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Taverner, A. M.

Publications and source records attributed to Taverner, A. M..

4 recordsLinked to original sources

Epistasis among clustered lineage-specific adaptive amino acid substitutions in the Drosophila Trio protein.

Intramolecular epistasis is increasingly recognized as a key factor shaping patterns of evolutionary rate variation among protein sites and constraining adaptive evolution. While genome-wide analyses have revealed that intramolecular epistatic interactions can drive the spatial clustering of amino acid substitutions, direct empirical evidence for such interactions and their evolutionary consequences remains limited. Using a population genetic screen for spatially-clustered and lineage-specific adaptive amino acid substitutions in Drosophila proteins, we systematically identify experimentally tractable candidates for functional analysis. As proof of concept, we focus on the Trio protein, a Rho guanine nucleotide exchange factor that exhibits three spatially-clustered putatively adaptive amino acid substitutions in the D. melanogaster lineage. By systematically reconstructing evolutionary intermediates in vivo using genome editing, we find that all possible intermediate states exhibit reduced viability and/or locomotor defects, providing strong evidence for epistatic constraints on evolutionary trajectories. Notably, these deleterious effects are recessive, suggesting that intermediate combinations of epistatically interacting amino acid substitutions can accumulate in heterozygotes prior to fixation, thereby circumventing apparent constraints imposed by maladaptive intermediate states. Together, these findings provide a rare empirical view of the fitness landscape shaped by intramolecular epistasis and establish a framework for investigating the constraints on adaptive protein evolution in diploid multicellular organisms. Author SummaryProteins fold into three-dimensional structures that are essential for their function. Because these structures depend on interactions among amino acids, the fitness effect of a mutation at one site can depend on the amino acid states at other sites. Such dependencies constrain the paths that protein evolution can take, whether evolution proceeds neutrally or adaptively. Although intramolecular epistasis has been demonstrated in microbial systems and in vitro, direct experimental evidence for such constraints in diploid multicellular organisms in vivo is rare. Here, we identify Drosophila proteins that exhibit clusters of closely-spaced putatively adaptive amino acid substitutions and focus experimental analyses on one example, Trio, a Rho guanine nucleotide exchange factor. Using genome editing to reconstruct evolutionary intermediates in the D. melanogaster lineage, we find that all intermediate versions of Trio reduce viability or impair locomotor function. Importantly, these harmful effects are recessive, suggesting that they could be masked when paired with an ancestral version of the protein. This implies that individual amino acid changes may persist in heterozygotes within populations and later combine to contribute to adaptation. If the recessivity of deleterious intermediates along adaptive evolutionary paths proves to be widespread, it could have important implications for our mechanistic understanding of adaptive protein evolution.

evolutionary biology↗

Cis-regulatory evolution of Wnt-family genes contributes to a morphological difference between silkworm species.

Closely related species often exhibit distinct morphologies that can contribute to species-specific adaptations and reproductive isolation. One example are Lepidopteran caterpillar appendages, such as the "caudal horn" of Bombycoidea moths, which have evolved substantial morphological diversity among species in this group. Using interspecific crosses, we identify the genetic basis of the caudal horn size difference between Bombyx mori and its closest relative B. mandarina. The three largest of eight QTL account for one third the mean horn length difference between the species. The largest of these, on chromosome 4, encompasses a conserved Wnt family gene cluster, key upstream regulators that are well-known for their roles in morphological diversification in animals. Using allele-specific expression analysis and CRISPR/Cas9 knockouts, we show that tissue-specific cis-regulatory changes to Wnt1 and Wnt6 contribute to the species difference in caudal horn size. This kind of modularity enables highly pleiotropic genes, including key upstream growth regulators, to contribute to the evolution of morphological traits without causing widespread deleterious effects. SignificanceThis study explores the genetic basis of a distinct morphological trait that varies between two closely related moth species, providing insights into the evolution of morphological diversity. By identifying cis-regulatory changes in two Wnt family genes as major contributors, this work underscores the importance of developmental gene regulatory networks in shaping species-specific traits. The findings illustrate how even small modifications in major upstream regulator genes can drive significant phenotypic variation, revealing how genetic changes in key growth regulators fuel the diversification of form and function. These results advance our understanding of the mechanisms behind the evolution of complex morphological traits.

evolutionary biology↗

Epistasis and physico-chemical constraints contribute to spatial clustering of amino acid substitutions in protein evolution.

The causes of rate variation among sites within proteins are as yet poorly understood. Here, we compare the spatial autocorrelation of non-synonymous substitutions among species within diverse phylogenetic groups: Saccharomyces, Drosophila, Arabidopsis, and primates. Across these taxa, we find that amino acid substitutions exhibit excess clustering that extends over a 20-30 codon length (10-20 Angstrom distance) scale. We show that these substitutions cluster more strongly and exhibit compensatory dynamics within species lineages but exhibit patterns of convergent evolution between lineages. We evaluate a simple model of thermodynamic constraints on protein folding and conclude that it is unable to recapitulate the observed spatial clustering of substitutions. While pairs of substitutions with the strongest epistasis tend to spatially cluster in these simulations, the magnitude and length scale are smaller than that observed in real data. Additionally, we show that the pattern of convergent substitution is also not expected under this model, suggesting it is likely caused by factors other than these simple thermodynamic constraints. Our results support a prevalent role for epistasis and convergent evolution in shaping protein evolution across the tree of life.

evolutionary biology↗

Adaptive substitutions underlying cardiac glycoside insensitivity in insects exhibit epistasis in vivo.

Predicting how species will respond to selection pressures requires understanding the factors that constrain their evolution. We use genome engineering of Drosophila to investigate constraints on the repeated evolution of unrelated herbivorous insects to toxic cardiac glycosides, which primarily occurs via a small subset of possible functionally-relevant substitutions to Na+,K+-ATPase. Surprisingly, we find that frequently observed adaptive substitutions at two sites, 111 and 122, are lethal when homozygous and adult heterozygotes exhibit dominant neural dysfunction. We identify a phylogenetically correlated substitution, A119S, that partially ameliorates the deleterious effects of substitutions at 111 and 122. Despite contributing little to cardiac glycoside-insensitivity in vitro, A119S, like substitutions at 111 and 122, substantially increases adult survivorship upon cardiac glycoside exposure. Our results demonstrate the importance of epistasis in constraining adaptive paths. Moreover, by revealing distinct effects of substitutions in vitro and in vivo, our results underscore the importance of evaluating the fitness of adaptive substitutions and their interactions in whole organisms.

evolutionary biology↗