ArticleThe plant genome2025
Analysis of candidate genes identified via genome-wide association analysis of sugar-related traits in maize kernels.
Article in The plant genome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Genome-Wide Association Study of Plant and Ear Height in Maize (Plants (Basel, Switzerland) · 2026Article
- Analysis of candidate genes identified via genome-wide association analysis of sugar-related traits in maize kernels.The plant genome · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Maize (Zea mays L.) is a globally significant crop, with its kernel sugar content playing a crucial role in determining nutritional quality and industrial applications. This study aimed to elucidate the genetic mechanisms underlying sugar-related traits in maize kernels through genome-wide association studies. We evaluated 495 maize inbred lines for reducing sugar content, soluble sugar content, and the reducing/soluble sugar ratio. Phenotypic analysis revealed substantial variation, with coefficients of variation ranging from 28.84% to 53.86%, and high broad-sense heritability (87.90%-93.98%). Using 12,617,573 high-quality single-nucleotide polymorphisms, we identified 93 significant quantitative trait nucleotides associated with these traits. Transcriptomic data from the maize inbred line B73 highlighted six candidate genes (Zm00001d040189, Zm00001d032517, Zm00001d052399, Zm00001d028974, Zm00001d036971, and Zm00001d022316) with high expression during kernel development. Protein-protein interaction and coexpression network analyses suggested that these genes are involved in metabolic processes, cell communication, and carbohydrate metabolism. Haplotype analysis further revealed that the optimal haplotypes of the six candidate genes could increase the kernel sugar content without affecting the yield traits of maize. These findings advance our understanding of the genetic basis of sugar-related traits in maize and offer valuable molecular markers for future breeding programs.
Indexed as
Identifiers
What Socratic 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 Socratic graph.