Morphological Data Sets Research Articles

Phylogenetic position of the subfamily Symphrasinae (Insecta: Neuroptera), its intergeneric relationships and evolution of the raptorial condition within Mantispoidea.

The superfamily Mantispoidea (Insecta: Neuroptera) includes the families Berothidae, Rhachiberothidae and Mantispidae. Among these taxa, the last two are collectively known as Raptorial Mantispoidea due to the presence of grasping forelegs for predatory habits. The Mantispidae classically included the subfamilies Symphrasinae, Drepanicinae, Calomantispinae and Mantispinae, yet recent research challenged this classification scheme as well as the monophyly of this family resulting in Symphrasinae being transferred to Rhachiberothidae. The phylogenetic position of the subfamily Symphrasinae within Mantispoidea is here inferred based on total evidence analysis combining three genes (COI , 16S and 18S ) and 72 morphological characters scored from living representatives of all Mantispidae subfamilies (12 genera), the 3 genera of Symphrasinae, and Rhachiberothinae (1 genus). Representatives of Berothidae (four genera) and Hemerobiidae (one genus) were used as outgroup taxa. Results of the total evidence analysis were compared with parsimony and maximum likelihood analyses of the morphological and molecular datasets of the COI , 16S and 18S genes. The resultant phylogeny under total evidence recovered Rhachiberothidae as a monophyletic group with strong support in which Symphrasinae was found as sister to Rhachiberothinae. The three genera contained in Symphrasinae, i.e. Anchieta , Plega and Trichoscelia were each recovered as monophyletic in the parsimony analysis, with Anchieta as sister to Trichoscelia + Plega . The family Mantispidae was also recovered as monophyletic and sister to Rhachiberothidae, with Mantispinae as sister to Calomantispinae + Drepanicinae. Evolution of the raptorial condition in Mantispoidea is discussed based on the performed analyses. The morphology and the structure of the raptorial foreleg and the prothorax (i.e. the raptorial system) support the close relationship of Symphrasinae with Rhachiberothinae rather than to other Mantispidae subfamilies which possess a distinctive and well-differentiated raptorial apparatus. The Rhachiberothidae (including Symphrasinae) are distinguished by the presence of a foretarsal Stitz organ. Furthermore, a sit-and-wait predatory strategy is hypothesised for this taxon, whereas the Mantispidae are likely sophisticated active-ambushing predators.

Enhanced Photothermal/Immunotherapy under NIR Irradiation Based on Hollow Mesoporous Responsive Nanomotor.

In this research, a hollow mesoporous responsive nanomotor was proposed for enhanced photothermal/immunotherapy under near infrared (NIR) irradiation. HA-HMCuS/AS as the nanomotor composed of hollow mesoporous copper sulfide (HMCuS) loaded with artesunate (AS) and hyaluronic acid (HA) was utilized to induce the polarization of tumor-associated macrophages. At the beginning, ResNet18 deep learning model was utilized to predict the Brunauer-Emmett-Teller (BET) surface area of HMCuS based on the morphology data set which was obtained from our conventional research. And then, we predicted that the as-synthesized HMCuS has a large surface area, which is beneficial for drug loading. Then, upon near-infrared light irradiation, HA-HMCuS/AS exhibited significant cytotoxicity against breast cancer cells and induced tumor thermal ablation. Additionally, HA-HMCuS/AS was found to inhibit the expression of TREM2 at the tumor site, promoting the transition of M2-type macrophages to M1-type macrophages in tumor tissue and enhancing the inflammatory response at the tumor site. In addition, photothermal therapy enabled tumor cells to release tumor-associated antigen and injury-related molecular patterns, promote the maturation and metastasis of dendritic cells, and further activate the body's specific antitumor immune response. By combining photothermal therapy with immunotherapy, the HA-HMCuS nanomotor demonstrated even more robust tumor ablation and suppression effects.

Biogeochemical Traits of a High Latitude South Pacific Ocean Calcareous Nannoplankton Community During the Oligocene.

