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Convergent evolution

Convergent evolution is the process whereby distantly related species independently develop similar traits or characteristics, typically in response to comparable environmental pressures or selective forces.^[1] This phenomenon occurs when unrelated lineages converge on analogous solutions to similar adaptive challenges, resulting in phenotypic similarities that are not inherited from a common ancestor.^[2] Unlike divergent evolution, where related species diversify, convergence highlights how evolution can produce parallel outcomes across disparate branches of the tree of life.^[3] Classic examples of convergent evolution abound in nature, illustrating its prevalence across taxa. The evolution of flight has occurred independently multiple times, leading to wing structures in insects, pterosaurs, birds, and bats—none of which share a recent common flying ancestor.^[4] Similarly, echolocation has arisen separately in bats and dolphins, enabling these mammals to navigate and hunt in low-light environments.^[5] In marine settings, sharks (cartilaginous fish) and dolphins (mammals) have both evolved streamlined bodies and dorsal fins for efficient swimming, adapting to hydrodynamic demands despite their distant phylogenetic separation.^[6] On land and in the oceans, the camera eyes of vertebrates and cephalopods like octopuses represent another striking case, with complex structures including lenses and retinas evolving convergently for vision.^[7] The study of convergent evolution holds significant implications for understanding evolutionary biology, particularly in the genomics era. It serves as a natural experiment, revealing how natural selection can repeatedly favor certain traits and genetic changes, even if through different molecular pathways.^[8] For instance, analyses of convergent traits often uncover parallel shifts in gene regulation or copy number variations, underscoring the predictability of adaptation under shared constraints.^[9] This phenomenon not only illuminates the mechanisms driving biodiversity but also informs fields like conservation and biomimicry by demonstrating evolution's repeatable patterns.^[10]

Introduction

Definition

Convergent evolution refers to the independent evolution of similar phenotypic traits in distantly related lineages, driven by comparable environmental pressures, leading to analogous structures that serve similar functions.^[1] This process results in homoplasy, where the shared traits are not inherited from a common ancestor but arise separately through adaptation.^[11] Such convergence often occurs when organisms occupy similar ecological niches, prompting natural selection to favor traits that enhance survival in those environments.^[12] A hallmark of convergent evolution is the development of functionally equivalent features without shared ancestry, distinguishing it from homology. For instance, the streamlined body shapes, dorsal fins, and flippers of sharks (a cartilaginous fish) and dolphins (a mammal) evolved independently as adaptations for efficient swimming in aquatic habitats, despite their distant phylogenetic relationship.^[13] These analogous structures illustrate how similar selective pressures—such as the need for reduced drag in water—can produce remarkable phenotypic similarity across unrelated groups.^[4] In contrast to divergent evolution, where closely related species evolve distinct traits from a common ancestor to exploit diverse environments, convergent evolution underscores the repeatability of adaptive solutions under parallel conditions.^[3] This distinction highlights the role of environmental context in shaping evolutionary outcomes, with convergence emphasizing the constraints and opportunities imposed by similar selective pressures.^[14]

Historical Development

The concept of convergent evolution traces its roots to ancient observations of similar forms in seemingly unrelated organisms. Aristotle, in his biological treatises such as Historia Animalium (circa 350 BCE), noted functional and structural similarities across diverse animals, including analogous locomotive adaptations. In the 19th century, naturalists Charles Darwin and Alfred Russel Wallace advanced these ideas within the framework of natural selection. Darwin, in On the Origin of Species (1859), described "analogies" as resemblances between organs or species not due to common descent but to similar environmental pressures, exemplified by the wings of pterodactyls, bats, and insects serving flight despite distinct ancestries. Wallace similarly highlighted such patterns in his 1858 essay and later works on mimicry, emphasizing adaptive convergence in tropical species. A key early application came from Fritz Müller's 1878 essay "Ueber die Vortheile der Mimicry bei Schmetterlingen," which explained Müllerian mimicry as convergent evolution where unrelated unpalatable butterfly species independently develop shared warning coloration to enhance mutual protection against predators.^[15] The formal distinction of the concept emerged with George Gaylord Simpson's Tempo and Mode in Evolution (1944), where he defined convergence as the independent acquisition of similar traits in distantly related lineages due to comparable selective forces, contrasting it with parallelism in closely related lineages.^[16] Mid-20th-century advancements in systematics further refined convergence detection. The rise of cladistics, pioneered by Willi Hennig in Grundzüge einer Theorie der phylogenetischen Systematik (1950, English 1966), enabled identification of homoplasy—convergent or parallel traits misleading to phylogeny—through shared derived characters and parsimony analysis.^[17] Edward O. Wilson extended these principles to sociobiology in Sociobiology: The New Synthesis (1975), applying convergent evolutionary patterns to explain the independent origins of complex social behaviors, such as eusociality, across insects, birds, and mammals under kin selection pressures. In the late 20th century, Stephen Jay Gould's writings, particularly Wonderful Life (1989) and The Structure of Evolutionary Theory (2002), debated convergence against historical contingency, using the Burgess Shale fauna to argue that while convergence shapes adaptations, replaying life's "tape" would yield diverse outcomes due to chance events.^[18] The post-2000 genomic era marked a pivotal shift, with high-throughput sequencing revealing molecular underpinnings of convergence, such as parallel mutations in distant lineages, transforming detection from morphological to genetic evidence.^[8]

Conceptual Distinctions

Parallel vs. Convergent Evolution

Parallel evolution and convergent evolution both describe the independent emergence of similar traits in separate lineages, but they differ in the degree of phylogenetic relatedness and the starting genetic or developmental framework of those lineages. Parallel evolution occurs when closely related species, sharing a recent common ancestor, independently evolve similar phenotypic changes from a comparable ancestral state, often utilizing homologous genetic or developmental pathways.^[19] In contrast, convergent evolution involves distantly related lineages developing analogous traits from dissimilar ancestral conditions, typically through non-homologous mechanisms, without a shared recent ancestor.^[20] These distinctions highlight varying levels of evolutionary independence, with parallel evolution reflecting shared constraints from common ancestry and convergent evolution demonstrating broader adaptability across divergent backgrounds. Differentiating between the two relies on phylogenetic distance and genetic underpinnings. Parallel evolution is characterized by greater genetic similarity, as the involved lineages retain homologous genes or regulatory elements from their shared ancestor, leading to changes via similar molecular routes.^[19] Convergent evolution, however, shows lower genetic homology, with traits arising from distinct genomic bases despite functional similarity, often as a result of homoplasy.^[20] Phylogenetic analysis is key: closely related clades suggest parallelism, while distant branches indicate convergence.^[21] A classic example of parallel evolution is the development of similar wing pattern mimicry for camouflage and predator deterrence in closely related Heliconius butterflies, where multiple species independently recruit the same genetic enhancers from their shared ancestry to produce convergent color patterns. In contrast, the camera-type eyes of vertebrates, such as humans, and cephalopods, like octopuses, exemplify convergent evolution; these distantly related groups evolved structurally similar eyes—featuring a lens, retina, and image-focusing mechanism—from entirely different developmental origins, with overlapping gene expression in about 69% of eye-related genes despite no recent common ancestor.^[22] Both forms underscore the predictability of evolution under similar selective pressures, though parallel evolution reveals more constrained, repeatable paths due to shared starting points, while convergence illustrates evolution's capacity to innovate solutions across diverse genetic landscapes.^[23] This duality supports the idea that natural selection can drive repeatable outcomes, informing models of evolutionary contingency and adaptation.^[20]

