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Reconstructing the history and biological consequences of a plant invasion on the Galapagos islands

The introduction of non-native species into new habitats is one of the foremost risks to global biodiversity. Here, we evaluate a recent invasion of wild tomato (Solanum pimpinellifolium) onto the Galapagos islands from a population genomic perspective, using a large panel of novel collections from the archipelago as well as historical accessions from mainland Ecuador and Peru. We infer a recent invasion of S. pimpinellifolium on the islands, largely the result of a single event from central Ecuador which, despite its recency, has rapidly spread onto several islands in the Galapagos. By reconstructing patterns of local ancestry throughout the genomes of invasive plants, we uncover evidence for recent hybridization and introgression between S. pimpinellifolium and the closely related endemic species Solanum cheesmaniae. Two large introgressed regions overlap with known fruit color loci involved in carotenoid biosynthesis. Instead of red fruits, admixed individuals with endemic haplotypes at these loci have orange fruit colors that are typically characteristic of the endemic species. We therefore infer that introgression explains the observed trait convergence. Moreover, we infer roles for two independent loci in driving this pattern, and a likely history of selection favoring the repeated phenotypic transition from red to orange fruits. Together, our data reconstruct a complex history of invasion, expansion, and gene flow among wild tomatoes on the Galapagos islands. These findings provide critical data on the evolutionary importance of hybridization during colonization and its role in influencing conservation outcomes. Significance StatementThe isolation and unique diversity of the Galapagos Islands provide numerous natural experiments that have enriched our understanding of evolutionary biology. Here we use population genomic sequencing to reconstruct the timing, path, and consequences of a biological invasion by wild tomato onto the Galapagos. We infer that invasive populations originated from a recent human-mediated migration event from central Ecuador. Our data also indicate that invasive populations are hybridizing with endemic populations, and that this has led to some invasive individuals adopting both fruit color genes and the fruit color characteristic of the endemic island species. Our results demonstrate how hybridization can shape patterns of trait evolution over very short time scales, and characterize genetic factors underlying invasive success.

evolutionary biology↗

Drift on holey landscapes as a dominant evolutionary process

An organisms phenotype has been shaped by evolution but the specific processes have to be indirectly inferred for most species. For example, correlations among traits imply the historical action of correlated selection and, more generally, the expression and distribution of traits is expected to be reflective of the adaptive landscapes that have shaped a population. However, our expectations about how quantitative traits--like most behaviors, physiological processes, and life-history traits--should be distributed under different evolutionary processes is not clear. Here we show that genetic variation in quantitative traits is not distributed as would be expected under dominant evolutionary models. Instead, we found that genetic variation in quantitative traits across 6 phyla and 60 species (including both Plantae and Animalia) is consistent with evolution across high dimensional "holey landscapes". This suggests that the leading conceptualizations and modeling of the evolution of trait integration fail to capture how phenotypes are shaped and that traits are integrated in a manner contrary to predictions of dominant evolutionary theory. Our results demonstrate that our understanding of how evolution has shaped phenotypes remains incomplete and these results provide a starting point for reassessing the relevance of existing evolutionary models. Significance StatementWe found that empirical estimations of how quantitative genetic variation is distributed do not correspond to typical Gaussian representations of fitness landscapes. These Gaussian landscapes underpin major areas of evolutionary biology and how selection is estimated in natural populations. Rather than being consistent with evolution on Gaussian landscapes, empirical estimates of genetic variation are, instead, consistent with evolution on high-dimensional "holey" landscapes. These landscapes represent situations where specific combinations of trait values are either viable or not and populations randomly drift among the viable combinations. This finding suggests that we have substantially misunderstood how selection actually shapes populations and thus how evolution typically proceeds.

evolutionary biology↗

A method for identifying spatially divergent selection in structured populations.