Marine phytoplankton community composition influences the production and export of biomass and inorganic minerals (such as calcite), contributing to core marine ecosystem processes that drive biogeochemical cycles and support marine life. Here we use morphological and assemblage data sets within a size-trait model to investigate the mix of cellular biogeochemical traits (size, biomass, calcite) present in high latitude calcareous nannoplankton communities through the Oligocene (ca. 34-26Ma) to better understand the biogeochemical consequences of past climate variability on this major calcifying phytoplankton group. Our record from IODP Site U1553 in the southwest Pacific reveals that nannoplankton communities were most size diverse during the earliest Oligocene, which we propose is linked to evidence for increased nutrient availability in the region across the Eocene-Oligocene transition. In addition to driving changes in community size structure, early Oligocene extinctions of the largest Reticulofenestra species combined with an increasing dominance of heavily calcified, small-medium-sized cells through time also led to an overall increase in community inorganic to organic carbon ratios (PIC:POC) throughout the Oligocene. Crucially, genus-level cellular PIC:POC diversity meant that abundance was not always the best indicator of which species were the major contributors to community biomass and calcite. As shifts in plankton size structure and calcareous nannoplankton PIC:POC have previously been highlighted as important in biological carbon pump dynamics, our results suggest that changes in community composition that are coupled to changes in community biogeochemical trait diversity have the potential to significantly alter the role of calcareous nannoplankton in marine biogeochemical processes.

Bayesian tip-dated timeline for diversification and major biogeographic events in Muroidea (Rodentia), the largest mammalian radiation

BackgroundExtinct organisms provide vital information about the time of origination and biogeography of extant groups. The development of phylogenetic methods to study evolutionary processes through time has revolutionized the field of evolutionary biology and led to an unprecedented expansion of our knowledge of the tree of life. Recent developments applying Bayesian approaches, using fossil taxa as tips to be included alongside their living relatives, have revitalized the use of morphological data in evolutionary tree inferences. Eumuroida rodents represent the largest group of mammals including more than a quarter of all extant mammals and have a rich fossil record spanning the last ~ 45 million years. Despite this wealth of data, our current understanding of the classification, major biogeographic patterns, and divergence times for this group comes from molecular phylogenies that use fossils only as a source of node calibrations. However, node calibrations impose several constraints on tree topology and must necessarily make a priori assumptions about the placement of fossil taxa without testing their placement in the tree.ResultsWe present the first morphological dataset with extensive fossil sampling for Muroidea. By applying Bayesian morphological clocks with tip dating and process-based biogeographic models, we provide a novel hypothesis for muroid relationships and revised divergence times for the clade that incorporates uncertainty in the placement of all fossil species. Even under strong violation of the clock model, we found strong congruence between results for divergence times, providing a robust timeline for muroid diversification. This new timeline was used for biogeographic analyses, which revealed a dynamic scenario mostly explained by dispersal events between and within the Palearctic and North African regions.ConclusionsOur results provide important insights into the evolution of Muroidea rodents and clarify the evolutionary pathways of their main lineages. We exploited the advantage of tip dating Bayesian approaches in morphology-based datasets and provided a classification of the largest superfamily of mammals resulting from robust phylogenetic inference, inferring the biogeographical history, diversification, and divergence times of its major lineages.

Local temperature impact of urban heat mitigation strategy based on WRF integrating urban canopy parameters and local climate zones

Urbanization has led to significant alterations in surface properties, contributing to surging urban heatwave events. The detrimental impact of urban heatwaves on public health highlights the urgency for proactive evaluations of diverse heat mitigation strategies. This study assesses the impacts of cool roof (CR), green roof (GR) and rooftop photovoltaic panel (PV) strategies on urban air temperatures within Guangzhou and Foshan agglomeration, utilizing the Weather Research and Forecasting with Urban Canopy Model (WRF-UCM). A comparative analysis of heat exchanges is conducted between two types of urban morphology datasets: local climate zone maps with categorized urban canopy parameters (LCZ-UCPs) and gridded urban canopy parameters from real building databases (gridded-UCPs). The results indicate that the discrepancies in the average temperature between LCZ-UCP and gridded-UCP is almost negligible, whereas increase to 0.39 °C and 0.54 °C for the daily maximum and minimum temperature, respectively. CR provides the most substantial cooling at an average of 0.44 °C, followed by GR and PV. Scenarios with the two types of morphology datasets reveal varying mitigation efficiencies. CRs with LCZ-UCPs show more pronounced temperature reductions, whereas GRs and PVs with gridded-UCPs in central urban regions demonstrate stronger cooling effects. CRs and PVs cool temperature by decreasing sensible heat flux, whereas GR is largely influenced by enhanced evapotranspiration especially with grass plantation. These findings elucidate the differing efficiencies of the three mitigation strategies and highlight the representation discrepancies in climatic simulations brought by the two urban canopy datasets. This emphasizes the importance of accurate urban morphological datasets in evaluating mitigation strategies in WRF-UCM, thus providing practicable insights for urban planning and climate policy-making.

