Biology subjects

Oostra, V.

Publications and source records attributed to Oostra, V..

9 recordsLinked to original sources

bioRxiv2026

Evolution of Reproductive Plasticity in a Seasonal Tropical Environment

Seasonality drives the evolution of reproductive plasticity in butterflies. An extreme form is reproductive diapause, where individuals halt reproduction during unfavourable seasons through cascades translating predictive environmental cues into reproductive phenotypes. How diapause evolves from milder forms of plasticity through changes in those cascades is poorly understood. In the tropics seasonality is common, but it is unclear how phylogenetically widespread reproductive diapause is, and exactly how seasonal tropical climates drive reproductive plasticity. Here, we study reproductive plasticity in Amazon butterflies using a multi-year monthly time series of reproductive phenotypes. Sampling 4 subfamilies across Nymphalids, we observe a phylogenetically widespread occurrence of diapause, suggesting repeated evolutionary changes in reproductive plasticity. Detailed analyses of two Catonephele species reveal a shared temperature response, but dry season diapause only in C. acontius. Thus, evolution of diapause combines cue conservation with species-specific divergence of trait plasticity, suggesting gradual and modular evolution of reproductive plasticity.

evolutionary biology↗

bioRxiv2026

Genome Report: Long read, high-coverage reference genomes of the Nymphalid butterflies Catonephele acontius and C. numilia (Nymphalidae: Biblidinae)

Withdrawal StatementThe authors have withdrawn this manuscript because in February 2026, the authors found that the Catonephele numilia specimen was misidentified and was in fact also Catonephele acontius. Thus, the data in the article describing the Catonephele numilia genome is invalid, as it in fact describes a second Catonephele acontius genome. This data invalidation has resulted in a loss of confidence in the results and conclusions reported in the article as far as they apply to Catonephele numilia. The data describing Catonephele acontius is not affected and remains valid. The authors are, therefore, retracting this article. All authors agree with the retraction. Therefore, the authors do not wish this work to be cited as reference for the project. If you have any questions, please contact the corresponding author.

genomics↗

bioRxiv2025

A high-quality draft genome assembly of the Neotropical butterfly, Batesia hypochlora (Nymphalidae: Biblidinae)

We report a long-read high-coverage reference genome assembly of the Neotropical butterfly, Batesia hypochlora (Nymphalidae: Biblidinae). This represents the first reference genome in the Biblidinae subfamily, a clade subject to ongoing studies on seasonal and climate adaptation in the Amazon. We assembled the genome from PacBio HiFi long reads (66X coverage), polished it with Illumina short reads (15X coverage), and annotated it using PacBio IsoSeq RNA data. We observed 15 chromosome-sized scaffolds varying in length from 13.2 Mbp to 37.6 Mbp (median 24.3 Mbp), combining a total genome size of 395.788 Mbp. This assembly is highly contiguous (contig N50 of 25.14 Mbp) and complete (BUSCO completeness score of 98.6% and 0.2% duplication rate). Repeat annotation revealed that the genome consists of about one-third transposable elements. Gene prediction using RNAseq evidence uncovered 19,395 genes, of which 17,400 were assigned to 2,883 orthogroups when including genomes of the fruitfly, silk moth, and three other Nymphalid butterfly species. The high sequencing depth also allowed us to assemble the genomes of the mitochondria and the common endosymbiotic bacterium Wolbachia. The mitochondrial genome was fully assembled (15,540 bp in size) with all expected genes annotated. The Wolbachia genome was fragmented, and we determined that it belongs to the B-supergroup. The high-quality assembly of B. hypochlora can represent the subfamily in further comparative analysis of evolution and provide a key resource for ongoing work to explore reproductive biology and adaptations to seasonality in Amazonian butterflies.

genomics↗

bioRxiv2025

Recovering ecological interactions by mining non-target data from whole genome re-sequencing projects

