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Large extinctions in an evolutionary model: the role of innovation and keystone species.

The causes of major and rapid transitions observed in biological macroevolution as well as in the evolution of social systems are a subject of much debate. Here we identify the proximate causes of crashes and recoveries that arise dynamically in a model system in which populations of (molecular) species coevolve with their network of chemical interactions. Crashes are events that involve the rapid extinction of many species, and recoveries the assimilation of new ones. These are analyzed and classified in terms of the structural properties of the network. We find that in the absence of large external perturbation, "innovation" is a major cause of large extinctions and the prime cause of recoveries. Another major cause of crashes is the extinction of a "keystone species." Different classes of causes produce crashes of different characteristic sizes.

Biological Evolution↗

Evidence for widespread reticulate evolution within human duplicons.

Approximately 5% of the human genome consists of segmental duplications that can cause genomic mutations and may play a role in gene innovation. Reticulate evolutionary processes, such as unequal crossing-over and gene conversion, are known to occur within specific duplicon families, but the broader contribution of these processes to the evolution of human duplications remains poorly characterized. Here, we use phylogenetic profiling to analyze multiple alignments of 24 human duplicon families that span >8 Mb of DNA. Our results indicate that none of them are evolving independently, with all alignments showing sharp discontinuities in phylogenetic signal consistent with reticulation. To analyze these results in more detail, we have developed a quartet method that estimates the relative contribution of nucleotide substitution and reticulate processes to sequence evolution. Our data indicate that most of the duplications show a highly significant excess of sites consistent with reticulate evolution, compared with the number expected by nucleotide substitution alone, with 15 of 30 alignments showing a >20-fold excess over that expected. Using permutation tests, we also show that at least 5% of the total sequence shares 100% sequence identity because of reticulation, a figure that includes 74 independent tracts of perfect identity >2 kb in length. Furthermore, analysis of a subset of alignments indicates that the density of reticulation events is as high as 1 every 4 kb. These results indicate that phylogenetic relationships within recently duplicated human DNA can be rapidly disrupted by reticulate evolution. This finding has important implications for efforts to finish the human genome sequence, complicates comparative sequence analysis of duplicon families, and could profoundly influence the tempo of gene-family evolution.

Computational Biology↗

The gospel of the fossil brain: Tilly Edinger and the science of paleoneurology.

Tilly Edinger (1897-1967) was a vertebrate paleontologist interested in the evolution of the central nervous system. By combining methods and insights gained from comparative neuroanatomy and paleontology, she almost single-handedly founded modern paleoneurology in the 1920s while working at the Senckenberg Museum in Frankfurt am Main. Edinger's early research was mostly descriptive and conducted within the theoretical framework of brain evolution formulated by O. C. Marsh in the late 19th century. Nevertheless, she became immediately known in 1929 after publishing an extensive review on "fossil brains." Reconstructing evolutionary history from the fossil record instead of from the comparative analysis of living forms allowed her to identify the sequence of neural innovations within several mammalian lineages. Anti-Jewish terrorism forced Edinger to leave Nazi Germany in 1939. After finding refuge first in England, she continued her career at Harvard's Museum of Comparative Zoology. There she documented the occurrence of gross neural correlates of specialized behavior in several vertebrate lineages, and identified parallel evolution in mammalian sulcation patterns. Her insight that neural innovations need not be "correlated" with either nonneural innovations or with evolutionary "success" led her to reject Marsh's theory of progressive increase in brain size over time and other "anthropocentric" understandings of brain evolution. Edinger's research, her insistence on a stratigraphic and evolutionary framework for interpretation, and her massive compilations of paleoneurological literature established her as the leading definer, practitioner, and chronicler of her field.

Brain↗

Molecular evolution of evolutionary novelties: the vagina and uterus of therian mammals.