The Core of the Matter-Importance of Identification Method and Biological Replication for Benthic Marine Monitoring.

Benthic macrofauna are important and widely used biological indicators of marine ecosystems as they have limited mobility and therefore integrate the effects of local environmental stressors over time. Recently, environmental DNA (eDNA) analysis has provided a potentially more resource-efficient approach for benthic biomonitoring than traditional morphology-based methods. Several studies have compared eDNA with morphology-based monitoring, but few have compared the two approaches using the exact same sediment cores. In addition, the meiofauna and pelagic organisms obtained as 'bycatch' using eDNA have largely been disregarded from comparisons. Here, we address these shortcomings through comparative invertebrate analyses of six sediment sample replicates from each of four stations in Denmark, using eDNA metabarcoding and morphological identification. Our results revealed large variation between the six replicates for both methods and little overlap in taxon compositions between methods. While the morphological dataset was dominated by molluscs and annelids, the eDNA dataset was dominated by arthropods and annelids. Using community composition data, we found that sampling stations could be distinguished both with eDNA and morphology. Finally, we inferred expected total richness from extrapolated accumulation curves of detected taxa from each method. This indicated that eDNA metabarcoding requires less replication than morphology for maximum coverage of diversity to be reached. However, both methods required high levels of replication, and our results on taxonomic composition add to the evidence that morphological and eDNA-based methods should preferably be used as complimentary tools for marine bioassessment.

Research on morphology deformation prediction and compensation of fusion lightweight manipulator

This paper proposes a fusion lightweight manipulator (FLM) morphology deformation prediction and compensation algorithm for the precise maintenance of the fusion reactor. Firstly, the FLM links are flexibly modified using nylon material, and the total load deformation error of FLM is close to 30 mm through static analysis. The FLM fiber grating sensing system is designed to measure the deformation error of the FLM prototype. Then, the FLM morphology deformation prediction control system framework is constructed. Through the decoupling calculation and virtual-real fusion of FLM deformation data collected by sensors, the predictive control of FLM morphology deformation is realized. To compensate for the positional error of the FLM, the deformation prediction neural network (DPNN) model of the FLM is proposed. The joint error parameters of FLM can be obtained by training the morphological deformation dataset collected by the FLM sensing system through the coupling of multilayer perceptron, transformer, and multi-attention mechanism. Finally, the flexible FLM experimental platform and data collection system are established, and the experimental results show that the predicted position errors of the flexible FLM end after compensation are less than 0.5 mm, which proves the effectiveness of the morphological deformation prediction control and compensation algorithms.

A revision of recent taxonomic changes to the eyelash palm pitviper, Bothriechis schlegelii (Serpentes, Viperidae)

The taxonomy of the Bothriechis schlegelii species group has recently been expanded, nearly doubling the number of recognized species within this genus. However, the validity of these new species, defined primarily by mitochondrial DNA and without a robust evaluation of nuclear DNA and morphological data, warrants critical reassessment. This study re-examines the integrative data used in the initial analysis and employs additional visualizations of the genetic and morphological datasets. The results suggest that the genetic differences previously interpreted as species boundaries may instead reflect clinal variation, not independent lineages. Furthermore, DELINEATE species delimitation analysis and morphological assessments challenge the distinction of the proposed taxa. The findings indicate that only three species in the B. schlegelii group should be maintained as valid (B. nigroadspersus, B. schlegelii, and B. supraciliaris), while most taxa proposed by Arteaga et al. (2024) should be considered junior synonyms, or at most, as subspecies. This has significant implications for conservation priorities and resource allocation. In highlighting the need for a cautious and thorough approach to species delimitation, this study contributes to the broader discussion of taxonomic practices, the issue of taxonomic inflation, and their impact on biodiversity conservation.