Homology, Analogy, and Homoplasy

In evolutionary biology, homology refers to structural, developmental, or genetic similarities among organisms that are derived from a shared common ancestor.^[24] For instance, the forelimbs of vertebrates—such as the arms of humans, wings of bats, and flippers of whales—exhibit homologous bone structures, including the humerus, radius, and ulna, reflecting their inheritance from a common tetrapod ancestor despite diverse functions.^[25] This concept, originally articulated by Richard Owen in the 19th century and refined by Charles Darwin, underscores shared evolutionary history rather than functional adaptation alone.^[24] In contrast, analogy describes similarities in form or function that arise independently through convergent evolution, without common ancestry.^[26] A classic example is the wings of bats (mammals) and insects (arthropods), which both enable flight but evolved separately; bat wings are modified mammalian forelimbs, while insect wings derive from thoracic outgrowths, resulting in superficially similar but structurally distinct adaptations to aerial locomotion.^[26] Analogies highlight how similar environmental pressures can drive parallel functional solutions across distant lineages. Homoplasy encompasses a broader category of similarities not attributable to common descent, including analogies as well as other independent evolutionary origins.^[27] It is subdivided into convergence, where distantly related taxa evolve similar traits via different genetic or developmental pathways (e.g., streamlined body shapes in sharks and dolphins), and parallelism, where closely related taxa achieve similarity through comparable genetic mechanisms from a recent common ancestor (e.g., similar fin modifications in related fish species).^[27] These subtypes of homoplasy illustrate the recurrent nature of evolutionary innovation under shared selective pressures.^[28] Detecting homology versus homoplasy poses significant challenges, particularly in the fossil record where soft tissues and developmental data are often absent, leading to ambiguities in interpreting structural similarities as inherited or independently derived.^[29] For example, incomplete fossil preservation can obscure whether a trait like a streamlined skull in ancient marine reptiles represents homology with modern counterparts or homoplasy due to aquatic adaptation.^[30] In cladistics, distinguishing these is essential for constructing accurate phylogenetic trees, as homoplasy can inflate similarity metrics and mislead branching patterns if mistaken for homology.^[28] Quantifying homoplasy indices, such as the consistency index in parsimony analyses, helps mitigate these issues by measuring how much character conflict arises from independent origins.^[31] Theoretically, homologies provide key evidence for reconstructing ancestry and evolutionary relationships, anchoring the comparative method in biology.^[26] Conversely, analogies and homoplasies emphasize the power of natural selection to produce adaptive convergence, revealing how evolution can repeatedly solve similar ecological challenges without shared history.^[32] This distinction not only clarifies phylogenetic signals but also informs broader understandings of evolutionary constraints and opportunities.^[27]

Atavism and Reversion

Atavism refers to the reappearance of a trait in an individual that was characteristic of a distant ancestor but has been lost in the evolutionary lineage leading to the modern species. This phenomenon manifests as the sudden emergence of ancestral features, such as morphological structures or behaviors, that are not typically expressed in contemporary members of the species. Reversion, closely related but often distinguished in genetic contexts, describes the reactivation of dormant or suppressed genes that restore an ancestral phenotype, typically through alterations in gene regulation rather than de novo mutations.^[33] The mechanisms underlying atavism and reversion primarily involve disruptions in developmental regulation, including mutations in cis-regulatory elements that control gene expression or epigenetic modifications such as DNA methylation and histone acetylation, which can silence or unsilence ancestral alleles. These processes uncover latent genetic information preserved in the genome, allowing the expression of traits that were evolutionarily suppressed, without requiring the evolution of new adaptive variants. For example, changes in the regulatory regions of Hox genes or other developmental pathways can lead to the partial or full revival of ancestral forms during embryogenesis.^[34] Unlike adaptive evolution, these events are not driven by current selective pressures but by stochastic genetic or epigenetic variations that bypass evolutionary loss.^[35] Prominent examples illustrate these concepts across species. In humans, the occasional formation of a rudimentary tail in newborns represents an atavism, echoing the tailed condition of early mammalian ancestors, and is an extremely rare congenital condition, with fewer than 40 cases of true human tails reported in the medical literature.^[36] Polydactyly, the presence of extra digits, is another human atavism potentially linked to the polydactylous limbs of Devonian tetrapods, arising from mutations in genes like SHH that alter limb patterning.^[35] In birds, which lost teeth over 100 million years ago, experimental or spontaneous reactivation of dental genes can produce tooth-like structures, as seen in chick mutants where regulatory shifts restore odontogenic potential from archosaurian ancestors.^[37] Atavism and reversion differ fundamentally from convergent evolution, as they entail the re-expression of ancestral genetic elements rather than the independent origination of similar traits in distantly related lineages under parallel environmental demands. This distinction highlights atavism as a form of phylogenetic throwback, revealing conserved developmental modules, whereas convergence involves novel genetic solutions to analogous problems.^[38]

Underlying Mechanisms

Selective Pressures Driving Convergence

Selective pressures driving convergent evolution arise from environmental and ecological challenges that impose similar demands on distantly related lineages, favoring the independent evolution of analogous traits to enhance survival and reproduction. These pressures can be broadly categorized into abiotic factors, such as climate extremes, temperature fluctuations, and physical habitat constraints, and biotic factors, including predation, competition for resources, and mutualistic interactions. Abiotic pressures, like arid conditions or high-altitude hypoxia, often select for physiological adaptations that mitigate environmental stress across taxa, while biotic pressures, such as herbivory or interspecific competition, drive behavioral or morphological solutions to exploit shared resources or evade threats. For instance, in marine environments, the need to evade predators has led to the convergent development of streamlined body forms in unrelated fish and cetacean lineages under similar hydrodynamic selective forces.^[39]^[40]^[41] Ecological niches play a pivotal role in promoting convergence by presenting comparable selective regimes to organisms in similar habitats, even if geographically separated. When unrelated species occupy analogous niches—such as open aquatic environments or nutrient-poor soils—they face overlapping challenges that lead to parallel adaptive solutions, demonstrating how habitat structure filters evolutionary possibilities. A classic example is the convergent evolution of succulent stems and reduced leaves in cacti (family Cactaceae) of the Americas and euphorbias (genus Euphorbia) in African deserts, both responding to water scarcity and intense solar radiation by evolving water-storage tissues and protective spines to minimize transpiration and deter herbivores. This pattern underscores how shared ecological contexts, like desert biomes, constrain trait evolution toward efficient resource conservation.^[42]^[43]^[44] Convergent evolution serves as compelling evidence for the predictability of adaptive outcomes within constrained evolutionary landscapes, where limited viable phenotypic solutions exist under specific pressures. Rather than random trajectories, repeated convergence across lineages suggests that adaptive peaks on the fitness landscape are few and ecologically dictated, making evolution more deterministic in response to uniform selective environments. Studies of Anolis lizards on Caribbean islands, for instance, reveal how ecomorphs—distinct body plans tied to habitat use—re-evolve independently on different islands, indicating that structural and functional constraints channel adaptation toward repeatable forms. This predictability is heightened in extreme or uniform habitats, where selection strongly favors a narrow set of optimal traits.^[45]^[46] The degree of convergence is modulated by the intensity of selective pressures and the availability of genetic variation within populations. Stronger selection, such as in rapidly changing or harsh environments, accelerates convergence by rapidly fixing advantageous alleles, leading to more precise phenotypic matches across lineages. Conversely, weaker or fluctuating pressures may permit greater variation, resulting in partial rather than complete convergence. Genetic variation acts as a prerequisite, enabling populations to access pre-existing or mutable elements that align with selective demands; lineages with higher standing variation often exhibit more pronounced convergence due to faster adaptive responses. These factors collectively determine whether convergence manifests as superficial similarity or deep structural homology in function.^[40]^[47]^[48]

