Evidence map›Paper›PMID 42438956›Full record

ArticlePlant biotechnology journal2026

Integrated Metabolomics and Selection Signal Analysis Provide Insights Into the Selection for Flavonol Biosynthesis Associated With Lettuce Quality Improvement.

Xiao Yang, Shiwei Wei, Ge Jin, Li Zhang, Ran Du, Yajun Wang, Chengcheng Shen, Tao Huang, Guotao Huo, Jie Peng and 8 more

Abstract read
In one paragraph

Article in Plant biotechnology journal, 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
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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

18 authors.

Xiao YangInstitute of Urban Agriculture, Chinese Academy of Agricultural Sciences, Chengdu National Agricultural Science and Technology Center, Chengdu, China.ORCID https://orcid.org/0000-0002-2511-4640
Shiwei WeiShanghai Agrobiological Gene Center, Shanghai, China.
Ge JinInstitute of Urban Agriculture, Chinese Academy of Agricultural Sciences, Chengdu National Agricultural Science and Technology Center, Chengdu, China.
Li ZhangInstitute of Urban Agriculture, Chinese Academy of Agricultural Sciences, Chengdu National Agricultural Science and Technology Center, Chengdu, China.
Ran DuAgricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.ORCID https://orcid.org/0000-0002-6647-0780
Yajun WangSchool of Life Sciences, Southwest University, Chongqing, China.
Chengcheng ShenBiological Breeding Laboratory, Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences, Urumchi, China.ORCID https://orcid.org/0009-0003-5455-1975
Tao HuangInstitute of Urban Agriculture, Chinese Academy of Agricultural Sciences, Chengdu National Agricultural Science and Technology Center, Chengdu, China.
Guotao HuoShanghai Agrobiological Gene Center, Shanghai, China.
Jie PengInstitute of Urban Agriculture, Chinese Academy of Agricultural Sciences, Chengdu National Agricultural Science and Technology Center, Chengdu, China.
Bo SongInstitute of Urban Agriculture, Chinese Academy of Agricultural Sciences, Chengdu National Agricultural Science and Technology Center, Chengdu, China.
Fangyuan ZhangSchool of Life Sciences, Southwest University, Chongqing, China.
Victor Hugo Escalona ContrerasFaculty of Agricultural Sciences, University of Chile, Santiago, Chile.
Lijun LuoShanghai Agrobiological Gene Center, Shanghai, China.
Yuejian LiInstitute of Urban Agriculture, Chinese Academy of Agricultural Sciences, Chengdu National Agricultural Science and Technology Center, Chengdu, China.
Francisco A Tomas-BarberanQuality, Safety, and Bioactivity of Plant Foods, CEBAS-CSIC, Murcia, Spain.ORCID https://orcid.org/0000-0002-0790-1739
Bin LiuBiological Breeding Laboratory, Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences, Urumchi, China.
Qichang YangInstitute of Urban Agriculture, Chinese Academy of Agricultural Sciences, Chengdu National Agricultural Science and Technology Center, Chengdu, China.

Funding

Local Financial Funds of the National Agricultural Science and Technology Center, Chengdu NASC2024KY20National Key Laboratory for Innovation & Utilization of Horticultural Crops Germplasm Horti-KF-2024-06National Natural Science Foundation of China 32202471Project of Fund for Stable Support to Agricultural Sci-Tech Renovation xjnkywdzc-2022001-6Sichuan Science and Technology Program 2026YFHZ0321the Agricultural Science and Technology Innovation Program of CAAS ASTIP-IUA-2026002the Agricultural Science and Technology Innovation Program of CAAS S2024005the earmarked fund for Sichuan Innovation Team Program of CARS sccxtd-2024-22the Elite Youth Program of the Chinese Academy of Agricultural Sciencesthe Initial Fund for Bringing in Talent at Xinjiang Academy of Agricultural Sciences 2022001
6 · The paper itself

Abstract

Lettuce is a critical leafy vegetable consumed worldwide and is a substantial dietary source of health-promoting compounds. Exploring changes in metabolism during lettuce domestication under artificial selection conditions is important to facilitate further breeding and cultivation for quality improvement. A liquid chromatography-mass spectrometry-based metabolomics approach was used to putatively identify 237 metabolites from 40 accessions, of which 130 were identified as metabolite identification level 1. Subsequently, 29 metabolites linked to lettuce quality improvement and their potential associated genes involved in lettuce domestication and differentiation were analysed. Muti-omics approach showed that metabolites involved in flavonol biosynthesis are the main metabolic distinctions between wild and modern cultivars, which is attributable to the selection signal observed in LsF3'H, a key enzyme involved in the catalysis of flavonoid hydroxylation at the 3'-position. These findings provide a comprehensive view of quality- and flavour-related metabolite variation in lettuce, reveal the potential for quality improvement associated with flavonol biosynthesis, and offer valuable insights into the genetic basis for improving lettuce flavour and nutrition.

Indexed as

domesticationflavonol biosynthesisLactuca sativanon‐targeted metabolomicsquality improvementselection signal

Identifiers

PMID42438956
PMCPMC13398757

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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.