Related Experiment Video
Updated: Jun 29, 2025
07:35
A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
Published on: October 13, 2023
1.6K
A new model construction based on the knowledge graph for mining elite polyphenotype genes in crops.
Dandan Zhang1, Ruixue Zhao1,2, Guojian Xian1,3
1Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing, China.
Frontiers in Plant Science
|April 4, 2024
Summary
Scientists developed a novel knowledge graph and model to identify elite polyphenotype genes that regulate multiple crop traits like yield and disease resistance. This approach accurately predicts gene-trait associations, aiding in developing improved crop varieties.
Area of Science:
- Agricultural Science
- Genomics
- Bioinformatics
Background:
- Identifying genes regulating multiple agronomic traits (polyphenotype genes) is crucial for crop improvement.
- Existing methods struggle to identify elite polyphenotype genes due to limitations in analyzing multi-dimensional genomic and phenotypic data.
- There is a need for advanced methods to predict gene-trait associations beyond individual traits.
Purpose of the Study:
- To construct a comprehensive knowledge graph integrating trait-regulating gene data from multiple databases.
- To develop a predictive model for identifying elite polyphenotype genes using knowledge graph attributes.
- To screen and validate polyphenotype genes for key agronomic traits in staple crops and model plants.
Main Methods:
- Data collection from PubMed and eight other databases for rice, maize, wheat, and Arabidopsis thaliana.
- Construction of a knowledge graph with 125,591 nodes and 547,224 semantic relationships.
- Development of a predictive model combining gene node attributes and topological relationships, coupled with a scoring method for elite gene screening.
Main Results:
- The knowledge graph-based model achieved high predictive performance: accuracy (0.89), precision (0.91), recall (0.96), and F1 score (0.94).
- Identified 4,447 polyphenotype genes for 31 trait combinations, including validated genes like rice IPA1 and Arabidopsis CUC2.
- Discovered a potential novel polyphenotype gene in wheat (TraesCS5A02G275900) and found significant overlap with transcriptome data for stress responses.
Conclusions:
- The knowledge graph-driven approach offers a novel and effective method for detecting elite polyphenotype genes.
- This methodology advances the prediction of complex gene-trait associations, facilitating the development of high-quality crop varieties.
- The identified polyphenotype genes provide valuable genetic resources for future crop breeding programs.
Related Concept Videos
01:18Polygenic Traits
65.8K
When more than one gene is responsible for a given phenotype, the trait is considered polygenic. Human height is a polygenic trait. Studies have uncovered hundreds of loci that influence height, and there are believed to be many more. Due to the high number of genes involved, as well as environmental and nutritional factors, height varies significantly within a given population. The distribution of height forms a bell-shaped curve, with relatively few individuals in the population at the...
65.8K
02:16Light Acquisition
8.5K
In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
8.5K
01:09Epistasis Analysis
5.0K
Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...
5.0K
01:11Genome-wide Association Studies-GWAS
13.4K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
GWAS does not require the identification of the target gene involved in...
13.4K
01:23Behavioral Genetics and Its Designs
363
Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
363
02:27Background and Environment Affect Phenotype
6.5K
Although the genetic makeup of an organism plays a major role in determining the phenotype, there are also several environmental factors, such as temperature, oxygen availability, presence of mutagens, that can alter an organism’s phenotype.
An example of how genetic background affects phenotype can be seen in horses. The Extension gene in horses is responsible for their coat color. A wild-type gene (EE) produces black pigment in the coat, while a mutant gene (ee) produces red pigment. A...
An example of how genetic background affects phenotype can be seen in horses. The Extension gene in horses is responsible for their coat color. A wild-type gene (EE) produces black pigment in the coat, while a mutant gene (ee) produces red pigment. A...
6.5K