Species occupy diverse, heterogeneous environments, which expose populations to spatially varied selective pressures. Populations in different environments can diverge due to local adaptation. However, neutral evolution can also drive population divergence. Thus, testing for local adaptation requires a neutral baseline for population differentiation. The classical QST -FST comparison was developed for this purpose. Yet, QST -FST frequently fails to account for the complexities of population structure because the theory underlying this comparison assumes that all subpopulations are equally related, resulting in inflated false positive rates in metapopulations that deviate from the island model. To address this limitation we use estimates of between- and within-population relatedness to model population structure. Using those relatedness matrices, we infer the between- and within-population ancestral additive genetic variances under a mixed-effects model. Under neutrality, these inferred variances are expected to be equal. We propose here a test to detect selection based on the comparison of these two estimates of the ancestral variance and we compare its performance with earlier solutions. We find our method is well calibrated across various population structures and has high power to detect adaptive divergence. Author summaryPopulations of the same species often face different environmental pressures, driving them to adapt locally. However, even in the absence of adaptation, subpopulations can diverge due to random genetic drift and limited migration. Distinguishing between adaptive evolution and random divergence is a central challenge in evolutionary biology. Traditional methods, such as QST -FST comparison, assume equal relatedness among subpopulations--a simplification that rarely holds in complex real-world scenarios, leading to flawed conclusions. To overcome this limitation, we developed a novel method that incorporates genetic relatedness among subpopulations, leveraging quantitative genetic theory to estimate ancestral additive genetic variances. Our approach provides a powerful tool for testing local adaptation, reliably distinguishing adaptive divergence from drift across a variety of population structures.

evolutionary biology↗

The evolution of coercive policing in genetically mixed groups: the case of plasmid copy number control

Policing is a widespread mechanism regulating cooperation in both human and animal social groups. Policing can promote the evolution and maintenance of cooperation among non-relatives by tying the reproductive success of individuals to the efficiency and success of the group. In this paper, we investigate the evolution of reproductive policing using a multi-scale computational model inspired by the copy number control system of conjugative bacterial plasmids. Our results show that the repression of competition through policing can evolve across a very broad range of migration (plasmid conjugation) rates, improving system-level performance and bringing efficiency gains to the group beyond those achievable by pure self-restraint. Reproductive policing acts to increase genetic relatedness by reducing variation in group size which, in turn, reduces the heterogeneity of the plasmid population. When among-group migration is high, coercive policing strategies are favoured, characterized by high levels of policing coupled with relatively lower obedience. Coercive policing strategies preferentially limit the reproduction of rival lineages while, at the same time, maintaining effective collective reproductive control.\n\nAuthor SummaryThe emergence and maintenance of cooperation is a topic of great importance in evolutionary biology. The evolution of cooperation has been explained in the context of kin selection when there is sufficient genetic relatedness among interacting individuals. When there is insufficient relatedness, the presence of alternative mechanisms, such as mutual policing, can promote the evolution and maintenance of cooperation by tying the reproductive success of individual to the efficiency and success of the group. In this paper, we investigate the evolution of reproductive policing using an agent-based computational model inspired by a simple and elegant biological example: replication control among conjugative plasmids, a class of molecular symbionts of bacterial hosts. Our results show that the repression of competition through policing evolves and improves plasmid group performance beyond levels achievable by self-restraint, across a very broad range of migration rates. Under conditions of high migration (frequent conjugation), we observe the evolution of coercive policing strategies that limit the reproduction of rival lineages by investing disproportionately in policing relative to their obedience to the policing trait.

Evolutionary Biology↗

G matrix stability of clinally diverging populations of an annual weed.

How phenotypic and genetic divergence among populations is influenced by the genetic architecture of those traits, and how microevolutionary changes in turn affect the within-population patterns of genetic variation, are of major interest to evolutionary biology. Work on Ipomoea hederacea, an annual vine, has found genetic clines in the means of a suite of ecologically important traits, including flowering time, growth rate, seed mass, and corolla width. Here we investigate the genetic (co)variances of these clinally varying traits in two northern range-edge and two central populations of Ipomoea hederacea to evaluate the influence of the genetic architecture on divergence across the range. We find 1) limited evidence for clear differentiation between Northern and Southern populations in the structure of G, suggesting overall stability of G across the range despite mean trait divergence and 2) that the axes of greatest variation (gmax) were unaligned with the axis of greatest multivariate divergence. Together these results indicate the role of the quantitative genetic architecture in constraining evolutionary response and divergence among populations across the geographic range.

evolutionary biology↗

Fitness-dependent recombination can be evolutionarily advantageous in diploids: a deterministic mutation-selection balance model

