Evidence map›Paper›PMID 42792896›Full record

ArticleGenes2026

Comparative Analysis of

Dong Liu, Jinjin Meng, Tao Du, Xiangsong Meng, Pan Wang

Abstract readComparative Study
In one paragraph

Article in Genes, 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
–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

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.

Dong LiuSchool of Chinese Materia Medica and Health, Bozhou University, Bozhou 236800, China.
Jinjin MengSchool of Chinese Materia Medica and Health, Bozhou University, Bozhou 236800, China.
Tao DuSchool of Pharmacy, Gansu University of Chinese Medicine, Chengguan District, Lanzhou 730000, China.
Xiangsong MengSchool of Chinese Materia Medica and Health, Bozhou University, Bozhou 236800, China.
Pan WangSchool of Pharmacy, Gansu Health Vocational College, Lanzhou New Area, Lanzhou 730207, China.

Funding

China Agriculture Research System
6 · The paper itself

Abstract

objectives

methodsAgronomic phenotypes, photosynthetic pigments, antioxidant enzyme activities, and leaf indirubin content were measured across seven growth stages (A-G). Untargeted LC-MS/MS metabolomics analyses were conducted at stages A, B, and E, and full-stage transcriptome sequencing was performed followed by qRT-PCR validation. Multi-omics correlation was visualized via nine-quadrant analysis.

resultsSL exhibited a significantly larger leaf size, higher leaf biomass, and persistently elevated indirubin concentration at all stages. Its chlorophyll, carotenoid, Calvin-cycle enzyme, and AsA-GSH antioxidant enzyme activities were mostly higher than those in DL. A total of 1217 metabolites and massive differentially expressed genes (DEGs) were identified; flavonoids, especially peonidin-3-glucoside, stably accumulated in SL and mapped to anthocyanin biosynthesis. Transcriptional variations between cultivars concentrated on chloroplast pathways, with two candidate genes,

conclusionsIn conclusion, SL possesses comprehensive advantages in yield, photosynthetic performance, and medicinal ingredient accumulation, serving as an excellent germplasm for large-scale cultivation. This multi-omics study clarifies genotypic divergence mechanisms and provides theoretical support for high-quality

Indexed as

IsatisMetabolomeTranscriptomeGene Expression ProfilingGene Expression Regulation, PlantMetabolomicsPhenotypePhotosynthesisPlant LeavesPlant ProteinsPlant Proteinscultivar differenceflavonoid metabolismIsatis indigotica Fortmedicinal ingredientsmulti-omicsphotosynthesis

Identifiers

PMID42792896
PMCPMC13606064

What OpenQuestion holds

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Read underepoch 390

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 OpenQuestion graph.