Innovations are an integral part of the evolutionary process if we accept the fact that more complex organisms derived from anatomically simple ones. All major taxa are distinguished not only by their closer genealogical relatedness relative to other species but also by the possession of novel anatomical and physiological features. The question is whether the origin of these novel characters can be simply understood as adaptations, like all other phenotypic differences that arise by natural selection, or whether the origin of these characters requires more profound genetic changes. In this paper, we argue that innovations constitute a distinct class of evolutionary processes that require a research program complementary to the study of adaptation. The distinguishing feature of innovations is the origin of novel organ identity gene functions specific to the novel character. By implication, research into the origin of novel characters has to identify the developmental regulatory links that were involved in the evolution of these characters. We suggest that novel regulatory links will include the evolution of cis-regulatory elements as well as novel protein-protein interactions among transcription factor proteins. The latter hypothesis suggests that innovations should leave a trace in the evolution of the protein coding regions of transcription factor genes. We illustrate this idea with results on the evolution of HoxA-11 and HoxA-13 in the stem lineage of placental mammals. These genes are essential for female reproductive tract development and function. We show that, as predicted, these genes experience strong directional selection in the stem lineage of placental mammals and that these amino acid substitutions affect residues at the surface of the protein, consistent with their expected role in protein-protein interactions. We conclude that a careful analysis of sequence variation in developmental genes can aid in testing which developmental changes were instrumental in the origin of novel morphological characters.

Animals↗

Molecular phylogenetics of the Anolis onca series: a case history in retrograde evolution revisited.

Anoles of the Anolis onca series represent a dramatic case of retrograde evolution, exhibiting great reduction (A. annectens) and loss (A. onca) of the subdigital pads considered a key innovation for the evolutionary radiation of anoles in arboreal environments. We present a molecular phylogenetic analysis of these anoles and their closest known relatives (A. auratus, A. lineatus, A. meridionalis, and A. nitens) using new mitochondrial DNA sequence data from the ND2 gene, five tRNA genes (tRNA(Trp), tRNA(Ala), tRNA(Asn), tRNA(Cys), tRNA(Tyr)), the origin of light-strand replication, and a portion of the CO1 gene (1,446 aligned base positions, 612 parsimony informative). Our results confirm monophyly of the A. onca series and suggest an evolutionary separation of approximately 10 million years between A. annectens and A. onca. Evolution of subdigital structure in this series illustrates ectopic expression of developmental programs that replace flexible subdigital lamellae of the toepad with rigid, keeled scales resembling dorsal digital scales. Our phylogenetic results indicate that narrowing of the toepad in A. auratus evolved separately from toepad reduction in the A. onca series. Expansion of the subdigital lamellae along the phalanges in A. auratus appears to compensate constriction of lamellae by digital narrowing, maintaining greater climbing capability in this species. Toepad evolution in the lineage ancestral to A. auratus features changes of the same developmental modules as the A. onca series but in the opposite direction. Large molecular distances between geographic populations of A. auratus indicate that its derived toepad structure is at least 9 million years old.

Animals↗

Engineering proteins that bind, move, make and break DNA.

Recent protein engineering efforts have generated artificial transcription factors that bind new target DNA sequences and enzymes that modify DNA at new target sites. Zinc-finger-based transcription factors are favored targets for design; important technological advances in their construction and numerous biotechnological applications have been reported. Other notable advances include the generation of endonucleases and recombinases with altered specificities, made by innovative combinatorial and evolutionary protein engineering strategies. An unexpectedly high tolerance to mutation in the active sites of DNA polymerases is being exploited to engineer polymerases to incorporate artificial nucleotides or to display other, nonnatural activities.

DNA↗

Is retinoic acid genetic machinery a chordate innovation?

Development of many chordate features depends on retinoic acid (RA). Because the action of RA during development seems to be restricted to chordates, it had been previously proposed that the "invention" of RA genetic machinery, including RA-binding nuclear hormone receptors (Rars), and the RA-synthesizing and RA-degrading enzymes Aldh1a (Raldh) and Cyp26, respectively, was an important step for the origin of developmental mechanisms leading to the chordate body plan. We tested this hypothesis by conducting an exhaustive survey of the RA machinery in genomic databases for twelve deuterostomes. We reconstructed the evolution of these genes in deuterostomes and showed for the first time that RA genetic machinery--that is Aldh1a, Cyp26, and Rar orthologs--is present in nonchordate deuterostomes. This finding implies that RA genetic machinery was already present during early deuterostome evolution, and therefore, is not a chordate innovation. This new evolutionary viewpoint argues against the hypothesis that the acquisition of gene families underlying RA metabolism and signaling was a key event for the origin of chordates. We propose a new hypothesis in which lineage-specific duplication and loss of RA machinery genes could be related to the morphological radiation of deuterostomes.

