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A model for tool-use traditions in primates: implications for the coevolution of culture and cognition.

Inspired by the demonstration that tool-use variants among wild chimpanzees and orangutans qualify as traditions (or cultures), we developed a formal model to predict the incidence of these acquired specializations among wild primates and to examine the evolution of their underlying abilities. We assumed that the acquisition of the skill by an individual in a social unit is crucially controlled by three main factors, namely probability of innovation, probability of socially biased learning, and the prevailing social conditions (sociability, or number of potential experts at close proximity). The model reconfirms the restriction of customary tool use in wild primates to the most intelligent radiation, great apes; the greater incidence of tool use in more sociable populations of orangutans and chimpanzees; and tendencies toward tool manufacture among the most sociable monkeys. However, it also indicates that sociable gregariousness is far more likely to produce the maintenance of invented skills in a population than solitary life, where the mother is the only accessible expert. We therefore used the model to explore the evolution of the three key parameters. The most likely evolutionary scenario is that where complex skills contribute to fitness, sociability and/or the capacity for socially biased learning increase, whereas innovative abilities (i.e., intelligence) follow indirectly. We suggest that the evolution of high intelligence will often be a byproduct of selection on abilities for socially biased learning that are needed to acquire important skills, and hence that high intelligence should be most common in sociable rather than solitary organisms. Evidence for increased sociability during hominin evolution is consistent with this new hypothesis.

Animals↗

Synchronous coadaptation in an ancient case of herbivory.

Coevolution has long been considered a major force leading to the adaptive radiation and diversification of insects and plants. A fundamental aspect of coevolution is that adaptations and counteradaptations interlace in time. A discordant origin of traits long before or after the origin of the putative coevolutionary selective pressure must be attributed to other evolutionary processes. Despite the importance of this distinction to our understanding of coevolution, the macroevolutionary tempo of innovation in plant defenses and insect counterdefenses has not been documented. Molecular clocks for a lineage of chrysomelid beetles of the genus Blepharida and their Burseraceae hosts were independently calibrated. Results show that these plants' defenses and the insect's counterdefensive feeding traits evolved roughly in synchrony, providing macroevolutionary confirmation of synchronous plant-herbivore coadaptation. The association between these two groups of organisms was determined to be about 112 million years old, the oldest age so far for a specialized plant-herbivore association.

Adaptation, Physiological↗

Large-scale Genome Analyses Provide Insights into Hymenoptera Evolution.

The order Hymenoptera includes a large number of species with diverse lifestyles and is known for its significant contributions to natural ecosystems. To better understand the evolution of this diverse order, we performed large-scale comparative genomics on 131 species from 13 superfamilies, covering most representative groups. We used these genomes to reveal an overall pattern of genomic change in terms of gene content and evolutionary rate throughout hymenopteran history. We identified genes that possibly contributed to the evolution of several key innovations, such as parasitoidism, wasp-waist, stinger, and secondary phytophagy. We also discovered the distinct genomic trajectories between the clade containing major parasitoid wasps (Parasitoida) and stinging species (Aculeata) since their divergence, which are involved in many aspects of genomic change, such as rapidly evolving gene families, gene gain and loss, and metabolic pathway evolution. In addition, we explored the genomic features accompanying the three independent evolution of secondary phytophagy. Our work provides insights for understanding genome evolution and the genomic basis of diversification in Hymenoptera.

Animals↗

Neofunctionalization in vertebrates: the example of retinoic acid receptors.

