Evidence map›Paper›PMID 42884809›Full record

ArticlePlants (Basel, Switzerland)2026

Development and Application of a KASP-Based SNP Marker System for Fingerprinting, and Genetic Diversity Analysis in Tomato.

Chao Yu, Shupeng Ying, Ruiyi Rong, Chenxu Liu, Jiashun Miao

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Chao YuCollaborative Innovation Center for Efficient and Green Production of Agriculture in Mountainous Areas, College of Horticulture, Zhejiang A&F University, Hangzhou 311300, China.ORCID 0000-0003-1700-684X
Shupeng YingCollaborative Innovation Center for Efficient and Green Production of Agriculture in Mountainous Areas, College of Horticulture, Zhejiang A&F University, Hangzhou 311300, China.
Ruiyi RongCollaborative Innovation Center for Efficient and Green Production of Agriculture in Mountainous Areas, College of Horticulture, Zhejiang A&F University, Hangzhou 311300, China.
Chenxu LiuState Key Laboratory for Quality and Safety of Agro-Products, Vegetable Research Institute, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.ORCID 0009-0008-7811-9147
Jiashun MiaoXianghu Laboratory, Hangzhou 311200, China.ORCID 0000-0002-5227-5431

Funding

Department of Science and Technology of Zhejiang Province 2024C02003National Natural Science Foundation of China 32472771, U24A20419Natural Science Foundation of Shandong Province ZR2024MC015
6 · The paper itself

Abstract

Tomato is an important vegetable crop worldwide with diverse uses. However, long-term domestication and modern breeding have narrowed the genetic basis of mainstream cultivars, leading to high genetic similarity among varieties. Therefore, developing practical molecular markers through genomic approaches has become an important way to effectively identify and utilize germplasm resources and overcome current breeding bottlenecks. This study aimed to screen high-quality single-nucleotide polymorphism (SNP) loci, develop reliable competitive allele-specific PCR (KASP) markers for genotyping tomato germplasm, and further construct DNA fingerprints and perform genetic diversity analysis, ultimately achieving accurate identification of tomato germplasm. Based on whole-genome resequencing of 241 tomato accessions (inbred lines and wild germplasm), 90 were successfully converted into functional KASP markers. According to polymorphic information content (PIC) and minor allele frequency (MAF), 50 core markers were further screened, with an average PIC of 0.357, an average gene diversity (GD) of 0.46, and an average heterozygosity of 0.063. 16 core SNP markers evenly distributed across 12 chromosomes were optimized, which effectively distinguished all tested accessions. Population structure analysis, principal component analysis (PCA), and phylogenetic analysis indicated that the 241 accessions could be clustered into four major subpopulations, consistent with the results derived from whole-genome SNP data. Finally, a DNA fingerprint of the 241 tomato accessions was constructed based on the 16 core markers. This study provides a robust and cost-effective molecular tool for tomato accession identification, germplasm resource conservation, and genetic diversity assessment.

Indexed as

fingerprint mapKASPSNPtomato

Identifiers

PMID42884809
PMCPMC13666781

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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.