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Modeling the nonlinear interactions between flow, sediment, and vegetation is essential for improving our understanding and prediction of river system dynamics. Using simple numerical models, we simulate the key flow‐sediment‐vegetation interaction where the disturbance is intrinsically generated by the presence of vegetation. In this case, biomass growth modifies the flow field, induces bed scour, and thus potentially causes vegetation uprooting when erosion exceeds root depth. Our results show that this nonlinear feedback produces deterministic chaos under a wide range of conditions, with complex aperiodic dynamics generated by a period‐doubling route to chaos. Moreover, our results suggest relatively small values of Lyapunov time, spanning 2–4 growth‐flood cycles, which significantly restrict the predictability of riverbed evolution. Although further spatial and temporal processes may add complexity to the system, these results call for the use of ensemble methods and associated uncertainty estimates in ecomorphodynamic models. Plain Language Summary: Simple models that mimic the interplay between river dynamics and vegetation show that changes in the shape of riverbeds can be unpredictable. Our research suggests that we can make skillful predictions on time scales of the order of a few decades for many typical rivers, but we cannot accurately predict what riverbeds will look like in the long term. This has important implications for how we manage and restore rivers. It means that we need to run multiple numerical simulations to generate different scenarios, similar to the methods used in weather forecasting, to more accurately represent the uncertainty in our predictions. The chaotic behavior we found is not unique to rivers; it may be important in other systems where the interaction of flow, bed, and vegetation is key to how they change over time. Key Points: Coevolution of riverbed and vegetation, mediated by intrinisic biogeomorphic feedbacks, exhibits nonlinear dynamics and chaosFor chaos to be possible, the erosion during a flood must be comparable to the root depthThe time scale on which the riverbed/vegetation evolution becomes unpredictable is short, ranging between 2 and 4 growth‐flood periods [ABSTRACT FROM AUTHOR]

The intricate interplay between predators and prey has long fascinated ecologists, with bats and their diverse prey offering insight into co‐evolutionary dynamics. While bats have evolved sophisticated strategies for prey capture, they also face predation pressure. Among their predators, spiders stand out for their diversity of predatory tactics, ranging from hunting assaults and web ensnarement to the deployment of venom. Yet, bat predation records by spiders are mostly from tropical regions, and cases remain notably scarce in temperate regions. Here, we report four new incidences of bat predation and mortality by spiders and their webs in Europe. Our observations include detailed photograph and video documentation of the first record of a spider capturing and consuming a bat pup in Spain, as well as accounts of bats entangled in spider webs on a building and inside bat boxes in the United Kingdom. These findings shed light on understudied predator–prey dynamics, offering valuable insights into spider predation on bats in European ecosystems. Our study emphasises the importance of continued research to improve our understanding of ecological interactions between these elusive and primarily nocturnal taxa. [ABSTRACT FROM AUTHOR]

Müllerian mimicry was proposed to be an example of a coevolved mutualism promoted by population isolation in glacial refugia. This, however, has not been well supported in butterfly models. Here, we use genomic data to test this theory while examining the population genetics behind mimetic diversification in a pair of co-mimetic bumble bees, Bombus breviceps Smith and Bombus trifasciatus Smith. In both lineages, populations were structured by geography but not as much by color pattern, suggesting sharing of color alleles across regions of restricted gene flow and formation of mimicry complexes in the absence of genetic differentiation. Demographic analyses showed mismatches between historical effective population size changes and glacial cycles, and niche modeling revealed only mild habitat retraction during glaciation. Moreover, mimetic subpopulations of the same color form in the two lineages only in some cases exhibit similar population history and genetic divergence. Therefore, the current study supports a more complex history in this comimicry than a simple refugium-coevolution model. [ABSTRACT FROM AUTHOR]

This paper addresses the essential but tricky project of indoor area lighting graph, underscoring its importance in reaching energy efficiency, aesthetic attraction, and useful illumination. traditional lights design methods regularly fall short in adaptability and optimization, main to suboptimal illumination and electricity inefficiency. To triumph over these limitations, we suggest a unique approach employing a variable granularity co-evolutionary set of rules for indoor area lighting plan diagram. Our method initiates with a mathematical modeling of the indoor space, setting more than one optimization targets like lighting fixtures efficiency, cost-effectiveness, and aesthetic issues. The core of our method lies within the integration of a variable granularity method with a co-evolutionary set of rules. This amalgamation enables dynamic granularity modifications based on evolutionary progress, enhancing the search efficacy throughout multiple goals. Next steps include actual-time environmental tracking and comments integration, permitting adaptive lighting fixtures diagram modifications. Experimental results reveal the superiority of our approach over conventional techniques, showcasing huge upgrades in lighting fixtures best and energy intake. The proposed technique's adaptability and efficiency mark a widespread advancement in wise lighting fixtures diagram. [ABSTRACT FROM AUTHOR]

