ReviewPlant communications2025
The genomic design of fruit metabolomes.
Review in Plant communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Advances in genomics-driven genetic decoding and genomic design breeding in tomato.Horticulture research · 2026Article
- Comparative Characterization of Volatile Flavor Profiles and Key Markers in Early-, Mid-, and Late-Ripening Honey Peach (Prunus persica L. Batsch) Cultivars Using GC-IMS and HS-GC-MS.Journal of food science · 2026Article
- Kiwifruit genomics and applications: recent advances, current challenges, and future prospects.Horticulture research · 2026Article
- Advances in the Regulatory Mechanism of Enzymes Involved in Soluble Sugar Metabolism in Fruits.Plants (Basel, Switzerland) · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
As a major source of vitamins, minerals, and dietary fiber, fruits are critical to global nutritional security. Domestication and crop improvement have increased fruit yield and disease resistance but reduced flavor and aroma. With the rapid development of multi-omics, including genomics and metabolomics, and gene-editing technologies such as CRISPR-Cas9, it has become feasible to improve fruit quality through genome design. However, the sensory traits of fruits, including sweetness, sourness, aroma, and color, are complex and regulated by multiple genes, presenting challenges for the study of their genetic basis. Metabolomics, when combined with reverse genetics, reflects gene expression and protein-protein interactions underlying fruit sensory traits more intuitively than other omics approaches. Establishing correlations between metabolites and phenotypic changes and integrating metabolomics with other omics data are crucial aspects of metabolomics research on fruit quality and genomics-assisted breeding. This paper provides a comprehensive review of research on the metabolomics of fruit sensory traits, alongside future prospects for integrating genomic design with metabolomics. It aims to deepen the understanding of multi-omics technologies, promote the application and advancement of metabolomics in fruit research, and establish a robust theoretical foundation for improving fruit sensory quality.
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.