Drivers Of Traits Research Articles

Environmental and genetic drivers of physiological and functional traits in a key canopy species

The resilience of forests worldwide is challenged by climate change. Large-scale tree mortality and dieback events have been documented across continents in recent decades. The adaptive capacity of forests is important for predicting forest resistance and resilience to future climates yet remains largely unknown. We grew 12 populations of a widespread foundation tree species (Corymbia calophylla), originating from different temperature and rainfall regimes, in two common garden trials in Western Australia that had similar temperature but contrasting rainfall conditions. We quantified intraspecific trait variation at these two sites to estimate genetically determined trait variation with climate origin (genetic adaptation) and trait variation associated with environment (phenotypic plasticity). We aimed to determine the 1) contribution of genetic and environmental factors on growth, functional, and physiological trait variation; 2) coordination of leaf traits within the context of the leaf economic spectrum (LES) in variable rainfall conditions; and 3) role of local or regional climate adaptation influencing tree growth and water use efficiency. Growth and physiological traits were differentially expressed across populations and sites, highlighting the importance of genetic adaptation and phenotypic plasticity. Leaf traits reflected a more water conservative strategy with higher water use efficiency, high foliar nitrogen content, and low specific leaf area, as predicted by the LES, in trees at the dry site measured in autumn after the warm summer. Local adaptation was detected in growth and leaf water use efficiency traits at the regional climate, not the local population, scale. Plants from the cool region had greater performance than those from the warm region in most plant traits. Home-site rainfall was not a good predictor of trait expression. The capacity of C. calophylla to respond to low water availability through genetic adaptation and phenotypic plasticity may enable it to maintain optimal performance in drier conditions associated with climate change.

Climate and soil: Key Drivers of Plant Traits and Community Functional Differences in the Lakeshore Wetlands of Northern China

Climate and soil: Key Drivers of Plant Traits and Community Functional Differences in the Lakeshore Wetlands of Northern China

Novel ecological interactions alter physiological responses of range-extending tropical and local temperate fishes under ocean warming

Global warming facilitates species range-expansions, leading to novel biological interactions between local and range-expanding species. Little is still known of how such novel interactions modify the performance of interacting species or how these interactions might be altered under climate change. Here, we used an aquarium experiment to investigate the novel ecological interactions between a poleward range-extending coral reef damselfish (“tropical-vagrant”) and a local temperate species (“temperate-local”) collected from a climate warming hotspot in SE Australia. We measured the effect of novel interactions (isolated vs. paired fish species) on energy expenditure (activity levels, oxidative stress, and antioxidant responses), energy gain (feeding rates), and growth rates of both fish species under present-day (23 °C) and future ocean temperatures (26 °C). Short-term growth rates were faster in both species under novel interactions (paired species), regardless of elevated temperature. Compared to isolated species, activity level, feeding rate and oxidative stress level were also higher in the paired temperate fish but not in the paired tropical fish. The tropical fish showed an increased feeding rate and long-term growth under elevated temperature, irrespective of novel interactions. We conclude that novel ecological interactions under climate change can be an important driver of physiological traits in sympatric tropical and temperate fishes and can mediate critical physiological performance of fishes under ocean warming.

Morphological evolution of bird wings follows a mechanical sensitivity gradient determined by the aerodynamics of flapping flight

The physical principles that govern the function of biological structures also mediate their evolution, but the evolutionary drivers of morphological traits within complex structures can be difficult to predict. Here, we use morphological traits measured from 1096 3-dimensional bird wing scans from 178 species to test the interaction of two frameworks for relating morphology to evolution. We examine whether the evolutionary rate (σ2) and mode is dominated by the modular organization of the wing into handwing and armwing regions, and/or the relationship between trait morphology and functional output (i.e. mechanical sensitivity, driven here by flapping flight aerodynamics). Our results support discretization of the armwing and handwing as morphological modules, but morphological disparity and σ2 varied continuously with the mechanical sensitivity gradient and were not modular. Thus, mechanical sensitivity should be considered an independent and fundamental driver of evolutionary dynamics in biomechanical traits, distinct from morphological modularity.

