The genetic architecture of trait covariation in Populus euphratica, a desert tree Article Swipe
Kaiyan Lu
,
Xueshun Wang
,
Huiying Gong
,
Dengcheng Yang
,
Meixia Ye
,
Qing Fang
,
Xiaoyu Zhang
,
Rongling Wu
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3389/fpls.2023.1149879
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3389/fpls.2023.1149879
Introduction The 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. Methods In 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. Results In 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. Discussion Our 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.
Related Topics
Concepts
Genetic architecture
Quantitative trait locus
Populus euphratica
Trait
Biology
Taproot
Interaction network
Tree (set theory)
Epistasis
Phenotypic trait
Construct (python library)
Quantitative genetics
Computer science
Ecology
Phenotype
Genetic variation
Genetics
Mathematics
Botany
Mathematical analysis
Gene
Programming language
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fpls.2023.1149879
- https://www.frontiersin.org/articles/10.3389/fpls.2023.1149879/pdf
- OA Status
- gold
- Cited By
- 3
- References
- 55
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4362624058
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4362624058Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3389/fpls.2023.1149879Digital Object Identifier
- Title
-
The genetic architecture of trait covariation in Populus euphratica, a desert treeWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-04-05Full publication date if available
- Authors
-
Kaiyan Lu, Xueshun Wang, Huiying Gong, Dengcheng Yang, Meixia Ye, Qing Fang, Xiaoyu Zhang, Rongling WuList of authors in order
- Landing page
-
https://doi.org/10.3389/fpls.2023.1149879Publisher landing page
- PDF URL
-
https://www.frontiersin.org/articles/10.3389/fpls.2023.1149879/pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.frontiersin.org/articles/10.3389/fpls.2023.1149879/pdfDirect OA link when available
- Concepts
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Genetic architecture, Quantitative trait locus, Populus euphratica, Trait, Biology, Taproot, Interaction network, Tree (set theory), Epistasis, Phenotypic trait, Construct (python library), Quantitative genetics, Computer science, Ecology, Phenotype, Genetic variation, Genetics, Mathematics, Botany, Mathematical analysis, Gene, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
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3Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 1, 2014: 1Per-year citation counts (last 5 years)
- References (count)
-
55Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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