Genetic and Molecular Bases

Convergent evolution at the genetic level often arises from diverse mutational mechanisms that independently produce similar phenotypic outcomes in unrelated lineages. Point mutations, which alter single nucleotides, can lead to parallel amino acid substitutions in orthologous genes, thereby converging on functional similarities; for instance, such mutations have been documented in various adaptive traits across species. Gene duplications provide another pathway, allowing one copy to evolve new functions while the other maintains the original role, facilitating convergence without loss of essential functions. Regulatory shifts, particularly in cis-regulatory elements of non-homologous genes, enable tissue-specific expression changes that mimic convergent phenotypes, as seen in cases where different genes are co-opted for analogous developmental roles. These mechanisms highlight how genetic changes can be phylogenetically conserved, with closely related species more likely to reuse similar genetic solutions due to shared ancestry. Developmental pathways impose significant constraints that channel evolution toward convergent outcomes, limiting the range of possible genetic solutions to adaptive challenges. These pathways, governed by conserved gene regulatory networks, predispose certain mutations to produce similar morphological or physiological results across distantly related taxa, as the underlying genetic architecture biases evolutionary trajectories. For example, shared Hox gene clusters can direct body plan modifications in analogous ways, even when triggered by independent selective pressures. Such constraints underscore that convergence is not random but guided by the inherent structure of developmental systems, which filter genetic variation to favor repeatable solutions. Specific examples illustrate these genetic bases in action. Independent point mutations in opsin genes have driven convergent adaptations in visual sensitivity; in cichlid fishes, recurrent substitutions in the SWS2 opsin gene have shifted spectral tuning for color vision in different lake populations, enabling similar ecological niches. More recently, research has revealed how new genes form through the repurposing of ancestral gene fragments combined with de novo coding regions, as observed in the convergent evolution of antifreeze proteins in unrelated fish lineages, where each independently assembled near-identical sequences from fragmented ancestral elements. These findings demonstrate the creative potential of genomic rearrangements in generating novel functions for convergence. Standing genetic variation plays a crucial role in facilitating rapid convergent evolution by providing pre-existing alleles that can be selected upon when environmental pressures arise. In spatially structured populations, such variation allows multiple loci to respond concurrently to similar selective challenges, promoting parallel genetic shifts without relying solely on new mutations. This mechanism is particularly evident in geographic adaptations, where standing variants enable swift convergence across isolated subpopulations facing analogous conditions.

Examples at the Molecular Level

Protein Structures and Functions

Convergent evolution at the protein level manifests in the independent development of similar three-dimensional structures and functions in proteins from distantly related organisms, driven by shared selective pressures for efficient catalysis or molecular recognition. This phenomenon is particularly evident in enzymes where unrelated lineages evolve analogous folds or active sites to perform comparable biochemical roles, highlighting the constraints imposed by physicochemical principles on protein architecture. Such convergence underscores how functional demands can override phylogenetic history, leading to structural similarities without shared ancestry. A prominent example of tertiary structure convergence occurs in serine proteases, where proteins from eukaryotic and prokaryotic lineages independently fold into similar three-dimensional shapes to enable peptide bond hydrolysis. The eukaryotic chymotrypsin and the bacterial subtilisin, despite lacking sequence homology and belonging to different clans, both adopt a catalytic triad consisting of serine, histidine, and aspartate residues arranged in a geometry that facilitates nucleophilic attack on substrates. This independent evolution of the chymotrypsin-like fold in eukaryotes and the subtilisin-like fold in bacteria illustrates how selective pressures for proteolytic efficiency can drive parallel structural solutions across vast evolutionary distances.^[49]^[50]^[51] Active site evolution further exemplifies convergence, with unrelated proteases developing similar catalytic mechanisms to achieve substrate specificity and reaction efficiency. In serine proteases from bacteria and eukaryotes, the active sites converge on a charge-relay system where the histidine acts as a general base to deprotonate the serine nucleophile, enabling a common acyl-enzyme intermediate formation despite divergent overall folds. This mechanistic similarity, observed in clans such as the chymotrypsin and subtilisin families, demonstrates how functional imperatives for proton transfer and stabilization of transition states lead to recurrent solutions in enzyme design.^[49]^[52] Specific instances of protein convergence include the insulins produced by fish-hunting cone snails (Conus spp.) and fish themselves, where the snail venom insulin evolves structural features akin to piscine insulins to disrupt glucose homeostasis and induce hypoglycemic shock in prey. These venom insulins, which lack the C-peptide of typical signaling insulins, exhibit sequence and structural similarities to fish insulins, such as conserved disulfide bonds and receptor-binding motifs, allowing the snail's toxin to mimic host hormones despite the molluscan and vertebrate lineages diverging over 500 million years ago.^[53]^[54] Another case involves ferrous iron (Fe²⁺) transporters of the ZIP/IRT1 family, which have evolved independently at least twice in green plants to facilitate iron uptake under low-availability conditions. In land plants like Arabidopsis thaliana, IRT1 transporters mediate high-affinity Fe²⁺ import at the root plasma membrane, while in chlorophyte algae such as Chlamydomonas reinhardtii, deeply divergent ZIP proteins perform an analogous role, both featuring similar transmembrane helices and metal-binding histidines despite lacking close homology. This dual evolution reflects convergent adaptation to iron-scarce aquatic and terrestrial environments within the Viridiplantae clade.^[55] Convergence is also apparent in the Na⁺,K⁺-ATPase α-subunit, where insects feeding on cardenolide-containing plants have independently acquired mutations conferring resistance to these cardiotonic steroids, which otherwise inhibit the pump's ion transport function. Across diverse orders including Lepidoptera, Coleoptera, and Hemiptera, substitutions such as N122H and Q111V/T at the steroid-binding site reduce ouabain sensitivity by over 1,000-fold, enabling survival on toxic hosts like milkweeds; these changes have arisen convergently in at least 18 species spanning 300 million years of insect evolution.^[56] Recent advances in 2025 have enabled lab-induced protein convergence through the T7-ORACLE system, an orthogonal replication platform that accelerates continuous evolution in Escherichia coli to generate "super-proteins" with enhanced functions. By hypermutating target genes at rates up to 100,000 times faster than natural evolution, T7-ORACLE has evolved β-lactamase variants with 5,000-fold increased activity and expanded substrate scope, demonstrating how directed selection can converge unrelated protein sequences toward optimal structures mimicking natural convergent outcomes. This tool highlights the potential to engineer convergent protein architectures for therapeutic applications, bridging evolutionary biology and synthetic design.^[57]