The study of parasitic species can shed light on aspects of their hosts ecology. Such interactions are however often unknown or understudied due to the difficulty to detect and/or quantify many infections. Whole-genome sequencing and re-sequencing data have been generated at an increasing rate and reduced costs over the last two decades. Projects based on whole organisms, like whole insect specimens, provide genomic material for the target taxon, but may also include sequencing reads from associated microbes and other parasites. Here, we screened for the presence of non-host reads in a collection of whole-genome (re-) sequence projects from the Glanville fritillary butterfly, Melitaea cinxia, a model organism in research on the ecology and evolution of species in spatially structured and fragmented landscapes. We identified infections with different bacteria and eukaryotic parasites, which are shared between populations and underly both previously known and new biotic interactions for this butterfly species. The bacterial symbiont Wolbachia, usually common in insects, was found at relatively low prevalence, while Spiroplasma was ubiquitous across samples from several European populations of the butterfly. Additionally, we confirmed expected rates of larval parasitism by at least two parasitoid wasps. Such results provide proof of principle that key ecological interactions can be uncovered efficiently from existing data, an important first step to characterising the role host-associated organisms play in shaping the ecology and evolutionary history of their host species.

ecology↗

bioRxiv2023

Larval growth rate affects wing shape more than eyespot size in the seasonally polyphenic butterfly Melanitis leda

Butterflies often show adaptive phenotypic plasticity where environmental cues during early stages are used to produce a phenotype that maximizes fitness in the environment experienced by adults. Many tropical satyrine butterflies (Nymphalidae: Satyrinae) are seasonally polyphenic and produce distinct wet- and dry-season form adults providing tight environment-phenotype matching in seasonal environments. Dry-season forms, which are expressed in the dry season, can be induced in the laboratory by growing larvae at low temperatures or on poor food quality. Since both these factors also tend to reduce larval growth rate, larval growth rate may be an internal cue that translates the environmental cues into the expression of phenotypes. If this is the case, we predict that slower-growing larvae would be more likely to develop a dry-season phenotype. To test this hypothesis, we measured both larval growth rate and adult phenotype (eyespot size and wing shape) of individuals of the common evening brown butterfly (Melanitis leda), reared at various temperatures and on various host-plant species. We found that among treatments, larvae with lower growth rates (low temperature, particular host plants) were more likely to develop dry-season phenotypes (small eyespots, falcate wing tips), but within treatments, larval growth rate was mainly linked to wing shape, not eyespot size. These relationships tended to be stronger for males than females as males showed a wider range of eyespot sizes and wing shapes. Overall, only plasticity in wing shape appears to be (partly) mediated by larval growth, and in a sex-specific manner.

evolutionary biology↗

bioRxiv2021

Alternative developmental and transcriptomic responses to host plant water limitation in a butterfly metapopulation

Predicting how climate change affects biotic interactions and their evolution poses a challenge. Plant-insect herbivore interactions are particularly sensitive to climate change, as climate-induced changes in plant quality cascade into the performance of insect herbivores. Whereas the immediate survival of herbivore individuals depends on plastic responses to climate change induced nutritional stress, long-term population persistence via evolutionary adaptation requires genetic variation for these responses. In order to assess the prospects for population persistence under climate change, it is therefore crucial to characterise response mechanisms to climate change induced stressors, and quantify their variability in natural populations. Here, we test developmental and transcriptomic responses to water limitation induced host plant quality change in a Glanville fritillary butterfly (Melitaea cinxia) metapopulation. We combine nuclear magnetic resonance spectroscopy on the plant metabolome, larval developmental assays and an RNA seq analysis of the larval transcriptome. We observed that responses to feeding on water limited plants, in which amino acids and aromatic compounds are enriched, showed marked intrapopulation variation, with individuals of some families performing better on control and others on water limited plants. The transcriptomic responses were concordant with the developmental responses: Families exhibiting opposite developmental responses also produced opposite transcriptomic responses, e.g. in growth associated intracellular signalling. The opposite developmental and transcriptomic responses are associated with between families differences in organic compound catabolism and storage protein production. The results reveal heritable intrapopulation variability in plasticity, suggesting potential for evolutionary responses to drought-induced changes in host plant quality in the Finnish M. cinxia metapopulation.

ecology↗

bioRxiv2020

Improved chromosome level genome assembly of the Glanville fritillary butterfly (Melitaea cinxia) based on SMRT Sequencing and linkage map.

