Molecular Evolution Lecture Notes
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Determining the Factors Driving Selective Effects of New Nonsynonymous Mutations
Determining the factors driving selective effects of new nonsynonymous mutations Christian D. Hubera,1, Bernard Y. Kima, Clare D. Marsdena, and Kirk E. Lohmuellera,b,c,1 aDepartment of Ecology and Evolutionary Biology, University of California, Los Angeles, CA 90095; bInterdepartmental Program in Bioinformatics, University of California, Los Angeles, CA 90095; and cDepartment of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA 90095 Edited by Andrew G. Clark, Cornell University, Ithaca, NY, and approved March 16, 2017 (received for review November 26, 2016) The distribution of fitness effects (DFE) of new mutations plays a the protein stability model, the back-mutation model, the mu- fundamental role in evolutionary genetics. However, the extent tational robustness model, and Fisher’s geometrical model to which the DFE differs across species has yet to be systematically (FGM). For example, the mutational robustness model predicts investigated. Furthermore, the biological mechanisms determining that more complex species will have more robust regulatory the DFE in natural populations remain unclear. Here, we show that networks that will better buffer the effects of deleterious muta- theoretical models emphasizing different biological factors at tions, leading to less deleterious selection coefficients (10). Here, determining the DFE, such as protein stability, back-mutations, we leverage these predictions of how the DFE is expected to species complexity, and mutational robustness make distinct pre- differ across species to test which theoretical model best explains dictions about how the DFE will differ between species. Analyzing the evolution of the DFE by comparing the DFE in natural amino acid-changing variants from natural populations in a com- populations of humans, Drosophila, yeast, and mice. -
Comparative Evolution: Latent Potentials for Anagenetic Advance (Adaptive Shifts/Constraints/Anagenesis) G
Proc. Natl. Acad. Sci. USA Vol. 85, pp. 5141-5145, July 1988 Evolution Comparative evolution: Latent potentials for anagenetic advance (adaptive shifts/constraints/anagenesis) G. LEDYARD STEBBINS* AND DANIEL L. HARTLtt *Department of Genetics, University of California, Davis, CA 95616; and tDepartment of Genetics, Washington University School of Medicine, Box 8031, 660 South Euclid Avenue, Saint Louis, MO 63110 Contributed by G. Ledyard Stebbins, April 4, 1988 ABSTRACT One of the principles that has emerged from genetic variation available for evolutionary changes (2), a experimental evolutionary studies of microorganisms is that major concern of modem evolutionists is explaining how the polymorphic alleles or new mutations can sometimes possess a vast amount of genetic variation that actually exists can be latent potential to respond to selection in different environ- maintained. Given the fact that in complex higher organisms ments, although the alleles may be functionally equivalent or most new mutations with visible effects on phenotype are disfavored under typical conditions. We suggest that such deleterious, many biologists, particularly Kimura (3), have responses to selection in microorganisms serve as experimental sought to solve the problem by proposing that much genetic models of evolutionary advances that occur over much longer variation is selectively neutral or nearly so, at least at the periods of time in higher organisms. We propose as a general molecular level. Amidst a background of what may be largely evolutionary principle that anagenic advances often come from neutral or nearly neutral genetic variation, adaptive evolution capitalizing on preexisting latent selection potentials in the nevertheless occurs. While much of natural selection at the presence of novel ecological opportunity. -
I Xio- and Made the Rather Curious Assumption That the Mutant Is
