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  1. The genome‐centric concept: resynthesis of evolutionary theory.Henry H. Q. Heng - 2009 - Bioessays 31 (5):512-525.
    Modern biology has been heavily influenced by the gene‐centric concept. Paradoxically, this very concept – on which bioresearch is based – is challenged by the success of gene‐based research in terms of explaining evolutionary theory. To overcome this major roadblock, it is essential to establish new theories, to not only solve the key puzzles presented by the gene‐centric concept, but also to provide a conceptual framework that allows the field to grow. This paper discusses a number of paradoxes and illustrates (...)
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  • The Dual Nature of Mimicry: Organismal Form and Beholder’s Eye.Karel Kleisner & S. Adil Saribay - 2019 - Biosemiotics 12 (1):79-98.
    Mimicry is often cited as a compelling demonstration of the power of natural selection. By adopting signs of a protected model, mimics usually gain a reproductive advantage by minimising the likelihood of being preyed upon. Yet while natural selection plays a role in the evolution of mimicry, it can be doubted whether it fully explains it. Mimicry is mediated by the emergence of formally analogous patterns between unrelated organisms and by the fact that these patterns are meaningfully perceived as similar. (...)
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  • Mutational heterogeneity: A key ingredient of bet‐hedging and evolutionary divergence?Thomas Ferenci & Ram Maharjan - 2015 - Bioessays 37 (2):123-130.
    Here, we propose that the heterogeneity of mutational types in populations underpins alternative pathways of evolutionary adaptation. Point mutations, deletions, insertions, transpositions and duplications cause different biological effects and provide distinct adaptive possibilities. Experimental evidence for this notion comes from the mutational origins of adaptive radiations in large, clonal bacterial populations. Independent sympatric lineages with different phenotypes arise from distinct genetic events including gene duplication, different insertion sequence movements and several independent point mutations. The breadth of the mutational spectrum in (...)
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  • Genomic mutation rates: what high‐throughput methods can tell us.Koodali T. Nishant, Nadia D. Singh & Eric Alani - 2009 - Bioessays 31 (9):912-920.
    High‐throughput DNA analyses are increasingly being used to detect rare mutations in moderately sized genomes. These methods have yielded genome mutation rates that are markedly higher than those obtained using pre‐genomic strategies. Recent work in a variety of organisms has shown that mutation rate is strongly affected by sequence context and genome position. These observations suggest that high‐throughput DNA analyses will ultimately allow researchers to identify trans‐acting factors and cis sequences that underlie mutation rate variation. Such work should provide insights (...)
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