Biology subjects

Groot, A. T.

Publications and source records attributed to Groot, A. T..

9 recordsLinked to original sources

bioRxiv2026

Enemies, more than sex, shape butterfly post-mating odor evolution

Not all odors influencing mating behavior evolve as sex pheromones. Female butterflies post-mating odors have been considered species-specific anti-aphrodisiac pheromones shaped by sexual selection but may also serve broader ecological roles shaped by natural selection. Males transfer odors to females that repel rivals, yet the widespread use of these compounds across phyla makes them targets for eavesdropping, such as by phoretic egg parasitoids. We show that in cabbage white butterflies (Pieris spp.), these odors are highly variable and attract parasitoids, deter predators, and influence oviposition. Using gas chromatography and electroantennography, we demonstrate that odor emission and perception lack species-specificity: compounds once thought unique to P. brassicae and P. rapae are shared across Pieridae. In P. napi, odor variation among populations correlates with parasitoid pressure, but not with latitude, genetic distance, or mating frequency, suggesting ecological rather than sexual drivers. In P. brassicae, CRISPR/Cas9 disruption of odor perception alters oviposition and increases susceptibility to parasitism. Moreover, these odors render females unpalatable to birds. Together, our results show that post-mating odors in Pieris butterflies may act as aposematic signals. We provide evidence that these signals evolve under multiple selective pressures, balancing deterrence of mates and predators, parasitoid avoidance, and host-plant interactions. These findings suggest that chemical signals should be viewed as integrating ecological and reproductive pressures, rather than being interpreted solely through the lens of sexual communication.

ecology↗

bioRxiv2025

Additive effects of environmental and demographic variation shape the repeatability of evolution across replicated experiments

The repeatability of evolution is fundamentally important for understanding the origin and diversification of life as well as for developing evolutionary forecasting tools. Repeatability is limited by stochasticity, here defined as changes that are independent of genotypic fitness effects. Over short timescales, the two main sources of stochasticity of evolutionary change are environmental stochasticity and demographic (life-history) stochasticity. Quantifying the relative importance of these two sources of stochasticity in driving fitness outcomes is crucially important for predicting evolutionary responses. To gain insights in the effects of stochasticity, five institutes replicated an evolutionary experiment exposing Caenorhabditis elegans to novel rearing conditions. Replication across the institutes led to variation in selective environments, e.g. through divergent microbiomes among institutes. Replication within institutes was done across demographic treatments that influence the potential for population-size dependent fluctuations in allele frequencies (drift) and genetic hitchhiking (draft). We found high among-institute variation in fitness outcomes, which was partially explained by variation in microbiota. Whereas lab-specific effects explained most of the variance in mean fitness, the repeatability of fitness outcomes depended more on demographic heterogeneity. Specifically, population bottlenecks resulted in high among-replicate variation in fitness. When combined, environmental and demographic stochasticity additively reduced repeatability, underlining their additive importance in developing evolutionary forecasting tools. These results further highlight the importance of statistically integrating heterogeneity in experimental evolution to identify factors constraining outcome repeatability and study replicability.

evolutionary biology↗

bioRxiv2025

Genome sequencing confirms cryptic diversity and potentially adaptive changes in gene content of Lepidoptera-infecting Apicomplexa

Apicomplexan parasites of insects represent a largely unexplored branch of the tree of life. Their small size and lack of informative phenotypic traits can obscure their diversity and many lineage-specific adaptations to different host species. To better understand how these parasites have evolved, we have sequenced and annotated the genome of a neogregarine parasite of moths including Helicoverpa armigera. This parasite, which we term Helicoverpa-infecting Ophryocystis, has a tiny 7 Megabase genome with only 2,200 protein-coding genes. Using phylogenomic methods, we place it as the closest currently sequenced relative to Ophryocystis elektroscirrha and its sister lineage, both of which infect milkweed butterflies. We then explore evolution of the ATPase gene family, which is known to be reduced in other Ophryocystis lineages. Helicoverpa-infecting Ophryocystis has more ATPase genes than other Ophryocystis, which may relate to the interactions of parasites with phytochemistry encountered in their insect hosts. These results demonstrate both the amount of uncertainty remaining in the insect-infecting Apicomplexa as well as the utility of applying modern genomic approaches to their study.

