordance, resulting in incorrect inferences about the number of times a trait has evolved, and therefore about convergence. Biological sources of discordance include incomplete lineage sorting (ILS) and introgression, but only ILS has received theoretical consideration in the context of hemiplasy. Here, we derive expectations for the probabilities of hemiplasy and homoplasy with ILS and introgression acting simultaneously. We find that introgression makes hemiplasy more likely than ILS alone, suggesting that methods that account for discordance only due to ILS will be conservative. We also present a method for making statistical inferences about the relative probabilities of hemiplasy and homoplasy in empirical datasets. Our method is implemented in the software package HeIST (Hemiplasy Inference Simulation Tool), and estimates the most probable number of transitions among character states given a set of relationships with discordance. HeIST can accommodate ILS and introgression simultaneously, and can be applied to phylogenies where the number of taxa makes finding an analytical solution impractical. We apply this tool to two empirical cases of apparent trait convergence in the presence of high levels of discordance, one of which involves introgression between the convergent lineages. In both cases we find that hemiplasy is likely to contribute to the observed trait incongruences.

evolutionary biology↗

A three-sample test for introgression

Many methods exist for detecting introgression between non-sister species, but the most commonly used require either a single sequence from four or more taxa or multiple sequences from each of three taxa. Here we present a test for introgression that uses only a single sequence from three taxa. This test, denoted D3, uses similar logic as the standard D-test for introgression, but by using pairwise distances instead of site patterns it is able to detect the same signal of introgression with fewer species. We use simulations to show that D3 has statistical power almost equal to D, demonstrating its use on a dataset of wild bananas (Musa). The new test is easy to apply and easy to interpret, and should find wide use among currently available datasets.

evolutionary biology↗

Population genetic tests for the direction and relative timing of introgression

Introgression is a pervasive biological process, and many statistical methods have been developed to infer its presence from genomic data. However, many of the consequences and genomic signatures of introgression remain unexplored from a methodological standpoint. Here, we develop a model for the timing and direction of introgression based on the multispecies network coalescent, and from it suggest new approaches for testing introgression hypotheses. We suggest two new statistics, D1 and D2, which can be used in conjunction with other information to test hypotheses relating to the timing and direction of introgression, respectively. D1 may find use in evaluating cases of homoploid hybrid speciation, while D2 provides a four-taxon test for polarizing introgression. Although analytical expectations for our statistics require a number of assumptions to be met, we show how simulations can be used to test hypotheses about introgression when these assumptions are violated. We apply the D1 statistic to genomic data from the wild yeast Saccharomyces paradoxus, a proposed example of homoploid hybrid speciation, demonstrating its use as a test of this model. These methods provide new and powerful ways to address questions relating to the timing and direction of introgression.

evolutionary biology↗

Three new genome assemblies support a rapid radiation in Musa acuminata (wild banana)

Edible bananas result from interspecific hybridization between Musa acuminata and Musa balbisiana, as well as among subspecies in M. acuminata. Four particular M. acuminata subspecies have been proposed as the main contributors of edible bananas, all of which radiated in a short period of time in southeastern Asia. Clarifying the evolution of these lineages at a whole-genome scale is therefore an important step toward understanding the domestication and diversification of this crop. This study reports the de novo genome assembly and gene annotation of a representative genotype from three different subspecies of M. acuminata. These data are combined with the previously published genome of the fourth subspecies to investigate phylogenetic relationships and genome evolution. Analyses of shared and unique gene families reveal that the four subspecies are quite homogenous, with a core genome representing at least 50% of all genes and very few M. acuminata species-specific gene families. Multiple alignments indicate high sequence identity between homologous single copy-genes, supporting the close relationships of these lineages. Interestingly, phylogenomic analyses demonstrate high levels of gene tree discordance, due to both incomplete lineage sorting and introgression. This pattern suggests rapid radiation within Musa acuminata subspecies that occurred after the divergence with M. balbisiana. Introgression between M. a. ssp. malaccensis and M. a. ssp. burmannica was detected across a substantial portion of the genome, though multiple approaches to resolve the subspecies tree converged on the same topology. To support future evolutionary and functional analyses, we introduce the PanMusa database, which enables researchers to exploration of individual gene families and trees.

evolutionary biology↗