Evidence map›Paper›PMID 41097562›Full record

ArticleFoods (Basel, Switzerland)2025

Light-Quality-Dependent Greening and Steroidal Glycoalkaloid Accumulation in Potato Tubers: Regulatory Mechanisms and Postharvest Strategies to Reduce Food Safety Risks.

Gang Sa, Xiaohua Zao, Jianlong Yuan, Lixiang Cheng, Bin Yu

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Gang SaState Key Laboratory of Aridland Crop Science, Gansu Agricultural University, Lanzhou 730070, China.ORCID 0000-0003-1116-9445
Xiaohua ZaoState Key Laboratory of Aridland Crop Science, Gansu Agricultural University, Lanzhou 730070, China.
Jianlong YuanState Key Laboratory of Aridland Crop Science, Gansu Agricultural University, Lanzhou 730070, China.
Lixiang ChengState Key Laboratory of Aridland Crop Science, Gansu Agricultural University, Lanzhou 730070, China.
Bin YuState Key Laboratory of Aridland Crop Science, Gansu Agricultural University, Lanzhou 730070, China.ORCID 0000-0002-7867-5652

Funding

Gansu Agricultural University Science and Technology Innovation Fund GAU-KYQD-2018-33Gansu Provincial Youth Science and Technology Fund 20JR10RA546Research Program Sponsored by State Key Laboratory of Aridland Crop Science,Gansu Agricultural University GSCS-2019-11the Earmarked fund for Gansu Agriculture Research System GSARS-05the Gansu Province Science and Technology Program 25YFNA043the National Natural Science Foundation of China 32360091
6 · The paper itself

Abstract

Potato tubers undergo greening and accumulate steroidal glycoalkaloids (SGAs) upon light exposure, posing potential food safety risks. In this study, six potato cultivars ("Favorita", "Lucinda", "Jizhangshu 12", "Longshu 10", "Qingshu 9", and "Purple Potato") were subjected to six light treatments (dark, UVA, blue, green, red, and white), and peel color, pigment content, SGAs, and the expression of genes related to light signaling, chlorophyll biosynthesis, and SGA biosynthesis was evaluated. Under green light, the contents of α-solanine and α-chaconine were 76.22 and 171.84 mg/kg fresh weight (FW), respectively; by contrast, their levels under blue and white light were approximately 60% higher. These effects may be mediated by the upregulation of HY5 and COP1 expression, which in turn could regulate the biosynthesis of chlorophyll-related genes (

Indexed as

cultivar variationlight qualitypotatosteroidal glycoalkaloids (SGAs)tuber greening

Identifiers

PMID41097562
PMCPMC12523430

What OpenQuestion holds

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Registered trials

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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.