The Glanville fritillary (Melitaea cinxia) butterfly is a long-term model system for metapopulation dynamics research in fragmented landscapes. Here, we provide a chromosome level assembly of the butterflys genome produced from Pacific Biosciences sequencing of a pool of males, combined with a linkage map from population crosses. The final assembly size of 484 Mb is an increase of 94 Mb on the previously published genome. Estimation of the completeness of the genome with BUSCO, indicates that the genome contains 93 - 95% of the BUSCO genes in complete and single copies. We predicted 14,830 gene models using the MAKER pipeline and manually curated 1,232 of these gene models. The genome and its annotated gene models are a valuable resource for future comparative genomics, molecular biology, transcriptome and genetics studies on this species.

genomics↗

bioRxiv2019

Complex multi-trait responses to multivariate environmental cues in a seasonal butterfly

Developmental plasticity in a seasonal environment allows an organism to optimally match its life-history traits with the fluctuating conditions. This critically relies on abiotic and biotic factors, such as temperature or food quality, that act as environmental cues and predict seasonal transitions. In most seasonal environments, multiple factors vary together, making it crucial to understand their combined effects on an organisms phenotype. Here, we study plasticity in a multivariate environment in the butterfly Bicyclus anynana that exhibits two distinct seasonal phenotypes. Temperature is an important cue mediating plasticity in this species, but other environmental cues such as larval host plant quality could also be informative since plant quality deteriorates during the transition from wet to dry season in the field. We examine how temperature and host plant quality interact to affect life-history traits. Using a full-factorial design, we expose cohorts of larvae to either poor (old plants) or high (young plants) quality plants at different temperatures. Our results show that plant quality had a temperature and sex-dependent effect on life-history traits. At lower and intermediate temperatures, it decreased body mass and prolonged development time, indicating that poor plant quality acted as a stressor. However, metabolic rates in adults were not affected, indicating that individuals could, at least in part, compensate for stressful juvenile conditions. In contrast, at higher temperatures poor plant quality induced a partial dry-season phenotype, indicating that it may have acted as an environmental cue. Moreover, poor plant quality, particularly in males, also decreased the correlation between life history traits, signifying disrupted phenotypic integration. Our study reveals complex interactive effects of two environmental variables on seasonal plasticity, reflecting differences in their reliability as seasonal cues. This highlights the importance of studying the combined effects of multiple environmental factors to better understand the regulation of phenotypic plasticity in wild.

ecology↗

bioRxiv2017

Extensive phenotypic plasticity in a seasonal butterfly limits potential for evolutionary responses to environmental change

Understanding how populations adapt to changing environments is a major goal in evolutionary biology and ecology, and particularly urgent for predicting resilience to climate change. Phenotypic plasticity, the ability to express multiple phenotypes from the same genome, is a widespread adaptation to short-term environmental fluctuations, but whether it facilitates adaptation to environmental change on evolutionary timescales, such as those under climate change, remains contentious. Here, we investigate plasticity and adaptive potential in an African savannah butterfly displaying extensive plasticity as adaptation to predictable dry-wet seasonality. We assess the transcriptional architecture of seasonal plasticity and find pervasive gene expression differences between the seasonal phenotypes, reflecting a genome-wide plasticity programme. Strikingly, intra-population genetic variation for this response is highly depleted, possibly reflecting strong purifying selection in its savannah habitat where an environmental cue (temperature) reliably predicts seasonal transitions and the cost of a mismatched phenotype is high. Under climate change the accuracy of such cues may deteriorate, rendering dominant reactions norm maladaptive. Therefore, depleted variation for plasticity as reported here may crucially limit evolutionary potential when conditions change, and seasonally plastic species may in fact be especially vulnerable to climate change.

evolutionary biology↗