Nucleic Acids and Regulatory Elements

Convergent evolution at the nucleic acid level manifests through the independent development of similar sequence motifs in non-homologous genes, enabling analogous regulatory functions without shared ancestry. For instance, in arthropods, distinct Hox genes have independently acquired similar cis-regulatory motifs that repress abdominal leg development, illustrating how non-homologous sequences can converge to pattern body plans in parallel lineages.^[58] This sequence convergence often involves short, functional DNA elements that bind transcription factors, allowing unrelated genes to respond similarly to developmental cues. Regulatory evolution further exemplifies convergence when alterations in promoters and enhancers independently yield comparable gene expression patterns across taxa. In paleognathous birds, which have experienced multiple independent losses of flight, non-coding regulatory regions associated with limb development pathways exhibit parallel sequence changes more frequently than protein-coding genes, driving analogous reductions in forelimb expression.^[59] Similarly, in Drosophila species, independent lineages have accumulated convergent mutations in enhancer regions of the yellow gene, resulting in parallel pigmentation patterns through shared cis-regulatory architecture.^[60] Specific examples highlight this phenomenon in adaptive contexts. Antibiotic resistance genes in bacteria, such as those in Klebsiella pneumoniae, have evolved convergently through independent mutations in non-homologous regulators like tsx and albA, conferring resistance to distinct antibiotics via similar efflux or modification mechanisms.^[61] In plants, miRNA binding sites for stress responses show convergence; for example, mangroves from different lineages independently upregulate conserved miRNAs like miR396 under salt stress, enhancing tolerance through targeted degradation of growth regulators.^[62] Non-coding RNAs also demonstrate convergent evolution in defense pathways. Small RNAs, including siRNAs and piRNAs, have independently evolved in bacteria and eukaryotes to target invading nucleic acids, with convergent sequence motifs in bacterial ncRNAs enabling parallel activation of toxin-antitoxin systems against phages.^[63] In plants, antisense non-coding transcripts have convergently emerged to prime host genes for stress responses, as seen in divergent species where similar RNA structures enhance pathogen defense by modulating chromatin accessibility.^[64]

Pathway and Network Convergence

Pathway convergence in evolution occurs when distinct genetic lineages independently develop similar biochemical pathways that produce equivalent metabolic outputs, often through alternative genes or mechanisms rather than identical sequences. This phenomenon arises due to shared selective pressures that favor efficient solutions to environmental challenges, such as resource limitation or stress, allowing different genomic starting points to converge on functional equivalence. Network convergence extends this concept to interconnected systems, where gene regulatory modules or metabolic networks evolve modular structures that perform analogous roles, enhancing robustness and adaptability across taxa.^[65]^[66] A prominent example of pathway convergence is the C4 photosynthetic pathway, which has evolved independently over 60 times in angiosperms, including multiple origins in grasses (Poaceae) and sedges (Cyperaceae). In these lineages, the pathway spatially separates initial CO2 fixation and the Calvin cycle to concentrate CO2 around Rubisco, reducing photorespiration in hot, arid environments; grasses and sedges achieved this through distinct enzymatic recruitments and anatomical modifications, yet yield the same enhanced carbon fixation efficiency. Similarly, metabolic network convergence is evident in the independent evolution of modular architectures in bacterial and eukaryotic networks, where optimization under variable habitats leads to parallel increases in connectivity and functional partitioning, as seen in comparisons across distant microbial phyla.^[67]^[66] Recent advances from 2023 to 2025 have illuminated the genetic underpinnings of these convergences using computational approaches. For instance, evolutionary sparse learning models, applied to paired species with convergent traits, have identified shared predictive genetic features underlying complex adaptations like C4 photosynthesis in grasses and echolocation in bats and dolphins, revealing pathway-level overlaps in regulatory cascades despite divergent histories. A 2025 theoretical framework further proposes that pathway convergence prevalence increases with trait complexity and lineage divergence time, supported by analyses of genotype-phenotype maps showing high redundancy in genetic routes to phenotypes. These studies also underscore evolutionary constraints on network reconfiguration.^[68]^[65] The implications of pathway and network convergence emphasize evolution's modular nature, where interconnected systems enable repeatable innovation through diverse genetic paths, contrasting with the more constrained single-gene evolution. This underexplored domain, relative to protein-level studies, suggests that complex traits may exhibit higher predictability under uniform selection, informing synthetic biology and conservation by revealing resilient network motifs across biodiversity.^[65]

Examples in Animal Morphology and Physiology

Locomotion and Body Plans

Convergent evolution in locomotion and body plans manifests prominently in adaptations that enhance movement efficiency across diverse animal lineages facing similar environmental challenges. One striking example is the independent development of streamlined, fusiform body shapes in aquatic predators, which reduce drag and facilitate high-speed swimming. Sharks (chondrichthyans), ichthyosaurs (extinct marine reptiles), and dolphins (cetacean mammals) exemplify this convergence, evolving torpedo-like forms with dorsal fins, pectoral flippers, and caudal flukes despite their distant phylogenetic origins.^[69]^[70]^[71] These structures optimize hydrodynamic performance, allowing bursts of speed up to 20-30 m/s in some species, underscoring how selective pressures for predation and evasion drive parallel morphological solutions.^[72] Flight represents another arena of profound convergence, where unrelated vertebrate groups—pterosaurs, birds, and bats—evolved powered flight through distinct anatomical innovations. Pterosaurs, the first vertebrates to achieve flight around 225 million years ago, developed wings from elongated fourth digits supporting a patagium membrane.^[73] Birds, emerging about 150 million years ago, modified feathered forelimbs into rigid wings for aerodynamic lift, while bats, appearing later around 50-60 million years ago, utilized skin membranes stretched between elongated fingers.^[4]^[74] This tripartite convergence highlights flight's adaptive value for foraging and escape, with each group achieving comparable aerodynamic efficiencies despite fundamentally different skeletal and integumentary bases.^[75] Insect wings, evolving independently around 330 million years ago from gill-like appendages in ancestral arthropods, further illustrate functional parallelism in aerial locomotion, enabling diverse flight styles from hovering to gliding.^[4] In aquatic environments, convergent adaptations extend to appendage morphology for propulsion. Fish and cetaceans have independently evolved median and paired fins that generate thrust and stability during undulatory swimming, with cetacean flukes mirroring fish caudal fins in oscillatory motion despite originating from mammalian hindlimbs.^[76]^[77] Similarly, penguins (avian) and ichthyosaurs convergently developed paddle-like forelimbs for underwater "flight," where modified wings provide lift-based propulsion akin to aerial gliding, allowing speeds up to 10 m/s (36 km/h) in species such as the Gentoo penguin.^[77] These limb transformations reflect shared biomechanical demands for maneuvering in viscous fluids, independent of terrestrial ancestry.^[76] On land, convergent evolution shapes burrowing locomotion in subterranean mammals, where moles (Talpidae family) and golden moles (Chrysochloridae family) have parallel forelimb modifications despite belonging to separate placental orders—Eulipotyphla and Afrosoricida, respectively. Both groups feature hypertrophied humeri, reduced ulnae, and spade-like claws for rapid soil excavation, enabling tunnel digging at rates of up to 15 cm per minute.^[78]^[79] This morphology, absent in their common ancestors, arose under intense selection for fossorial lifestyles in soft soils, demonstrating how underground habitats impose consistent constraints on limb evolution.^[80]^[81]