Recombinations omnipresence in nature is one of the most intriguing problems in evolutionary biology. The question of why recombination exhibits certain general features is no less interesting than that of why it exists at all. One such feature is recombinations fitness dependence (FD). The so far developed population-genetics models have focused on the evolution of FD recombination mainly in haploids, although the empirical evidence for this phenomenon comes mostly from diploids. Using numerical analysis of modifier models for infinite panmictic populations, we show here that FD recombination can be evolutionarily advantageous in diploids subjected to purifying selection. This advantage is associated with benefits from the differential rate of disruption of lower- vs higher-fitness genotypes, that can be manifested in systems with at least three selected loci. We also show that in systems with linked modifier, an additional contribution to the evolutionary advantage of FD recombination may come from fitness-dependence of the intensity of modifier linkage to the selected system, although the contribution of the last effect vanishes with tighter linkage within the selected system. We also show that in systems with three selected loci, FD recombination may give rise to negative crossover interference, which may be beneficial by itself. Yet, the role of such FD-induced crossover interference in the evolutionary advantage of FD recombination is minor. Remarkably, FD recombination was often favored in situations where any constant non-zero recombination was rejected, implying a relaxation of the rather strict constraints on major parameters (e.g., selection intensity and epistasis) required for the evolutionary advantage of non-zero recombination formulated by classical models.

evolutionary biology↗

Enhancing Evolutionary Timelines: The Impact of Stratigraphic Range Information on Phylogenetic Inference

Coherent phylogenetic analyses of molecular and fossil datasets have deepened our understanding of evolutionary biology. A core model facilitating such coherent analyses is the fossilised birth-death (FBD) model which directly incorporates fossils within phylogenetic trees. However, a limitation of the FBD model is that it cannot assign multiple fossil occurrences of the same species, limiting our ability to accurately represent age information for species which have been sampled repeatedly. To address this gap, the Stratigraphic Ranges Fossilized Birth-Death (SRFBD) model has recently been introduced. This model can account for sampled strati-graphic ranges and integrate over occurrences within the range, enabling us to include more complete fossil age information within the inference. Here, building upon this mathematical work, we develop a computational method making the model accessible to the community, for more accurate total-evidence inference of dated phylogenetic trees and evolutionary parameters. In particular, we integrate the SRFBD model into BEAST2, facilitating the use of a diverse array of genomic substitution models and the inclusion of both morphological and molecular data when inferring phylogenies. We present a thorough validation of the SRFBD implementation against simulated data. We then demonstrate the differences in posterior parameter estimates and phylogenies when applying FBD and SRFBD models to two example datasets, the Spheniscidae (penguins) and the Canidae (dogs). In both examples, the SRFBD model produces older divergence times, lower diversification and turnover rates, and considerably higher sampling proportions compared to FBD model.

evolutionary biology↗

Ancient dolphin genomes reveal rapid repeated adaptation to coastal waters

Parallel evolution provides among the strongest evidence of the role of natural selection in shaping adaptation to the local environment. Yet, the chronology, mode and tempo of the process of parallel evolution remains broadly debated and discussed in the field of evolutionary biology. In this study, we harness the temporal resolution of paleogenomics to understand the tempo and independence of parallel coastal ecotype adaptation in common bottlenose dolphins (Tursiops truncatus). For this, we generated whole genome resequencing data from subfossil dolphins (8,610-5,626 years BP) originating from around the formation time of new coastal habitat and compared them with data from contemporary populations. Genomic data revealed a shift in genetic affinity, with the oldest ancient sample being closer to the pelagic populations, while the younger samples had intermediate ancestry that showed greater affinity with the local contemporary coastal populations. We found coastal-associated genotypes in the genome of our highest coverage ancient sample, SP1060, providing rare evidence of rapid adaptation from standing genetic variation. Lastly, using admixture graph analyses, we found a reticulate evolutionary history between pelagic and coastal populations. Ancestral gene flow from coastal populations was the probable source of standing genetic variation present in the pelagic populations that enabled rapid adaptation to newly emerged coastal habitat. The genetic response to past climatic warming provides an understanding of how bottlenose dolphins will respond to ongoing directional climate change and shifting coastlines.

evolutionary biology↗

Divergent reference genomes compromise the reconstruction of demographic histories, selection scans, and population genetic summary statistics

Characterizing genetic variation in natural populations is vital to evolutionary biology, however many non-model species lack genomic resources. Here, we demonstrate that reference bias significantly affects population genomic analyses by mapping whole genome sequence data from gray foxes (Urocyon cinereoargenteus) to a conspecific reference and two heterospecific canid genomes (dog and Arctic fox). Mapping to the conspecific genome improved read pairing by [~]5%, detected 26-32% more SNPs, and 33-35% more singletons. Nucleotide diversity estimates increased over 30%, FST increased from 0.189 to 0.197, and effective population size estimates were 30-60% higher with the conspecific reference. Recombination rates varied by up to 3-fold at chromosome ends with heterospecific references. Importantly, FST outlier detection differed markedly, with heterospecific genomes identifying twice as many unique outlier windows. These findings highlight the impact of reference genome choice and the importance of conspecific genomic resources for accurate evolutionary inference. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=198 SRC="FIGDIR/small/625554v2_ufig1.gif" ALT="Figure 1"> View larger version (65K): org.highwire.dtl.DTLVardef@1d717adorg.highwire.dtl.DTLVardef@537c85org.highwire.dtl.DTLVardef@1142d10org.highwire.dtl.DTLVardef@19a9f06_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIA species-specific reference genome improves read mapping and variant detection C_LIO_LIReference bias underestimates genetic diversity and differentiation C_LIO_LIDivergent reference genomes distort demographic histories and recombination landscapes C_LIO_LIUnique FST outliers are detected across references, affecting functional interpretations C_LI

