ArticleBMC plant biology2020
QTL mapping and transcriptome analysis identify candidate genes regulating pericarp thickness in sweet corn.
Article in BMC plant biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed.
- Integrative QTL mapping and transcriptomic profiling uncover molecular mechanisms underlying lodging resistance inHorticulture research · 2026Review
- Integrating QTL mapping with transcriptome analysis uncovers candidate genes of ear length in maize.BMC plant biology · 2026Article
- Integrating GWAS and gene expression to decipher genetic components of pericarp thickness and soluble sugars in sweet corn.BMC plant biology · 2026Article
- Transactivation of AGPL2 by Opaque2 is responsible for starch accumulation and kernel hardness in sweet corn.Journal of experimental botany · 2026Article
- Characterization of Grain Structure Using Micro-CT and Identification of Related Candidate Genes by QTL Mapping in Foxtail Millet.Plants (Basel, Switzerland) · 2025Article
- Meta-QTL analysis for mining key genes associated with seed oil content in maize.BMC plant biology · 2025Article
- Combined transcriptome, metabolome, and miRNA analysis reveals the genetic regulatory network of sweet corn pericarp thickness.Frontiers in plant science · 2025Article
- Quantitative Trait Locus Mapping Combined with RNA Sequencing Identified Candidate Genes for Resistance to Powdery Mildew in Bitter Gourd (International journal of molecular sciences · 2024Article
- Comparative Transcriptome Analysis Reveals Key Functions of MiMYB Gene Family in Macadamia Nut Pericarp Formation.International journal of molecular sciences · 2024Article
- Genetic analysis and QTL mapping for pericarp thickness in maize (Zea mays L.).BMC plant biology · 2024Article
- Transcriptome, Plant Hormone, and Metabolome Analysis Reveals the Mechanism of Purple Pericarp Formation in 'Zihui' Papaya (Molecules (Basel, Switzerland) · 2024Article
- Review on blueberry drought tolerance from the perspective of cultivar improvement.Frontiers in plant science · 2024Review
- Increasing aleurone layer number and pericarp yield for elevated nutrient content in maize.G3 (Bethesda, Md.) · 2023Article
- Combined linkage mapping and association analysis uncovers candidate genes for 25 leaf-related traits across three environments in maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- OMICS in Fodder Crops: Applications, Challenges, and Prospects.Current issues in molecular biology · 2022Review
- Combined QTL mapping and RNA-Seq pro-filing reveal candidate genes related to low-temperature tolerance in maize.Molecular breeding : new strategies in plant improvement · 2022Article
- Integrative analysis of transcriptome and miRNAome reveals molecular mechanisms regulating pericarp thickness in sweet corn during kernel development.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
9 authors.
Funding
Abstract
backgroundIn recent years, the planting area of sweet corn in China has expanded rapidly. Some new varieties with high yields and good adaptabilities have emerged. However, the improvement of edible quality traits, especially through the development of varieties with thin pericarp thickness, has not been achieved to date. Pericarp thickness is a complex trait that is the key factor determining the edible quality of sweet corn. Genetic mapping combined with transcriptome analysis was used to identify candidate genes controlling pericarp thickness.
resultsTo identify novel quantitative trait loci (QTLs) for pericarp thickness, a sweet corn BC
conclusionsThis study identified a major QTL and candidate genes that could accelerate breeding for the thin pericarp thickness variety of sweet corn, and these results established the basis for map-based cloning and further functional research.
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.