Island area, isolation and climate effects upon flower traits in a megadiverse archipelago

AbstractAimFlower traits are critical to the mutualistic networks that underpin ecosystem function. However, the broad‐scale drivers of flower traits are unclear. Using the megadiverse islands of Malesia, we test three hypotheses: (1) Flower size, openness and colourfulness (i.e. the trend from white to colourful flowers) will decrease with increasing temperature, but not with increasing precipitation seasonality. (2) Flower size, openness and colourfulness will increase with island area, and decrease with isolation. (3) Models parameterised by climate, rather than non‐climatic island characteristics will have the greatest predictive capacity as climate affects both pollinator communities and energetic/physiological constraints upon flower traits.LocationFourteen Malesian islands.TaxonAngiosperms.MethodsWe applied Bayesian phylogenetic models of occurrence for >2500 species in 400 m elevation bands, across islands, as a function of flower trait interactions with either climatic variables or islands characteristics. We compare predictive capacity of models based on climate versus island characteristics using Leave One Out‐Cross Validation.ResultsAll six flower traits examined varied with at least temperature, precipitation seasonality, island area and isolation. Flowers are larger in cold environments. The lowland tropics are mostly inhabited by white flowered species. At cold high elevations, red and pink flowered species are more frequent whereas green and purple flowered species increase in the drought‐prone seasonally dry tropics. Flower openness declined with precipitation seasonality and increased with isolation. Models parameterised by climate performed best for perianth length, red and white flowers, whereas pink flowers and flower openness were better predicted using island characteristics.Main ConclusionsThere are relationships between flower traits and climatic gradients within Malesia. However, island characteristics have also left a legacy upon current flower trait distributions. These island biogeographical impacts are likely key for the eco‐evolutionary drivers of flower traits.

THU629 Cluster Analysis Identifies Distinct Subtypes Of PCOS

Abstract Disclosure: K. van der Ham: None. L.M. Moolhuijsen: None. K. Brewer: None. R. Sisk: None. Y.V. Louwers: None. J.A. Visser: None. A.E. Dunaif: None. J.S. Laven: None. Polycystic ovary syndrome (PCOS) is a common endocrine disorder in women of reproductive-age. The different criteria that are used to diagnose PCOS reflect the heterogeneity of the syndrome. However, PCOS diagnosed by NIH or Rotterdam criteria have a similar genetic architecture. Using Hierarchical Clustering (HC) in cohort of ∼900 NIH PCOS cases from European ancestry, we have previously identified discrete and stable PCOS clusters, which were designated “reproductive subtype” (high LH, FSH and SHBG) and “metabolic subtype” (high BMI, insulin and glucose); cases that did not belong to these clusters were designated “indeterminate subtype”. The subtypes appeared to capture biologically meaningful differences because assessment by a genome-wide association study indicated that they were characterized by distinct and novel genome-wide significant loci. In the current study, we tested the hypothesis that these subtypes would be present in an independent PCOS cohort diagnosed with Rotterdam criteria using the traits drivers (BMI, LH, FSH, DHEAS, SHBG, testosterone, fasting insulin and fasting glucose). We also compared two clustering methods, HC and K-means. We assessed whether the following additional traits not used for clustering differed between the subtypes thus identified: total follicle count (TFC), modified Ferriman-Gallwey score, and levels of anti-Müllerian hormone (AMH), estradiol, TSH, DHEA, cortisol, androstenedione, prolactin, LDL, HDL, triglyceride (TC) and cholesterol. European ancestry PCOS cases, n=2502, fulfilling Rotterdam criteria, aged 13-45 years, were included; n=1067 cases also fulfilled NIH criteria. In the Rotterdam cases, the reproductive subtype (n=450) had significantly (all P<0.001) higher TFC and levels of AMH and HDL compared to the metabolic (n=1067) and indeterminate (n=1026) subtypes. These findings suggest that clustering identifies a discrete reproductive subtype of cases with alterations in folliculogenesis, without using AMH and TFC to define the subtype. In contrast, the metabolic subtype had significantly (all P<0.001) higher TC and LDL levels compared to the other subtypes providing further evidence that this subtype identifies cases at higher cardiometabolic risk. The results were similar when the analysis was limited to NIH PCOS cases only. Comparing both clustering methods showed that there was consensus for 50% (metabolic) and 57% (reproductive) of PCOS cases. The cases in the non-consensus group showed a less pronounced metabolic and reproductive phenotype, both in the trait drivers and in the additional traits. Overall, our findings suggest that clustering algorithms capture etiologically distinct subtypes of PCOS diagnosed by both NIH and Rotterdam criteria. Further, our findings provide an example of the power of modern disease classification based on objective biologic differences rather than expert opinion. Presentation: Thursday, June 15, 2023

