Frontiers in Plant Science | |
The genetic architecture of trait covariation in Populus euphratica, a desert tree | |
Plant Science | |
Huiying Gong1  Dengcheng Yang1  Meixia Ye1  Rongling Wu2  Xiao-Yu Zhang3  Kaiyan Lu3  Xueshun Wang4  Qing Fang5  | |
[1] College of Biological Sciences and Technology, Center for Computational Biology, Beijing Forestry University, Beijing, China;College of Biological Sciences and Technology, Center for Computational Biology, Beijing Forestry University, Beijing, China;Yau Mathematical Sciences Center, Tsinghua University, Beijing, China;College of Science, Beijing Forestry University, Beijing, China;Department of Artificial Intelligence and Data Science, Guangzhou Xinhua University, Guangzhou, China;Faculty of Science, Yamagata University, Yamagata, Japan; | |
关键词: Populus euphratica; differential equation; cooperation-competition; QTL mapping; genetic regulatory network; | |
DOI : 10.3389/fpls.2023.1149879 | |
received in 2023-01-23, accepted in 2023-03-20, 发布年份 2023 | |
来源: Frontiers | |
【 摘 要 】
IntroductionThe cooperative strategy of phenotypic traits during the growth of plants reflects how plants allocate photosynthesis products, which is the most favorable decision for them to optimize growth, survival, and reproduction response to changing environment. Up to now, we still know little about why plants make such decision from the perspective of biological genetic mechanisms.MethodsIn this study, we construct an analytical mapping framework to explore the genetic mechanism regulating the interaction of two complex traits. The framework describes the dynamic growth of two traits and their interaction as Differential Interaction Regulatory Equations (DIRE), then DIRE is embedded into QTL mapping model to identify the key quantitative trait loci (QTLs) that regulate this interaction and clarify the genetic effect, genetic contribution and genetic network structure of these key QTLs. Computer simulation experiment proves the reliability and practicability of our framework.ResultsIn order to verify that our framework is universal and flexible, we applied it to two sets of data from Populus euphratica, namely, aboveground stem length - underground taproot length, underground root number - underground root length, which represent relationships of phenotypic traits in two spatial dimensions of plant architecture. The analytical result shows that our model is well applicable to datasets of two dimensions.DiscussionOur model helps to better illustrate the cooperation-competition patterns between phenotypic traits, and understand the decisions that plants make in a specific environment that are most conducive to their growth from the genetic perspective.
【 授权许可】
Unknown
Copyright © 2023 Lu, Wang, Gong, Yang, Ye, Fang, Zhang and Wu
【 预 览 】
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