Sensory Systems

Convergent evolution has profoundly shaped sensory systems in animals, leading to similar sensory adaptations in distantly related lineages facing comparable environmental challenges. These adaptations enhance detection of stimuli critical for survival, such as light, sound, electric fields, and chemical cues, often through independent genetic and developmental pathways.^[82] In vision, camera eyes represent a striking example of convergence between vertebrates and cephalopods. Vertebrates, including humans and fish, and cephalopods like octopuses and squids, independently evolved image-forming eyes with a single lens focusing light onto a retina, despite diverging over 500 million years ago. This similarity arises from shared functional demands for high-resolution vision in aquatic and terrestrial environments, though the eyes differ in structure—vertebrate retinas process light in the rear while cephalopod retinas do so in the front to avoid blind spots. Opsins, light-sensitive proteins, show parallel molecular evolution in these groups to tune visual pigments for specific wavelengths.^[83]^[84]^[82] Compound eyes, composed of numerous ommatidia for wide-field vision, have also converged in arthropod lineages, notably insects and crustaceans. These Pancrustacea share a common ancestor with compound eyes, but parallel refinements occurred independently in flying insects like dragonflies and aquatic crustaceans like mantis shrimp, optimizing for motion detection and color vision in diverse habitats. Fossil evidence from Cambrian radiodonts shows early compound eyes with large lenses, suggesting repeated optimization for predatory lifestyles across arthropod evolution.^[85]^[86] Echolocation, an acoustic sensory system for navigating in darkness, has evolved convergently in bats, cetaceans like dolphins, and birds such as oilbirds and swiftlets. Bats and dolphins, from mammals and cetaceans respectively, independently developed laryngeal echolocation using high-frequency sound pulses to map environments, supported by adaptations in the Prestin gene for enhanced cochlear function. In birds, oilbirds (Steatornis caripensis) and swiftlets (Aerodramus spp.) use simpler click-based echolocation in caves, with genetic convergence in hearing-related genes like those for auditory processing, distinct from mammalian pathways but driven by nocturnal foraging pressures.^[87]^[88]^[89] Electroreception, the ability to detect weak electric fields, illustrates convergence between elasmobranchs like sharks and teleost fishes such as knifefishes (Gymnotiformes) and elephantnose fish (Mormyridae). Sharks use ampullae of Lorenzini for passive electrolocation of prey bioelectricity, an ancient trait retained from early vertebrates. In contrast, weakly electric fishes independently evolved active electrolocation by generating electric organ discharges from modified muscle cells, with convergent modifications in sodium channel genes (e.g., Scn4aa) across South American and African lineages separated for over 100 million years. This sensory modality aids navigation and hunting in murky waters where vision fails.^[90]^[91] Olfactory systems show convergence in enhanced smell among unrelated mammals, exemplified by dogs (Canis familiaris) and elephants (Loxodonta africana). Dogs, as carnivorans, possess around 800 functional olfactory receptor (OR) genes, enabling acute scent detection for tracking, while elephants, as proboscideans, have over 2,000 OR genes, supporting long-distance chemical communication and social bonding. Phylogenomic analyses reveal adaptive evolution in OR gene families in both lineages, with positive selection on chemosensory genes independently expanding repertoire sizes to meet ecological needs like foraging and mate recognition, despite their divergence over 90 million years ago.^[92]

Physiological and Behavioral Adaptations

Convergent evolution has led to similar physiological adaptations for carnivory in distantly related mammalian predators, such as the extinct thylacine (Thylacinus cynocephalus) and the gray wolf (Canis lupus), where both developed comparable cranial and dental structures optimized for shearing flesh and bone-crushing despite their marsupial-placental divergence over 160 million years ago.^[93] These adaptations include elongated snouts, robust zygomatic arches, and carnassial-like teeth that facilitate efficient predation on similar prey, driven by analogous ecological pressures in temperate forest and grassland habitats.^[94] Such convergence extends to digestive physiology, with both species exhibiting high gastric acidity and short intestinal tracts suited for processing protein-rich diets, enabling effective nutrient extraction from vertebrate carcasses.^[95] In reproductive physiology, distantly related insects have independently evolved similar genitalia shapes to ensure species-specific mating and reproductive isolation, as seen in the diverse internal female reproductive structures of sepsid flies (Sepsidae).^[96] For instance, within this family, unrelated genera display convergent modifications like annular spermathecae and ventral receptacles that lock with male aedeagi, preventing interspecific hybridization while allowing rapid diversification.^[97] These genital architectures, often species-diagnostic, arise from sexual selection pressures favoring mechanical compatibility, resulting in lock-and-key mechanisms that promote reproductive success without genetic exchange between lineages.^[98] Behavioral adaptations, such as enhanced problem-solving intelligence, have converged in corvids (e.g., crows and ravens), octopuses, and primates, reflecting independent expansions of neural complexity under selective pressures for foraging and social navigation.^[99] Corvids and apes share cognitive abilities like tool use and causal reasoning, supported by analogous nidopallial and neocortical enlargements, despite avian-mammalian divergence.^[100] Similarly, cephalopods exhibit advanced learning and camouflage behaviors via distributed lobe systems, paralleling primate prefrontal expansions for executive function, as evidenced by comparable performance in puzzle-solving tasks across these taxa.^[101] Grasping behaviors facilitated by opposable thumbs represent another convergent trait, evolving independently in primates and certain marsupials like opossums (Didelphidae) to enhance arboreal manipulation of food and branches.^[102] In primates, this adaptation involves a flexible pollex with intrinsic musculature for precision grip, while in opossums, a similar opposable hallux and digit arrangement supports climbing and object handling, driven by shared selective demands in forested environments.^[102] This convergence underscores how biomechanical constraints favor thumb opposition for improved dexterity in non-avian therians. Insect mouthparts have convergently adapted for specialized feeding, particularly in herbivorous stream-dwelling species where scraping algae requires similar rasping structures across unrelated taxa.^[103] For example, ephemeropterans, plecopterans, and trichopterans exhibit parallel evolution of denticulate mandibles and maxillary brushes for biofilm grazing, optimizing nutrient intake from periphyton despite phylogenetic distances spanning ordinal boundaries.^[103] These modifications reduce wear on feeding appendages while maximizing efficiency in high-flow habitats, illustrating how hydrodynamic and dietary pressures drive morphological parallelism.^[104]