Discovering cellular programs of intrinsic and extrinsic drivers of metabolic traits using LipocyteProfiler

A primary obstacle in translating genetic associations with disease into therapeutic strategies is elucidating the cellular programs affected by genetic risk variants and effector genes. Here, we introduce LipocyteProfiler, a cardiometabolic-disease-oriented high-content image-based profiling tool that enables evaluation of thousands of morphological and cellular profiles that can be systematically linked to genes and genetic variants relevant to cardiometabolic disease. We show that LipocyteProfiler allows surveillance of diverse cellular programs by generating rich context- and process-specific cellular profiles across hepatocyte and adipocyte cell-state transitions. We use LipocyteProfiler to identify known and novel cellular mechanisms altered by polygenic risk of metabolic disease, including insulin resistance, fat distribution, and the polygenic contribution to lipodystrophy. LipocyteProfiler paves the way for large-scale forward and reverse deep phenotypic profiling in lipocytes and provides a framework for the unbiased identification of causal relationships between genetic variants and cellular programs relevant to human disease.

Abstract 3493: Drug targeting of KRAS accumulation on the cilium inhibits its stemness driving activity

Abstract Most RAS drug targeting strategies focus on KRAS, due to the high KRAS mutation frequency in cancer and its high expression level. Moreover, KRAS4B (hereafter KRAS) but not HRAS is a potent driver of stemness traits in cancer cells. Exactly how KRAS promotes stemness and how this activity can be targeted with drugs is not understood. Here we studied the subcellular localization of KRAS mutants to stemness mediating centriolar organelles and the effect of these mutants on the differentiation of mouse muscle C2C12 cells. This cell line contains a pool of ciliated stem/progenitor cells, which differentiate under low serum conditions, concomitant with a drop in RAS-MAPK activity. Intriguingly, expression of oncogenic KRAS retains the stem-like state, even under differentiating conditions. We hypothesized that KRAS localization at the primary cilium of C2C12 progenitor cells is propagated via the mother centriole to the mother centrosome, which is known to asymmetrically partition into the stemness retaining cell. Using confocal microscopy, we show that the trafficking chaperone PDE6D (or PDEdelta) facilitates trafficking of KRAS not only to the plasma membrane, but also to the primary cilium. Cellular BRET-interaction experiments in HEK cells demonstrate that decreasing the affinity between KRAS and PDE6D by the phosphomimetic S181D-mutation in KRAS, correlates with a reduced KRAS localization in the cilium of C2C12 cells. Likewise, treatment with Sildenafil, which increases the phosphorylation of Ser181 of KRAS, disrupts its binding to PDE6D. We then established a flow-cytometry based C2C12 cell differentiation assay to quantify accurately that mutations and pharmacological manipulations, which decrease ciliary localization of KRAS, indeed promote differentiation. These data lend a new rationale to PDE6D inhibition. By combining computational modelling and in vitro testing, we therefore developed a new, low nanomolar inhibitor, Deltaflexin-3 (structure will be disclosed), which targets the hydrophobic pocket of PDE6D. This compound is highly soluble and displays improved on-target activity as compared to previous PDE6D inhibitors, which is demonstrated by a panel of cellular BRET- and proliferation-assay data. Our results suggest that blocking of the ciliary localization of KRAS by synergistically combining PDE6D inhibitors and Sildenafil could specifically inhibit its stemness driving activity. Citation Format: Pelin Kaya, Rohan Chippalkatti, Elisabeth Schaffner-Reckinger, Bianca Parisi, Ganesh B. Manoharan, Yashar Rouzbahani, Christian Eggeling, Daniel Abankwa. Drug targeting of KRAS accumulation on the cilium inhibits its stemness driving activity [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3493.

