ELTE Eötvös University, Department of Biological Physics, Pázmány Péter Sétány 1A, H-1117 Budapest, Hungary and MTA-ELTE Statistical and Biological Physics Research Group, Pázmány Péter Sétány 1A, H-1117 Budapest, Hungary.
ELTE Eötvös University, Department of Biological Physics, Pázmány Péter Sétány 1A, H-1117 Budapest, Hungary and MTA-ELTE "Lendület" Evolutionary Genomics Research Group, Pázmány Péter Sétány 1A, H-1117 Budapest, Hungary.
Phys Rev E. 2024 Apr;109(4-1):044407. doi: 10.1103/PhysRevE.109.044407.
All the cells of a multicellular organism are the product of cell divisions that trace out a single binary tree, the so-called cell lineage tree. Because cell divisions are accompanied by replication errors, the shape of the cell lineage tree is a key determinant of how somatic evolution, which can potentially lead to cancer, proceeds. Carcinogenesis requires the accumulation of a certain number of driver mutations. By mapping the accumulation of mutations into a graph theoretical problem, we present an exact numerical method to calculate the probability of collecting a given number of mutations and show that for low mutation rates it can be approximated with a simple analytical formula, which depends only on the distribution of the lineage lengths, and is dominated by the longest lineages. Our results are crucial in understanding how natural selection can shape the cell lineage trees of multicellular organisms and curtail somatic evolution.
多细胞生物的所有细胞都是细胞分裂的产物,这些分裂可以追溯到一个单一的二叉树,即所谓的细胞谱系树。由于细胞分裂伴随着复制错误,因此细胞谱系树的形状是体细胞进化(可能导致癌症)的关键决定因素。癌变需要积累一定数量的驱动突变。通过将突变的积累映射到图论问题中,我们提出了一种精确的数值方法来计算收集给定数量突变的概率,并表明对于低突变率,可以用仅依赖于谱系长度分布的简单解析公式来近似,并且主要由最长的谱系决定。我们的研究结果对于理解自然选择如何塑造多细胞生物的细胞谱系树以及限制体细胞进化至关重要。