Role of gene duplication in evolution

It is now known that many multigene and supergene families exist in eukaryote genomes: multigene families with uniform copy members like genes for ribosomal RNA, those with variable members like immunoglobulin genes, and supergene families such as those for various growth factor and hormone receptors. Many such examples indicate that gene duplication and subsequent differentiation are extremely important for organismal evolution. In particular, gene duplication could well have been the primary mechanism for the evolution of complexity in higher organisms. Population genetic models for the origin of gene families with diverse functions are presented, in which natural selection favors those genomes with more useful mutants in duplicated genes. Since any gene has a certain probability of degenerating by mutation, success versus failure in acquiring a new gene by duplication may be expressed as the ratio of probabilities of spreading of useful versus detrimental mutations in redundant gene copies. Also examined are the effects of gene duplication on evolution by compensatory advantageous mutations. Results of the analyses show that both natural selection and random drift are important for the origin of gene families. In addition, interaction between molecular mechanisms such as unequal crossing-over and gene conversion, and selection or drift is found to have a large effect on evolution by gene duplication.     

Selection and gene duplication: a view from the genome

Immediately after a gene duplication event, the duplicate genes have redundant functions. Is natural selection therefore completely relaxed after duplication? Does one gene evolve more rapidly than the other? Several recent genome-wide studies have suggested that duplicate genes are always under purifying selection and do not always evolve at the same rate.     

On parametric stability of gene networks controlling ontogenetic processes

The problem of evaluating the parametric stability of three models of pro- and eukaryotic gene networks controlling ontogenetic processes has been defined and solved. Experimental plans of testing gene networks for parametric stability based on the method of generalized threshold models were developed and realized as a software application. We examined the "sensitivity" of the functioning modes to random variations of the parameters in the three model systems: the system of developmental control of phage lambda, the subsystem of morphogenetic control of Arabidopsis thaliana flower, and the gene subnetwork controlling early ontogeny in Drosophila melanogaster. The parametric stability was quantitatively assessed for these models.     

Phosphoglucose isomerase gene duplication in the bony fishes: An evolutionary history

Electrophoretic patterns of phosphoglucose isomerase (PGI) in bony fishes provide strong evidence for a model of genetic control by two independent structural gene loci, most likely resulting from a gene duplication. This model is confirmed by a comparison of certain kinetic and molecular properties of the PGI homodimers (PGI-1 and PGI-2) isolated from extracts of the teleost Astyanax mexicanus. In addition, in most higher teleosts examined, the PGI enzymes show a regular pattern of tissue distribution, with PGI-2 predominant in muscle, the heterodimer often strongest in the heart, and PGI-1 predominant in liver and other organs. An examination of 53 species of bony fishes belonging to 38 families indicates a widespread occurrence of duplicate PGI loci and an early origin of the gene duplication, perhaps in the Leptolepiformes. The apparent presence of three PGI loci in trout and goldfish exemplifies how new loci can be incorporated into the genome through polyploidization.This research was supported in part by a NSF graduate traineeship to J.C.A., by the Clayton Foundation for Research in Biochemistry (G.B.K.), by NSF Grant GB-15644 and NIH Grant GM-15769 to Robert K. Selander, and by contract AT(38-1)-310 between the University of Georgia and the U.S. Atomic Energy Commission.     

Revisit on the evolutionary relationship between alternative splicing and gene duplication

Gene duplications and alternative splicing (AS) isoforms are two widespread types of genetic variations that can facilitate diversification of protein function. A number of studies claimed that after gene duplication, two AS isoforms with differential functions can be 'fixed', respectively, in each of the duplicate copies. This simple 'functional-sharing' hypothesis was recently challenged by Roux and Robinson-Rechavi (2011). Instead, they proposed a more sophisticated hypothesis, invoking that less alternative splicing genes tend to be duplicated more frequently, and single-copy genes are younger than duplicate genes, or the 'duplicability-age' hypothesis for short. In this letter, we show that all these genome-wide analyses of AS isoforms actually did not provide clear-cut evidence to nullify the basic idea of functional-sharing hypothesis. After updating our understanding of genome-wide alternative splicing, duplicability and CNV (copy number variation), we argue that the foundation of the duplicability-age hypothesis remains to be justified carefully. Finally, we suggest that a better approach to resolving this controversy is the correspondence analysis of indels (insertions and deletions) between duplicate genes to the genomic exon-intron structure, which can be used to experimentally test the effect of functional-sharing hypothesis.     

