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      The role of mutation bias in adaptive molecular evolution: insights from convergent changes in protein function

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          Abstract

          An underexplored question in evolutionary genetics concerns the extent to which mutational bias in the production of genetic variation influences outcomes and pathways of adaptive molecular evolution. In the genomes of at least some vertebrate taxa, an important form of mutation bias involves changes at CpG dinucleotides: if the DNA nucleotide cytosine (C) is immediately 5′ to guanine (G) on the same coding strand, then—depending on methylation status—point mutations at both sites occur at an elevated rate relative to mutations at non-CpG sites. Here, we examine experimental data from case studies in which it has been possible to identify the causative substitutions that are responsible for adaptive changes in the functional properties of vertebrate haemoglobin (Hb). Specifically, we examine the molecular basis of convergent increases in Hb–O 2 affinity in high-altitude birds. Using a dataset of experimentally verified, affinity-enhancing mutations in the Hbs of highland avian taxa, we tested whether causative changes are enriched for mutations at CpG dinucleotides relative to the frequency of CpG mutations among all possible missense mutations. The tests revealed that a disproportionate number of causative amino acid replacements were attributable to CpG mutations, suggesting that mutation bias can influence outcomes of molecular adaptation. This article is part of the theme issue ‘Convergent evolution in the genomics era: new insights and directions’.

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          Most cited references38

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          Phylogenetic approaches in comparative physiology.

          Over the past two decades, comparative biological analyses have undergone profound changes with the incorporation of rigorous evolutionary perspectives and phylogenetic information. This change followed in large part from the realization that traditional methods of statistical analysis tacitly assumed independence of all observations, when in fact biological groups such as species are differentially related to each other according to their evolutionary history. New phylogenetically based analytical methods were then rapidly developed, incorporated into ;the comparative method', and applied to many physiological, biochemical, morphological and behavioral investigations. We now review the rationale for including phylogenetic information in comparative studies and briefly discuss three methods for doing this (independent contrasts, generalized least-squares models, and Monte Carlo computer simulations). We discuss when and how to use phylogenetic information in comparative studies and provide several examples in which it has been helpful, or even crucial, to a comparative analysis. We also consider some difficulties with phylogenetically based statistical methods, and of comparative approaches in general, both practical and theoretical. It is our personal opinion that the incorporation of phylogeny information into comparative studies has been highly beneficial, not only because it can improve the reliability of statistical inferences, but also because it continually emphasizes the potential importance of past evolutionary history in determining current form and function.
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            Homoplasy: from detecting pattern to determining process and mechanism of evolution.

            Understanding the diversification of phenotypes through time--"descent with modification"--has been the focus of evolutionary biology for 150 years. If, contrary to expectations, similarity evolves in unrelated taxa, researchers are guided to uncover the genetic and developmental mechanisms responsible. Similar phenotypes may be retained from common ancestry (homology), but a phylogenetic context may instead reveal that they are independently derived, due to convergence or parallel evolution, or less likely, that they experienced reversal. Such examples of homoplasy present opportunities to discover the foundations of morphological traits. A common underlying mechanism may exist, and components may have been redeployed in a way that produces the "same" phenotype. New, robust phylogenetic hypotheses and molecular, genomic, and developmental techniques enable integrated exploration of the mechanisms by which similarity arises.
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              Phylogenetic estimation of context-dependent substitution rates by maximum likelihood.

              Nucleotide substitution in both coding and noncoding regions is context-dependent, in the sense that substitution rates depend on the identity of neighboring bases. Context-dependent substitution has been modeled in the case of two sequences and an unrooted phylogenetic tree, but it has only been accommodated in limited ways with more general phylogenies. In this article, extensions are presented to standard phylogenetic models that allow for better handling of context-dependent substitution, yet still permit exact inference at reasonable computational cost. The new models improve goodness of fit substantially for both coding and noncoding data. Considering context dependence leads to much larger improvements than does using a richer substitution model or allowing for rate variation across sites, under the assumption of site independence. The observed improvements appear to derive from three separate properties of the models: their explicit characterization of context-dependent substitution within N-tuples of adjacent sites, their ability to accommodate overlapping N-tuples, and their rich parameterization of the substitution process. Parameter estimation is accomplished using an expectation maximization algorithm, with a quasi-Newton algorithm for the maximization step; this approach is shown to be preferable to ordinary Newton methods for parameter-rich models. Overlapping tuples are efficiently handled by assuming Markov dependence of the observed bases at each site on those at the N - 1 preceding sites, and the required conditional probabilities are computed with an extension of Felsenstein's algorithm. Estimated substitution rates based on a data set of about 160,000 noncoding sites in mammalian genomes indicate a pronounced CpG effect, but they also suggest a complex overall pattern of context-dependent substitution, comprising a variety of subtle effects. Estimates based on about 3 million sites in coding regions demonstrate that amino acid substitution rates can be learned at the nucleotide level, and suggest that context effects across codon boundaries are significant.
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                Author and article information

                Journal
                Philosophical Transactions of the Royal Society B: Biological Sciences
                Phil. Trans. R. Soc. B
                The Royal Society
                0962-8436
                1471-2970
                June 03 2019
                July 22 2019
                June 03 2019
                July 22 2019
                : 374
                : 1777
                : 20180238
                Affiliations
                [1 ]School of Biological Sciences, University of Nebraska, Lincoln, NE 68588, USA
                [2 ]Department of Biology, University of New Mexico, Albuquerque, NM 87131, USA
                [3 ]Museum of Southwestern Biology, University of New Mexico, Albuquerque, NM 87131, USA
                [4 ]Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
                [5 ]Office of Data and Informatics, Material Measurement Laboratory, NIST, and Institute for Bioscience and Biotechnology Research, Rockville, MD 20850, USA
                Article
                10.1098/rstb.2018.0238
                6560279
                31154983
                73f67c5e-d457-40d1-81bf-a1610ff923f4
                © 2019
                History

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