simulated evolution

  • 文章类型: Journal Article
    植物细胞拥有两个膜结合的细胞器,它们含有自己的遗传物质-质体和线粒体。尽管这两个细胞器在同一植物细胞内共存并共同进化,它们的基因组拷贝数不同,细胞内组织,和隔离模式。这些属性如何影响固定时间,或者相反,中性等位基因的丢失目前尚未解决。在这里,我们表明线粒体和质体共享相同的突变率,但与线粒体等位基因相比,质体等位基因保持在异质状态的时间明显更长。通过分析海洋开花植物Zosteramarina种群的遗传变异并模拟细胞器等位基因动态,我们研究了等位基因分离和等位基因固定的决定因素。我们的结果表明,细胞群体的瓶颈,例如,在分枝或播种期间,和分生组织的分层,是线粒体等位基因动力学的重要决定因素。此外,我们认为,延长质体等位基因动力学是由于一个未知的活性质体分配机制。质体和线粒体新等位基因固定在不同组织水平上的差异可能表现为适应过程的差异。我们的研究揭示了细胞器种群遗传学的基本原理,这些原理对于进一步研究分歧事件的长期进化和分子年代至关重要。
    Plant cells harbor two membrane-bound organelles containing their own genetic material-plastids and mitochondria. Although the two organelles coexist and coevolve within the same plant cells, they differ in genome copy number, intracellular organization, and mode of segregation. How these attributes affect the time to fixation or, conversely, loss of neutral alleles is currently unresolved. Here, we show that mitochondria and plastids share the same mutation rate, yet plastid alleles remain in a heteroplasmic state significantly longer compared with mitochondrial alleles. By analyzing genetic variants across populations of the marine flowering plant Zostera marina and simulating organelle allele dynamics, we examine the determinants of allele segregation and allele fixation. Our results suggest that the bottlenecks on the cell population, e.g. during branching or seeding, and stratification of the meristematic tissue are important determinants of mitochondrial allele dynamics. Furthermore, we suggest that the prolonged plastid allele dynamics are due to a yet unknown active plastid partition mechanism. The dissimilarity between plastid and mitochondrial novel allele fixation at different levels of organization may manifest in differences in adaptation processes. Our study uncovers fundamental principles of organelle population genetics that are essential for further investigations of long-term evolution and molecular dating of divergence events.
    导出

    更多引用

    收藏

    翻译标题摘要

    我要上传

       PDF(Pubmed)

  • 文章类型: Journal Article
    Phylogenetic comparative methods allow us to test evolutionary hypotheses without the benefit of an extensive fossil record. These methods, however, make simplifying assumptions, among them that clades are always increasing or stable in diversity, an assumption we know to be false. This study simulates hypothetical clades to test whether the Binary State Speciation and Extinction (BiSSE) method can be used to correctly detect relative differences in diversification rate between ancestral and derived character states even as net diversification rates are declining overall. We simulate clades with declining but positive diversification rates, as well those in which speciation rates decline below extinction rates so that they are losing richness for part of their history. We run these analyses both with simulated symmetric and asymmetric speciation rates to test whether BiSSE can be used to detect them correctly.
    For simulations with a neutral character, the fit for a BiSSE model with a neutral character is better than alternative models so long as net diversification rates remain positive. Once net diversification rates become negative, the BiSSE model with the greatest likelihood often has a non-neutral character, even though there is no such character in the simulation. BiSSE\'s usefulness in detecting real asymmetry in speciation rates improves with clade age, even well after net diversification rates have become negative.
    BiSSE is most useful in analyzing clades of intermediate age, before they have reached peak diversity and gone into decline. After this point, users of BiSSE risk incorrectly inferring differential evolutionary rates when none exist. Fortunately, most studies using BiSSE and similar models focus on rapid, recent diversifications, and are less likely to encounter the biases BiSSE models are subject to for older clades. For extant groups that were once more diverse than now, however, caution should be taken in inferring past diversification patterns without fossil data.
    导出

    更多引用

    收藏

    翻译标题摘要

    我要上传

       PDF(Pubmed)

公众号