Extracting Meso- and Microscale Patterns of Urban Morphology Evolution: Evidence from Binhai New Area of Tianjin, China

Understanding and recognizing urban morphology evolution is a crucial issue in urban planning, with extensive research dedicated to detecting the extent of urban expansion. However, as urban development patterns shift from incremental expansion to stock optimization, related studies on meso- and microscale urban morphology evolution face limitations such as insufficient spatiotemporal data granularity, poor generalizability, and inability to extract internal evolution patterns. This study employs deep learning and meso-/microscopic urban form indicators to develop a generic framework for extracting and describing the evolution of meso-/microscale urban morphology. The framework includes three steps: constructing specific urban morphology datasets, semantic segmentation to extract urban form, and mapping urban form evolution using the Tile-based Urban Change (TUC) classification system. We applied this framework to conduct a combined quantitative and qualitative analysis of the internal urban morphology evolution of Binhai New Area from 2009 to 2022, with detailed visualizations of morphology evolution at each time point. The study identified that different locations in the area exhibited seven distinct evolution patterns: edge areal expansion, preservation of developmental potential, industrial land development pattern, rapid comprehensive demolition and construction pattern, linear development pattern, mixed evolution, and stable evolution. The results indicate that in the stock development phase, high-density urban areas exhibit multidimensional development characteristics by region, period, and function. Our work demonstrates the potential of using deep learning and grid classification indicators to study meso-/microscale urban morphology evolution, providing a scalable, cost-effective, quantitative, and portable approach for historical urban morphology understanding.

Morphological and Autofluorescence Dataset for ‘Touch’ Epidermal Cell Populations Collected with Imaging Flow Cytometry

Background New methods for processing ‘touch’ or trace biological samples is an ongoing priority for forensic caseworking laboratories. These samples often contain materials from multiple individuals in varying quantities and/or degrees of degradation. Rapid characterization of cellular material before DNA profiling can allow laboratories to screen samples for the presence of multiple contributors or the amount of biological material present. Methods This dataset contains autofluorescence and morphological profiles of epidermal cell populations analyzed using Imaging Flow Cytometry. The epidermal samples were aged for varying amounts of time prior to analysis. Multiple samples from the same individual were also collected to assess profile variations within and across the contributors. Conclusions This data set may be used to investigate variability in epidermal cell populations from different individuals and potential forensic signatures contained within the non-genetic components that comprise touch biological evidence.

Towards an open and integrated cyberinfrastructure for river morphology research in the big data era

The objective of this paper is to present the initial illustration of a cyberinfrastructure named the RIver MORPHology Information System (RIMORPHIS) that addresses the current limitations related to river morphology data and tools. RIMORPHIS is supported by a data model for storing river morphology data. A new specification for data and semantics on river morphology datasets has been developed to support the web-based platform for discovering and visualization of river morphology data. Several geoprocessing tools are developed that enable scientific analysis and practical studies, including the coordinate transformation, cross-section generation and bathymetry mesh generation. Our vision for RIMORPHIS is to create a self-sustained community platform with tools to support scientific discoveries on river morphology and to enable multidisciplinary research for riverine environments. To accomplish this vision, we created a community to gather input and build partnerships. The RIMORPHIS cyberinfrastructure addresses the community needs related to data access, processing and visualization. The current implementation of RIMORPHIS is scalable for new data and tools.