Examples in Plant Adaptations

Life History Strategies

In plant life history strategies, convergent evolution manifests prominently in the repeated emergence of annual life cycles from perennial ancestors, enabling rapid completion of growth and reproduction in response to predictable environmental stresses like seasonal drought. Desert annuals, such as those in the Asteraceae and Poaceae families prevalent in Mediterranean and arid regions, exhibit this syndrome by germinating en masse after winter rains, flowering quickly, and relying on long-lived seed banks to survive dry summers. This adaptation has evolved independently across numerous angiosperm lineages, with phylogenetic analyses revealing over 1,700 annual species in each of these families alone, underscoring the selective pressure of hot, dry climates. Similarly, unrelated tropical aquatics in basal angiosperm families like Hydatellaceae have converged on annual habits to exploit seasonal flooding in wetlands, demonstrating parallel evolutionary responses to ephemeral resource availability despite differing habitats from desert counterparts.^[105] Pollination syndromes provide another clear example of convergence in plant reproductive strategies, where floral traits adapt similarly to specific pollinators across phylogenetically distant lineages. Bat-pollinated (chiropterophilous) flowers, for instance, have evolved independently in Africa and the Americas, featuring convergent structures such as wide, upright orientations, pale or greenish petals for visibility in low light, copious nectar, and strong, fruity scents to attract nocturnal bats. In the Old World, African species like the baobab (Adansonia digitata in Bombacaceae) display these traits to facilitate pollination by fruit bats (Pteropodidae), while in the New World, unrelated plants such as the trumpet tree (Tabebuia in Bignoniaceae) exhibit analogous features for interactions with phyllostomid bats. This syndrome has evolved independently multiple times in both regions, with at least 51 independent origins across 66 families globally, highlighting how similar ecological niches drive parallel adaptations in reproductive timing and floral morphology.^[106]^[107] Seed dispersal mechanisms further illustrate convergence, with analogous fruit types evolving in distant plant lineages to exploit wind or animal vectors for propagation. For wind dispersal, plumed or winged achenes—lightweight structures that autorotate or catch air currents—have independently developed in families like Asteraceae (e.g., dandelions) and Apocynaceae (e.g., milkweeds), allowing efficient long-distance transport despite non-homologous origins. Animal-dispersed fruits, conversely, converge on fleshy, colorful forms like berries to entice vertebrates, as seen in the independent evolution of drupes in Rosaceae (e.g., strawberries) and Solanaceae (e.g., tomatoes), where ingestion and subsequent seed deposition via feces promote spatial separation from parent plants. These dispersal syndromes reflect adaptive responses to habitat fragmentation and pollinator availability, with phylogenetic reconstructions confirming multiple origins across angiosperms.^[108]^[109] Dormancy mechanisms in seeds represent a critical convergent strategy in fire-prone ecosystems, where persistent soil seed banks enable post-disturbance recruitment across unrelated lineages. Physical dormancy, often involving water-impermeable seed coats broken by fire heat or smoke, has evolved convergently in diverse families such as Fabaceae and Proteaceae, forming banks that can persist for decades until fire cues trigger mass germination in nutrient-rich, competitor-free ash beds. For example, in Mediterranean-type shrublands of California and South Africa, species like Ceanothus (Rhamnaceae) and Leucospermum (Proteaceae) independently developed hard-seededness, ensuring population persistence amid recurrent wildfires. This convergence is globally distributed in fire-adapted floras, with syntheses showing that such dormancy release synchronizes life cycles with disturbance regimes, enhancing survival in unpredictable environments.^[110]

Structural and Physiological Traits

One prominent example of convergent evolution in plant structural traits is the development of carnivorous mechanisms in unrelated lineages, enabling nutrient acquisition in nutrient-poor environments. Sundews (genus Drosera, Droseraceae) employ sticky, glandular trichomes that ensnare prey through mucilage secretion, a passive trap mechanism that has evolved independently in multiple genera within the family.^[111] In contrast, the Venus flytrap (Dionaea muscipula, also Droseraceae) features active snap traps with sensitive trigger hairs that rapidly close upon touch, representing a distinct structural innovation within the same family but driven by parallel selective pressures for rapid prey capture.^[112] Pitcher plants, found in diverse families such as Nepenthaceae (e.g., Nepenthes species) and Sarraceniaceae (e.g., Sarracenia species), have convergently evolved pitfall traps—tubular leaves filled with digestive fluid—that lure, drown, and dissolve insects, showcasing morphological convergence across angiosperm clades separated by over 100 million years of evolution.^[113] These trap structures, while functionally analogous, differ in glandular anatomy and prey retention strategies, highlighting how environmental nutrient scarcity has repeatedly favored carnivory.^[114] Convergent physiological adaptations are evident in alternative carbon fixation pathways, such as C4 and crassulacean acid metabolism (CAM) photosynthesis, which enhance water-use efficiency in arid or high-light environments. C4 photosynthesis, characterized by spatial separation of initial CO₂ fixation and the Calvin cycle in specialized leaf anatomy (Kranz anatomy), has evolved independently over 60 times, notably in grasses (Poaceae) like maize (Zea mays) and in eudicots such as Amaranthus species.^[115] CAM photosynthesis, involving temporal separation where CO₂ is fixed at night into malic acid and decarboxylated during the day, has arisen more than 30 times across lineages, including succulents in Crassulaceae (e.g., Kalanchoe species) and Orchidaceae (e.g., epiphytic orchids like certain Peperomia relatives).^[116] These pathways share biochemical modules, such as phosphoenolpyruvate carboxylase (PEPC) enzymes with convergent amino acid substitutions at key sites, but differ in anatomical implementation, demonstrating physiological convergence under similar abiotic stresses.^[117] Structural convergence extends to fruit morphology for seed dispersal, where fleshy berries have evolved repeatedly in unrelated clades to attract animal dispersers. In monocots, berries and other vertebrate-dispersed fleshy fruits have arisen at least 21 times, often in shaded understory habitats, as seen in Arecaceae (palms like Areca producing drupaceous berries), Araceae (e.g., Anthurium with berry-like infructescences), and Amaryllidaceae (e.g., Hippeastrum berries).^[118] Similar fleshy fruits occur convergently in eudicots, such as berries in Solanaceae (e.g., tomatoes, Solanum lycopersicum) and Ericaceae (e.g., blueberries, Vaccinium species), facilitating endozoochory by birds and mammals across distantly related lineages separated by deep phylogenetic divergences.^[118] This repeated evolution underscores the selective advantage of nutrient-rich, colorful pericarps in promoting seed scatter, with net venation in leaves often co-evolving as a correlated trait in forest-adapted plants.^[118] Recent advances reveal convergent ultrastructural features in secondary cell walls across seed plant lineages, providing mechanical support for upright growth and vascular function. In gymnosperms and angiosperms, secondary cell walls exhibit similar multilayered architectures rich in cellulose microfibrils, hemicelluloses, and lignins, enabling wood formation despite independent evolutionary origins post-Permian.^[119] A 2023 review highlights convergent biosynthesis of syringyl lignins—key for wall rigidity—via distinct enzymatic pathways in lycophytes (e.g., Selaginella) and seed plants, with shared monolignol polymerization mechanisms reinforcing vascular tissues.^[119] These ultrastructures, visualized through advanced imaging like transmission electron microscopy, show parallel alignments of polysaccharides for tensile strength, illustrating how biomechanical demands have driven homologous wall compositions in diverse seed plant clades.^[120]

