Evidence map›Paper›PMID 41898573›Full record

ArticleInternational journal of molecular sciences2026

Development and Application of KASP Markers for Candidate Glucosinolate Biosynthesis Genes in Broccoli.

Sifan Du, Yusen Shen, Mengfei Song, Xiaoguang Sheng, Huifang Yu, Shuting Qiao, Jiaojiao Li, Honghui Gu, Zihong Ye, Jiansheng Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

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.

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

10 authors.

Sifan DuCollege of Life Sciences, China Jiliang University, Hangzhou 310018, China.
Yusen ShenInstitute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
Mengfei SongInstitute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
Xiaoguang ShengInstitute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
Huifang YuInstitute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
Shuting QiaoInstitute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
Jiaojiao LiInstitute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
Honghui GuInstitute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
Zihong YeCollege of Life Sciences, China Jiliang University, Hangzhou 310018, China.ORCID 0000-0002-5827-3699
Jiansheng WangInstitute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.ORCID 0009-0002-6203-8517

Funding

National Science Foundation of China 32272746 and 32402566Zhejiang Provincial "Agriculture, Rural Areas, and Farmers - Multi-party Collaboration" Science and Technology Cooperation Project 2025SNJF033Zhejiang Provincial Major Agricultural Technology Coordinated Promotion Project 2025ZDXT04-2
6 · The paper itself

Abstract

Broccoli is rich in glucosinolates (GSLs), secondary metabolites that contribute to both plant defense and human health. Optimizing the composition of major aliphatic GSLs is an important breeding objective, yet robust molecular markers for marker-assisted selection (MAS) remain limited. In this study, candidate gene-based kompetitive allele-specific PCR (KASP) markers were developed from conserved GSL biosynthesis genes, focusing on

Indexed as

BrassicaGenes, PlantGlucosinolatesAllelesGenetic MarkersGenotypePolymerase Chain ReactionGenetic MarkersGlucosinolatesAOP2broccoliGNAGRAGSL-OHKASP markerPRO

Identifiers

PMID41898573
PMCPMC13026235

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.