NOTES AND COMMENTS NATURAL SELECTION AND THE EVOLUTION OF DOMINANCE P. M. SHEPPARD Deportment of Genetics, University of Liverpool and E.B. FORD Genetic Laboratories, Department of Zoology, Oxford 1. INTRODUCTION CROSBY(i 963) criticises the hypothesis that dominance (or recessiveness) has evolved and is not an attribute of the allelomorph when it arose for the first time by mutation. None of his criticisms is new and all have been discussed many times. However, because of a number of apparent mis- understandings both in previous discussions and in Crosby's paper, and the fact that he does not refer to some important arguments opposed to his own view, it seems necessary to reiterate some of the previous discussion. Crosby's criticisms fall into two parts. Firstly, he maintains, as did Wright (1929a, b) and Haldane (1930), that the selective advantage of genes modifying dominance, being of the same order of magnitude as the mutation rate, is too small to have any evolutionary effect. Secondly, he criticises, as did Wright (5934), the basic assumption that a new mutation when it first arises produces a phenotype somewhat intermediate between those of the two homozygotes. 2.THE SELECTION COEFFICIENT INVOLVED IN THE EVOLUTION OF DOMINANCE Thereis no doubt that the selective advantage of modifiers of dominance is of the order of magnitude of the mutation rate of the gene being modified. Crosby (p. 38) considered a hypothetical example with a mutation rate of i xio-and made the rather curious assumption that the mutant is dominant in the absence of modifiers of dominance. -
It's About Time: the Temporal Dynamics of Phenotypic Selection in the Wild
Ecology Letters, (2009) 12: 1261–1276 doi: 10.1111/j.1461-0248.2009.01381.x REVIEW AND SYNTHESIS ItÕs about time: the temporal dynamics of phenotypic selection in the wild Abstract Adam M. Siepielski,1* Joseph Selection is a central process in nature. Although our understanding of the strength and D. DiBattista2 and Stephanie form of selection has increased, a general understanding of the temporal dynamics of M. Carlson3 selection in nature is lacking. Here, we assembled a database of temporal replicates of 1 Department of Biological selection from studies of wild populations to synthesize what we do (and do not) know Sciences, Dartmouth College, about the temporal dynamics of selection. Our database contains 5519 estimates of Hanover, NH 03755, USA selection from 89 studies, including estimates of both direct and indirect selection as well 2Redpath Museum and as linear and nonlinear selection. Morphological traits and studies focused on vertebrates Department of Biology, McGill were well-represented, with other traits and taxonomic groups less well-represented. University, Montre´ al, QC H3A 2K6, Canada Overall, three major features characterize the temporal dynamics of selection. First, the 3University of California, strength of selection often varies considerably from year to year, although random Department of Environmental sampling error of selection coefficients may impose bias in estimates of the magnitude of Science, Policy, and such variation. Second, changes in the direction of selection are frequent. Third, changes Management, 137 Mulford Hall in the form of selection are likely common, but harder to quantify. Although few studies 3114, Berkeley, CA 94720, USA have identified causal mechanisms underlying temporal variation in the strength, *Correspondence: E-mail: direction and form of selection, variation in environmental conditions driven by climatic Adam.M.Siepielski@Dartmouth. -
Molecular Evolution
An Introduction to Bioinformatics Algorithms www.bioalgorithms.info Molecular Evolution An Introduction to Bioinformatics Algorithms www.bioalgorithms.info Outline • Evolutionary Tree Reconstruction • “Out of Africa” hypothesis • Did we evolve from Neanderthals? • Distance Based Phylogeny • Neighbor Joining Algorithm • Additive Phylogeny • Least Squares Distance Phylogeny • UPGMA • Character Based Phylogeny • Small Parsimony Problem • Fitch and Sankoff Algorithms • Large Parsimony Problem • Evolution of Wings • HIV Evolution • Evolution of Human Repeats An Introduction to Bioinformatics Algorithms www.bioalgorithms.info Early Evolutionary Studies • Anatomical features were the dominant criteria used to derive evolutionary relationships between species since Darwin till early 1960s • The evolutionary relationships derived from these relatively subjective observations were often inconclusive. Some of them were later proved incorrect An Introduction to Bioinformatics Algorithms www.bioalgorithms.info Evolution and DNA Analysis: the Giant Panda Riddle • For roughly 100 years scientists were unable to figure out which family the giant panda belongs to • Giant pandas look like bears but have features that are unusual for bears and typical for raccoons, e.g., they do not hibernate • In 1985, Steven O’Brien and colleagues solved the giant panda classification problem using DNA sequences and algorithms An Introduction to Bioinformatics Algorithms www.bioalgorithms.info Evolutionary Tree of Bears and Raccoons An Introduction to Bioinformatics Algorithms www.bioalgorithms.info Evolutionary Trees: DNA-based Approach • 40 years ago: Emile Zuckerkandl and Linus Pauling brought reconstructing evolutionary relationships with DNA into the spotlight • In the first few years after Zuckerkandl and Pauling proposed using DNA for evolutionary studies, the possibility of reconstructing evolutionary trees by DNA analysis was hotly debated • Now it is a dominant approach to study evolution. -