evolutionary biology↗

bioRxiv2022

Distinguishing between canonical and non-canonical tRNA genes reveals that Thermococcaceae adhere to the standard archaeal tRNA gene set

Automated genome annotation is essential for extracting biological information from sequence data. The identification and annotation of tRNA genes is frequently performed by the software package tRNAscan-SE, the output of which is listed for selected genomes in the Genomic tRNA database (GtRNAdb). Here, we highlight a pervasive error in prokaryotic tRNA gene sets on GtRNAdb: the mis-categorization of partial, non-canonical tRNA genes as standard, canonical tRNA genes. Firstly, we demonstrate the issue using the tRNA gene sets of 20 organisms from the archaeal taxon Thermococcaceae. According to GtRNAdb, these organisms collectively deviate from the expected set of tRNA genes in 15 instances, including the listing of eleven putative canonical tRNA genes. However, after detailed manual annotation, only one of these eleven remains; the others are either partial, non-canonical tRNA genes resulting from the integration of genetic elements or CRISPR-Cas activity (seven instances), or attributable to ambiguities in input sequences (three instances). Secondly, we show that similar examples of the mis-categorization of predicted tRNA sequences occur throughout the prokaryotic sections of GtRNAdb. While both canonical and non-canonical prokaryotic tRNA gene sequences identified by tRNAscan-SE are biologically interesting, the challenge of reliably distinguishing between them remains. We recommend employing a combination of (i) screening input sequences for the genetic elements typically associated with non-canonical tRNA genes, and ambiguities, (ii) activating the tRNAscan-SE automated pseudogene detection function, and (iii) scrutinizing predicted tRNA genes with low isotype scores. These measures greatly reduce manual annotation efforts, and lead to improved prokaryotic tRNA gene set predictions.

genomics↗

bioRxiv2021

Population genetic bottleneck has only marginal effects on fitness evolution and its repeatability in dioecious C. elegans

The predictability of evolution is expected to depend on the relative contribution of deterministic and stochastic processes. This ratio is modulated by effective population size. Smaller effective populations harbor less genetic diversity and stochastic processes are generally expected to play a larger role, leading to less repeatable evolutionary trajectories. Empirical insight into the relationship between effective population size and repeatability is limited and focused mostly on asexual organisms. Here, we tested whether fitness evolution was less repeatable after a population bottleneck in obligately outcrossing populations of Caenorhabditis elegans. Replicated populations founded by 500, 50, or 5 individuals (no/moderate/strong bottleneck) were exposed to a novel environment with a different bacterial prey. As a proxy for fitness, population size was measured after one week of growth before and after 15 weeks of evolution. Surprisingly, we found no significant differences among treatments in their fitness evolution. Even though the strong bottleneck reduced the relative contribution of selection to fitness variation, this did not translate to a significant reduction in the repeatability of fitness evolution. Thus, although a bottleneck reduced the contribution of deterministic processes, we conclude that the predictability of evolution may not universally depend on effective population size, especially in sexual organisms.

evolutionary biology↗

bioRxiv2021

Experimental evolution of a pheromone signal

Sexual signals are important in speciation, but understanding their evolution is complex as these signals are often composed of multiple, genetically interdependent components. To understand how signals evolve, we thus need to consider selection responses in multiple components and account for the genetic correlations among components. One intriguing possibility is that selection changes the genetic covariance structure of a multicomponent signal in a way that facilitates a response to selection. However, this hypothesis remains largely untested empirically. In this study, we investigate the evolutionary response of the multicomponent female sex pheromone blend of the moth Heliothis subflexa to 10 generations of artificial selection. We observed a selection response of about 3/4s of a phenotypic standard deviation in the components under selection. Interestingly, other pheromone components that are biochemically and genetically linked to the components under selection did not change. We also found that after the onset of selection, the genetic covariance structure diverged, resulting in the disassociation of components under selection and components not under selection across the first two genetic principle components. Our findings provide rare empirical support for an intriguing mechanism by which a sexual signal can respond to selection without possible constraints from indirect selection responses.

evolutionary biology↗

bioRxiv2021

Toward an understanding of the chemical ecology of alternative reproductive tactics in the bulb mite (Rhizoglyphus robini)