Aldehyde Oxidoreductases↗

Macroevolution is more than repeated rounds of microevolution.

Arguments over macroevolution versus microevolution have waxed and waned through most of the twentieth century. Initially, paleontologists and other evolutionary biologists advanced a variety of non-Darwinian evolutionary processes as explanations for patterns found in the fossil record, emphasizing macroevolution as a source of morphologic novelty. Later, paleontologists, from Simpson to Gould, Stanley, and others, accepted the primacy of natural selection but argued that rapid speciation produced a discontinuity between micro- and macroevolution. This second phase emphasizes the sorting of innovations between species. Other discontinuities appear in the persistence of trends (differential success of species within clades), including species sorting, in the differential success between clades and in the origination and establishment of evolutionary novelties. These discontinuities impose a hierarchical structure to evolution and discredit any smooth extrapolation from allelic substitution to large-scale evolutionary patterns. Recent developments in comparative developmental biology suggest a need to reconsider the possibility that some macroevolutionary discontinuites may be associated with the origination of evolutionary innovation. The attractiveness of macroevolution reflects the exhaustive documentation of large-scale patterns which reveal a richness to evolution unexplained by microevolution. If the goal of evolutionary biology is to understand the history of life, rather than simply document experimental analysis of evolution, studies from paleontology, phylogenetics, developmental biology, and other fields demand the deeper view provided by macroevolution.

Biological Evolution↗

Theory and practice of parallel direct optimization.

Our ability to collect and distribute genomic and other biological data is growing at a staggering rate (Pagel, 1999). However, the synthesis of these data into knowledge of evolution is incomplete. Phylogenetic systematics provides a unifying intellectual approach to understanding evolution but presents formidable computational challenges. A fundamental goal of systematics, the generation of evolutionary trees, is typically approached as two distinct NP-complete problems: multiple sequence alignment and phylogenetic tree search. The number of cells in a multiple alignment matrix are exponentially related to sequence length. In addition, the number of evolutionary trees expands combinatorially with respect to the number of organisms or sequences to be examined. Biologically interesting datasets are currently comprised of hundreds of taxa and thousands of nucleotides and morphological characters. This standard will continue to grow with the advent of highly automated sequencing and development of character databases. Three areas of innovation are changing how evolutionary computation can be addressed: (1) novel concepts for determination of sequence homology, (2) heuristics and shortcuts in tree-search algorithms, and (3) parallel computing. In this paper and the online software documentation we describe the basic usage of parallel direct optimization as implemented in the software POY (ftp://ftp.amnh.org/pub/molecular/poy).

Animals↗

Divergent evolution of a structural proteome: phenomenological models.

We develop models of the divergent evolution of genomes; the elementary object of sequence dynamics is the protein structural domain. To identify patterns of organization that reflect mechanisms of evolution, we consider the individual genomes of many procaryote species, studying the arrangement of protein structural domains in the space of all polypeptide structures. We view the network of structural similarities as a graph, called the organismal Protein Domain Universe Graph (oPDUG); vertices represent types of structural domains and edges represent strong structural similarity. As observed before, each oPDUG is a highly nonrandom graph, as evidenced in the vertex degree distribution, which resembles a Pareto law (which has a power-law asymptotic). To explain this and other peculiar properties of the oPDUGs, we construct an evolving-graph model for the long-timescale evolutionary dynamics of oPDUGs, containing only divergent mechanisms of domain discovery. The model generates degree distributions (resembling Pareto laws) and clustering-coefficient distributions that are characteristic of the oPDUGs. In the infinite-graph limit, we analytically compute the exponent for specific biological parameters, as well as the complete phase diagram of the model, finding two distinct regimes of domain innovation dynamics. Thus, divergent evolutionary dynamics quantitatively explains the nonrandom organization of oPDUGs.

Bacterial Proteins↗

Analysis and improvement of fitness exploitation in XCS: bounding models, tournament selection, and bilateral accuracy.