Oomycete protists share phenotypic similarities with fungi, including the ability to cause plant diseases, but branch in a distant region of the tree of life. It has been suggested that multiple horizontal gene transfers (HGTs) from fungi-to-oomycetes contributed to the evolution of plant-pathogenic traits. These HGTs are predicted to include secreted proteins that degrade plant cell walls, a barrier to pathogen invasion and a rich source of carbohydrates. Using a combination of phylogenomics and functional assays, we investigate the diversification of a horizontally transferred xyloglucanase gene family in the model oomycete species Phytophthora sojae. Our analyses detect 11 xyloglucanase paralogs retained in P. sojae. Using heterologous expression in yeast, we show consistent evidence that eight of these paralogs have xyloglucanase function, including variants with distinct protein characteristics, such as a long-disordered C-terminal extension that can increase xyloglucanase activity. The functional variants analyzed subtend a phylogenetic node close to the fungi-to-oomycete transfer, suggesting the horizontally transferred gene was a bona fide xyloglucanase. Expression of three xyloglucanase paralogs in Nicotiana benthamiana triggers high-reactive oxygen species (ROS) generation, while others inhibit ROS responses to bacterial immunogens, demonstrating that the paralogs differentially stimulate pattern-triggered immunity. Mass spectrometry of detectable enzymatic products demonstrates that some paralogs catalyze the production of variant breakdown profiles, suggesting that secretion of variant xyloglucanases increases efficiency of xyloglucan breakdown as well as diversifying the damage-associated molecular patterns released. We suggest that this pattern of neofunctionalization and the variant host responses represent an aspect of the Red Queen host-pathogen coevolutionary dynamic. [ABSTRACT FROM AUTHOR]

Background: Exploration of adaptive evolutionary changes at the genetic level in vaginal microbial communities during different stages of cervical cancer remains limited. This study aimed to elucidate the mutational profile of the vaginal microbiota throughout the progression of cervical disease and subsequently establish diagnostic models. Methods: This study utilized a metagenomic dataset consisting of 151 subjects classified into four categories: invasive cervical cancer (CC) (n = 42), cervical intraepithelial neoplasia (CIN) (n = 43), HPV-infected (HPVi) patients without cervical lesions (n = 34), and healthy controls (n = 32). The analysis focused on changes in microbiome abundance and extracted information on genetic variation. Consequently, comprehensive multimodal microbial signatures associated with CC, encompassing taxonomic alterations, mutation signatures, and enriched metabolic functional pathways, were identified. Diagnostic models for predicting CC were established considering gene characteristics based on single nucleotide variants (SNVs). Results: In this study, we screened and analyzed the abundances of 18 key microbial strains during CC progression. Additionally, 71,6358 non-redundant mutations were identified, predominantly consisting of SNVs that were further annotated into 25,773 genes. Altered abundances of SNVs and mutation types were observed across the four groups. Specifically, there were 9847 SNVs in the HPV-infected group and 14,892 in the CC group. Furthermore, two distinct mutation signatures corresponding to the benign and malignant groups were identified. The enriched metabolic pathways showed limited similarity with only two overlapping pathways among the four groups. HPVi patients exhibited active nucleotide biosynthesis, whereas patients with CC demonstrated a significantly higher abundance of signaling and cellular-associated protein families. In contrast, healthy controls showed a distinct enrichment in sugar metabolism. Moreover, biomarkers based on microbial SNV abundance displayed stronger diagnostic capability (cc.AUC = 0.87) than the species-level biomarkers (cc.AUC = 0.78). Ultimately, the integration of multimodal biomarkers demonstrated optimal performance for accurately identifying different cervical statuses (cc.AUC = 0.86), with an acceptable performance (AUC = 0.79) in the external testing set. Conclusions: The vaginal microbiome exhibits specific SNV evolution in conjunction with the progression of CC, and serves as a specific biomarker for distinguishing between different statuses of cervical disease. [ABSTRACT FROM AUTHOR]

Many genes and signalling pathways within plant and animal taxa drive the expression of multiple organismal traits. This form of genetic pleiotropy instigates trade-offs among life-history traits if a mutation in the pleiotropic gene improves the fitness contribution of one trait at the expense of another. Whether or not pleiotropy gives rise to conflict among traits, however, likely depends on the resource costs and timing of trait deployment during organismal development. To investigate factors that could influence the evolutionary maintenance of pleiotropy in gene networks, we developed an agent-based model of co-evolution between parasites and hosts. Hosts comprise signalling networks that must faithfully complete a developmental programme while also defending against parasites, and trait signalling networks could be independent or share a pleiotropic component as they evolved to improve host fitness. We found that hosts with independent developmental and immune networks were significantly more fit than hosts with pleiotropic networks when traits were deployed asynchronously during development. When host genotypes directly competed against each other, however, pleiotropic hosts were victorious regardless of trait synchrony because the pleiotropic networks were more robust to parasite manipulation, potentially explaining the abundance of pleiotropy in immune systems despite its contribution to life history trade-offs. [ABSTRACT FROM AUTHOR]