To the north: eDNA tracing of the seasonal and spatial dynamics of fish assemblages along the world's largest water diversion project

Extensive water diversion projects that have been increasingly installed worldwide transport essential water resources as well as a large number of biota. However, studies of the dynamic processes of such transport have been limited. The South-to-North Water Diversion Project of China is the largest manmade water diversion system ever constructed. Here, in a year-long project, we used environmental DNA (eDNA) metabarcoding to assess fish biodiversity and assemblage composition along the Project's 1277-km main canal, while also investigating the temporal, spatial, and functional trait drivers of changes in the fish assemblages. Together, 45 fish taxa were detected, with substantial compositional variations between seasons. The number of detected species typically dropped upon entering the canal but remained relatively constant along the canal's length. Spatial variations in fish assemblages were generally dominated by the turnover component over nestedness, and a positive spatial autocorrelation of qualitative assemblage composition was detected within 80 km in all seasons. Furthermore, several functional traits, such as smaller body size, invertivorous diet, rheophilic living, and lithophilic and demersal spawning, were positive predictors of fish presence along the length of the canal and they may boost species chances of introduction to the recipient areas. Our results provide crucial information for ecological management of diversion projects and have key implications for modelling and predicting foreign species invasion through water transfers.

Predicting ecosystem productivity based on plant community traits.

With the rapid accumulation of plant trait data, major opportunities have arisen for the integration of these data into predicting ecosystem primary productivity across a range of spatial extents. Traditionally, traits have been used to explain physiological productivity at cell, organ, or plant scales, but scaling up to the ecosystem scale has remained challenging. Here, we show the need to combine measures of community-level traits and environmental factors to predict ecosystem productivity at landscape or biogeographic scales. We show how theory can extend the production ecology equation to enormous potential for integrating traits into ecological models that estimate productivity-related ecosystem functions across ecological scales and to anticipate the response of terrestrial ecosystems to global change.

Proteomics uncover EPHA2 as a potential novel therapeutic target in colorectal cancer cell lines with acquired cetuximab resistance

BackgroundIn metastatic colorectal cancer (mCRC), acquired resistance against anti-EGFR targeted monoclonal antibodies, such as cetuximab (CET), was shown to be frequently caused by activating alterations in the RAS genes KRAS or NRAS. To this day, no efficient follow-up treatment option has emerged to treat mCRC in such a setting of resistance.MethodsTo uncover potential targets for second-line targeted therapies, we used mass-spectrometric proteomics to shed light on kinome reprogramming in an established cellular model of acquired, KRAS-associated CET resistance.ResultsThis CET resistance was reflected by significant changes in the kinome, most of them individual to each cell line. Interestingly, all investigated resistant cell lines displayed upregulation of the Ephrin type-A receptor 2 (EPHA2), a well-known driver of traits of progression. Expectedly resistant cell lines displayed increased migration (p < 0.01) that was significantly reduced by targeting the EPHA2 signalling axis using RNA interference (RNAi) (p < 0.001), ephrin-A1 stimulation (p < 0.001), dasatinib (p < 0.01), or anti-EPHA2 antibody treatment (p < 0.001), identifying it as an actionable target in mCRC with acquired CET resistance.ConclusionThese results highlight EPHA2 and its role in mCRC with KRAS-gene mutated acquired CET resistance and support its use as a potential actionable target for the development of future precision medicine therapies.

The Role of Trait Mindfulness in Aggressive Driving Behavior

Aggressive driving behavior is regarded as a social dysfunction that poses a major risk to traffic safety. Previous research has indicated trait mindfulness as a protective factor for maladaptive thoughts and driver anger. The current study was designed to examine the mediating role of trait driver aggressiveness on the relationship between trait mindfulness and propensity for aggressive driving behavior. A sample of 122 drivers responded to a series of online questionnaires that assessed trait mindfulness, trait driver aggressiveness, and propensity for aggressive driving behavior. Results indicated that trait mindfulness was a significant predictor of trait driver aggressiveness. Similarly, trait mindfulness had also a moderating effect on the relationship between propensity for aggressive driving and trait driver aggressiveness. This indicated that those with higher trait mindfulness scores and lower trait driver aggressiveness scores were less likely to engage in aggressive driving behavior. Both theoretical and practical implications are discussed, and directions for future research are presented.

IpaQTL-atlas: an atlas of intronic polyadenylation quantitative trait loci across human tissues.

