Literature DB >> 28158473

How trees allocate carbon for optimal growth: insight from a game-theoretic model.

Liyong Fu1,2, Lidan Sun3, Han Hao4,5, Libo Jiang6, Sheng Zhu7, Meixia Ye6, Shouzheng Tang8, Minren Huang7, Rongling Wu9.   

Abstract

How trees allocate photosynthetic products to primary height growth and secondary radial growth reflects their capacity to best use environmental resources. Despite substantial efforts to explore tree height-diameter relationship empirically and through theoretical modeling, our understanding of the biological mechanisms that govern this phenomenon is still limited. By thinking of stem woody biomass production as an ecological system of apical and lateral growth components, we implement game theory to model and discern how these two components cooperate symbiotically with each other or compete for resources to determine the size of a tree stem. This resulting allometry game theory is further embedded within a genetic mapping and association paradigm, allowing the genetic loci mediating the carbon allocation of stemwood growth to be characterized and mapped throughout the genome. Allometry game theory was validated by analyzing a mapping data of stem height and diameter growth over perennial seasons in a poplar tree. Several key quantitative trait loci were found to interpret the process and pattern of stemwood growth through regulating the ecological interactions of stem apical and lateral growth. The application of allometry game theory enables the prediction of the situations in which the cooperation, competition or altruism is an optimal decision of a tree to fully use the environmental resources it owns.

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Year:  2018        PMID: 28158473     DOI: 10.1093/bib/bbx003

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  2 in total

1.  A Computational Model for Inferring QTL Control Networks Underlying Developmental Covariation.

Authors:  Libo Jiang; Hexin Shi; Mengmeng Sang; Chenfei Zheng; Yige Cao; Xuli Zhu; Xiaokang Zhuo; Tangren Cheng; Qixiang Zhang; Rongling Wu; Lidan Sun
Journal:  Front Plant Sci       Date:  2019-12-18       Impact factor: 5.753

2.  A Single-Cell Omics Network Model of Cell Crosstalk during the Formation of Primordial Follicles.

Authors:  Qian Wang; Ang Dong; Libo Jiang; Christopher Griffin; Rongling Wu
Journal:  Cells       Date:  2022-01-20       Impact factor: 6.600

  2 in total

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