Molecular evolutionary processes and conflicting gene trees: The hominoid case

Molecular evolutionary processes modify DNA over time, creating both newly derived substitutions shared by related descendant lineages (phylogenetic signal) and “false” similarities which confound phylogenetic reconstruction (homoplasy). However, some types of DNA regions, for example those containing tandem duplicate repeats, are preferentially subject to homoplasy-inducing processes such as sporadically occurring concerted evolution and DNA insertion/deletion. This added level of homoplasic “noise” can make DNA regions with repeats less reliable in phylogenetic reconstruction than those without repeats. Most molecular datasets which distinguish among African hominoids support a human-chimpanzee clade; the most notable exception is from the involucrin gene. However, phylogenetic resolution supporting a chimpanzee-gorilla clade is based entirely on involucrin DNA repeat regions. This is problematic because (1) involucrin repeats are difficult to align, and published alignments are contradictory; (2) involucrin repeats are subject to DNA insertion/deletion; (3) gorillas are polymorphic in that some do not have repeats reported to be synapomorphies linking chimpanzees and gorillas. Gene tree/species tree conflicts can occur due to the sorting of ancestrally polymorphic alleles during speciation. Because hominoid females transfer between groups, mitochondrial and nuclear gene flow occur to the same extent, and the probability of conflict between mitochondrial and nuclear gene trees is theoretically low. When hominoid intraspecific mitochondrial variability is taken into account [based on cytochrome oxidase subunit II (COII) gene sequences], humans and chimpanzees are most closely related, showing the same relative degree of separation from gorillas as when single individuals representing species are analyzed. Conflicting molecular phylogenies can be explained in terms of molecular evolutionary processes and sorting of ancient polymorphisms. This perspective can enhance our understanding of hominoid molecular phylogenies. © 1994 Wiley-Liss, Inc.     

Gene duplication and evolutionary novelty in plants

Duplication is a prominent feature of plant genomic architecture. This has led many researchers to speculate that gene duplication may have played an important role in the evolution of phenotypic novelty within plants. Until recently, however, it was difficult to make this connection. We are now beginning to understand how duplication has contributed to adaptive evolution in plants. In this review we introduce the sources of gene duplication and predictions of the various fates of duplicates. We also highlight several recent and pertinent examples from the literature. These examples demonstrate the importance of the functional characteristics of genes and the source of duplication in influencing evolutionary outcome.     

Basis of ontogenetic and evolutionary transformations of thecate hydroids

The high diversity of spatial organization of shoots in colonies of thecate hydroids (Cnidaria, Hydroidomedusa, Leptomedusae) is determined by their modular organization, which is characterized by the cyclic morphogenesis in the colony. It is attempted to show that evolutionary and ontogenetic changes in the spatial organization of hydroids of this group are based on the allometric growth of modules of colony shoots. An increase in size of a developing module provides prerequisites for earlier initiation of the growing tips of succeeding moduls (heterochrony). In some cases, heterochronies determined transition from cyclic to acyclic morphogenesis. The earlier emergence of new growing tips allowed integration of several primary modules into secondary modules, resulting among other things in changes in relative positions of primary modules (heterotopy). In complex colonies, these changes are traced in the ontogeny of a single colony.     

Discrete time spatial models arising in genetics, evolutionary game theory, and branching processes

A saddle point method is used to obtain the speed of first spread of new genotypes in genetic models and of new strategies in game theoretic models. It is also used to obtain the speed of the forward tail of the distribution of farthest spread for branching process models. The technique is applicable to a wide range of models. They include multiple allele and sex-linked models in genetics, multistrategy and bimatrix evolutionary games, and multitype and demographic branching processes. The speed of propagation has been obtained for genetics models (in simple cases only) by Weinberger [1, 2] and Lui [3–7], using exact analytical methods. The exact results were obtained only for two-allele, single-locus genetic models. The saddle point method agrees in these very simple cases with the results obtained by using the exact analytic methods. Of course, it can also be used in much more general situations far less tractable to exact analysis.The connection between genetic and game theoretic models is also briefly considered, as is the extent to which the exact analytic methods yield results for simple models in game theory.     