Understanding the role of gene duplications in establishing vertebrate innovations is one of the main challenges of Evo-Devo (evolution of development) studies. Data on evolutionary changes in gene expression (i.e., evolution of transcription factor-cis-regulatory elements relationships) tell only part of the story; protein function, best studied by biochemical and functional assays, can also change. In this study, we have investigated how gene duplication has affected both the expression and the ligand-binding specificity of retinoic acid receptors (RARs), which play a major role in chordate embryonic development. Mammals have three paralogous RAR genes--RAR alpha, beta, and gamma--which resulted from genome duplications at the origin of vertebrates. By using pharmacological ligands selective for specific paralogues, we have studied the ligand-binding capacities of RARs from diverse chordates species. We have found that RAR beta-like binding selectivity is a synapomorphy of all chordate RARs, including a reconstructed synthetic RAR representing the receptor present in the ancestor of chordates. Moreover, comparison of expression patterns of the cephalochordate amphioxus and the vertebrates suggests that, of all the RARs, RAR beta expression has remained most similar to that of the ancestral RAR. On the basis of these results together, we suggest that while RAR beta kept the ancestral RAR role, RAR alpha and RAR gamma diverged both in ligand-binding capacity and in expression patterns. We thus suggest that neofunctionalization occurred at both the expression and the functional levels to shape RAR roles during development in vertebrates.

Amino Acid Sequence↗

Studying phenotypic evolution using multivariate quantitative genetics.

Quantitative genetics provides a powerful framework for studying phenotypic evolution and the evolution of adaptive genetic variation. Central to the approach is G, the matrix of additive genetic variances and covariances. G summarizes the genetic basis of the traits and can be used to predict the phenotypic response to multivariate selection or to drift. Recent analytical and computational advances have improved both the power and the accessibility of the necessary multivariate statistics. It is now possible to study the relationships between G and other evolutionary parameters, such as those describing the mutational input, the shape and orientation of the adaptive landscape, and the phenotypic divergence among populations. At the same time, we are moving towards a greater understanding of how the genetic variation summarized by G evolves. Computer simulations of the evolution of G, innovations in matrix comparison methods, and rapid development of powerful molecular genetic tools have all opened the way for dissecting the interaction between allelic variation and evolutionary process. Here I discuss some current uses of G, problems with the application of these approaches, and identify avenues for future research.

Biological Evolution↗

Optimization by stimulating molecular evolution.

Based on the analogy between mathematical optimization and molecular evolution and on Eigen's quasi-species model of molecular evolution, an evolutionary algorithm for combinatorial optimization has been developed. This algorithm consists of a versatile variation scheme and an innovative decision rule, the essence of which lies in a radical revision of the conventional philosophy of optimization: A number of configurations of variables with better values, instead of only a single best configuration, are selected as starting points for the next iteration. As a result the search proceeds in parallel along a number of routes and is unlikely to get trapped in local optima. An important innovation of the algorithm is introduction of a constraint to let the starting points always keep a certain distance from each other so that the search is able to cover a larger region of space effectively. The main advantage of the algorithm is that it has more chances to find the global optimum and as many local optima as possible in a single run. This has been demonstrated in preliminary computational experiments.

Algorithms↗

Vertebrate evolution: doubling and shuffling with a full deck.

The number and role of whole-genome duplications in vertebrate evolution has intrigued evolutionary biologists since Ohno first proposed genome duplication as the force driving the 'big leap' in vertebrate morphological innovation. Attempts to resolve these issues have been thwarted by small and noisy datasets, and by lack of computational accuracy and statistical rigor. Recently, Ken Wolfe and colleagues presented a genome-scale, statistically rigorous analysis of evidence based on the spatial organization of duplicated genes, as well as estimates of duplication times. Their results provide the strongest evidence to date of large-scale duplication throughout the vertebrate genome, consistent with at least one whole-genome duplication.

Animals↗

Protein domains and architectural innovation in plant-associated Proteobacteria.

