Biology subjects

Rand, D. M.

Publications and source records attributed to Rand, D. M..

10 recordsLinked to original sources

bioRxiv2026

Do divergent mitochondrial backgrounds alter the fate of nuclear alleles during hybridization and admixture?

Hybridization brings together genetic variation from different populations or species into admixed genomes. As selection sorts this variation, the fate of each allele is determined by its fitness effect in the new hybrid genomic background. Because mitochondrial genes coevolve with the nuclear genome, they may be especially sensitive to foreign nuclear backgrounds, making them potential "hot-spots" for hybrid incompatibilities. Here, we test whether selection against mitonuclear incompatibilities drives repeatable hybridization outcomes. Specifically, we experimentally evolved three sets of five populations of hybrid Drosophila melanogaster, each carrying the same nuclear chromosomes but paired with one of three increasingly divergent mitochondrial DNA backgrounds. We hypothesized that accumulated incompatibilities would result in different patterns of nuclear admixture among mitochondrial backgrounds. To test this, we tracked nuclear allele frequencies in all 15 populations by whole-genome sequencing at intermediate time points. After 25 generations, we observed that rapid genomic evolution produced a strikingly parallel mosaic of both nuclear ancestries, independent of mitochondrial background. Contrary to our hypothesis, we found no evidence that mitochondrial background1 shaped nuclear admixture, even for interspecific combinations. These results suggest that in species with large effective population sizes, efficient purifying selection limits the accumulation of mitonuclear incompatibilities, allowing selection on nuclear alleles to promote repeatable ancestry sorting immediately following hybridization.

evolutionary biology↗

bioRxiv2026

Evolutionary Divergence of mTOR-mediated Transcriptional Regulation Between Drosophila melanogaster and Drosophila simulans is Modulated by Sex and Tissue

Evolutionary divergence in gene regulation is a major source of phenotypic novelty, yet understanding how deeply conserved, pleiotropic signaling pathways evolve under selective constraint while maintaining essential cellular functions remains an important challenge. Here, we investigate the evolutionary divergence in transcriptional regulation mediated by the mechanistic target of rapamycin (mTOR) pathway in two related species, Drosophila melanogaster and Drosophila simulans. mTOR is a highly conserved central regulator of cellular growth and metabolism, making it well-suited for the study of regulatory evolution under functional constraint. Using a fully factorial RNA-seq design, we quantified transcriptional responses to mTOR inhibition by rapamycin across three tissues (head, thorax, and abdomen) and both sexes. Despite highly conserved tissue-specific expression - reflecting the close phylogenetic relationship between species - mTOR-mediated transcriptional responses showed clear evidence of evolutionary divergence. Divergence varied across tissues and sexes: heads of both sexes and female thoraces and abdomens showed the most rapid gene-level divergence, suggesting stronger directional selection, whereas male thorax and abdomen exhibited comparatively conserved responses, consistent with stabilizing selection. Gene-level divergence patterns were consistent across multiple metrics and generally mirrored pathway-level divergence, except in the female abdomen, which showed relative pathway-level conservation despite extensive gene-level divergence. Species-by-treatment interaction analyses further revealed divergence in core mTOR-regulated biological processes. Together, our results suggest that regulatory modularity may allow even highly conserved signaling pathways to evolve under context-specific selective pressures while maintaining critical functionality. Significance statementThe evolution of gene regulation is increasingly recognized as a major contributor to biological diversification. However, how highly pleiotropic and deeply conserved pathways evolve new regulatory effects without disrupting essential cellular functions remains an open question in evolutionary biology. Using the nutrient-sensing mTOR pathway as a model, we show that gene regulation mediated by this core, selectively-constrained signaling network has diverged between two closely related fruit fly species in a tissue- and sex-specific manner. Our findings suggest that even pleiotropic pathways like mTOR can diverge over short evolutionary timescales, and that regulatory modularity may facilitate the evolution of novel transcriptional effects in specific contexts while preserving essential functions.

evolutionary biology↗

bioRxiv2025

Absence of Mothers Curse for performance traits among divergent mtDNAs in heterozygous nuclear backgrounds in Drosophila