Fixation of New Mutations in Small Populations
Whitlock MC & Bürger R (2004). Fixation of New Mutations in Small Populations. In: Evolutionary Conservation Biology, eds. Ferrière R, Dieckmann U & Couvet D, pp. 155–170. Cambridge University Press. c International Institute for Applied Systems Analysis 9 Fixation of New Mutations in Small Populations Michael C. Whitlock and Reinhard Bürger 9.1 Introduction Evolution proceeds as the result of a balance between a few basic processes: mu- tation, selection, migration, genetic drift, and recombination. Mutation is the ulti- mate source of all the genetic variation on which selection may act; it is therefore essential to evolution. Mutations carry a large cost, though; almost all are delete- rious, reducing the fitness of the organisms in which they occur (see Chapter 7). Mutation is therefore both a source of good and ill for a population (Lande 1995). The overall effect of mutation on a population is strongly dependent on the pop- ulation size. A large population has many new mutations in each generation, and therefore the probability is high that it will obtain new favorable mutations. This large population also has effective selection against the bad mutations that occur; deleterious mutations in a large population are kept at a low frequency within a balance between the forces of selection and those of mutation. A population with relatively fewer individuals, however, will have lower fitness on average, not only because fewer beneficial mutations arise, but also because deleterious mutations are more likely to reach high frequencies through random genetic drift. This shift in the balance between fixation of beneficial and deleterious mutations can result in a decline in the fitness of individuals in a small population and, ultimately, may lead to the extinction of that population. -
Selection and Genome Plasticity As the Key Factors in the Evolution of Bacteria
PHYSICAL REVIEW X 9, 031018 (2019) Selection and Genome Plasticity as the Key Factors in the Evolution of Bacteria † Itamar Sela,* Yuri I. Wolf, and Eugene V. Koonin National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA (Received 10 December 2018; revised manuscript received 6 June 2019; published 5 August 2019) In prokaryotes, the number of genes in different functional classes shows apparent universal scaling with the total number of genes that can be approximated by a power law, with a sublinear, near-linear, or superlinear scaling exponent. These dependences are gene class specific but hold across the entire diversity of bacteria and archaea. Several models have been proposed to explain these universal scaling laws, primarily based on the specifics of the respective biological functions. However, a population-genetic theory of universal scaling is lacking. We employ a simple mathematical model for prokaryotic genome evolution, which, together with the analysis of 34 clusters of closely related bacterial genomes, allows us to identify the underlying factors that govern the evolution of the genome content. Evolution of the gene content is dominated by two functional class-specific parameters: selection coefficient and genome plasticity. The selection coefficient quantifies the fitness cost associated with deletion of a gene in a given functional class or the advantage of successful incorporation of an additional gene. Genome plasticity reflects both the availability of the genes of a given class in the external gene pool that is accessible to the evolving population and the ability of microbes to accommodate these genes in the short term, that is, the class-specific horizontal gene transfer barrier. -
Dynamics of Adaptation in Sexual and Asexual Populations Joachim Krug Institut Für Theoretische Physik, Universität Zu Köln