The evolutionary learning mechanism in XCS strongly depends on its accuracy-based fitness approach. The approach is meant to result in an evolutionary drive from classifiers of low accuracy to those of high accuracy. Since, given inaccuracy, lower specificity often corresponds to lower accuracy, fitness pressure most often also results in a pressure towards higher specificity. Moreover, fitness pressure should cause the evolutionary process to be innovative in that it combines low-order building blocks of lower accurate classifiers, to higher-order building blocks with higher accuracy. This paper investigates how, when, and where accuracy-based fitness results in successful rule evolution in XCS. Along the way, a weakness in the current proportionate selection method in XCS is identified. Several problem bounds are derived that need to be obeyed to enable proper evolutionary pressure. Moreover, a fitness dilemma is identified that causes accuracy-based fitness to be misleading. Improvements are introduced to XCS to make fitness pressure more robust and overcome the fitness dilemma. Specifically, (1) tournament selection results in a much better fitness-bias exploitation, and (2) bilateral accuracy prevents the fitness dilemma. While the improvements stand for themselves, we believe they also contribute to the ultimate goal of an evolutionary learning system that is able to solve decomposable machine-learning problems quickly, accurately,and reliably. The paper also contributes to the further understanding of XCS in general and the fitness approach in XCS in particular.

Algorithms↗

Integrated fossil and molecular data reconstruct bat echolocation.

Molecular and morphological data have important roles in illuminating evolutionary history. DNA data often yield well resolved phylogenies for living taxa, but are generally unattainable for fossils. A distinct advantage of morphology is that some types of morphological data may be collected for extinct and extant taxa. Fossils provide a unique window on evolutionary history and may preserve combinations of primitive and derived characters that are not found in extant taxa. Given their unique character complexes, fossils are critical in documenting sequences of character transformation over geologic time and may elucidate otherwise ambiguous patterns of evolution that are not revealed by molecular data alone. Here, we employ a methodological approach that allows for the integration of molecular and paleontological data in deciphering one of the most innovative features in the evolutionary history of mammals-laryngeal echolocation in bats. Molecular data alone, including an expanded data set that includes new sequences for the A2AB gene, suggest that microbats are paraphyletic but do not resolve whether laryngeal echolocation evolved independently in different microbat lineages or evolved in the common ancestor of bats and was subsequently lost in megabats. When scaffolds from molecular phylogenies are incorporated into parsimony analyses of morphological characters, including morphological characters for the Eocene taxa Icaronycteris, Archaeonycteris, Hassianycteris, and Palaeochiropteryx, the resulting trees suggest that laryngeal echolocation evolved in the common ancestor of fossil and extant bats and was subsequently lost in megabats. Molecular dating suggests that crown-group bats last shared a common ancestor 52 to 54 million years ago.

Animals↗

Analytical methods for studying the evolution of paralogs using duplicate gene datasets.

Gene duplication is widely viewed as an important source of raw material for functional innovation in proteins because at least some duplicate copies will evolve new or slightly modified functions. The study of the molecular processes by which functional innovation occurs interests both evolutionary biologists and protein chemists, and the development of methods to investigate these processes has led to a productive meeting of disciplines and an availability of complementary approaches for exploring datasets. This has resulted in insights into past events, prediction of current function, and prediction of future change. The methods fall broadly into two categories: those that rely on detection of shifts in selective constraints and those that rely on detection of correlations between molecular changes and functional shifts. Strengths and limitations of the methods are evaluated here in the context of the question being addressed, the input required, and the specific metric that is evaluated in each test.

Databases, Genetic↗

An apparent reversal in floral symmetry in the legume Cadia is a homeotic transformation.

Within papilionoid legumes, characterized by flowers with strong bilateral symmetry, a derived condition within angiosperms, Cadia (Cadia purpurea) has reverted to radially symmetrical flowers. Here, we investigate the genetic basis of this morphological reversal. Two orthologues of the floral symmetry gene CYCLOIDEA (CYC) demarcate the adaxial (dorsal) region of the flower in typical papilionoid legumes. In the model legume Lotus japonicus, one of these LegCYC genes has been shown, like CYC, to be required for the establishment of floral bilateral symmetry. This study shows that these genes are expressed in the adaxial region of the typical papilionoid flower of Lupinus, which belongs to the same papilionoid subclade as Cadia. In Cadia, these genes also are expressed, but the expression pattern of one of these has expanded from the adaxial to the lateral and abaxial regions of the corolla. This result suggests that the radial flowers of Cadia are dorsalized and, therefore, are not a true evolutionary reversal but an innovative homeotic transformation, where, in this case, all petals have acquired dorsal identity. This study raises a question over other putative reversals in animals and plants, which also may be cryptic innovations.