evolutionary biology↗

What does mitogenomics tell us about the evolutionary history of the Drosophila buzzatii cluster (repleta group)

The Drosophila repleta group is an array of more than 100 cactophilic species endemic to the \"New World\". The acquisition of the ability to utilize decaying cactus tissues as breeding and feeding sites is a key aspect that allowed the successful diversification of the repleta group in the American deserts. Within this group, the Drosophila buzzatii cluster is a South American clade of seven cactophilic closely related species in different stages of divergence, a feature that makes it a valuable model system for evolutionary research. However, even though substantial effort has been devoted to elucidating the phylogenetic relationships among members of the D. buzzatii cluster, the issue is still controversial. In effect, molecular phylogenetic studies performed to date generated ambiguous results since tree topologies depend on the kind of molecular marker employed. Curiously, even though mitochondrial DNA has become a popular marker in evolutionary biology and population genetics, none of the more than twenty Drosophila mitogenomes assembled so far belongs to this cluster. In this work we report the assembly of six complete mitogenomes of five species: D. antonietae, D. borborema, D. buzzatii, D. seriema and two strains of D. koepferae, with the aim to revisit the phylogenetic relationships and divergence times by means of a mitogenomic approach. The recovered topology using complete mitogenomes gives support to the hypothesis of the monophyly of that the D. buzzatii cluster and shows two main clades, one including D. buzzatii and D. koepferae (both strains) and the other the remaining species. These results are in agreement with previous reports based on a few mitochondrial and/or nuclear genes but in conflict with the results of a recent large-scale nuclear phylogeny, suggesting that nuclear and mitochondrial genomes depict different evolutionary histories.

evolutionary biology↗

Preserving microsatellites? Conservation genetics of the giant Galapagos tortoise.

This preprint has been reviewed and recommended by Peer Community In Evolutionary Biology (http://dx.doi.org/10.24072/pci.evolbiol.100031).\n\nConservation policy in the giant Galapagos tortoise, an iconic endangered animal, has been assisted by genetic markers for [~]15 years: a dozen loci have been used to delineate thirteen (sub)species, between which hybridization is prevented. Here, comparative reanalysis of a previously published NGS data set reveals a conflict with traditional markers. Genetic diversity and population substructure in the giant Galapagos tortoise are found to be particularly low, questioning the genetic relevance of current conservation practices. Further examination of giant Galapagos tortoise population genomics is critically needed.

evolutionary biology↗

Diffeomorphic Independent Contrasts for Ancestral Reconstruction of Shapes

AO_SCPLOWBSTRACTC_SCPLOWAncestral reconstruction is a fundamental challenge in evolutionary biology, requiring methods that can capture complex morphological changes while accounting for phylogenetic relationships. Current approaches are based on linear assumptions that often oversimplify the spatial relationships between anatomical features and fail to account for landmark correlations within shapes. Here, we introduce a novel method that combines the ability of Large Deformation Diffeomorphic Metric Mapping (LDDMM) to model smooth, invertible transformations between shapes while preserving the relationships between landmarks with Felsensteins Independent Contrasts (IC) to iteratively reconstruct ancestral shapes along the branches of a phylogenetic tree. We call this method Diffeomorphic Independent Contrasts for Ancestral Reconstruction of Shapes (DICAROS). We validate DICAROS against two existing methods: (1) Linear predictors using Ordinary Least Squares and (2) Ancestral character estimation using maximum likelihood under Brownian Motion and apply DICAROS to a dataset of swallowtail butterfly species (Family Papilonidae, Order Lepiodetra) to reconstruct the ancestral shape and visualize evolutionary trajectories in a phylomorphospace from the contrasts. We conclude that DICAROS outperforms the existing methods in terms of accuracy and provides a more accurate reconstruction of the ancestral shape for non-symmetric phylogenetic trees. With DICAROS we show a transition between un-tailed and tailed papilinodae species while also illustrating how images of modern species would look under the DICAROS ancestral reconstruction