Maternal inheritance allows selection to act on mtDNA-encoded effects in females but prevents direct selection on mtDNA in males. Mutations that are deleterious in males but neutral or beneficial in females can persist in populations. This predicts that mtDNA-based phenotypic variation should be more common among males than among females, a pattern referred to as Mothers Curse (MC). Most studies of MC place alternative mtDNAs on common homozygous nuclear chromosomal backgrounds, a condition not common in nature. Moreover, it is not known whether MC effects accumulate as mtDNAs acquire nucleotide substitutions between populations or species. We tested the MC hypothesis using mtDNAs from Drosophila melanogaster (OreR, Zimbabwe or w1118), D. simulans (siI and siII) and D. yakuba each placed on several D. melanogaster nuclear backgrounds heterozygous for different chromosomal deficiencies paired with a common w1118 chromosome set. Females and males were tested for starvation resistance, climbing speed, and flight performance. In the majority of chromosomal backgrounds the variance among mtDNA genotypes was greater in females than in males, opposite from the central prediction of Mothers Curse. This suggests that additive and dominance variation across the nuclear genome may provide nuclear blessings that can counter the curse of maternally inherited mtDNA. Teaser textMothers Curse (MC) posits that selection on mtDNA should be stronger in females than in males due to maternal inheritance of mtDNA. This predicts that phenotypic variation among mtDNA genotypes should be lower for females and higher for males. There is conflicting experimental evidence for MC. Most studies of MC have used a common, homozygous nuclear background and have not explored the influence of divergent mtDNAs as strong predictors of MC effects. We address both issues by assaying performance traits among mtDNAs of varying levels of divergence on heterozygous backgrounds. The data fail to support the MC hypothesis and even reveal the opposite effect that females have greater phenotypic variation across mtDNAs. MC may operate in some contexts, but it is not a consistent force in evolutionary genetics.

evolutionary biology↗

bioRxiv2025

Genetic and environmental interactions outweigh mitonuclear coevolution for complex traits in Drosophila

The interdependent relationship between mitochondrial and nuclear genomes is a powerful model for understanding how epistasis shapes the architecture and evolution of complex traits. Once considered a neutral marker, mitochondrial DNA variation is now recognized as critical to phenotypic evolution because of its epistatic interactions and history of coevolution with the nuclear genome. A central challenge in evolutionary genetics is to quantify the relative importance of stabilizing and directional selection shaping complex trait distributions within and among species. Both can act on interacting and/or co-evolving genes contributing to quantitative traits, but resolving their relative roles is complicated by the complex architecture of most traits. Here, we use a panel of 90 Drosophila mitonuclear genotypes to quantify the relative contributions of mitochondrial, nuclear, and environmental variation and their interactions to four metabolically demanding complex traits. We sample both within-species and between-species mitochondrial variation and observe stronger interaction effects attributable to within-species variation, consistent with stabilizing selection maintaining mitonuclear function. Additionally, culturing the flies on a mitochondrial Complex I inhibitor, rotenone, reveals significant genotype x environment (GxE and GxGxE) interaction effects, providing insight into how genetic variation can be maintained across changing environments. Our results have broader implications in medicine, where mitochondrial DNA donors with longer purifying selection histories may be safer for mitochondrial replacement therapies.

evolutionary biology↗

bioRxiv2024

Natural variation in starvation sensitivity maps to a point mutation in phospholipase IPLA2-VIA in Drosophila melanogaster

Resistance to starvation is a classic complex trait where genetic and environmental variables can greatly modify an animals ability to survive without nutrients. Genetic analyses in Drosophila have shown that starvation resistance is highly polygenic with different genetic architectures in different mapping populations. In this study we sought to dissect the genetic basis of starvation resistance among a set of mitonuclear genotypes carrying different mtDNAs paired with specific nuclear genomes from the Drosophila Genetic Reference Panel (DGRP). We focused on differences between one of the most sensitive strains (DGRP-765) and a strain with more moderate resistance (DGRP-315) whose starvation phenotypes appeared to be modified by alternative mtDNAs. Using complementary pooled-sequencing and forward genetic mapping approaches, we identified regions of chromosomes 2L, 3L and 3R contributing to starvation sensitivity and localize a major effect locus modifying starvation resistance to the coding region of phospholipase iPLA2-VIA. These analyses further confirm that the alternative mtDNAs had little influence on variation in starvation resistance between the genotypes studied. The sensitive line shows a starvation-dependent depletion of glucose and glycogen that is modified by hemi- and heterozygosity in the iPLA2-VIA region. These findings contribute to our understanding of the complex genetic relationship between resistance to starvation stress and nutrient metabolism.