Theory predicts that compensatory genetic changes reduce negative indirect effects of selected variants during adaptive evolution, but evidence is scarce. Here, we test this in a wild population of Hawaiian crickets using temporal genomics and a high-quality chromosome-level cricket genome. In this population, a mutation, flatwing, silences males and rapidly spread due to an acoustically-orienting parasitoid. Our sampling spanned a social transition during which flatwing fixed and the population went silent. We find long-range linkage disequilibrium around the putative flatwing locus was maintained over time, and hitchhiking genes had functions related to negative flatwing-associated effects. We develop a combinatorial enrichment approach using transcriptome data to test for compensatory, intragenomic coevolution. Temporal changes in genomic selection were distributed genome-wide and functionally associated with the population's transition to silence, particularly behavioural responses to silent environments. Our results demonstrate how 'adaptation begets adaptation'; changes to the sociogenetic environment accompanying rapid trait evolution can generate selection provoking further, compensatory adaptation. Theory predicts that adaptive mutations can have indirect negative effects on fitness. This study demonstrates how 'adaptation begets adaptation': changes to the sociogenetic environment accompanying rapid adaptation in wild crickets provoked genome-wide compensatory adaptation. [ABSTRACT FROM AUTHOR]

Treating plant bacterial diseases is notoriously difficult because of the lack of available antimicrobials. Pseudomonas syringae pathovar syringae (Pss) is a major pathogen of cherry (Prunus avium) causing bacterial canker of the stem, leaf and fruit, impacting productivity and leading to a loss of trees. In an attempt to find a treatment for this disease, naturally occurring bacteriophage (phage) that specifically target Pss is being investigated as a biocontrol strategy. However, before using them as a biocontrol treatment, it is important to both understand their efficacy in reducing the bacterial population and determine if the bacterial pathogens can evolve resistance to evade phage infection. To investigate this, killing curve assays of five MR phages targeting Pss showed that phage resistance rapidly emerges in vitro, even when using a cocktail of the five phages together. To gain insight to the changes occurring, Pss colonies were collected three times during a 66‐h killing curve assay and separately, Pss and phage were also coevolved over 10 generations, enabling the measurement of genomic and fitness changes in bacterial populations. Pss evolved resistance to phages through modifications in lipopolysaccharide (LPS) synthesis pathways. Bacterial fitness (growth) and virulence were affected in only a few mutants. Deletion of LPS‐associated genes suggested that LPS was the main target receptor for all five MR phages. Later generations of coevolved phages from the coevolution experiment were more potent at reducing the bacterial density and when used with wild‐type phages could reduce the emergence of phage‐resistant mutants. This study shows that understanding the genetic mechanisms of bacterial pathogen resistance to phages is important for helping to design a more effective approach to kill the bacteria while minimizing the opportunity for phage resistance to manifest. [ABSTRACT FROM AUTHOR]

The article explores the co-evolution of atmospheric oxygen (O2) and carbon dioxide (CO2) concentrations throughout Earth's history and their impact on the habitability of the planet. It discusses the relationship between O2 and CO2, the role of the enzyme Rubisco in photosynthesis and carbon fixation, and the influence of O2:CO2 ratios on the efficiency of Rubisco. The article also examines the evolution of marine algae and the diversity of marine animals in relation to changes in O2 and CO2 levels. It highlights the need for spatially resolved records of ocean oxygen concentrations, algal photosynthesis, and animal metabolic tolerance to further understand the co-evolution of atmospheric composition and Earth's habitability. [Extracted from the article]

Niche construction theory has played a prominent role in archaeology during the last decade. However, the potential of niche construction in relation to agricultural development has received less attention. To this end, we bring together literature on the forms and sources of agronomic variability and use a series of examples to highlight the importance of reciprocal causation and ecological inheritance in trajectories of agricultural change. We demonstrate how niche construction theory can inform on emergent mutualisms in both inceptive and established agronomic contexts, the recursive relationships between humans and their agronomic environments, and bridges between the past and present. [ABSTRACT FROM AUTHOR]

Entrepreneurs have to price their innovations under the unpredictability of customers' reactions. While predictive pricing methods are prevalent in business-to-business pricing literature, we argue for the critical importance of control-oriented pricing strategies for digital services. By applying effectuation theory, our study investigates how entrepreneurs co-create their pricing strategies for their digital services as a co-evolutionary, iterative process with their customers. We found that pricing is the co-evolutionary process where entrepreneurs learn from their interactions with customers and use this knowledge to develop and improve their pricing practices further. The findings contribute to behavioural pricing literature by explaining pricing strategy formation as a co-creative process that focuses on interactions rather than predictive actions. [ABSTRACT FROM AUTHOR]