BACKGROUND: Evolution of new complex biological behaviour tends to arise by novel combinations of existing building blocks. The functional and evolutionary building blocks of the proteome are protein domains, the function of a protein being dependent on its constituent domains. We clustered completely-sequenced proteomes of prokaryotes on the basis of their protein domain content, as defined by Pfam (release 16.0). This revealed that, although there was a correlation between phylogeny and domain content, other factors also have an influence. This observation motivated an investigation of the relationship between an organism's lifestyle and the complement of domains and domain architectures found within its proteome. RESULTS: We took a census of all protein domains and domain combinations (architectures) encoded in the completely-sequenced proteobacterial genomes. Nine protein domain families were identified that are found in phylogenetically disparate plant-associated bacteria but are absent from non-plant-associated bacteria. Most of these are known to play a role in the plant-associated lifestyle, but they also included domain of unknown function DUF1427, which is found in plant symbionts and pathogens of the alpha-, beta- and gamma-Proteobacteria, but not known in any other organism. Further, several domains were identified as being restricted to phytobacteria and Eukaryotes. One example is the RolB/RolC glucosidase family, which is found only in Agrobacterium species and in plants. We identified the 0.5% of Pfam protein domain families that were most significantly over-represented in the plant-associated Proteobacteria with respect to the background frequencies in the whole set of available proteobacterial proteomes. These included guanylate cyclase, domains implicated in aromatic catabolism, cellulase and several domains of unknown function. We identified 459 unique domain architectures found in phylogenetically diverse plant pathogens and symbionts that were absent from non-pathogenic and non-symbiotic relatives. The vast majority of these were restricted to a single species or several closely related species and so their distributions could be better explained by phylogeny than by lifestyle. However, several architectures were found in two or more very distantly related phytobacteria but absent from non-plant-associated bacteria. Many of the proteins with these unique architectures are predicted to be secreted. In Pseudomonas syringae pathovar tomato, those genes encoding genes with novel domain architectures tended to have atypical GC contents and were adjacent to insertion sequence elements and phage-like sequences, suggesting acquisition by horizontal transfer. CONCLUSIONS: By identifying domains and architectures unique to plant pathogens and symbionts, we highlighted candidate proteins for involvement in plant-associated bacterial lifestyles. Given that characterisation of novel gene products in vivo and in vitro is time-consuming and expensive, this computational approach may be useful for reducing experimental search space. Furthermore we discuss the biological significance of novel proteins highlighted by this study in the context of plant-associated lifestyles.

Cluster Analysis↗

Evolution of surgery--śuśrta's innovative skills.

Surgery and Medicine are inseparably fused today as essential parts of the art of heeling. Over the millennia of recorded history, Medicine and Surgery have followed separate and largely independent evolutionary pertains. It is obvious that medical care could not have been complete without some surgery in ancient times. This branch of medical skill was not accepted as profession. The practitioners were members of all low caste, who were illiterates and passed on their knowledge by oral tradition rather than in writing. The barbers are celebrity surgeons in ancient India and continued till the recent past it is evident by Pandyan inscriptions of Tamilnadu of 7th-8th centuries A.D. The barbers were also the surgeons in ancient and medieval Europe. śuśrta, a great ancient Indian Surgeon, who is regarded as father of the surgery, designed surgical equipment with innovative vision and described many surgical procedures, which laid basis for many advanced technologies in this field.

General Surgery↗

The evolution of language.

The emergence of language was a defining moment in the evolution of modern humans. It was an innovation that changed radically the character of human society. Here, we provide an approach to language evolution based on evolutionary game theory. We explore the ways in which protolanguages can evolve in a nonlinguistic society and how specific signals can become associated with specific objects. We assume that early in the evolution of language, errors in signaling and perception would be common. We model the probability of misunderstanding a signal and show that this limits the number of objects that can be described by a protolanguage. This "error limit" is not overcome by employing more sounds but by combining a small set of more easily distinguishable sounds into words. The process of "word formation" enables a language to encode an essentially unlimited number of objects. Next, we analyze how words can be combined into sentences and specify the conditions for the evolution of very simple grammatical rules. We argue that grammar originated as a simplified rule system that evolved by natural selection to reduce mistakes in communication. Our theory provides a systematic approach for thinking about the origin and evolution of human language.

Biological Evolution↗

A Caenorhabditis elegans type I TGF beta receptor can function in the absence of type II kinase to promote larval development.