Methods for Detecting Convergence

Pattern-Based Approaches

Pattern-based approaches to detecting convergent evolution rely on analyzing observable phenotypic similarities across taxa, inferring convergence when such similarities occur in distantly related lineages despite differing evolutionary histories. These methods emphasize morphological, anatomical, or ecological patterns without invoking underlying genetic or developmental mechanisms, often using quantitative metrics to assess the degree of similarity relative to expected divergence. By mapping traits onto phylogenetic frameworks, researchers identify instances where traits evolve independently, highlighting adaptation to similar environmental pressures.^[121] In comparative morphology, convergence is quantified through similarity indices that evaluate how closely related or unrelated taxa occupy similar positions in multidimensional trait spaces. For example, the Wheatsheaf index measures the strength of convergence by calculating the overlap in multivariate trait vectors among focal taxa compared to a broader background clade, where values closer to 1 indicate stronger convergence as traits align more tightly than expected under random evolution. This metric, applied to datasets like cranial shapes in mammals or limb proportions in birds, allows for statistical testing of whether observed similarities exceed phylogenetic expectations, revealing patterns like the independent evolution of streamlined bodies in aquatic vertebrates.^[121]^[122] Analysis of the fossil record identifies convergence via homoplasy, where similar traits appear multiple times on phylogenetic trees, indicating independent origins rather than shared ancestry. Parsimony-based reconstructions on fossil phylogenies compute indices like the consistency index (CI), which quantifies homoplasy by comparing the minimum number of evolutionary changes required against the observed trait distributions; low CI values signal high homoplasy, as seen in the repeated evolution of saber-like teeth in extinct carnivores across disparate lineages. Such approaches, integrated with stratigraphic data, help trace temporal patterns of convergence in paleontological datasets, such as the homoplastic development of flight in pterosaurs, birds, and bats.^[123] Ecological correlations further support pattern-based inference by mapping morphological traits to environmental niches, a field known as ecomorphology. In lizards, for instance, Anolis species on Caribbean islands have convergently evolved distinct ecomorphs—such as trunk-ground or twig specialists—with matching limb lengths, body sizes, and toe pad areas adapted to perch diameter and habitat structure, despite phylogenetic distances between island radiations. These patterns are assessed by correlating trait clusters with niche variables, demonstrating how selection for locomotion efficiency drives morphological parallelism across communities. Despite their utility, pattern-based approaches face limitations, including subjective selection of traits that may overlook subtle variations or emphasize conspicuous features, potentially inflating perceived convergence. Additionally, these methods do not address genetic underpinnings, risking conflation of convergence with parallelism or reversals when phylogenetic resolution is coarse. Brief reference to phylogenetic trees aids in contextualizing homoplasy but requires caution to avoid overinterpretation without mechanistic validation.^[124]

Process-Based and Phylogenetic Methods

Process-based and phylogenetic methods for detecting convergent evolution emphasize mechanistic underpinnings and evolutionary simulations, contrasting with descriptive pattern-based approaches by validating convergence through models of selection and shared ancestry. These methods leverage phylogenetic trees to test for excess homoplasy or repeated shifts toward similar adaptive regimes, often using continuous or discrete trait data to infer whether observed similarities arise from independent selective pressures rather than shared descent.^[125] Phylogenetic comparative methods, such as SURFACE, employ Ornstein-Uhlenbeck (OU) models to detect convergence by identifying regime shifts on a phylogeny where multiple lineages evolve toward the same phenotypic optimum, indicating stabilizing selection. SURFACE applies stepwise Akaike Information Criterion (AIC) in two phases: first partitioning the tree into selective regimes based on trait data, then grouping regimes that converge on shared optima, thereby quantifying excess homoplasy beyond neutral expectations. For discrete traits, methods that extend speciation-extinction models test for correlated shifts in states across branches, revealing convergence when lineages independently transition to analogous adaptive states under similar ecological pressures. These approaches have been applied to diverse systems, such as anole lizard ecomorphs, where SURFACE identified convergent body shapes in independent radiations.^[126]^[127] Molecular clocks and simulation-based methods model selective regimes to predict and detect convergence by simulating sequence evolution under varying rates of substitution tied to environmental pressures. Relaxed-clock models, which allow rate heterogeneity across lineages, estimate divergence times while testing for accelerated evolution in convergent lineages, such as in thermogenic adaptations where parallel amino acid substitutions disrupt circadian clocks in unrelated mammals. Simulations generate null distributions of trait or sequence evolution under Brownian motion or OU processes, comparing observed convergence to expectations under neutrality; for instance, forward simulations of selective sweeps can reconstruct how similar genetic architectures emerge in isolated populations facing analogous challenges. These tools integrate fossil-calibrated trees to assess whether rate shifts align with ecological transitions, providing probabilistic evidence for convergence.^[128]^[129] Recent advances as of 2025 incorporate machine learning and multi-omics integration to refine detection of convergence at genetic and pathway levels. Evolutionary sparse learning (ESL) uses supervised techniques, such as least absolute shrinkage and selection operator (LASSO) regression on paired genomic contrasts, to identify sparse sets of loci underlying convergent traits across distant taxa, revealing shared genetic bases like regulatory elements in independently evolved venom systems. MyESL software implements this for molecular evolution, prioritizing high-impact variants while penalizing noise. Simultaneously, pathway-level analyses synthesize gene network data to quantify convergence in complex traits, modeling how divergence time and genetic complexity constrain parallel pathway recruitment; for example, theoretical frameworks predict higher pathway reuse in recently diverged lineages with simpler traits. These methods bridge phylogenetics with functional genomics, enhancing resolution for polygenic convergence.^[68]^[130]^[65] Process-based measures draw on fitness landscape models to evaluate convergence by mapping genotypes to adaptive peaks, where multiple lineages independently ascend similar peaks despite rugged terrains shaped by epistasis. These models simulate evolutionary walks on multidimensional landscapes, using metrics like accessibility (proportion of viable paths to peaks) to test if convergent phenotypes occupy high-fitness attractors reachable via distinct mutational routes. In protein evolution, statistical inference from deep mutational scanning data reconstructs landscapes, showing how epistatic interactions channel convergence toward shared structural motifs, as in antibiotic resistance enzymes. Such approaches emphasize predictive power, forecasting convergence when landscapes exhibit multiple peaks under parallel selective regimes, and have illuminated cases like hemoglobin adaptations in high-altitude vertebrates.^[131]^[132]^[133]