This article explores the role of technology in language education, particularly in the context of remote instruction during the COVID-19 pandemic. It discusses the use of various technologies such as video conferencing, social media, language tutorial websites, and translation tools in language teaching and learning. The article also examines the historical development of tools and the impact of technology on human anatomy and cognitive abilities. It further explores the concept of cultures-of-use, which refers to the diverse ways individuals and communities utilize digital tools. The article concludes by discussing the potential implications of generative artificial intelligence (GenAI) in language education, highlighting both the benefits and challenges associated with its use. It emphasizes the importance of responsible and effective integration of these models into instructional contexts to support full participation and equity in education, while also recognizing the crucial role of human teachers in enhancing language learning. [Extracted from the article]

In facultative symbioses, only a fraction of hosts are associated with symbionts. Specific host and symbiont pairings may be the result of host–symbiont coevolution driven by reciprocal selection or priority effects pertaining to which potential symbiont is associated with a host first. Distinguishing between these possibilities is important for understanding the evolutionary forces that affect facultative symbioses. We used the social amoeba, Dictyostelium discoideum , and its symbiont, Paraburkholderia bonniea , to determine whether ongoing coevolution affects which host–symbiont strain pairs naturally cooccur within a facultative symbiosis. Relative to other Paraburkholderia , including another symbiont of D. discoideum , P. bonniea features a reduced genome size that indicates a significant history of coevolution with its host. We hypothesized that ongoing host–symbiont coevolution would lead to higher fitness for naturally cooccurring (native) host and symbiont pairings compared to novel pairings. We show for the first time that P. bonniea symbionts can horizontally transmit to new amoeba hosts when hosts aggregate together during the social stage of their life cycle. Here we find evidence for a virulence–transmission trade-off without host specificity. Although symbiont strains were significantly variable in virulence and horizontal transmission rate, hosts and symbionts responded similarly to associations in native and novel pairings. We go on to identify candidate virulence factors in the genomes of P. bonniea strains that may contribute to variation in virulence. We conclude that ongoing coevolution is unlikely for D. discoideum and P. bonniea. The system instead appears to represent a stable facultative symbiosis in which naturally cooccurring P. bonniea host and symbiont pairings are the result of priority effects. [ABSTRACT FROM AUTHOR]

Female fritillary butterflies (Lepidoptera: Nymphalidae: Argynnini) are known to have diversified genital structures, especially at the entrance of the bursa copulatrix. However, the origin and function of such elaborated structures are poorly known to date. We examined the male and female genital structures of six Japanese species selected from five genera/subgenera [Argynnis (Argynnis), Argynnis (Damora), Argynnis (Argyronome), Fabriciana, and Speyeria] of the Argynnini tribe and found that traumatic copulation is widespread in Argynnini. Various male genital structures, such as the uncus, valva, and phallus, can cause wounds to the female genitalia. The eighth venter of the female, where the highest morphological diversity in female genitalia was detected, is hooked and held by the male uncus during copulation. It is very likely that the diversified female genital structure coevolved with the male uncus as a counterpart for traumatic coupling. [ABSTRACT FROM AUTHOR]

This paper efficiently addresses the high-dimensional robust order scheduling problem. A novel algorithm named dynamic cooperative coevolution based on an implicit decision variable classification approach (DCC/IDVCA) is developed to search for robust order schedules. To significantly reduce the computational resources required for solving the high-dimensional robust order scheduling problem, we propose decomposing the original decision variables through implicit classification methods. First, a novel estimation method is introduced to evaluate the weighted contribution of variables to robustness. This method utilizes historical information, including the variation of the overall mean effective fitness and the frequency of variables being classified into highly robustness-related subcomponents in previous cycles, for evaluating their weighted contribution to robustness. Then, based on the corresponding weighted robustness contributions, the original variables are classified into highly and weakly robustness-related variables. Finally, these two types of variables are decomposed into highly and weakly robustness-related subgroups within a dynamic cooperative coevolution framework and optimized separately. In the experimental section, the proposed algorithm is applied to two practical order scheduling problems in discrete manufacturing industry. The experimental results demonstrate that the proposed algorithm achieves competitive outcomes compared to state-of-the-art high-dimensional robust multi-objective optimization algorithms. [ABSTRACT FROM AUTHOR]

