Computational dissection of genetic variation modulating the response of multiple photosynthetic phenotypes to the light environment
Abstract Background The expression of biological traits is modulated by genetics as well as the environment, and the level of influence exerted by the latter may vary across characteristics. Photosynthetic traits in plants are complex quantitative traits that are regulated by both endogenous genetic...
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| Format: | Article |
| Language: | English |
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BMC
2024-01-01
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| Series: | BMC Genomics |
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| Online Access: | https://doi.org/10.1186/s12864-024-09968-8 |
| _version_ | 1797350152449556480 |
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| author | Huiying Gong Ziyang Zhou Chenhao Bu Deqiang Zhang Qing Fang Xiao-Yu Zhang Yuepeng Song |
| author_facet | Huiying Gong Ziyang Zhou Chenhao Bu Deqiang Zhang Qing Fang Xiao-Yu Zhang Yuepeng Song |
| author_sort | Huiying Gong |
| collection | DOAJ |
| description | Abstract Background The expression of biological traits is modulated by genetics as well as the environment, and the level of influence exerted by the latter may vary across characteristics. Photosynthetic traits in plants are complex quantitative traits that are regulated by both endogenous genetic factors and external environmental factors such as light intensity and CO2 concentration. The specific processes impacted occur dynamically and continuously as the growth of plants changes. Although studies have been conducted to explore the genetic regulatory mechanisms of individual photosynthetic traits or to evaluate the effects of certain environmental variables on photosynthetic traits, the systematic impact of environmental variables on the dynamic process of integrated plant growth and development has not been fully elucidated. Results In this paper, we proposed a research framework to investigate the genetic mechanism of high-dimensional complex photosynthetic traits in response to the light environment at the genome level. We established a set of high-dimensional equations incorporating environmental regulators to integrate functional mapping and dynamic screening of gene‒environment complex systems to elucidate the process and pattern of intrinsic genetic regulatory mechanisms of three types of photosynthetic phenotypes of Populus simonii that varied with light intensity. Furthermore, a network structure was established to elucidate the crosstalk among significant QTLs that regulate photosynthetic phenotypic systems. Additionally, the detection of key QTLs governing the response of multiple phenotypes to the light environment, coupled with the intrinsic differences in genotype expression, provides valuable insights into the regulatory mechanisms that drive the transition of photosynthetic activity and photoprotection in the face of varying light intensity gradients. Conclusions This paper offers a comprehensive approach to unraveling the genetic architecture of multidimensional variations in photosynthetic phenotypes, considering the combined impact of integrated environmental factors from multiple perspectives. |
| first_indexed | 2024-03-08T12:40:40Z |
| format | Article |
| id | doaj.art-b50a2c182bcb4f9eaf8a3d74ad72d4f6 |
| institution | Directory Open Access Journal |
| issn | 1471-2164 |
| language | English |
| last_indexed | 2024-03-08T12:40:40Z |
| publishDate | 2024-01-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Genomics |
| spelling | doaj.art-b50a2c182bcb4f9eaf8a3d74ad72d4f62024-01-21T12:11:55ZengBMCBMC Genomics1471-21642024-01-0125112110.1186/s12864-024-09968-8Computational dissection of genetic variation modulating the response of multiple photosynthetic phenotypes to the light environmentHuiying Gong0Ziyang Zhou1Chenhao Bu2Deqiang Zhang3Qing Fang4Xiao-Yu Zhang5Yuepeng Song6College of Science, Beijing Forestry UniversityCollege of Science, Beijing Forestry UniversityCollege of Biological Sciences and Technology, Beijing Forestry UniversityCollege of Biological Sciences and Technology, Beijing Forestry UniversityFaculty of Science, Yamagata UniversityCollege of Science, Beijing Forestry UniversityCollege of Biological Sciences and Technology, Beijing Forestry UniversityAbstract Background The expression of biological traits is modulated by genetics as well as the environment, and the level of influence exerted by the latter may vary across characteristics. Photosynthetic traits in plants are complex quantitative traits that are regulated by both endogenous genetic factors and external environmental factors such as light intensity and CO2 concentration. The specific processes impacted occur dynamically and continuously as the growth of plants changes. Although studies have been conducted to explore the genetic regulatory mechanisms of individual photosynthetic traits or to evaluate the effects of certain environmental variables on photosynthetic traits, the systematic impact of environmental variables on the dynamic process of integrated plant growth and development has not been fully elucidated. Results In this paper, we proposed a research framework to investigate the genetic mechanism of high-dimensional complex photosynthetic traits in response to the light environment at the genome level. We established a set of high-dimensional equations incorporating environmental regulators to integrate functional mapping and dynamic screening of gene‒environment complex systems to elucidate the process and pattern of intrinsic genetic regulatory mechanisms of three types of photosynthetic phenotypes of Populus simonii that varied with light intensity. Furthermore, a network structure was established to elucidate the crosstalk among significant QTLs that regulate photosynthetic phenotypic systems. Additionally, the detection of key QTLs governing the response of multiple phenotypes to the light environment, coupled with the intrinsic differences in genotype expression, provides valuable insights into the regulatory mechanisms that drive the transition of photosynthetic activity and photoprotection in the face of varying light intensity gradients. Conclusions This paper offers a comprehensive approach to unraveling the genetic architecture of multidimensional variations in photosynthetic phenotypes, considering the combined impact of integrated environmental factors from multiple perspectives.https://doi.org/10.1186/s12864-024-09968-8PhotosynthesisElectron transport ratePhotochemical quenchingNonphotochemical quenchingLight environmentGenetic variation |
| spellingShingle | Huiying Gong Ziyang Zhou Chenhao Bu Deqiang Zhang Qing Fang Xiao-Yu Zhang Yuepeng Song Computational dissection of genetic variation modulating the response of multiple photosynthetic phenotypes to the light environment BMC Genomics Photosynthesis Electron transport rate Photochemical quenching Nonphotochemical quenching Light environment Genetic variation |
| title | Computational dissection of genetic variation modulating the response of multiple photosynthetic phenotypes to the light environment |
| title_full | Computational dissection of genetic variation modulating the response of multiple photosynthetic phenotypes to the light environment |
| title_fullStr | Computational dissection of genetic variation modulating the response of multiple photosynthetic phenotypes to the light environment |
| title_full_unstemmed | Computational dissection of genetic variation modulating the response of multiple photosynthetic phenotypes to the light environment |
| title_short | Computational dissection of genetic variation modulating the response of multiple photosynthetic phenotypes to the light environment |
| title_sort | computational dissection of genetic variation modulating the response of multiple photosynthetic phenotypes to the light environment |
| topic | Photosynthesis Electron transport rate Photochemical quenching Nonphotochemical quenching Light environment Genetic variation |
| url | https://doi.org/10.1186/s12864-024-09968-8 |
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