Dynamics of adaptation in sexual and asexual populations Joachim Krug Institut für Theoretische Physik, Universität zu Köln • Motivation and basic concepts • The speed of evolution in large asexual populations • Epistasis and recombination Joint work with Su-Chan Park and Arjan de Visser [PNAS 104, 18135 (2007); arXiv:0807.3002] I have deeply regretted that I did not proceed far enough at least to understand something of the great leading principles of mathematics, for men thus endowed seem to have an extra sense. The Autobiography of Charles Darwin The modern synthesis R.A. Fisher J.B.S. Haldane S. Wright The evolutionary process is concerned, not with individuals, but with the species, an intricate network of living matter, physically continuous in space- time, and with modes of response to external conditions which it appears can be related to the genetics of individuals only as a statistical consequence of the latter. Sewall Wright (1931) It is not generally realized that genetics has finally solved the age-old problem of the reason for the existence (i.e., the function) of sexuality and sex, and that only geneticists can properly answer the question, “Is sex necessary?” H.J. Muller (1932) The problem of sex Sex is costly: • Two-fold cost of males (Maynard-Smith, 1971) • Cost of finding and courting a mate Nevertheless sexual reproduction is ubiquitous in plants and animals ⇒ What evolutionary forces are responsible for the maintenance of sex? Genetic mechanisms: • Sex helps to eliminate deleterious mutations (Muller’s ratchet) • Sex speeds up the establishment of beneficial mutations (Muller-Fisher effect/clonal interference) The Muller-Fisher hypothesis for the advantage of sex J.F. -
Selection in a Subdivided Population with Local Extinction and Recolonization
Copyright 2003 by the Genetics Society of America Selection in a Subdivided Population With Local Extinction and Recolonization Joshua L. Cherry1 Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts 02138 Manuscript received December 13, 2002 Accepted for publication March 4, 2003 ABSTRACT In a subdivided population, local extinction and subsequent recolonization affect the fate of alleles. Of particular interest is the interaction of this force with natural selection. The effect of selection can be weakened by this additional source of stochastic change in allele frequency. The behavior of a selected allele in such a population is shown to be equivalent to that of an allele with a different selection coefficient in an unstructured population with a different size. This equivalence allows use of established results for panmictic populations to predict such quantities as fixation probabilities and mean times to fixation. The magnitude of the quantity Nese, which determines fixation probability, is decreased by extinction and recolonization. Thus deleterious alleles are more likely to fix, and advantageous alleles less likely to do so, in the presence of extinction and recolonization. Computer simulations confirm that the theoretical predictions of both fixation probabilities and mean times to fixation are good approximations. HE consequences of population subdivision for evol- tion of an infinite population size. These results provide Tution depend on the nature of gene flow between not only fixation probabilities but also a complete de- subpopulations. Gene flow might be restricted to ordi- scription of the trajectory of the frequency of a selected nary migration, but might also include extinction of allele. -
5. EVOLUTION AS a POPULATION-GENETIC PROCESS 5 April 2020
æ 5. EVOLUTION AS A POPULATION-GENETIC PROCESS 5 April 2020 With knowledge on rates of mutation, recombination, and random genetic drift in hand, we now consider how the magnitudes of these population-genetic features dictate the paths that are open vs. closed to evolutionary exploitation in various phylogenetic lineages. Because historical contingencies exist throughout the Tree of Life, we cannot expect to derive from first principles the source of every molecular detail of cellular diversification. We can, however, use established theory to address more general issues, such as the degree of attainable molecular refinement, rates of transition from one state to another, and the degree to which nonadaptive processes (mutation and random genetic drift) contribute to phylogenetic diversification. Substantial reviews of the field of evolutionary theory appear in Charlesworth and Charlesworth (2010) and Walsh and Lynch (2018). Much of the field is con- cerned with the mechanisms maintaining genetic variation within populations, as this ultimately dictates various aspects of the short-term response to selection. Here, however, we are primarily concerned with long-term patterns of phylogenetic diver- sification, so the focus is on the divergence of mean phenotypes. This still requires some knowledge of the principles of population genetics, as evolutionary divergence is ultimately a consequence of the accrual of genetic modifications at the population level. All evolutionary change initiates as a transient phase of genetic polymor- phism, during which mutant alleles navigate the rough sea of random genetic drift, often being evaluated on various genetic backgrounds, with some paths being more accessible to natural selection than others. -