The Circular Economy (CE) concept is integral to sustainable development, yet its theoretical richness contrasts with varied practical applications, as evidenced by over two hundred definitions. This study contributes to understanding this disconnect by analyzing CE adoption in three Pacific Small Island Developing States (SIDS), examining the interplay between institutional dynamics and sustainable transition policies within Nationally Determined Contributions (NDCs). Utilizing the Ellen MacArthur Foundation's butterfly diagram to identify CE initiatives, this research adopts a mixed-methods approach supplemented by institutional co-evolutionary analysis to examine CE initiatives' efficacy in these island states. Results indicate that disjointed CE efforts impact the advancement of NDCs. Local "actor institutions," particularly in Samoa and the Cook Islands, are pivotal, successfully driving projects such as community biogas and solar energy programs. Conversely, Tonga's centralized initiatives underscore the limitations of top-down approaches. This study underlines the importance of aligning CE policies with local institutional realities to enhance their efficacy and contribute to global sustainability goals. [ABSTRACT FROM AUTHOR]

Organizational sustainability orientation (OSO) is a concept increasingly gaining prominence among academics and practitioners. The primary goals of this study entail:(a) elucidating about the origins and evolution of OSO, encompassing its conceptual foundations, the scholarly communities instrumental in shaping the field, and its co-evolution with social and environmental orientations; (b) delineating the diverse research streams within the OSO domain and establishing avenues for advancing this line of inquiry; and, (c) proposing a conceptual framework that includes the drivers, consequences, and contextual contingencies associated with OSO. The study employs two bibliometric analyses, namely, co-citation and citation and a qualitative thematic analysis. Drawing on a dataset of 112 scholarly articles, the research provides nuancedinsights into the development and advancement of OSO research, underscores its state of the art, and proposes avenues for future investigations in this evolving field. [ABSTRACT FROM AUTHOR]

Maintaining genome integrity is vital for organismal survival and reproduction. Essential, broadly conserved DNA repair pathways actively preserve genome integrity. However, many DNA repair proteins evolve adaptively. Ecological forces like UV exposure are classically cited drivers of DNA repair evolution. Intrinsic forces like repetitive DNA, which also imperil genome integrity, have received less attention. We recently reported that a Drosophila melanogaster -specific DNA satellite array triggered species-specific, adaptive evolution of a DNA repair protein called Spartan/MH. The Spartan family of proteases cleave hazardous, covalent crosslinks that form between DNA and proteins ("DNA–protein crosslink repair"). Appreciating that DNA satellites are both ubiquitous and universally fast-evolving, we hypothesized that satellite DNA turnover spurs adaptive evolution of DNA–protein crosslink repair beyond a single gene and beyond the D. melanogaster lineage. This hypothesis predicts pervasive Spartan gene family diversification across Drosophila species. To study the evolutionary history of the Drosophila Spartan gene family, we conducted population genetic, molecular evolution, phylogenomic, and tissue-specific expression analyses. We uncovered widespread signals of positive selection across multiple Spartan family genes and across multiple evolutionary timescales. We also detected recurrent Spartan family gene duplication, divergence, and gene loss. Finally, we found that ovary-enriched parent genes consistently birthed functionally diverged, testis-enriched daughter genes. To account for Spartan family diversification, we introduce a novel mechanistic model of antagonistic coevolution that links DNA satellite evolution and adaptive regulation of Spartan protease activity. This framework promises to accelerate our understanding of how DNA repeats drive recurrent evolutionary innovation to preserve genome integrity. [ABSTRACT FROM AUTHOR]

Mitochondria and plastids have both dramatically reduced their genomes since the endosymbiotic events that created them. The similarities and differences in the evolution of the two organelle genome types have been the target of discussion and investigation for decades. Ongoing work has suggested that similar mechanisms may modulate the reductive evolution of the two organelles in a given species, but quantitative data and statistical analyses exploring this picture remain limited outside of some specific cases like parasitism. Here, we use cross-eukaryote organelle genome data to explore evidence for coevolution of mitochondrial and plastid genome reduction. Controlling for differences between clades and pseudoreplication due to relatedness, we find that extents of mtDNA and ptDNA gene retention are related to each other across taxa, in a generally positive correlation that appears to differ quantitatively across eukaryotes, for example, between algal and nonalgal species. We find limited evidence for coevolution of specific mtDNA and ptDNA gene pairs, suggesting that the similarities between the two organelle types may be due mainly to independent responses to consistent evolutionary drivers. [ABSTRACT FROM AUTHOR]

