ArticleScientific reports2020
Analysis of the genes controlling three quantitative traits in three diverse plant species reveals the molecular basis of quantitative traits.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed, 45 citations in OpenAlex.
- Comprehensive Identification ofBiology · 2026Article
- Comprehensive Candidate Gene for Ginsenoside Rg1 Biosynthesis: Identification, Systematic Analysis, and Verification.Plants (Basel, Switzerland) · 2026Article
- Genome-wide and co-expression network dissection ofFrontiers in plant science · 2026Article
- Genetic mapping of a chickpea (Cicer arietinum L.) diversity panel for mineral biofortification towards human nutrition.The plant genome · 2025Article
- Functional Study ofPlants (Basel, Switzerland) · 2025Article
- Analysis of Phenotypic Diversity and Comprehensive Evaluation of 51Plants (Basel, Switzerland) · 2025Article
- Phenotypic Diversity Analysis and Integrative Evaluation ofPlants (Basel, Switzerland) · 2025Article
- Article
- Computational Identification of Milk Trait Regulation Through Transcription Factor Cooperation in Murciano-Granadina Goats.Biology · 2024Article
- Identification ofPlants (Basel, Switzerland) · 2024Article
- Transcriptome-Wide Identification and Integrated Analysis of aPlants (Basel, Switzerland) · 2024Article
- Alternative Splicing Variation: Accessing and Exploiting in Crop Improvement Programs.International journal of molecular sciences · 2023Review
- Molecular, genetic, and genomic basis of seed size and yield characteristics in soybean.Frontiers in plant science · 2023Review
- Genetic and molecular dissection of ginseng (Frontiers in plant science · 2023Article
- The Current Developments in Medicinal Plant Genomics Enabled the Diversification of Secondary Metabolites' Biosynthesis.International journal of molecular sciences · 2022Review
- Transcriptome and Phenotype Integrated Analysis Identifies Genes Controlling Ginsenoside Rb1 Biosynthesis and Reveals Their Interactions in the Process inInternational journal of molecular sciences · 2022Article
- A multi-trait multi-locus stepwise approach for conducting GWAS on correlated traits.The plant genome · 2022Article
- Article
- Leveraging a graft collection to develop metabolome-based trait prediction for the selection of tomato rootstocks with enhanced salt tolerance.Horticulture research · 2022Article
- Design and Analysis of Native Photorespiration Gene Motifs of Promoter Untranslated Region Combinations Under Short Term Abiotic Stress Conditions.Frontiers in plant science · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Most traits of agricultural importance are quantitative traits controlled by numerous genes. However, it remains unclear about the molecular mechanisms underpinning quantitative traits. Here, we report the molecular characteristics of the genes controlling three quantitative traits randomly selected from three diverse plant species, including ginsenoside biosynthesis in ginseng (Panax ginseng C.A. Meyer), fiber length in cotton (Gossypium hirsutum L. and G. barbadense L.) and grain yield in maize (Zea mays L.). We found that a vast majority of the genes controlling a quantitative trait were significantly more likely spliced into multiple transcripts while they expressed. Nevertheless, only one to four, but not all, of the transcripts spliced from each of the genes were significantly correlated with the phenotype of the trait. The genes controlling a quantitative trait were multiple times more likely to form a co-expression network than other genes expressed in an organ. The network varied substantially among genotypes of a species and was associated with their phenotypes. These findings indicate that the genes controlling a quantitative trait are more likely pleiotropic and functionally correlated, thus providing new insights into the molecular basis underpinning quantitative traits and knowledge necessary to develop technologies for efficient manipulation of quantitative traits.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.