Biology subjects

Papadopulos, A. S. T.

Publications and source records attributed to Papadopulos, A. S. T..

9 recordsLinked to original sources

bioRxiv2024

Plastic responses to past environments shape adaptation to novel selection pressures

Phenotypic plasticity may pave the way for rapid adaptation to newly encountered environments. Although it is often contested, there is growing evidence that initial plastic responses of ancestral populations to new environmental cues may promote subsequent adaptation. However, we do not know whether plasticity to cues present in the ancestral habitat (past-cue plasticity) can facilitate adaptation to novel cues. Conceivably, this could occur if plastic responses are coincidentally optimal to both past and novel cues (i.e., are pre-adaptive) or if they are transferred to novel cues during adaptation. Past plastic phenotype values could also become fixed and genetically co-opted during adaptation to the new environment. To uncover the role of past-cue plasticity in adaptation, we tested gene expression plasticity responses of two parallel mine-waste adapted Silene uniflora populations and their closest coastal relatives. Plants were exposed to the past and novel-cues of salt and zinc, which revealed that during adaptation to mine-waste plasticity to salt diminishes. Despite this, our results show that ancestral plasticity to salt has a substantial impact on subsequent adaptation to zinc. For a third of genes that have evolved zinc plasticity in mine populations, salt plasticity has been transferred to the zinc response. Furthermore, a quarter of fixed expression differences between mine and coastal populations were similar to ancestral salt responses. Alongside evidence that ancestral plasticity to novel cues can facilitate adaptation, our results provide a clear indication that ancestral past-cue plasticity can also play a key role in rapid, parallel adaptation to novel habitats. Significance StatementThe role of phenotypic plasticity in promoting adaptation is hotly debated, with conflicting evidence for the benefits of ancestral plasticity in newly encountered environments. Here, we present an alternative mode by which ancestral plasticity can promote adaptation. We investigated whether phenotypic plasticity towards environmental cues that are experienced only in ancestral habitats (past-cue plasticity) can significantly contribute towards rapid adaptation to completely distinct cues. We show that, in the maritime plant species, Silene uniflora, past-cue plasticity to salt has made a substantial contribution to rapid adaptation to heavy-metal pollution in newly encountered habitats. This phenomenon has broad implications for the capacity and predictability of species to persist in the face of anthropogenic environmental change.

evolutionary biology↗

bioRxiv2023

High standing diversity masks extreme genetic erosion in a declining snake.

Average heterozygosity is frequently used as a proxy for genetic health, and to compare genetic diversity between species and populations. However, this measurement could be misleading if the distribution of heterozygosity across the genome is highly skewed. We investigated this pitfall in methodology using whole-genome sequencing of the adder (Vipera berus), a species experiencing dramatic declines in the UK. We find that mean heterozygosity in adders is notably high, exceeding that of other vertebrates typically regarded as genetically diverse. Their genome-wide distribution of heterozygosity, however, approximates a negative exponential distribution, with most genome regions showing extremely low heterozygosity. Modelling approaches show that this pattern is likely to have resulted from a recent, severe bottleneck and fragmentation most likely caused by anthropogenic activity in a previously large, interconnected adder population. Our results highlight that high standing diversity may mask severe genetic erosion when declines are recent and rapid. In such situations, whole-genome sequencing may provide the best option for genetic risk assessment and targeted conservation actions.

genomics↗

bioRxiv2022

Sequence features do not drive karyotypic evolution: what are the missing correlates of genome evolution?

Genome rearrangements are prevalent across the tree of life and even within species. After two decades of research, various suggestions have been proposed to explain which features of the genome are associated with rearrangements and the breakpoints between rearranged regions. These include: recombination rate, GC content, repetitive DNA content, gene density, and markers of chromatin conformation. Here, we use a set of six aligned rodent genomes to identify regions that have not been rearranged and characterize the breakpoint regions where rearrangements have occurred. We found no strong support for any of the expected correlations between breakpoint regions and a variety of genomic features previously identified. These results call into question the utility and repeatability of identifying chromatin characteristics associated with rearranged regions of the genome and suggest that perhaps a different explanation is in order. We analyzed rates of karyotypic evolution in each of the six lineages and found that the Mongolian gerbil genome has had the most rearrangements. That gerbils exhibit very rapid sequence evolution at a number of key DNA repair genes suggests an alternative hypothesis for patterns of genome rearrangement: karyotypic evolution may be driven by variation at a few genes that control the repair pathway used to fix double-stranded DNA breaks. Such variation may explain the heterogeneity in the rates of karyotypic evolution across species. While currently only supported by circumstantial evidence, a systematic survey of this hypothesis is now warranted.