In real-world applications, feature selection is crucial for enhancing the performance of data science and machine learning models. Typically, feature selection is a complex combinatorial optimization problem and a multi-objective optimization problem. Its primary goals are to reduce the dimensionality of the dataset and enhance the performance of machine learning algorithms. The selection of features in high-dimensional datasets is challenging due to the intricate relationships between features, which pose significant challenges to the performance and computational efficiency of algorithms. This paper introduces a Knowledge-Guided Competitive Co-Evolutionary Algorithm (KCCEA) for feature selection, especially for high-dimensional features. In the proposed algorithm, we make improvements to the foundational dominance-based multi-objective evolutionary algorithm in two aspects. First, the use of feature correlation as knowledge to guide evolution enhances the search speed and quality of traditional multi-objective evolutionary algorithm solutions. Second, a dynamically allocated competitive–cooperative evolutionary mechanism is proposed, integrating the improved knowledge-guided evolution with traditional evolutionary algorithms, further enhancing the search efficiency and diversity of solutions. Through rigorous empirical testing on various datasets, the KCCEA demonstrates superior performance compared to basic multi-objective evolutionary algorithms, providing effective solutions to multi-objective feature selection problems while enhancing the interpretability and effectiveness of prediction models. [ABSTRACT FROM AUTHOR]

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Features of landscape morphology—including slope, curvature, and drainage dissection—are important controls on runoff generation in upland landscapes. Over long timescales, runoff plays an essential role in shaping these same features through surface erosion. This feedback between erosion and runoff generation suggests that modeling long‐term landscape evolution together with dynamic runoff generation could provide insight into hydrological function. Here we examine the emergence of variable source area runoff generation in a new coupled hydro‐geomorphic model that accounts for water balance partitioning between surface flow, subsurface flow, and evapotranspiration as landscapes evolve over millions of years. We derive a minimal set of dimensionless numbers that provide insight into how hydrologic and geomorphic parameters together affect landscapes. Across the parameter space we investigated, model results collapsed to a single inverse relationship between the dimensionless relief and the ratio of catchment quickflow to discharge. Furthermore, we found an inverse relationship between the Hillslope number, which describes topographic relief relative to aquifer thickness, and the proportion of the landscape that was variably saturated. While the model generally produces fluvial topography visually similar to simpler landscape evolution models, certain parameter combinations produce wide valley bottom wetlands and non‐dendritic, trellis‐like drainage networks, which may reflect real conditions in some landscapes where aquifer gradients become decoupled from topography. With these results, we demonstrate the power of hydro‐geomorphic models for generating new insights into hydrological processes, and also suggest that subsurface hydrology may be integral for modeling aspects of long‐term landscape evolution. Plain Language Summary: The topography of landscapes affects how much and where precipitation becomes runoff, while runoff itself plays a role in shaping topography over long times through erosion. Some landscapes may exist in an equilibrium state, where the landscape is ideally shaped to carry the amount of runoff produced. Understanding this equilibrium may provide insights into why landscapes have different hydrological styles; for example, some landscapes contribute runoff to streams primarily through the ground, whereas others develop saturated areas during storms that generate surface runoff when rain falls on them. Here we use a new model to simulate dynamic runoff as we expect it to occur in humid temperate environments while also using this runoff to evolve topography. The results show that landscapes that already have a tendency to produce variably saturated areas because they are poor at storing water or transmitting it laterally through the ground also evolve to have lower relief, which helps variably saturated areas to persist. The results highlight the role that landscape history plays in the hydrological processes observed today and can be used to better understand the role of subsurface hydrological processes in long‐term landscape evolution. Key Points: A landscape evolution model with runoff from shallow groundwater was used to explore how hydrological function coevolves with topographyLandscapes evolve toward equilibrium where unchanneled uplands supply just enough for persistence of lowland saturated areasWe found local relief decreases log‐linearly with the fraction of runoff generated by saturation excess, in agreement with field studies [ABSTRACT FROM AUTHOR]

Coevolved genetic interactions within populations can be disrupted by hybridization resulting in loss of fitness in hybrid individuals (i.e., hybrid breakdown). However, the extent to which variation in fitness-related traits among hybrids is inherited across generations remains unclear, and variation in these traits may be sex-specific in hybrids due to differential effects of genetic incompatibilities in females and males. Here we present two experiments investigating variation in developmental rate among reciprocal interpopulation hybrids of the intertidal copepod Tigriopus californicus. Developmental rate is a fitness-related trait in this species that is affected by interactions between mitochondrial-encoded and nuclear-encoded genes in hybrids that result in variation in mitochondrial ATP synthesis capacities. First, we show that F2 -hybrid developmental rate is equivalent in two reciprocal crosses and is unaffected by sex, suggesting that breakdown of developmental rate is likely experienced equally by females and males. Second, we demonstrate that variation in developmental rate among F3 hybrids is heritable; times to copepodid metamorphosis of F4 offspring of fast-developing F3 parents (12.25 ± 0.05 days, μ ± SEM) were significantly faster than those of F4 offspring of slow-developing parents (14.58 ± 0.05 days). Third, we find that ATP synthesis rates in these F4 hybrids are unaffected by the developmental rates of their parents, but that mitochondria from females synthesize ATP at faster rates than mitochondria from males. Taken together, these results suggest that sex-specific effects vary among fitness-related traits in these hybrids, and that effects likely associated with hybrid breakdown display substantial inheritance across hybrid generations.