genetics↗

bioRxiv2021

Proprioceptive Genes as a Source of Genetic Variation Underlying Robustness for Flight Performance in Drosophila

A central challenge of quantitative genetics is partitioning phenotypic variation into genetic and non-genetic components. These non-genetic components are usually interpreted as environmental effects; however, variation between genetically identical individuals in a common environment can still exhibit phenotypic variation. A traits resistance to variation is called robustness, though the genetics underlying it are poorly understood. Accordingly, we performed an association study on a previously studied, whole organism trait: robustness for flight performance. Using 197 of the Drosophila Genetic Reference Panel (DGRP) lines, we surveyed variation across single nucleotide polymorphisms, whole genes, and epistatic interactions to find genetic modifiers robustness for flight performance. There was an abundance of genes involved in the development of sensory organs and processing of external stimuli, supporting previous work that processing proprioceptive cues is important for affecting variation in flight performance. Additionally, we tested insertional mutants for their effect on robustness using candidate genes found to modify flight performance. These results suggest several genes involved in modulating a trait mean are also important for affecting trait variance, or robustness, as well. Article SummaryWe sought to understand the genetic architecture of robustness (variation in a trait caused by non-genetic factors) for flight performance. We used 197 Drosophila Genetic Reference Panel (DGRP) lines to find significant individual variants and pairs of epistatic interactions, many of which were involved in proprioception. Additionally, we validated significant genes identified from a prior study for the mean of flight performance, showing genes affecting trait means may also affect trait robustness.

genetics↗

bioRxiv2020

The Genetic Architecture of Robustness for Flight Performance in Drosophila

A central challenge of quantitative genetics is partitioning phenotypic variation into genetic and non-genetic components. These non-genetic components are usually interpreted as environmental effects; however, variation between genetically identical individuals in a common environment can still exhibit phenotypic variation. A traits resistance to variation is called robustness, though the genetics underlying it are poorly understood. Accordingly, we performed an association study on a previously studied, whole organism trait: flight performance. Using 197 of the Drosophila Genetic Reference Panel (DGRP) lines, we surveyed variation at the level of single nucleotide polymorphisms and whole genes using additive, marginal, and epistatic analyses that associated with robustness for flight performance. Many genes had developmental and neurodevelopmental annotations, and many more were identified from associations that differed between sexes. Additionally, many genes were pleiotropic, with several annotated for fitness-associated traits (e.g. gametogenesis and courtship). Our results corroborate a previous study for genetic modifiers of micro-environmental variation, and have sizable overlap with studies for modifiers of wing morphology and courtship behavior. These results point to an important and shared role for genetic modifiers of robustness of flight performance affecting development, neurodevelopment, and behavior.

genetics↗

bioRxiv2020

Ecological load and balancing selection in circumboreal barnacles

Acorn barnacle adults experience environmental heterogeneity at various spatial scales of their circumboreal habitat, raising the question of how adaptation to high environmental variability is maintained in the face of strong juvenile dispersal and mortality. Here we show that 4% of genes in the barnacle genome experience balancing selection across the entire range of the species. Many of these genes harbor mutations maintained across 2 million years of evolution between the Pacific and Atlantic oceans. These genes are involved in ion regulation, pain reception, and heat tolerance, functions which are essential in highly variable ecosystems. The data also reveal complex population structure within and between basins, driven by the trans-Arctic interchange and the last glaciation. Divergence between Atlantic and Pacific populations is high, foreshadowing the onset of allopatric speciation, and suggesting that balancing selection is strong enough to maintain functional variation for millions of years in the face of complex demography.