Functional interpretation of disease-associated non-coding variants remains a significant challenge in the post-GWAS era. Our recent study has identified 3'UTR alternative polyadenylation (APA) quantitative trait loci (3'aQTLs) and connects APA events with QTLs as a major driver of human traits and diseases. Besides 3'UTR, APA events can also occur in intron regions, and increasing evidence has connected intronic polyadenylation with disease risk. However, systematic investigation of the roles of intronic polyadenylation in human diseases remained challenging due to the lack of a comprehensive database across a variety of human tissues. Here, we developed ipaQTL-atlas (http://bioinfo.szbl.ac.cn/ipaQTL) as the first comprehensive portal for intronic polyadenylation. The ipaQTL-atlas is based on the analysis of 15 170 RNA-seq data from 838 individuals across 49 Genotype-Tissue Expression (GTEx v8) tissues and contains ∼0.98 million SNPs associated with intronic APA events. It provides an interface for ipaQTLs search, genome browser, boxplots, and data download, as well as the visualization of GWAS and ipaQTL colocalization results. ipaQTL-atlas provides a one-stop portal to access intronic polyadenylation information and could significantly advance the discovery of APA-associated disease susceptibility genes.

Macroclimatic and maternal effects on the evolution of reproductive traits in lizards.

Much of life‐history theory rests on fundamental assumptions about constraints on the acquisition and allocation of energy to growth and reproduction. In general, the allocation of energy to reproduction depends on maternal size, which in turn depends on environmental factors experienced throughout the life of the mother. Here, we used phylogenetic path analyses to evaluate competing hypotheses about the environmental and maternal drivers of reproductive traits in lizards. In doing so, we discovered that precipitation, rather than temperature, has shaped the evolution of the life history. Specifically, environments with greater rainfall have enabled the evolution of larger maternal size. In turn, these larger mothers produce larger clutches of larger offspring. However, annual precipitation has a negative direct effect on offspring size, despite the positive indirect effect mediated by maternal size. Possibly, the evolution of offspring size was driven by the need to conserve water in dry environments, because small organisms are particularly sensitive to water loss. Since we found that body size variation among lizards is related to a combination of climatic factors, mainly precipitation and perhaps primary production, our study challenges previous generalizations (e.g., temperature‐size rule and Bergmann's rule) and suggests alternative mechanisms underlying the evolution of body size.

Multiple drivers of large-scale lichen decline in boreal forest canopies.

Thin, hair‐like lichens (Alectoria, Bryoria, Usnea) form conspicuous epiphyte communities across the boreal biome. These poikilohydric organisms provide important ecosystem functions and are useful indicators of global change. We analyse how environmental drivers influence changes in occurrence and length of these lichens on Norway spruce (Picea abies) over 10 years in managed forests in Sweden using data from >6000 trees. Alectoria and Usnea showed strong declines in southern‐central regions, whereas Bryoria declined in northern regions. Overall, relative loss rates across the country ranged from 1.7% per year in Alectoria to 0.5% in Bryoria. These losses contrasted with increased length of Bryoria and Usnea in some regions. Occurrence trajectories (extinction, colonization, presence, absence) on remeasured trees correlated best with temperature, rain, nitrogen deposition, and stand age in multinomial logistic regression models. Our analysis strongly suggests that industrial forestry, in combination with nitrogen, is the main driver of lichen declines. Logging of forests with long continuity of tree cover, short rotation cycles, substrate limitation and low light in dense forests are harmful for lichens. Nitrogen deposition has decreased but is apparently still sufficiently high to prevent recovery. Warming correlated with occurrence trajectories of Alectoria and Bryoria, likely by altering hydration regimes and increasing respiration during autumn/winter. The large‐scale lichen decline on an important host has cascading effects on biodiversity and function of boreal forest canopies. Forest management must apply a broad spectrum of methods, including uneven‐aged continuous cover forestry and retention of large patches, to secure the ecosystem functions of these important canopy components under future climates. Our findings highlight interactions among drivers of lichen decline (forestry, nitrogen, climate), functional traits (dispersal, lichen colour, sensitivity to nitrogen, water storage), and population processes (extinction/colonization).

Multiple Arbuscular Mycorrhizal Fungal Consortia Enhance Yield and Fatty Acids of Medicago sativa: A Two-Year Field Study on Agronomic Traits and Tracing of Fungal Persistence.