All mitochondrial-encoded proteins and RNAs function through interactions with nuclear-encoded proteins, which are critical for mitochondrial performance and eukaryotic fitness. Coevolution maintains inter-genomic (i.e., mitonuclear) compatibility within a taxon, but hybridization can disrupt coevolved interactions, resulting in hybrid breakdown. Thus, mitonuclear incompatibilities may be important mechanisms underlying reproductive isolation and, potentially, speciation. Here we utilize Pool-seq to assess the effects of mitochondrial genotype on nuclear allele frequencies in fast- and slow-developing reciprocal inter-population F2 hybrids between relatively low-divergence populations of the intertidal copepod Tigriopus californicus. We show that mitonuclear interactions lead to elevated frequencies of coevolved (i.e., maternal) nuclear alleles on two chromosomes in crosses between populations with 1.5% or 9.6% fixed differences in mitochondrial DNA nucleotide sequence. However, we also find evidence of excess mismatched (i.e., non-coevolved) alleles on three or four chromosomes per cross, respectively, and of allele frequency differences consistent with effects involving only nuclear loci (i.e., unaffected by mitochondrial genotype). Thus, our results for low-divergence crosses suggest an underlying role for mitonuclear interactions in variation in hybrid developmental rate, but despite substantial effects of mitonuclear coevolution on individual chromosomes, no clear bias favouring coevolved interactions overall.

Mitochondrial functions are intimately reliant on proteins and RNAs encoded in both the nuclear and mitochondrial genomes, leading to inter-genomic coevolution within taxa. Hybridization can break apart coevolved mitonuclear genotypes, resulting in decreased mitochondrial performance and reduced fitness. This hybrid breakdown is an important component of outbreeding depression and early-stage reproductive isolation. However, the mechanisms contributing to mitonuclear interactions remain poorly resolved. Here, we scored variation in developmental rate (a proxy for fitness) among reciprocal F2 interpopulation hybrids of the intertidal copepod Tigriopus californicus and used RNA sequencing to assess differences in gene expression between fast- and slow-developing hybrids. In total, differences in expression associated with developmental rate were detected for 2925 genes, whereas only 135 genes were differentially expressed as a result of differences in mitochondrial genotype. Upregulated expression in fast developers was enriched for genes involved in chitin-based cuticle development, oxidation-reduction processes, hydrogen peroxide catabolic processes and mitochondrial respiratory chain complex I. In contrast, upregulation in slow developers was enriched for DNA replication, cell division, DNA damage and DNA repair. Eighty-four nuclear-encoded mitochondrial genes were differentially expressed between fast- and slow-developing copepods, including 12 subunits of the electron transport system (ETS) which all had higher expression in fast developers than in slow developers. Nine of these genes were subunits of ETS complex I. Our results emphasize the major roles that mitonuclear interactions within the ETS, particularly in complex I, play in hybrid breakdown, and resolve strong candidate genes for involvement in mitonuclear interactions.

Abstract The automotive market worldwide is experiencing unprecedented growth, driven by the adoption of electric passenger and light commercial vehicles, and more recently, by the introduction of electric trucks - in Europe, the United States and Asia – in an attempt to cut greenhouse gas emissions and achieve carbon neutrality, promoting social, environmental, and economic sustainability. This study aims at understanding the perspective of diesel-truck players, regarding the transition to electric engines, from a qualitative, exploratory, and descriptive point of view, using a multilevel and co-evolutionary approach, with a longitudinal temporal perspective, from 2016 to 2022, in Brazil. Among factors identified for the adoption of electric trucks in Brazil are some technological, economic and regulatory elements, consistent with the theory: (a) to increase the availability of public and commercial charging stations; (b) to adapt clean-energy production, transmission and distribution to meet new charge demands; (c) to make hydrogen production cheaper by increasing production; and (d) fuel-cell regulation and standardization. Our evidence-gathering expands the list and adds two resistance factors: (e) business models used to guarantee sales development; and (f) lack of qualified personnel, at the automaker and service network, in terms of electrotechnical expertise and skillset.

Abstract Phenolic compounds (phenolics) are secondary metabolites ubiquitous across plants. The earliest phenolics are linked to plants' successful transition from an aquatic to a terrestrial environment, serving as protection against damaging ultraviolet (UV) radiation, and as antioxidants to reduce oxidative stress in an atmosphere with an increasingly high O2:CO2 ratio. In modern plants, phenolics are best known for the defense against fungal and bacterial pathogens and as antifeedants that deter herbivory. Phenolics also play a role in seed dormancy, delaying germination, and lengthening viability in the seed bank. Many plants' seeds are endozoochorous – dispersed by animals, like birds, who eat and later excrete the seeds. Plants send visual signals to attract birds with UV‐sensitive (UVS) vision for pollination and seed dispersal. As fruits ripen, antioxidant activity and phenolic content decrease. The waxy cuticle of fruits increases in UV reflection as phenolic rings, which absorb UV light, degrade. The UV contrast that birds detect may act as an honest signal, indicating nutritional changes in the fruit. However, there is little evidence to support the evolution of UV coloration during ripening being driven by frugivore selection. Antioxidant properties of fruit phenolics may be dually adaptive in plants and avian frugivores.