genomics↗

bioRxiv2021

Genetic assimilation of ancestral plasticity during parallel adaptation

Phenotypic plasticity in ancestral populations is hypothesised to facilitate adaptation, but evidence supporting its contribution is piecemeal and often contradictory. Further, whether ancestral plasticity increases the probability of parallel genetic and phenotypic adaptive changes has not been explored. The most general finding is that nearly all ancestral gene expression plasticity is reversed following adaptation, but this is usually examined transcriptome-wide rather than focused on the genes directly involved in adaptation. We investigated the contribution of ancestral plasticity to adaptive evolution of gene expression in two independently evolved lineages of zinc-tolerant Silene uniflora. We found that the general pattern of reversion is driven by the absence of a widespread stress response in zinc-adapted plants compared to ancestral, zinc-sensitive plants. Our experiments show that reinforcement of ancestral plasticity plays an influential role in the evolution of plasticity in derived populations and, surprisingly, one third of constitutive differences between ecotypes are the result of genetic assimilation of ancestral plasticity. Ancestral plasticity also increases the chance that genes are recruited repeatedly during adaptation. However, despite a high degree of convergence in gene expression levels between independently adapted lineages, genes with ancestral plasticity are as likely to have similar expression levels in adapted populations as genes without. Overall, these results demonstrate that ancestral plasticity does play an important role in adaptive parallel evolution, particularly via genetic assimilation across evolutionary replicates.

evolutionary biology↗

bioRxiv2021

Fauxcurrence: simulating multi-species occurrences for null models in species distribution modelling and biogeography

Defining appropriate null expectations for species distribution hypotheses is important because sampling bias and spatial autocorrelation can produce realistic, but ecologically meaningless, geographic patterns. Generating null species occurrences with similar spatial structure to observed data can help overcome these problems, but existing methods focus on single or pairs of species and do not incorporate between-species spatial structure that may occlude comparative biogeographic analyses. Here, we describe an algorithm for generating randomised species occurrence points that mimic the within- and between-species spatial structure of real datasets and implement it in a new R package - fauxcurrence. The algorithm can be implemented on any geographic domain for any number of species, limited only by computing power. To demonstrate its utility, we apply the algorithm to two common analysis-types: testing the fit of species distribution models (SDMs) and evaluating niche-overlap. The method works well on all tested datasets within reasonable timescales. We found that many SDMs, despite a good fit to the data, were not significantly better than null expectations and identified only two cases (out of a possible 32) of significantly higher niche divergence than expected by chance. The package is user-friendly, flexible and has many potential applications beyond those tested here, such as joint SDM evaluation and species co-occurrence analysis, spanning the areas of ecology, evolutionary biology and biogeography.

ecology↗

bioRxiv2020

The Demographic History of Micro-endemics: Have Rare Species Always Been Rare?

Extinction has increased as human activities impact ecosystems. Conservation assessments for the IUCN red list are a fundamental tool in aiding the prevention of further extinction, yet, relatively few species have been thoroughly assessed. To increase the efficiency of assessments, novel approaches are needed to highlight threatened species that are currently data deficient. Many Madagascan plant species currently have extremely narrow ranges, but this may not have always been the case. To assess this, we used high-throughput DNA sequencing for 2-5 individuals of each species - reflecting the paucity of samples available for rare species. We estimated effective population size (Ne) for each species and compared this to census population (Nc) sizes when known. In each case, Ne was an order of magnitude larger than Nc - a signature of rapid, recent population decline. We then estimated the demographic history of each species, tracking changes in Ne over time. Five out of ten species displayed significant population declines towards the present (68-90% decreases). Our results for palm trees indicate that it is possible to predict extinction risk, particularly in the most threatened species. We performed simulations to show that our approach has the power to detect population decline during the Anthropocene, but performs less well when less data is used. Similar declines to those in palms were observed in data deficient species or those assessed as of least concern. These analyses reveal that Madagascars narrow endemics were not always rare, having experienced rapid decline in their recent history. Our approach offers the opportunity to target species in need of conservation assessment with little prior information, particularly in regions where human modification of the environment has been rapid. SummaryCurrent IUCN conservation assessment methods are reliant on observed declines in species population and range sizes over the last one hundred years, but for the majority of species this information is not available. We used a population genetic approach to reveal historical demographic decline in the rare endemic flora of Madagascar. These results show that it is possible to predict extinction risk from demographic patterns inferred from genetic data and that destructive human influence is likely to have resulted in the very high frequency of narrow endemics present on the island. Our approach will act as an important tool for rapidly assessing the threatened status of poorly known species in need of further study and conservation, particularly for tropical flora and fauna.

