Branching architecture affects genetic diversity within an individual tree.

IF 1.9 4区 数学 Q2 BIOLOGY
Sou Tomimoto, Yoh Iwasa, Akiko Satake
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引用次数: 0

Abstract

While a tree grows over many years, somatic mutations accumulate and form genetic variation among branches within an individual. Trees can transmit such mutations to subsequent generations, potentially enhancing the genetic diversity of the population. We study a mathematical model to understand the relationship between within-individual genetic variation and branching architecture. We generate branching architecture by repeatedly adding two new branches (main and lateral daughter branches) to each terminal branch (mother branch). The architecture is characterized by two key parameters: main-lateral ratio (ML) and daughter-mother ratio (DM). During branch elongation, somatic mutations accumulate in the stem cells of a shoot apical meristem (SAM) at the tip of each branch. In branching, all the stem cells are passed on from the mother to the main daughter branch, but only one stem cell is chosen for the lateral daughter branch. We evaluate genetic variation by Z¯, the mean genetic differences between all pairs of branches of a tree, and examine how Z¯ varies with DM and ML while keeping the total branch length constant. As a result, (1) Z¯ increases monotonically with ML; (2) Z¯ attains the maximum for an intermediate DM, when stem cells in a SAM are genetically homogeneous; (3) Z¯ decreases monotonically with DM when stem cells are heterogeneous. The effect of branching architecture varies significantly depending on the genetic heterogeneity within a SAM, which results from the behavior of stem cells during growth. Our study sheds light on the overlooked role of branching architecture in storing genetic diversity.

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来源期刊
CiteScore
4.20
自引率
5.00%
发文量
218
审稿时长
51 days
期刊介绍: The Journal of Theoretical Biology is the leading forum for theoretical perspectives that give insight into biological processes. It covers a very wide range of topics and is of interest to biologists in many areas of research, including: • Brain and Neuroscience • Cancer Growth and Treatment • Cell Biology • Developmental Biology • Ecology • Evolution • Immunology, • Infectious and non-infectious Diseases, • Mathematical, Computational, Biophysical and Statistical Modeling • Microbiology, Molecular Biology, and Biochemistry • Networks and Complex Systems • Physiology • Pharmacodynamics • Animal Behavior and Game Theory Acceptable papers are those that bear significant importance on the biology per se being presented, and not on the mathematical analysis. Papers that include some data or experimental material bearing on theory will be considered, including those that contain comparative study, statistical data analysis, mathematical proof, computer simulations, experiments, field observations, or even philosophical arguments, which are all methods to support or reject theoretical ideas. However, there should be a concerted effort to make papers intelligible to biologists in the chosen field.
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