BackgroundUnder strong sexual selection, certain species evolve distinct intrasexual, alternative reproductive tactics (ARTs). In many cases, ARTs can be viewed as environmentally-cued threshold traits, such that ARTs coexist if their relative fitness alternates over the environmental cue gradient. Surprisingly, the chemical ecology of ARTs has been underexplored in this context. To our knowledge, no prior study has directly quantified pheromone production for ARTs in a male-polymorphic species. Here, we used the bulb mite--in which males are either armed fighters that kill conspecifics, or unarmed scramblers--as a model system to gain insight into the role of pheromones in the evolutionary maintenance of ARTs. Given that scramblers forgo investment into weaponry, we tested whether scramblers produce higher pheromone quantities than fighters, which would improve the fitness of the scrambler phenotype, e.g. through female mimicry to avoid aggression from competitors. To this end, we sampled mites from a rich and a poor nutritional environment and quantified their production of the female sex pheromone -acaridial through gas chromatography analysis. ResultsWe found a positive relationship between pheromone production and body size, but males exhibited a steeper slope in pheromone production with increasing size than females. Females exhibited a higher average pheromone production than males. We found no significant difference in slope of pheromone production over body size between fighters and scramblers. However, scramblers reached larger body sizes and higher pheromone production than fighters, providing some evidence for a potential female mimic strategy adopted by large scramblers. Pheromone production was significantly higher in mites from the rich nutritional environment than the poor environment. ConclusionFurther elucidation of pheromone functionality in bulb mites, and additional inter-and intrasexual comparisons of pheromone profiles are needed to determine if the observed intersexual and intrasexual differences in pheromone production are adaptive, if they are a by-product of allometric scaling, or diet-mediated pheromone production under weak selection. We argue chemical ecology offers a novel perspective for research on ARTs and other complex life-history traits.

evolutionary biology↗

bioRxiv2021

Sex pheromone signal and stability covary with fitness

If sexual signals are costly to produce or maintain, covariance between signal expression and fitness is expected. This signal-fitness covariance is important evolutionarily, because it can contribute to the maintenance of genetic variation in signal traits, despite selection from mate preferences. Chemical signals, such as moth sex pheromones, have traditionally been assumed to be stereotypical species-recognition signals, but their relationship with fitness is unclear. Here we test the hypothesis that for chemical signals that are primarily used for conspecific mate finding, there is covariation between signal properties and fitness in the noctuid moth Heliothis subflexa. Additionally, as moth signals are synthesized de novo every night throughout the females reproductive life, the maintenance of the signal can be costly. Therefore, we also hypothesized that fitness covaries with signal stability (i.e. the lack of intra-individual variation over time). We measured among- and within-individual variation in pheromone amount and composition as well as fecundity, fertility, and fitness in two independent groups of females that differed in the time in between two consecutive pheromone samples. In both groups, we found reproductive success and longevity to be correlated with pheromone amount, composition, and stability, supporting both our hypotheses. This study is the first to report a correlation between fitness and sex pheromone composition in moths, solidifying previous indications of condition-dependent moth pheromones and highlighting how signal-fitness covariance may contribute to heritable variation in chemical signals both among and within individuals.

evolutionary biology↗

bioRxiv2018

The Bellerophon pipeline, improving de novo transcriptomes and removing chimeras

Transcriptome quality control is an important step in RNA-seq experiments. However, the quality of de novo assembled transcriptomes is difficult to assess, due to the lack of reference genome to compare the assembly to. We developed a method to assess and improve the quality of de novo assembled transcriptomes by focusing on the removal of chimeric sequences. These chimeric sequences can be the result of faulty assembled contigs, merging two transcripts into one. The developed method is incorporated into a pipeline, that we named Bellerophon, which is broadly applicable and easy to use. Bellerophon first uses the quality-assessment tool TransRate to indicate the quality, after which it uses a Transcripts Per Million (TPM) filter to remove lowly expressed contigs and CD-HIT-EST to remove highly identical contigs. To validate the quality of this method, we performed three benchmark experiments: 1) a computational creation of chimeras, 2) identification of chimeric contigs in a transcriptome assembly, 3) a simulated RNAseq experiment using a known reference transcriptome. Overall, the Bellerophon pipeline was able to remove between 40 to 91.9% of the chimeras in transcriptome assemblies and removed more chimeric than non-chimeric contigs. Thus, the Bellerophon sequence of filtration steps is a broadly applicable solution to improve transcriptome assemblies.

bioinformatics↗