evolutionary biology↗

Flight feathers evolve fastest near the tip of the wing

Form-function relationships are foundational to evolutionary biology, but we are only beginning to understand the mechanisms that link biomechanical function to morphological evolution. In bird wings, the pace of morphological evolution follows a gradient of aerodynamic force production along the wing, with the fastest rates experienced at the wingtip. We examined how this gradient has manifested in the evolution of the individual flight feathers that comprise the wing surface. Specifically, we studied whether the flight feathers show a pattern of allometric scaling with respect to avian body size, and if the allometric pattern varies along the wing. We also asked whether the pace of evolution of the primary flight feathers follows the same gradient pattern as the overall wing morphology, and if there is modularity within the feather series. We measured the lengths of each of the primary flight feathers from 509 wings representing 514 bird species and calculated morphological disparity and evolutionary rate for each feather in the primary sequence. We found that evolutionary rate and disparity increase significantly toward the wingtip. We also found evidence for modularity within the feather sequence, but we were unable to positively delineate those modules. Our study provides further evidence that the mechanical sensitivity of morphological traits predicts their evolution, with highly sensitive features biased toward higher rates, and that it scales across multiple levels of anatomical organization.

evolutionary biology↗

A targeted subgenomic approach for phylogenomics based on microfluidic PCR and high throughput sequencing

Advances in high-throughput sequencing (HTS) have allowed researchers to obtain large amounts of biological sequence information at speeds and costs unimaginable only a decade ago. Phylogenetics, and the study of evolution in general, is quickly migrating towards using HTS to generate larger and more complex molecular datasets. In this paper, we present a method that utilizes microfluidic PCR and HTS to generate large amounts of sequence data suitable for phylogenetic analyses. The approach uses a Fluidigm microfluidic PCR array and two sets of PCR primers to simultaneously amplify 48 target regions across 48 samples, incorporating sample-specific barcodes and HTS adapters (2,304 unique amplicons per microfluidic array). The final product is a pooled set of amplicons ready to be sequenced, and thus, there is no need to construct separate, costly genomic libraries for each sample. Further, we present a bioinformatics pipeline to process the raw HTS reads to either generate consensus sequences (with or without ambiguities) for every locus in every sample or--more importantly--recover the separate alleles from heterozygous target regions in each sample. This is important because it adds allelic information that is well suited for coalescent-based phylogenetic analyses that are becoming very common in conservation and evolutionary biology. To test our subgenomic method and bioinformatics pipeline, we sequenced 576 samples across 96 target regions belonging to the South American clade of the genus Bartsia L. in the plant family Orobanchaceae. After sequencing cleanup and alignment, the experiment resulted in [~]25,300bp across 486 samples for a set of 48 primer pairs targeting the plastome, and [~]13,500bp for 363 samples for a set of primers targeting regions in the nuclear genome. Finally, we constructed a combined concatenated matrix from all 96 primer combinations, resulting in a combined aligned length of [~]40,500bp for 349 samples.

Evolutionary Biology↗

Less, but more: new insights from appendicularians on chordate Fgf evolution and the divergence of tunicate lifestyles.

The impact of gene loss on the divergence of taxa and the generation of evolutionary innovations is a fundamental aspect of Evolutionary Biology that remains unclear. Here, using the evolution of the Fibroblast Growth Factors (FGFs) in appendicularians as a case study, we investigate how gene losses have influenced the evolution of chordates, especially the divergence among tunicates. Our work reveals an unprecedented case of massive losses of all Fgf gene subfamilies, except for the Fgf9/16/20 and Fgf11/12/13/14, which in turn suffered two bursts of gene duplications. Phylogenetic inferences and genomic analyses of gene synteny conservation, gene architecture, alternative splicing and protein 3D-structure have allowed us to reconstruct the history of appendicularian Fgf genes in the context of chordate evolution, providing compelling evidence supporting the paracrine secreting functions and the intracellular functions of the Fgf9/16/20 and Fgf11/12/13/14 subfamilies, respectively. Exhaustive analysis of developmental Fgf expression in Oikopleura dioica as a model for appendicularians reveals a paradigmatic case of what could be referred as "less, but more", providing a conceptual evolutionary framework characterized by four associated evolutionary patterns: conservation of ancestral Fgf expression domains; function shuffling between paralogs upon gene loss; innovation of new expression domains after the bursts of Fgf duplications; and the extinction of Fgf functions linked to gene losses. The findings of this work allow us to formulate novel hypotheses about the potential impact of losses and duplications of Fgf genes on the transition from an ancestral ascidian-like biphasic lifestyle to a fully free-living style of appendicularians. These hypotheses include the massive co-option of Fgf genes for the patterning of the oikoblast responsible of the house architecture, and for the development of the tail fin; the recruitment of Fgf11/12/13/14 genes into the evolution of a new mouth, and their role modulating neuronal excitability; the evolutionary innovation of an "anterior tail" FGF signaling mesodermal source upon the loss of retinoic acid signaling; and the potential link between the loss of Fgf7/10/22 and Fgf8/17/18 and the loss of drastic metamorphosis, mesenchymal cells and lack of tail absorption in appendicularians, in contrast to ascidians.