The daf-4 gene encodes a type II bone morphogenetic protein receptor in Caenorhabditis elegans that regulates dauer larva formation, body size and male tail patterning. The putative type I receptor partner for DAF-4 in regulating dauer larva formation is DAF-1. Genetic tests of the mechanism of activation of these receptors show that DAF-1 can signal in the absence of DAF-4 kinase activity. A daf-1 mutation enhances dauer formation in a daf-4 null background, whereas overexpression of daf-1 partially rescues a daf-4 mutant. DAF-1 alone cannot fully compensate for the loss of DAF-4 activity, indicating that nondauer development normally results from the activities of both receptors. DAF-1 signaling in the absence of a type II kinase is unique in the type I receptor family. The activity may be an evolutionary remnant, owing to daf-1's origin near the type I/type II divergence, or it may be an innovation that evolved in nematodes. daf-1 and daf-4 promoters both mediated expression of green fluorescent protein in the nervous system, indicating that a DAF-1/DAF-4 receptor complex may activate a neuronal signaling pathway. Signaling from a strong DAF-1/DAF-4 receptor complex or a weaker DAF-1 receptor alone may provide larvae with more precise control of the dauer/nondauer decision in a range of environmental conditions.

Activin Receptors, Type I↗

The evolution of feeding motor patterns in vertebrates.

Despite considerable skepticism, researchers have found that the patterns of muscle activation that control feeding behaviors of lower vertebrates have been surprisingly conserved during evolution. This tendency for conservation among taxa appears in the face of marked flexibility of motor patterns within individuals. One interpretation of these apparently conflicting trends is that the most effective motor pattern for any given feeding situation is the same across substantial phylogenetic distances and morphological differences. The novel evolutionary insight provided by this research is that historical changes to motor patterns are a relatively infrequent source of trophic innovation. The spectacular diversity of feeding abilities and feeding ecology in lower vertebrates is based mostly on axes of variation, and on the innovations in the organization of muscles and the skeletal linkage systems that they drive.

Animals↗

Anisophylly and Dorsiventral Shoot Symmetry.

Anisophylly is a special case of shoot dorsiventral symmetry in which leaf size and form differ between dorsal and ventral sides of the shoot. Anisophylly is normally coupled with leaf and stem asymmetry, modified phyllotaxis, and anisoclady. Anisophylly may be expressed throughout the shoot system (habitual anisophylly) or restricted to lateral shoots (lateral anisophylly). The combination of anisophylly, shoot dorsiventrality, and plagiotropy has arisen numerous times during evolution of the land plants, most notably in the primarily tropical families of Acanthaceae, Gesneriaceae, Melastomataceae, and Urticaceae. It is thought to represent an adaptation that maximizes light capture in dimly lit understories. In species for which anisophylly is an intrinsic expression of overall shoot symmetry, anisophylly and associated features of shoot dorsiventrality are expressed early in development. In contrast, when expression of anisophylly depends on growth conditions, anisophylly is secondarily imposed on early isophyllous leaf development. Despite more than a century of experimentation, very little is understood about the physiological control of anisophylly and dorsiventrality. Development of these features requires regulated suppression of some parts of the shoot and stimulation of others. Shifts in the temporal and spatial patterns of growth suppression and enhancement occur during both the ontogeny of an individual and during evolutionary change. Elucidating these processes for anisophyllous shoot development also should have broader significance for understanding the evolution of other morphological innovations.

Journal Article↗

Evolving conservation: The role of unconventional approaches to restore contemporary vertebrate populations and genomic biodiversity.

