The genetic architecture of trait covariation in Populus euphratica, a desert tree
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 a...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-04-01
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| Series: | Frontiers in Plant Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2023.1149879/full |
| _version_ | 1797852179436929024 |
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| author | Kaiyan Lu Xueshun Wang Huiying Gong Dengcheng Yang Meixia Ye Qing Fang Xiao-Yu Zhang Rongling Wu Rongling Wu |
| author_facet | Kaiyan Lu Xueshun Wang Huiying Gong Dengcheng Yang Meixia Ye Qing Fang Xiao-Yu Zhang Rongling Wu Rongling Wu |
| author_sort | Kaiyan Lu |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-09T19:29:21Z |
| format | Article |
| id | doaj.art-e2ef59b1f2154fc0854e5c38e374919a |
| institution | Directory Open Access Journal |
| issn | 1664-462X |
| language | English |
| last_indexed | 2024-04-09T19:29:21Z |
| publishDate | 2023-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Plant Science |
| spelling | doaj.art-e2ef59b1f2154fc0854e5c38e374919a2023-04-05T04:56:32ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2023-04-011410.3389/fpls.2023.11498791149879The genetic architecture of trait covariation in Populus euphratica, a desert treeKaiyan Lu0Xueshun Wang1Huiying Gong2Dengcheng Yang3Meixia Ye4Qing Fang5Xiao-Yu Zhang6Rongling Wu7Rongling Wu8College of Science, Beijing Forestry University, Beijing, ChinaDepartment of Artificial Intelligence and Data Science, Guangzhou Xinhua University, Guangzhou, ChinaCollege of Biological Sciences and Technology, Center for Computational Biology, Beijing Forestry University, Beijing, ChinaCollege of Biological Sciences and Technology, Center for Computational Biology, Beijing Forestry University, Beijing, ChinaCollege of Biological Sciences and Technology, Center for Computational Biology, Beijing Forestry University, Beijing, ChinaFaculty of Science, Yamagata University, Yamagata, JapanCollege of Science, Beijing Forestry University, Beijing, ChinaCollege of Biological Sciences and Technology, Center for Computational Biology, Beijing Forestry University, Beijing, ChinaYau Mathematical Sciences Center, Tsinghua University, Beijing, ChinaIntroductionThe 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.https://www.frontiersin.org/articles/10.3389/fpls.2023.1149879/fullPopulus euphraticadifferential equationcooperation-competitionQTL mappinggenetic regulatory network |
| spellingShingle | Kaiyan Lu Xueshun Wang Huiying Gong Dengcheng Yang Meixia Ye Qing Fang Xiao-Yu Zhang Rongling Wu Rongling Wu The genetic architecture of trait covariation in Populus euphratica, a desert tree Frontiers in Plant Science Populus euphratica differential equation cooperation-competition QTL mapping genetic regulatory network |
| title | The genetic architecture of trait covariation in Populus euphratica, a desert tree |
| title_full | The genetic architecture of trait covariation in Populus euphratica, a desert tree |
| title_fullStr | The genetic architecture of trait covariation in Populus euphratica, a desert tree |
| title_full_unstemmed | The genetic architecture of trait covariation in Populus euphratica, a desert tree |
| title_short | The genetic architecture of trait covariation in Populus euphratica, a desert tree |
| title_sort | genetic architecture of trait covariation in populus euphratica a desert tree |
| topic | Populus euphratica differential equation cooperation-competition QTL mapping genetic regulatory network |
| url | https://www.frontiersin.org/articles/10.3389/fpls.2023.1149879/full |
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