evolutionary biology↗

Reciprocal sign epistasis and sign epistasis may not be found in multi-peaked landscapes

Fitness landscapes provide a rigorous mathematical framework for analyzing evolutionary dynamics, including the study of epistasis, the main obstacle to predicting phenotype from genotype. In 2011, Poelwijk et al. formulated a foundational theorem stating that in any multi-peaked fitness landscape, "at least two mutations exhibit reciprocal sign epistasis" (Poelwijk et al., J. Theor. Biol., 272:141). The proof relied on the implicit assumption that neutral mutations are absent, commonly accepted in theoretical studies in evolutionary biology. In this study, we extend Poelwijk et al.s analysis by incorporating genotypes with equal fitness, specifically, accounting for neutral mutations. We demonstrate that when neutral mutations are considered, conventional pairwise reciprocal sign epistasis (RSE) may be entirely absent from a multi-peaked landscape. Instead, RSE is guaranteed only when considering "distant" RSE defined through composite mutations, wherein groups of mutations are treated collectively across all their possible combinations. Applying these concepts to empirical fitness landscapes faces a practical limitation: phenotypic measurements contain experimental noise, making mutational effects statistically indistinguishable from zero. Under such conditions, statistically significant detection of RSE in multi-peaked landscapes may be impossible even when composite mutations are considered. Theoretically, our findings imply that in the presence of neutral mutations, compensatory mutations in a multi-peaked fitness landscape need not be adjacent; rather, compensation can occur following one or more neutral steps along an evolutionary path. Practically, in real-world scenarios where fitness measurements contain uncertainty, there may be a fundamental technical limitation to detecting RSE in a statistically significant manner within multi-peaked landscapes.

evolutionary biology↗

Divergent sperm traits in Carabidae ground beetles (Insecta: Coleoptera)

Sperm exhibit marked morphological diversity, and investigations into sperm diversity can further the understanding of many areas of evolutionary biology. In this study, using light microscopy, sperm morphology was examined in 39 species of Carabidae from eight subfamilies, including five subfamilies in which sperm morphology has not previously been examined. In all but one of the subfamilies, the subfamily members shared the same type of sperm: single sperm were observed in Cicindelinae, Nebriinae, and Trechinae; sperm conjugates, in which numerous sperm adhere together, were observed in Elaphrinae, Patrobinae, and Brachinae; and both single sperm and sperm conjugates were observed in Broscinae. In the remaining subfamily, Harpalinae, most species formed sperm conjugates, but some species formed single sperm. Some noteworthy sperm were also observed: the shortest single sperm in the order Coleoptera was found; multiflagellated sperm were observed, which had previously been reported from only one species in the class Insecta; and size variation of sperm conjugates, which may represent size dimorphism, was observed. Based on the results of this and previous studies, the evolutionary pattern of sperm traits and the phylogenetic utility of sperm morphologies in Carabidae are discussed.

evolutionary biology↗

Directional variation in evolution: consequences for the fitness landscape metaphor

The concept of a fitness landscape, which describes the relation between genotype (or phenotype) and fitness as a surface on which the population climbs uphill towards local peaks, is a central conceptual tool in evolutionary biology. Inherent in this metaphor is the assumption that the distance between any two points can be defined in the same way as for Euclidean space. However, many of the processes which generate genetic variation, such as gene duplication and lateral gene transfer, are not symmetric by nature, but occur more readily in one direction than the other. This asymmetry is also found in phenotypes, for reasons associated with the genotype-phenotype map and developmental constraints. This article provides an overview of of these processes and suggest how existing methods can be used for incorporating these asymmetric processes when visualising fitness landscapes.

Evolutionary Biology↗