Conservation biology and restoration ecology are two essential yet distinct disciplines that address the growing challenge of biodiversity loss. Traditionally, these fields have relied on ecological principles and management practices aimed at protecting or reestablishing natural systems. The crisis is no longer just ecological; it is evolutionary and genomic. The accelerating pace of environmental change has outstripped the capacity of conventional approaches, creating a pressing need for innovative solutions. Biotechnology offers potentially transformative tools that can enhance the effectiveness and precision of both conservation and restoration efforts, especially for species where conventional conservation approaches have proved insufficient. Techniques such as genetic rescue, synthetic biology, and gene editing are increasingly being explored to address critical challenges, such as invasive species control, genetic diversity loss, and habitat fragmentation, to both invigorate endangered species and restore historical biodiversity. Despite its promise, the integration of biotechnology into conservation and restoration has raised ethical, ecological, and regulatory concerns. These include ecological unpredictability and public resistance to genetic interventions in wild populations. This perspective examines the current landscape of biotechnological applications in conservation and restoration, highlighting successful case studies, ongoing controversies, and optimism for additional progress. We argue that thoughtful, transparent integration of biotechnology that is grounded in ecological knowledge and stakeholder engagement can reconcile the goals of conservation and restoration. As ecosystems face mounting pressures, biotech-enabled strategies may prove essential for fostering resilience and ensuring long-term ecological sustainability.

Conservation of Natural Resources↗

On the role played by ontogenetic remodeling and functional transformation in the evolution of terrestrial hearing.

Using examples from the octavolateral system, evidence is reviewed suggesting a relationship between regressive events, such as loss of one function, or loss of one sensory subsystem, and progressive evolutionary changes in topologically associated systems. While none of the neuronal examples in the evolutionary reorganization of the otic region are as clear-cut as the initial example of non-neuronal reorganization on which the correlation of regressive with progressive changes is based (the functional transformation of the hyomandibular bone into the stapes), the general principle that a chance correlation of two insignificant events may lead to a novel function may be valid for more aspects of the evolution of the ear, in particular the auditory system, than is currently appreciated. It is suggested that regressive events may not only be an evolutionary dead end but that they may provide, through the relaxation of constraints imposed on the respective structure, a source for innovations. However, transformations of functionally uncoupled structures into a novel adaptive function will occur only when topologically adjacent structures require these transformations to improve their own function.

Animals↗

Breast tumor malignancy modelling using evolutionary neural logic networks.

The present work proposes a computer assisted methodology for the effective modelling of the diagnostic decision for breast tumor malignancy. The suggested approach is based on innovative hybrid computational intelligence algorithms properly applied in related cytological data contained in past medical records. The experimental data used in this study were gathered in the early 1990s in the University of Wisconsin, based in post diagnostic cytological observations performed by expert medical staff. Data were properly encoded in a computer database and accordingly, various alternative modelling techniques were applied on them, in an attempt to form diagnostic models. Previous methods included standard optimisation techniques, as well as artificial intelligence approaches, in a way that a variety of related publications exists in modern literature on the subject. In this report, a hybrid computational intelligence approach is suggested, which effectively combines modern mathematical logic principles, neural computation and genetic programming in an effective manner. The approach proves promising either in terms of diagnostic accuracy and generalization capabilities, or in terms of comprehensibility and practical importance for the related medical staff.

Artificial Intelligence↗

Subgenomic divergence and functional innovation following whole-genome duplication in Maleae species of Rosaceae.

Whole-genome duplication (WGD) drives plant evolution by inducing karyotype rearrangements and gene loss through subgenome fractionation. In this study, we investigate post-WGD evolutionary dynamics in Rosaceae, focusing on Maleae species, which uniquely experienced an additional WGD. Using phylogenetic and synteny analyses, we reveal that chromosomal breakpoints act as hotspots for localized fractionation, contributing to blurred homoeologous origins and influencing gene retention patterns. Here, we reconstruct karyotype evolution across Rosaceae subfamilies, highlighting chromosome reductions and lineage-specific rearrangements in Dryadoideae, Rosoideae, and Amygdaloideae. We also identify a bias for retaining transcription factors and hormone-related genes from older WGDs in subsequent polyploidy events. Transcriptome analysis classifies WGD-derived genes in Maleae species, such as apple and loquat, into three expression groups, with hormone-enriched genes playing roles in lignification and fruit-related innovations. These findings demonstrate the interplay between chromosomal breakpoints, biased retention, and functional divergence, revealing their contributions to genomic and phenotypic evolution in Maleae and their adaptive success within Rosaceae.

Genome, Plant↗