Correlation between sequence conservation and the genomic context after gene duplication

A key complication in comparative genomics for reliable gene function prediction is the existence of duplicated genes. To study the effect of gene duplication on function prediction, we analyze orthologs between pairs of genomes where in one genome the orthologous gene has duplicated after the speciation of the two genomes (i.e. inparalogs). For these duplicated genes we investigate whether the gene that is most similar on the sequence level is also the gene that has retained the ancestral gene-neighborhood. Although the majority of investigated cases show a consistent pattern between sequence similarity and gene-neighborhood conservation, a substantial fraction, 29–38%, is inconsistent. The observation of inconsistency is not the result of a chance outcome owing to a lack of divergence time between inparalogs, but rather it seems to be the result of a chance outcome caused by very similar rates of sequence evolution of both inparalogs relative to their ortholog. If one-to-one orthologous relationships are required, it is advisable to combine contextual information (i.e. gene-neighborhood in prokaryotes and co-expression in eukaryotes) with protein sequence information to predict the most probable functional equivalent ortholog in the presence of inparalogs.     

Computer simulations: tools for population and evolutionary genetics

Computer simulations are excellent tools for understanding the evolutionary and genetic consequences of complex processes whose interactions cannot be analytically predicted. Simulations have traditionally been used in population genetics by a fairly small community with programming expertise, but the recent availability of dozens of sophisticated, customizable software packages for simulation now makes simulation an accessible option for researchers in many fields. The in silico genetic data produced by simulations, along with greater availability of population-genomics data, are transforming genetic epidemiology, anthropology, evolutionary and population genetics and conservation. In this Review of the state-of-the-art of simulation software, we identify applications of simulations, evaluate simulator capabilities, provide a guide for their use and summarize future directions.     

Nemo: an evolutionary and population genetics programming framework

Nemo is an individual-based, genetically explicit and stochastic population computer program for the simulation of population genetics and life-history trait evolution in a metapopulation context. It comes as both a C++ programming framework and an executable program file. Its object-oriented programming design gives it the flexibility and extensibility needed to implement a large variety of forward-time evolutionary models. It provides developers with abstract models allowing them to implement their own life-history traits and life-cycle events. Nemo offers a large panel of population models, from the Island model to lattice models with demographic or environmental stochasticity and a variety of already implemented traits (deleterious mutations, neutral markers and more), life-cycle events (mating, dispersal, aging, selection, etc.) and output operators for saving data and statistics. It runs on all major computer platforms including parallel computing environments. AVAILABILITY: The source code, binaries and documentation are available under the GNU General Public License at http://nemo2.sourceforge.net.     

Rotifer genetics: integration of classic and modern techniques

Rotifer genetics has a long but sporadic history. There have been 4 major periods of research activity: (1) determining the environmental control of sexuality with inferences regarding genetics — early 1900's; (2) exploring the relationship between chromosome numbers and the rotifer life cycle — 1920's; (3) physiological and developmental genetics — 1960's; and (4) theoretical and experimental population genetics late 1970's. With newly developed molecular techniques, in conjunction with more traditional approaches, integration of these fields is beginning. Examples include investigation of gene expression involved in sexual reproduction by isolating glycoproteins responsible for mate recognition. Improvement of techniques for chromosome analysis has made it possible to verify haploidy in males and led to the discovery of polyploidy. The role of specialized proteins in the stress response is being elaborated with an accompanying search for the genetic elements which control them. Most recently the polymerase chain reaction (PCR) has been used to amplify ribosomal genes, and is a first step in using DNA sequences to define evolutionary relationships among the Rotifera.     

Integrating evolutionary and molecular genetics of aging

Aging or senescence is an age-dependent decline in physiological function, demographically manifest as decreased survival and fecundity with increasing age. Since aging is disadvantageous it should not evolve by natural selection. So why do organisms age and die? In the 1940s and 1950s evolutionary geneticists resolved this paradox by positing that aging evolves because selection is inefficient at maintaining function late in life. By the 1980s and 1990s this evolutionary theory of aging had received firm empirical support, but little was known about the mechanisms of aging. Around the same time biologists began to apply the tools of molecular genetics to aging and successfully identified mutations that affect longevity. Today, the molecular genetics of aging is a burgeoning field, but progress in evolutionary genetics of aging has largely stalled. Here we argue that some of the most exciting and unresolved questions about aging require an integration of molecular and evolutionary approaches. Is aging a universal process? Why do species age at different rates? Are the mechanisms of aging conserved or lineage-specific? Are longevity genes identified in the laboratory under selection in natural populations? What is the genetic basis of plasticity in aging in response to environmental cues and is this plasticity adaptive? What are the mechanisms underlying trade-offs between early fitness traits and life span? To answer these questions evolutionary biologists must adopt the tools of molecular biology, while molecular biologists must put their experiments into an evolutionary framework. The time is ripe for a synthesis of molecular biogerontology and the evolutionary biology of aging.