Subgenome asymmetry of gibberellins-related genes plays important roles in regulating rapid growth of bamboos

Rapid growth is an innovative trait of woody bamboos that has been widely studied. However, the genetic basis and evolution of this trait are poorly understood. Taking advantage of genomic resources of 11 representative bamboos at different ploidal levels, we integrated morphological, physiological, and transcriptomic datasets to investigate rapid growth. In particular, these bamboos include two large-sized and a small-sized woody species, compared with a diploid herbaceous species. Our results showed that gibberellin A1 was important for the rapid shoot growth of the world's largest bamboo, Dendrocalamus sinicus, and indicated that two gibberellins (GAs)-related genes, KAO and SLRL1, were key to the rapid shoot growth and culm size in woody bamboos. The expression of GAs-related genes exhibited significant subgenome asymmetry with subgenomes A and C demonstrating expression dominance in the large-sized woody bamboos while the generally submissive subgenomes B and D dominating in the small-sized species. The subgenome asymmetry was found to be correlated with the subgenome-specific gene structure, particularly UTRs and core promoters. Our study provides novel insights into the molecular mechanism and evolution of rapid shoot growth following allopolyploidization in woody bamboos, particularly via subgenome asymmetry. These findings are helpful for understanding of how polyploidization in general and subgenome asymmetry in particular contributed to the origin of innovative traits in plants.

Toward a Functional Trait Approach to Bee Ecology.

Functional traits offer an informative framework for understanding ecosystem functioning and responses to global change. Trait data are abundant in the literature, yet many communities of practice lack data standards for trait measurement and data sharing, hindering data reuse that could reveal large-scale patterns in functional and evolutionary ecology. Here, we present a roadmap toward community data standards for trait-based research on bees, including a protocol for effective trait data sharing. We also review the state of bee functional trait research, highlighting common measurement approaches and knowledge gaps. These studies were overwhelmingly situated in agroecosystems and focused predominantly on morphological and behavioral traits, while phenological and physiological traits were infrequently measured. Studies investigating climate change effects were also uncommon. Along with our review, we present an aggregated morphological trait dataset compiled from our focal studies, representing more than 1600 bee species globally and serving as a template for standardized bee trait data presentation. We highlight obstacles to harmonizing this trait data, especially ambiguity in trait classes, methodology, and sampling metadata. Our framework for trait data sharing leverages common data standards to resolve these ambiguities and ensure interoperability between datasets, promoting accessibility and usability of trait data to advance bee ecological research.

The Palaeozoic assembly of the holocephalan body plan far preceded post-Cretaceous radiations into the ocean depths.

Among cartilaginous fishes, Holocephali represents the species-depauperate, morphologically conservative sister to sharks, rays and skates and the last survivor of a once far greater Palaeozoic and Mesozoic diversity. Currently, holocephalan diversity is concentrated in deep-sea species, suggesting that this lineage might contain relictual diversity that now persists in the ocean depths. However, the relationships of living holocephalans to their extinct relatives and the timescale of their diversification remain unclear. Here, we reconstruct the evolutionary history of holocephalans using comprehensive morphological and DNA sequence datasets. Our results suggest that crown holocephalans entered and diversified in deep (below 1000 m) ocean waters after the Cretaceous-Palaeogene mass extinction, contrasting with the hypothesis that this ecosystem has acted as a refugium of ancient cartilaginous fishes. These invasions were decoupled from the evolution of key features of the holocephalan body plan, including crushing dentition, a single frontal clasper, and holostylic jaw suspension, during the Palaeozoic Era. However, these invasions considerably postdated the appearance of extant holocephalan families 150 million years ago during a major period of biotic turnover in oceans termed the Mesozoic Marine Revolution. These results clarify the origins of living holocephalans as the recent diversification of a single surviving clade among numerous Palaeozoic lineages.

A host driven parasitoid syndrome: Convergent evolution of multiple traits associated with woodboring hosts in Ichneumonidae (Hymenoptera, Ichneumonoidea).

The evolution of convergent phenotypes is of major interest in biology because of their omnipresence and ability to inform the study of evolutionary novelty and constraint. Convergent phenotypes can be combinations of traits that evolve concertedly, called syndromes, and these can be shaped by a common environmental pressure. Parasitoid wasps which use a wide variety of arthropod hosts have also repeatedly and convergently switched host use across their evolutionary history. They thus represent a natural laboratory for the evolution of trait syndromes that are associated with parasitism of specific hosts and host substrates. In this study, we tested the evolution of co-evolving characters in the highly diverse family Ichneumonidae associated with ovipositing in a specific and well-defined substrate: wood. Using a newly constructed phylogeny and an existing morphological dataset, we identified six traits correlated with the wood-boring lifestyle that demonstrate convergent evolution. At least one trait, the presence of teeth on the ovipositor, typically preceded the evolution of other traits and possibly the switch to parasitism of wood-boring hosts. For each trait, we provide a historical review of their associations with wood-boring parasitoids, reevaluate the function of some characters, and suggest future coding improvements. Overall, we demonstrate the convergent evolution of multiple traits associated with parasitism of woodboring hosts and propose a syndrome in a hyper diverse lineage of parasitoid wasps.