Lecture on Positive and Negative Selection
POSITIVE AND NEGATIVE SELECTION (AND RELATED PROBLEMS) CLAUDIA BANK Evolutionary Dynamics @ IGC: ➤ How do populations adapt to challenging environments? E.g., how does drug resistance evolve? ➤ Which processes drive speciation & diversification? ➤ What is the role of interactions in evolution? Mutation Genetic drift Migration Selection What we do ➤ Study evolutionary processes using simple models ➤ Evaluate these models using empirical and simulated data ➤ Use modeling to inform experimental design a priori Evolutionary Dynamics @ IGC: ➤ How do populations adapt to challenging environments? E.g., how does drug resistance evolve? ➤ Which processes drive speciation & diversification? ➤ What is the role of interactions in evolution? Mutation Genetic drift Migration Selection What we do ➤ Study evolutionary processes using simple models ➤ Evaluate these models using empirical and simulated data ➤ Use modeling to inform experimental design a priori It may be said that natural selection is daily and hourly scutinising, throughout the world, every variation, even the slightest; rejecting that which is bad, preserving and adding up all that is good; silently and insensibly working , whenever and “ wherever opportunity offers, at the improvement of each organic being in relation to its organic and inorganic conditions of life. We see nothing of these slow changes in progress, until the hand of time has marked the long lapse of ages. - Darwin, 1859 It may be said that natural selection is daily and hourly scutinising, throughout the world, every variation, even the slightest; rejecting that which is bad, preserving and adding up all that is good; silently and insensibly working , whenever and “ wherever opportunity offers, at the improvement of each organic being in relation to its organic and inorganic conditions of life. -
Lecture 11 Molecular Evolution
Lecture 11 Molecular evolution Jim Watson, Francis Crick, and DNA Molecular Evolution 4 characteristics 1. c-value paradox 2. Molecular evolution is sometimes decoupled from morphological evolution 3. Molecular clock 4. Neutral theory of Evolution Molecular Evolution 1. c-value!!!!!! paradox Kb! ! Navicola (diatom) ! !! 35,000! Drosophila (fruitfly) ! !180,000! Gallus (chicken) ! ! 1,200,000! Cyprinus (carp) 1,700,000! Boa (snake) 2,100,000! Rattus (rat) 2,900,000! Homo (human) 3,400,000! Schistocerca (locust) 9,300,000! Allium (onion) 18,000,000! Lilium (lily) 36,000,000! Ophioglossum (fern) 160,000,000! Amoeba (amoeba) 290,000,000! Isochores Cold-blooded vertebrates L (low GC) Warm-blooded vertebrates L H1 L H2 L H3 (low GC) (high GC) Isochores - Chromatin structure - Time of replication - Gene types - Gene concentration - Retroviruses Warm-blooded vertebrates L H1 L H2 L H3 (low GC) (high GC) (Mb) GC, % GC, % Isochores of human chromosome 21 (Macaya et al., 1976) Costantini et al., 2006 Molecular Evolution 2. Molecular evolution is sometimes decoupled from morphological evolution Morphological Genetic Similarity Similarity 1. low low 2. high high 3. high low 4. low high Molecular Evolution Morphological Genetic Similarity Similarity 3. high low Living fossils Latimeria, Coelacanth Limulus, Horseshoe crab Molecular Evolution Morphological Genetic Similarity Similarity - distance between humans and chimpanzees is less than 4. low high between sibling species of Drosophila. - for example, from a sample of 11 proteins representing 1271 amino acids, only 5 differ between humans and chimps. - the other six proteins are identical in primary structure. - most proteins that have been sequenced exhibit no amino acid differences - e.g., alphaglobin Pan, Chimp Homo, Human Molecular clock - when the rates of silent substitution at a gene are compared to its rate of replacement substitution, the former typically exceeds the latter by a factor of 5-10.