DNA, Complementary↗

Selection on coding regions determined Hox7 genes evolution.

The important role of Hox genes in determining the regionalization of the body plan of the vertebrates makes them invaluable candidates for evolutionary analyses regarding functional and morphological innovation. Gene duplication and gene loss led to a variable number of Hox genes in different vertebrate lineages. The evolutionary forces determining the conservation or loss of Hox genes are poorly understood. In this study, we show that variable selective pressures acted on Hox7 genes in different evolutionary lineages, with episodes of positive selection occurring after gene duplications. Tests for functional divergence in paralogs detected significant differentiation in a region known to modulate HOX7 protein activity. Our results show that both positive and negative selection on coding regions are influencing Hox7 genes evolution.

Amino Acid Sequence↗

Morphological innovation and developmental genetics.

How do the actions of individual genes contribute to the complex morphologies of animals and plants? How widespread are these genes taxonomically? How many genes are involved in the morphological differences observed between species, and can we identify them? To what extent can empirical data and theory be reconciled? We provide an overview of some recent attempts to answer these questions, answers that have taken us to the threshold of understanding the mechanistic basis and evolutionary factors that underlie morphological innovation.

Animals↗

Detecting the historical signature of key innovations using stochastic models of character evolution and cladogenesis.

Phylogenetic evidence for biological traits that increase the net diversification rate of lineages (key innovations) is most commonly drawn from comparisons of clade size. This can work well for ancient, unreversed traits and for correlating multiple trait origins with higher diversification rates, but it is less suitable for unique events, recently evolved innovations, and traits that exhibit homoplasy. Here I present a new method for detecting the phylogenetic signature of key innovations that tests whether the evolutionary history of the candidate trait is associated with shorter waiting times between cladogenesis events. The method employs stochastic models of character evolution and cladogenesis and integrates well into a Bayesian framework in which uncertainty in historical inferences (such as phylogenetic relationships) is allowed. Applied to a well-known example in plants, nectar spurs in columbines, the method gives much stronger support to the key innovation hypothesis than previous tests.

Adaptation, Biological↗

Enzymatic innovations in Angelica pubescens reveal dual coumarin biosynthetic pathways driving metabolic diversification.

Coumarins are structurally diverse phenylpropanoid derivatives with ecological and pharmacological significance, yet the biosynthetic logic underlying their diversification remains incompletely understood in non-model medicinal plants. Angelica pubescens (Apiaceae), widely used in traditional Chinese medicine, accumulates a rich repertoire of furanocoumarins and dihydrofuranocoumarins, making it an ideal system to investigate this metabolic complexity. Here, we combined chromosome-level genome assembly, transcriptome and metabolite profiling, phylogenetics, and heterologous expression assays to dissect coumarin biosynthesis in A. pubescens. We identified two functionally specialized O-methyltransferases, ApOMT1 and ApOMT2, which catalyze regioselective methylation of xanthotoxol and bergaptol to yield the furanocoumarins xanthotoxin and bergapten. We also characterized ApCYP736A121, a cytochrome P450 enzyme that converts osthenol to the dihydrofuranocoumarin columbianetin via a previously unknown mechanism. Gene expression and metabolite accumulation patterns across tissues and developmental stages revealed functional partitioning among pathway branches. Phylogenetic and syntenic analyses indicated that ApOMT1 and ApOMT2 arose through subfunctionalization following gene duplication, whereas ApCYP736A121 evolved via neofunctionalization from a distantly related CYP736 ancestor. Together, our findings uncover dual biosynthetic routes to structurally distinct coumarins in A. pubescens and provide insights into the evolutionary mechanisms contributing to metabolic innovation in Apiaceae. This work lays a foundation for future efforts to engineer coumarin pathways and understand their ecological functions in medicinal plants.

Coumarins↗