The article discusses the diversity of plant specialized metabolites and offers a new mathematical modeling approach to explain this diversity. It explores different hypotheses, such as the dominance reversal hypothesis and the fluctuating-selection hypothesis, to understand the maintenance of chemodiversity in plants. The article emphasizes the importance of considering different types of diversity and suggests further research to investigate the dominance characteristics of traits and the ecological and physiological aspects of metabolite expression. Overall, the article provides valuable insights into the mechanisms driving the diversity of plant specialized metabolites. [Extracted from the article]

As most life-forms exist as holobionts, reduction of host-level biodiversity drives parallel habitat losses to their host-adapted microorganisms. The holobiont concept helps us to understand how species are habitats for – often ignored – coevolved microorganisms also worthy of conservation. Indeed, loss of host-associated microbial biodiversity may accelerate the extinction risks of their host. [ABSTRACT FROM AUTHOR]

This paper elaborates on how design rules emerge and evolve as firms' micro-level choices of product and organization architectures coevolve with changes in product markets and an industry's competitive and cooperative dynamics. We suggest that the design rules a firm adopts will vary according to firms' strategic choices of product and organization architectures that they believe are or may become feasible in a given industry. Building on the mirroring hypothesis that product designs a firm adopts will influence the organization designs it uses, we develop a model that identifies key relationships that influence firms' strategic choices of product and organization architectures and associated design rules. We then elaborate on key interactions between firm-level architectural choices and the architecture-enabled competitive and cooperative dynamics that obtain in an industry. Our model identifies strategically important aspects of open- and closed-system architectures and modular and nonmodular architectures that impact industry structures, interfirm interactions, and resulting industry dynamics. Drawing on these analyses, we suggest how firms' strategic choices of architectures are influenced by their assessments of (i) the potential for capturing value through both gains from specialization and gains from trade that firms believe will be enabled by their architectural choices and (ii) both ex ante and ex post transaction costs implied by their architecture decisions. We conclude by suggesting how the perspective on firm's strategic architectural decisions we develop here enables new approaches to understanding evolutions of both product markets and industry structures for serving product markets. [ABSTRACT FROM AUTHOR]

Lot streaming is the most widely used technique to facilitate the overlap of successive operations. Considering the consistent sublots and machine breakdown, this study investigates the multi-objective hybrid flowshop rescheduling problem with consistent sublots (MOHFRP_CS), which aims at optimising the total completion time, starting time deviations of operations, and average adjustment of sublot sizes simultaneously. By introducing the decomposition strategy and effective migrating birds optimisation framework, this paper develops a multi-objective migrating birds optimisation algorithm based on decomposition (MMBO/D). In MMBO/D, the problem is decomposed into a series of sub-problems, and its solutions are initialised by the Glover operator and further optimised by the variable neighbourhood descent strategy. The weights assigned to the sub-problems are adapted dynamically according to a variable weight strategy, and a global update strategy is employed to update the solutions. A novel sharing and benefiting mechanism is proposed to implement coevolution among different sub-problems. Competitive mechanisms are modified by considering similar sub-problems to improve population quality. A criterion is designed to check whether a subproblem is stuck in the local optima. The comprehensive computational results demonstrate that MMBO/D outperforms other state-of-the-art multi-objective evolutionary algorithms (MOEAs) for the addressed problem. [ABSTRACT FROM AUTHOR]

Predator-prey interactions are one of ecology's central research themes, but with many interdisciplinary implications across the social and natural sciences. Here we consider an often-overlooked species in these interactions, namely parasites. We first show that a simple predator-prey-parasite model, inspired by the classical Lotka-Volterra equations, fails to produce a stable coexistence of all three species, thus failing to provide a biologically realistic outcome. To improve this, we introduce free space as a relevant eco-evolutionary component in a new mathematical model that uses a game-theoretical payoff matrix to describe a more realistic setup. We then show that the consideration of free space stabilizes the dynamics by means of cyclic dominance that emerges between the three species. We determine the parameter regions of coexistence as well as the types of bifurcations leading to it by means of analytical derivations as well as by means of numerical simulations. We conclude that the consideration of free space as a finite resource reveals the limits of biodiversity in predator-prey-parasite interactions, and it may also help us in the determination of factors that promote a healthy biota.