Arbuscular mycorrhizal fungi are promoted as biofertilizers due to potential benefits in crop productivity, and macro- and microelement uptake. However, crop response to arbuscular mycorrhizal fungi (AMF) inoculation is context-dependent, and AMF diversity and field establishment and persistence of inoculants can greatly contribute to variation in outcomes. This study was designed to test the hypotheses that multiple and local AMF inoculants could enhance alfalfa yield and fatty acids (FA) compared to exotic isolates either single or in the mixture. We aimed also to verify the persistence of inoculated AMF, and which component of the AMF communities was the major driver of plant traits. Therefore, a field experiment of AMF inoculation of alfalfa (Medicago sativa L.) with three single foreign isolates, a mixture of the foreign isolates (FMix), and a highly diverse mixture of local AMF (LMix) was set up. We showed that AMF improved alfalfa yield (+ 68%), nutrient (+ 147% N content and + 182% P content in forage), and FA content (+ 105%). These positive effects persisted for at least 2 years post-inoculation and were associated with enhanced AMF abundance in roots. Consortia of AMF strains acted in synergy, and the mixture of foreign AMF isolates provided greater benefits compared to local consortia (+ 20% forage yield, + 36% forage N content, + 18% forage P content, + 20% total FA in forage). Foreign strains of Funneliformis mosseae and Rhizophagus irregularis persisted in the roots of alfalfa 2 years following inoculation, either as single inoculum or as a component of the mixture. Among inoculants, F. mosseae BEG12 and AZ225C and the FMix exerted a higher impact on the local AMF community compared with LMix and R. irregularis BEG141. Finally, the stimulation of the proliferation of a single-taxa (R. irregularis cluster1) induced by all inoculants was the main determinant of the host benefits. Crop productivity and quality as well as field persistence of inoculated AMF support the use of mixtures of foreign AMF. On the other hand, local mixtures showed a lower impact on native AMF. These results pave the way for extending the study on the effect of AMF mixtures for the production of high-quality forage for the animal diet.

Environmental and Genetic Drivers of Physiological and Functional Traits in a Key Canopy Species

Environmental and Genetic Drivers of Physiological and Functional Traits in a Key Canopy Species

Does Driver Impulsivity Mediates the Association of Narcissism and State or Trait Driver Anger?

Does Driver Impulsivity Mediates the Association of Narcissism and State or Trait Driver Anger?

Metacognition, rumination and road rage: An examination of driver anger progression and expression in Australia

Road rage is a serious issue impacting road safety on Australian roads. This study investigated the psychological antecedents involved in aggressive driver behaviours. Specifically, the study investigated the relationships between metacognitive beliefs, anger rumination, trait driver anger, and driver aggression; and examined the extent of aggressive behaviours in a sample of Australian drivers (N = 246). An inspection of cross-tabulations indicated that nearly all drivers engaged in verbal driver aggression (94%), approximately half of the drivers engaged in vehicle aggression (53%), and approximately a quarter of the drivers engaged in physical aggression (27%). Driver aggression was more commonly reported from males, open licensed, and middle-aged drivers. Structural path analysis indicated that there was a hierarchical series of relationships present, in that metacognitive beliefs influenced cognitive constructs such as anger rumination and constructive expression. Additionally, such factors were shown to more prominently influence trait driver anger, and the degree to which it was expressed. Bivariate correlations also demonstrated that the relationships carried forward to more specific dimensions of anger rumination and driver aggression styles. The findings of this study may assist to identify the origins of psychological mechanisms involved with anger progression and expression and inform potential interventions for aggressive driving behaviours.

Strong trait correlation and phylogenetic signal in North American ground beetle (Carabidae) morphology

AbstractFunctional traits mediate species' responses to, and roles within, their environment and are constrained by evolutionary history. While we have a strong understanding of trait evolution for macro‐taxa such as birds and mammals, our understanding of invertebrates is comparatively limited. Here, we address this gap in North American beetles with a sample of ground beetles (Carabidae), leveraging a large‐scale collection and digitization effort by the National Ecological Observatory Network (NEON). For 154 ground beetle species, we measured seven morphological traits, which we placed into a recently developed effect–response framework that characterizes traits by how they predict species' effects on their ecosystems or responses to environmental stressors. We then used cytochrome oxidase 1 sequences from the same specimens to generate a phylogeny and tested the evolutionary tempo and mode of the traits. We found strong phylogenetic signal in, and correlations among, ground beetle morphological traits. These results indicate that, for these species, beetle body shape trait evolution is constrained, and phylogenetic inertia is a stronger driver of beetle traits than (recent) environmental responses. Strong correlations among effect and response traits suggest that future environmental drivers are likely to affect both ecological composition and functioning in these beetles.