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The simplicity of metazoan cell lineages

机译:后生细胞谱系的简单性

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Developmental processes are thought to be highly complex, but there have been few attempts to measure and compare such complexity across different groups of organisms. Here we introduce a measure of biological complexity based on the similarity between developmental and computer programs. We define the algorithmic complexity of a cell lineage as the length of the shortest description of the lineage based on its constituent sublineages. We then use this measure to estimate the complexity of the embryonic lineages of four metazoan species from two different phyla. We find that these cell lineages are significantly simpler than would be expected by chance. Furthermore, evolutionary simulations show that the complexity of the embryonic lineages surveyed is near that of the simplest lineages evolvable, assuming strong developmental constraints on the spatial positions of cells and stabilizing selection on cell number. We propose that selection for decreased complexity has played a major role in moulding metazoan cell lineages.
机译:发育过程被认为是高度复杂的,但是几乎没有尝试测量和比较不同生物体之间的这种复杂性。在这里,我们介绍一种基于开发程序和计算机程序之间相似性的生物学复杂性度量。我们将细胞谱系的算法复杂度定义为基于其组成子谱系的谱系最短描述的长度。然后,我们使用此度量来估计来自两个不同门的四个后生物种的胚胎谱系的复杂性。我们发现这些细胞谱系比偶然预期的要简单得多。此外,进化模拟表明,所调查的胚胎谱系的复杂性接近于可进化的最简单谱系的复杂性,前提是对细胞空间位置的发展有严格的限制,并且对细胞数目的选择具有稳定的选择。我们建议降低复杂性的选择已在塑造后生细胞谱系中发挥了重要作用。

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