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Jun 1, 2022 · ... convergent evolution of numerous phenotypes (1, 2). The two most ... Samanta, Unique patterns of transcript and miRNA expression in the ...
[93]
Phylogenomic analyses reveal convergent patterns of adaptive ...
The evidence of adaptive evolution of olfactory and chemosensory genes in the elephant lineage is congruent with a range of experimental and field studies ...
[94]
Ontogenetic origins of cranial convergence between the extinct ...
Jan 8, 2021 · The extinct marsupial thylacine and placental gray wolf represent one of the most extraordinary cases of convergent evolution in mammals.
[95]
Widespread cis-regulatory convergence between the extinct ...
The extinct marsupial Tasmanian tiger, or thylacine, and the eutherian gray wolf are among the most widely recognized examples of convergent evolution in ...
[96]
Genome of the Tasmanian tiger provides insights into the evolution ...
Dec 11, 2017 · In contrast, the thylacine and canids possess highly convergent phenotypes while also sharing one of the deepest evolutionary splits in mammals.
[97]
Unlocking the "Black box": internal female genitalia in Sepsidae ...
We describe the ectodermal parts of the female reproductive tract for 41 species representing 21 of the 37 described genera and define 19 morphological ...
[98]
internal female genitalia in Sepsidae (Diptera) evolve fast and are ...
Sep 10, 2010 · We present the first comparative study of the internal reproductive system of Sepsidae. We test the species-specificity of the female genitalia by comparing ...
[99]
Unlocking the "Black box": internal female genitalia in Sepsidae ...
Sep 10, 2010 · Convergent evolution of female reproductive structures in ... Huber BA: Mating positions and the evolution of asymmetric insect genitalia.Sister Species Comparisons · Discussion · The Ventral Receptacle
[100]
Convergent evolution of complex brains and high intelligence - PMC
Primates. High intelligence that characterizes monkeys and apes, including humans, is closely linked to the size and neuronal complexity of the isocortex [28,55] ...
[101]
Convergent minds: the evolution of cognitive complexity in nature
Apr 21, 2017 · The mentality of crows: convergent evolution of intelligence in corvids and apes. Science 306, 1903–1907. ( 10.1126/science.1098410) [DOI] ...
[102]
Review Grow Smart and Die Young: Why Did Cephalopods Evolve ...
Evidence collected in monkeys and apes led to specific hypotheses about the conditions favouring the emergence of intelligence. Firstly, primate intelligence ...
[103]
Polyphyly - an overview | ScienceDirect Topics
Examples are: the wing of a bat and the wing of a bird; the opposable thumb of opossums and primates; and the beak of a platypus and the beak of a bird.
[104]
Striking convergence in the mouthpart evolution of stream‐living ...
This scanning-electron microscopic study demonstrates the convergent evolution of the mouthparts of various herbivorous stream animals (insects from ...
[105]
a critical problem in stream animals feeding on epilithic algae
Sep 1, 1990 · 2009. TLDR. This scanning-electron microscopic study demonstrates the convergent evolution of the mouthparts of various herbivorous stream ...
[106]
Convergent evolution of the annual life history syndrome ... - Frontiers
The evolution of a convergent trait involving the same or similar mechanisms. Mechanisms can be defined broadly as sub-traits, developmental pathways, genes, ...
[107]
Revising the global biogeography of annual and perennial plants
Nov 8, 2023 · 4), providing evidence for convergent evolution of annual life cycles in hot and dry conditions. We next tested the life cycle and climate ...
[108]
The evolution of bat pollination: a phylogenetic perspective - PMC
Sep 29, 2009 · This review summarizes adaptations in bats and plants that facilitate this interaction and discusses the evolution of bat pollination from a plant phylogenetic ...
[109]
A global test of the pollination syndrome hypothesis - Oxford Academic
Feb 14, 2009 · 'Pollination syndromes' are suites of phenotypic traits hypothesized to reflect convergent adaptations of flowers for pollination by ...
[110]
The dispersal syndrome hypothesis: How animals shaped fruit traits ...
Mar 30, 2020 · Animal-dispersed plants produce an enormous variety of fruit and seed phenotypes, and are often exploited by a wide variety of frugivorous taxa ...
[111]
Convergent evolution of seed dispersal by ants, and phylogeny and ...
In all cases studied to date, the primary function of elaiosomes is to attract ants and elicit the transport of the seed to the nest by the ants.
[112]
Fire‐released seed dormancy ‐ a global synthesis - PMC
We propose that fireprone ecosystems create ideal conditions for the selection of seed dormancy as fire provides a mechanism for dormancy release.
[113]
Carnivorous plant evolution: is a killer defense always the best option?
Dec 20, 2023 · This lineage includes the Venus flytrap (Dionaea muscipula), with its bilobed, touch-sensitive snap-trap leaves, as well as sundews of the ...
[114]
Carnivorous Plants: Phylogeny and Structural Evolution - Science
WILLIAMS, S.E., LEAF CLOSURE IN THE VENUS FLYTRAP - AN ACID ... Convergence in carnivorous pitcher plants reveals a mechanism for composite trait evolution.<|separator|>
[115]
How plants evolved into carnivores - Nature
Feb 6, 2017 · Venus fly-traps ensnare their prey, whereas bladderworts immobilize their victims using tiny suction cups. In his 1875 book Insectivorous Plants ...
[116]
The digestive systems of carnivorous plants - PMC - PubMed Central
A comparison of the forms and functions of digestive and absorptive glands in carnivorous plants sheds light on their convergent evolution. The carnivorous ...
[117]
Convergent molecular evolution of phosphoenolpyruvate ... - NIH
Jan 20, 2022 · Based on the phylogenetic tree of the PEPC gene family, we detected four convergent evolution sites of PEPC in C4 species but none in CAM ...
[118]
Evolution of CAM and C4 Carbon‐Concentrating Mechanisms
One of the more remarkable examples of evolutionary convergence is selection for CAM photosynthesis in both desert succulents and aquatic macrophytes (Keeley ...
[119]
[PDF] Shared origins of a key enzyme during the evolution of C4 and CAM ...
Mar 17, 2014 · CAM and C4 photosynthesis are two key plant adaptations that have evolved independently multiple times, and are.
[120]
Repeated evolution of net venation and fleshy fruits among ...
Concerted convergence (Givnish & Sytsma 1997) is the independent rise of two or more traits that are genetically, developmentally and functionally unrelated in ...
[121]
Woody plant cell walls: Fundamentals and utilization
Woody plant cell walls are a major carbon sink, with thick walls forming xylem/wood for support and water transport, and are a major carbon sink.
[122]
An updated perspective: what genes make a tree a tree?
Oct 23, 2025 · What genetic changes lead to insular woodiness, and are t here cases of convergent evolution? ... (2019) Secondary cell wall b iosynthesis.
[123]
A simple measure of the strength of convergent evolution - Arbuckle
Apr 17, 2014 · Convergent evolution, the independent occurrence of phenotypic similarity, is a widespread and common phenomenon.
[124]
Analyzing Convergent Evolution Using the Wheatsheaf Index in R
Feb 12, 2015 · In effect, the Wheat-sheaf index detects stronger convergence as the focal species diverge more in phenotypic space from the non-focal species ...
[125]
Homoplasy: The Result of Natural Selection, or Evidence of Design ...
Homoplasy from convergence, parallelism, and reversal is common, and its ubiquity creates difficulties in phylogenetic analysis.
[126]
What does convergent evolution mean? The interpretation of ...
Dec 6, 2015 · Convergent evolution is central to the study of life's evolutionary history. Researchers have documented the ubiquity of convergence and ...
[127]
Phylogenetic comparative methods - PubMed
May 8, 2017 · Phylogenetic comparative methods (PCMs) enable us to study the history of organismal evolution and diversification.Missing: detecting convergent SURFACE PhySSE
[128]
[PDF] SURFACE: detecting convergent evolution from comparative data by ...
SURFACE uses the Ornstein-Uhlenbeck model and stepwise AIC to identify convergent evolution using continuous traits and a phylogenetic tree. It has forward and ...
[129]
Detecting convergent evolution from comparative data by fitting ...
Aug 8, 2025 · We present a method, ' SURFACE ', that uses the Ornstein‐Uhlenbeck stabilizing selection model to identify cases of convergent evolution ...<|control11|><|separator|>
[130]
Convergent molecular evolution of thermogenesis and circadian ...
May 31, 2023 · The genetic mechanism underlying the suspension of a circadian clock in muskox remains unknown. Only 23 genes with convergent amino acid ...
[131]
Investigating the reliability of molecular estimates of evolutionary ...
May 10, 2022 · In this study, we simulate the evolution of molecular sequences under all three models of the link between speciation and rate of molecular ...
[132]
MyESL: A Software for Evolutionary Sparse Learning in Molecular ...
Evolutionary sparse learning uses supervised machine learning to build evolutionary models where genomic sites loci are parameters. It uses the Least Absolute ...
[133]
Adaptive Landscapes in the Age of Synthetic Biology
We focus on the underlying mechanisms that generate emergent properties such as epistasis, dominance, trade-offs and adaptive peaks.
[134]
Inferring protein fitness landscapes from laboratory evolution ...
We develop a statistical learning framework that models the evolutionary process and can infer the protein fitness landscape from multiple snapshots.
[135]
Epistasis and Adaptation on Fitness Landscapes - Annual Reviews
Nov 2, 2022 · Fitness landscapes, which are mappings of genotype or phenotype to fitness, capture the full extent and complexity of epistasis. Fitness ...Missing: convergent | Show results with:convergent<|control11|><|separator|>