Morphological evolution and niche conservatism across a continental radiation of Australian blindsnakes.

Understanding how continental radiations are assembled across space and time is a major question in macroevolutionary biology. Here, we use a phylogenomic-scale phylogeny, a comprehensive morphological dataset, and environmental niche models to evaluate the relationship between trait and environment and assess the role of geography and niche conservatism in the continental radiation of Australian blindsnakes. The Australo-Papuan blindsnake genus, Anilios, comprises 47 described species of which 46 are endemic to and distributed across various biomes on continental Australia. Although we expected blindsnakes to be morphologically conserved, we found considerable interspecific variation in all morphological traits we measured. Absolute body length is negatively correlated with mean annual temperature, and body shape ratios are negatively correlated with soil compactness. We found that morphologically similar species are likely not a result of ecological convergence. Age-overlap correlation tests revealed niche similarity decreased with the relative age of speciation events. We also found low geographical overlap across the phylogeny, suggesting that speciation is largely allopatric with low rates of secondary range overlap. Our study offers insights into the eco-morphological evolution of blindsnakes and the potential for phylogenetic niche conservatism to influence continental scale radiations.

Invisible dynamics: exploring the genetic diversity of peacock bass in Brazil

In Brazil, the introduction of non-native species into freshwater environments, such as peacock bass (Cichla spp.), was driven by aquaculture and sport fishing. These Amazonian fish possess phenotypic plasticity and resilience that facilitate their invasion and establishment in new habitats. Due to the taxonomic complexity of cichlids, studies on intraspecific variation are essential to mitigate the impacts of biological invasions. This study aimed to analyze the genetic diversity of peacock bass, assessing how invasive populations have diversified over time and across different regions in Brazil. Samples were collected from different invasive populations in Maranhão, São Paulo, Paraná, and Goiás. DNA was extracted and the 16S and COX1 genes were amplified. Ninety-seven specimens of the genus Cichla Schneider, 1801 were identified as Cichla monoculus Agassiz, 1831 (n=12); Cichla kelberi Kullander and Ferreira, 2006 (n=75); and Cichla piquiti (Kullander and Ferreira, 2006) (n=10). Sixteen 16S haplotypes (445bp) were identified, with haplotype diversity and nucleotide diversity values of Hd: 0.830 and Pi: 0.03777, respectively. The results showed proximity between the invasive populations from Maranhão and São Paulo, with haplotype sharing among Parque Nacional dos Lençóis Maranhenses, Baixada Maranhense, and Ilha Solteira. This highlights the fragility of species delimitation and definitions within the group, based solely on morphological data. By evaluating the set of morphological and genetic data, we found significant intraspecific variations, despite expecting population homogeneity due to the founder effect and bottleneck commonly observed in invasive populations. This underscores the adaptive potential of these cichlids.

A high-throughput statistical homogenization technique to convert realistic microstructures into idealized periodic unit cells