evolutionary biology↗

bioRxiv2020

FreeClimber: Automated quantification of climbing performance in Drosophila, with examples from mitonuclear genotypes

Negative geotaxis (climbing) performance is a useful metric for quantifying Drosophila health and vigor. Manual methods to quantify climbing performance are slow, tedious, and may be systematically biased, while available computational methods have inflexible hardware or software requirements. We present an alternative: FreeClimber. This open source, Python-based pipeline subtracts a video’s static background to improve spot detection for moving flies in heterogeneous backgrounds. FreeClimber calculates a cohort’s velocity as the slope of the most linear portion of a mean-vertical position vs. time plot. It can run from a graphical user interface for parameter optimization or a command line interface for high-throughput and automated batch processing. It outputs calculated slopes, spot locations for follow up analyses such as tracking, and several visualizations and diagnostic plots. We demonstrate FreeClimber’s utility in a longitudinal study for endurance exercise performance in Drosophila using six distinct mitochondrial haplotypes paired with a common w1118 nuclear background.Summary statement FreeClimber quantifies the climbing velocity for a group of flies, eliminating systematic biases associated with traditional manual methods in a high throughput and automated (graphical and/or command line-based) platform.List of Symbols and AbbreviationsecceccentricityGUIGraphical User Interfacemito-nuclearMitochondrial-nuclearmitotypesMitochondrial haplotypeOreROregon RROIRegion of InterestyakyakubaZimZimbabwe53View Full Text

bioinformatics↗

bioRxiv2020

Natural variation in the regulation of neurodevelopmental genes modifies flight performance in Drosophila

The winged insects of the order Diptera are colloquially named for their most recognizable phenotype: flight. These insects rely on flight for a number of important life history traits, like dispersal, foraging, and courtship. Despite the importance of flight, relatively little is known about the genetic architecture of variation for flight performance. Accordingly, we sought to uncover the genetic modifiers of flight using a measure of flies reaction and response to an abrupt drop in a vertical flight column. We conducted an association study using 197 of the Drosophila Genetic Reference Panel (DGRP) lines, and identified a combination of additive and marginal variants, epistatic interactions, whole genes, and enrichment across interaction networks. We functionally validated 13 of these candidate genes (Adgf-A/Adgf-A2/CG32181, bru1, CadN, CG11073, CG15236, CG9766, CREG, Dscam4, form3, fry, Lasp/CG9692, Pde6, Snoo) contribution to flight, two of which (fry and Snoo) also validate a whole gene analysis we introduce for the DGRP: PEGASUS_flies. Overall, our results suggest modifiers of muscle and wing morphology, and peripheral and central nervous system assembly and function are all important for flight performance. Additionally, we identified ppk23, an Acid Sensing Ion Channel (ASIC) homolog, as an important hub for epistatic interactions. These results represent a snapshot of the genetic modifiers affecting drop-response flight performance in Drosophila, with implications for other insects. It also draws connections between genetic modifiers of performance and BMP signaling and ASICs as targets for treating neurodegeneration and neurodysfunction. Author summaryInsect flight is a widely recognizable phenotype of winged insects, hence the name: flies. While fruit flies, or Drosophila melanogaster, are a genetically tractable model, flight performance is a highly integrative phenotype, making it challenging to comprehensively identify the genetic modifiers that contribute to its genetic architecture. Accordingly, we screened 197 Drosophila Genetic Reference Panel lines for their ability to react and respond to an abrupt drop. Using several computational tools, we successfully identified several additive, marginal, and epistatic variants, as well as whole genes and altered sub-networks of gene-gene and protein-protein interaction networks, demonstrating the benefits of using multiple methodologies to elucidate the genetic architecture of complex traits more generally. Many of these significant genes and variants mapped to regions of the genome that affect development of sensory and motor neurons, wing and muscle development, and regulation of transcription factors. We also introduce PEGASUS_flies, a Drosophila-adapted version of the PEGASUS platform first used in human studies, to infer gene-level significance of association based on the distribution of individual variant P-values. Our results contribute to the debate over the relative importance of individual, additive factors and epistatic, or higher order, interactions, in the mapping of genotype to phenotype.

genetics↗