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Articles by Daohan Jiang
A general evolutionary model for the emergence of novel characters from serial homologs
Abstract The origin of morphological characters with novel forms and functions is among the most fascinating phenomena in evolution, and understanding its underlying principles has been a fundamental goal of evolutionary biology. An essential means by which novelties evolve is the divergence of repeated body parts, known as serial homologs, into various forms, as in the case of tetrapod limbs and insect wings.
Alternative mutational architectures producing identical M-matrices can lead to different patterns of evolutionary divergence
Abstract Explaining macroevolutionary divergence in light of population genetics requires understanding the extent to which the patterns of mutational input contribute to long-term trends. In the context of quantitative traits, mutational input is typically described by the mutational variance-covariance matrix, or the M-matrix, which summarizes phenotypic variances and covariances introduced by new mutations per generation.
Genetic and selective constraints on the optimization of gene product diversity
Abstract RNA and protein expressed from the same gene can have diverse isoforms due to various post-transcriptional and post-translational modifications. For the vast majority of alternative isoforms, It is unknown whether they are adaptive or simply biological noise. As we cannot experimentally probe the function of each isoform, we can ask whether the distribution of isoforms across genes and across species is consistent with expectations from different evolutionary processes.
Alternative mutational architectures can produce identical M-matrices but lead to different patterns of macroevolutionary divergence
Abstract Explaining macroevolutionary divergence in light of population genetics requires understanding the extent to which the patterns of mutational input contribute to long-term trends. In the context of quantitative traits, mutational input is typically described by the mutational variance-covariance matrix, or the M-matrix, which summarizes phenotypic variances and covariances introduced by new mutations per generation.
Ascertainment bias in the genomic test of positive selection on regulatory sequences
Abstract Evolution of gene expression mediated by cis-regulatory changes is thought to be an important contributor to organismal adaptation, but identifying adaptive cis-regulatory changes is challenging due to the difficulty in knowing the expectation under no positive selection.
Detecting natural selection in trait-trait coevolution
Abstract No phenotypic trait evolves independently of all other traits, but the cause of trait-trait coevolution is poorly understood. While the coevolution could arise simply from pleiotropic mutations that simultaneously affect the traits concerned, it could also result from multivariate natural selection favoring certain trait relationships.
Alternative mutational architectures can produce identical M-matrices but lead to different macroevolutionary dynamics
Abstract Explaining macroevolutionary divergence in light of population genetics requires understanding the extent to which the patterns of mutational input contribute to long-term trends. In the context of quantitative traits, mutational input is typically described by the mutational variance-covariance matrix, or the M-matrix, which summarizes phenotypic variances and covariances introduced by new mutations per generation.
Decoupling of evolutionary changes in mRNA and protein levels
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The preponderance of nonsynonymous A-to-I RNA editing in coleoids is nonadaptive
Abstract A-to-I editing enzymatically converts the base adenosine (A) in RNA molecules to inosine (I), which is recognized as guanine (G) in translation. Exceptionally abundant A-to-I editing was recently discovered in the neural tissues of coleoids (octopuses, squids, and cuttlefishes), with a greater fraction of nonsynonymous sites than synonymous sites subject to high levels of editing.
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