evolutionary biology↗

bioRxiv2018

Trait evolution and historical biogeography shape assemblages of annual killifish

Reconstructions of evolutionary and historical biogeographic processes can improve our understanding of how species ssemblages developed and permit inference of ecological drivers affecting coexistence. We explore this approach in Austrolebias, a genus of annual fishes possessing a wide range of body sizes. Regional assemblages composed of different species with similar size distributions are found in four areas of eastern South America. Using phylogenetic trees, species distribution models and size data we show how trait evolution and historical biogeography have affected the composition of species assemblages. We extend age-range correlations to improve estimates of local historical biogeography. We find that size variation principally arose in a single area and infer that ecological interactions drove size divergence. This large-size lineage spread to two other areas. One of these assemblages was likely shaped by adaptation to a new environment, but this was not associated with additional size divergence. We found only weak evidence that environmental filtering has been important in the construction of the remaining assemblage with the smallest range of sizes. The repeated assemblage structures were the result of different evolutionary and historical processes. Our approach sheds light on how species assemblages were built when typical clustering approaches may fall short.

evolutionary biology↗

bioRxiv2018

Rapid, raw-read reference and identification (R4IDs): A flexible platform for rapid generic species ID using long-read sequencing technology.

The versatility of the current DNA sequencing platforms and the development of portable, nanopore sequencers means that it has never been easier to collect genetic data for unknown sample ID. DNA barcoding and meta-barcoding have become increasingly popular and barcode databases continue to grow at an impressive rate. However, the number of canonical genome assemblies (reference or draft) that are publically available is relatively tiny, hindering the more widespread use of genome scale DNA sequencing technology for accurate species identification and discovery. Here, we show that rapid raw-read reference datasets, or R4IDs for short, generated in a matter of hours on the Oxford Nanopore MinION, can bridge this gap and accelerate the generation of useable reference sequence data. By exploiting the long read length of this technology, shotgun genomic sequencing of a small portion of an organisms genome can act as a suitable reference database despite the low sequencing coverage. These R4IDs can then be used for accurate species identification with minimal amounts of re-sequencing effort (1000s of reads). We demonstrated the capabilities of this approach with six vascular plant species for which we created R4IDs in the laboratory and then re-sequenced, live at the Kew Science Festival 2016. We further validated our method using simulations to determine the broader applicability of the approach. Our data analysis pipeline has been made available as a Dockerised workflow for simple, scalable deployment for a range of uses.

bioinformatics↗

bioRxiv2017

Field-based species identification in eukaryotes using single molecule, real-time sequencing.

Advances in DNA sequencing and informatics have revolutionised biology over the past four decades, but technological limitations have left many applications unexplored1,2. Recently, portable, real-time, nanopore sequencing (RTnS) has become available. This offers opportunities to rapidly collect and analyse genomic data anywhere3-5. However, the generation of datasets from large, complex genomes has been constrained to laboratories6,7. The portability and long DNA sequences of RTnS offer great potential for field-based species identification, but the feasibility and accuracy of these technologies for this purpose have not been assessed. Here, we show that a field-based RTnS analysis of closely-related plant species (Arabidopsis spp.)8 has many advantages over laboratory-based high-throughput sequencing (HTS) methods for species level identification-by-sequencing and de novo phylogenomics. Samples were collected and sequenced in a single day by RTnS using a portable, \"al fresco\" laboratory. Our analyses demonstrate that correctly identifying unknown reads from matches to a reference database with RTnS reads enables rapid and confident species identification. Individually annotated RTnS reads can be used to infer the evolutionary relationships of A. thaliana. Furthermore, hybrid genome assembly with RTnS and HTS reads substantially improved upon a genome assembled from HTS reads alone. Field-based RTnS makes real-time, rapid specimen identification and genome wide analyses possible. These technological advances are set to revolutionise research in the biological sciences9 and have broad implications for conservation, taxonomy, border agencies and citizen science.

evolutionary biology↗