Abstract Metal alloys frequently contain distributions of second-phase particles that deleteriously affect the material
behavior by acting as sites for void nucleation. These distributions are often extremely complex and
processing can induce high levels of anisotropy. The particle length-scale precludes high-fidelity microstructure
modeling in macroscale simulations, so computational homogenization methods are often employed.
These, however, involve simplifying assumptions to make the problem tractable and many rely on periodic
microstructures. Here we propose a methodology to bridge the gap between realistic microstructures
composed of anisotropic, spatially varying second-phase void morphologies and an idealized periodic microstructure
with roughly equivalent mechanical response. We create a high-throughput, parametric study
to investigate 96 unique bridging methods. We apply our proposed solution to rolled AZ31B magnesium
alloy, for which we have a rich dataset of microstructure morphology and mechanical behavior. Our methodology
converts a μ-CT scan of the realistic microstructure to idealized periodic unit cell microstructures that
are specific to the loading orientation. We recreate the unit cells for each parameter set in a commercial finite
element software, subject them to macroscopic uniaxial loading conditions, and compare our results to the
datasets for the various loading orientations. We find that certain combinations of our parameters capture
the overall stress-strain response, including anisotropy effects with some degree of success. The effect of
different parameter options are explored in detail and we find that excluding certain particle populations
from the analysis can give improved results.

Evolutionary bursts drive morphological novelty in the world’s largest skinks

Animal phenotypes evolve and diverge as a result of differing selective pressures and drift. These processes leave unique signatures in patterns of trait evolution, impacting the tempo and mode of morphological macroevolution. While there is a broad understanding of the history of some organismal traits (e.g., body size), there is little consensus about the evolutionary mode of most others. This includes the relative contribution of prolonged (Darwinian gradualist) and episodic (Simpsonian jump) changes toward the evolution of novel morphologies. Here, we use new exon-capture and linear morphological datasets to investigate the tempo and mode of morphological evolution in Australo-Melanesian Tiliquini skinks. We generate a well-supported time-calibrated phylogenomic tree from ∼400 nuclear markers for more than 100 specimens, including undescribed diversity, and provide unprecedented resolution of the rapid Miocene diversification of these lizards. By collecting a morphological dataset that encompasses the lizard body plan (19 traits across the head, body, limb, and tail), we are able to identify that most traits evolve conservatively, but infrequent evolutionary bursts result in morphological novelty. These phenotypic discontinuities occur via rapid rate increases along individual branches, inconsistent with both gradualistic and punctuated equilibrial evolutionary modes. Instead, this "punctuated gradualism" has resulted in the rapid evolution of blue-tongued giants and armored dwarves in the ∼20 million years since colonizing Australia. These results outline the evolutionary pathway toward new morphologies and highlight the heterogeneity of evolutionary tempo and mode, even within individual traits.

Ant mimicry in Australian plant bugs: a new genus (Heteroptera: Miridae: Austromirini: Carenotus gen. nov.), eight new species, myrmecomorphic traits, host plants and distribution.

The Australian plant bug tribe Austromirini consists of ant-mimetic taxa which are poorly known, with no information of their phylogenetic relationships and ant-mimetic traits. In this study, we examined nearly 1000 ingroup specimens and developed a comprehensive morphological dataset comprising 37 characters, which was analysed both weighted and unweighted, using 'Tree analysis using New Technology' (TNT ) software. A single minimal length phylogenetic tree was found, comprising a monophyletic group of ant-mimetic taxa, that included Myrmecoroides rufescens , Myrmecoridea sp., Kirkaldyella spp. and eight species of a new genus, Carenotus gen. nov. The myrmecomorphic traits of Carenotus and allied ant-mimetic taxa are documented and analysed phylogenetically, in conjunction with genitalic characters. Carenotus is defined by the myrmecomorphic colour patterning of the abdominal venter, whereas the ingroup species relationships are supported by genitalic characters alone. Carenotus is described as new with eight included species as follows: C. arltunga sp. nov., C. louthensis sp. nov., C. luritja sp. nov., C. pullabooka sp. nov., C. scaevolaphilus sp. nov., C. schwartzi sp. nov., C. tanami sp. nov. and C. yuendumu sp. nov. Host plant associations are also documented, ranging from host plant specificity and genus-group preferences to host plant generalism. The distribution of Carenotus species is documented with reference to phytogeographic subregions, with all species being semi-arid and arid dwelling. The male and female genitalia of Kirkaldyella pilosa and K. rugosa are described and illustrated, for comparative and phylogenetic purposes. This research expands our knowledge on the plant bug tribe Austromirini and has broader implications for myrmecomorphic research in the suborder Heteroptera. ZooBank: urn:lsid:zoobank.org:pub:2FF9BE23-38A6-42B4-8488-74F216D8237F.