Structural genomics is the study of the DNA of living organisms. Evolutionary genomics is the study of the history of the genome. These subjects are closely interlinked. They are approached in this book using as a guideline the investigations carried out in the author's laboratory, relevant literature is critically reviewed and some general conclusions are presented. The author and his collaborators have studied a vast number of genomes, ranging from prokaryotes to human, using different approaches, including physical chemistry of DNA, viral integration and molecular cytogenetics. As the subtitle indicates the book discusses the fundamental importance of natural selection in shaping genomes. In terms of numbers, neutral and nearly neutral mutations represent most mutations, but a "regional" control is exerted by natural selection (essentially negative or purifying selection). A "neo-selectionist" model is proposed for genome evolution.
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Structural and evolutionary genomics are the study of the organization and evolutionaryhistory of the genomes of living organisms. Since the genomes are the outcome of billionsyears of evolution, it is not surprising that the problems are complex. The book by GiorgioBernardi is the result of a lifetime’s work on these problems. These investigations led to thediscovery comprehensive rules about genome organization. Moreover, a breakthrough hasbeen reached, by showing that natural selection acts not only on the “classical phenotype” ofform and function (or, in molecular terms, of the proteins and their expression), as generallyaccepted, but also on the “genome phenotype”, the compositional properties of the genomeand all their functional implication. This conclusion resolves Kimura’s dilemma of naturalselection acting on the classical phenotype while neutral mutations represent the majority ofchanges at the molecular level. Indeed, in the “neo-selectionist” model proposed by theauthor, most mutations are neutral or nearly neutral, but natural selection controls thecompositional patterns of the genome
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