Evidence map›Paper›PMID 40725004›Full record

ArticleInternational journal of molecular sciences2025

Transcriptome Analysis Reveals Metabolic Pathways and Key Genes Involved in Oleic Acid Formation of Sunflower (

Yingnan Mu, Ying Sun, Yang Wu, Liuxi Yi, Haifeng Yu, Shaoying Zhang

Abstract read
In one paragraph

Article in International journal of molecular sciences, 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
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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

6 authors.

Yingnan MuAgricultural College, Inner Mongolia Agricultural University, Hohhot 010019, China.
Ying SunAgricultural College, Inner Mongolia Agricultural University, Hohhot 010019, China.
Yang WuAgricultural College, Inner Mongolia Agricultural University, Hohhot 010019, China.ORCID 0000-0001-5785-9981
Liuxi YiAgricultural College, Inner Mongolia Agricultural University, Hohhot 010019, China.
Haifeng YuInner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot 010031, China.
Shaoying ZhangAgricultural College, Inner Mongolia Agricultural University, Hohhot 010019, China.

Funding

Ministry of Finance CARS-14-1-27
6 · The paper itself

Abstract

Sunflower is one of the four most important oilseed crops in the world, and its edible oil is of high nutritional quality. However, the molecular regulatory mechanism of oil accumulation in sunflowers is still unclear. In this study, we selected two inbred lines with significant differences in oleic acid content and similar agronomic traits: the high oleic acid content (82.5%) inbred line 227 and the low oleic acid content (30.8%) inbred line 228. Sunflower seeds were selected for transcriptome experiments at 10, 20, and 30 days after full bloom (DAFB). There were 21, 225, and 632 differentially expressed genes (DEGs) identified at the three times, respectively. The Gene Ontology (GO) analysis showed that DEGs from two sunflower cultivars at three stages were significantly enriched in the activities of omega-6 fatty acid desaturase and glucosyltransferase. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis found that at 10, 20, and 30 DAFB, DEGs were significantly enriched in the unsaturated fatty acid synthesis pathway, glutathione metabolism pathway, and pyruvate metabolism pathway. Through mapping analysis of GO in the KEGG pathway, it was found that the omega-6 fatty acid desaturase gene

Indexed as

HelianthusMetabolic Networks and PathwaysOleic AcidTranscriptomeGene Expression ProfilingGene Expression Regulation, PlantGene OntologyGenes, PlantPlant ProteinsSeedsOleic AcidPlant Proteinsfatty acidsmolecular mechanismqRT-PCRRNA-Seqsunflower

Identifiers

PMID40725004
PMCPMC12295131

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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.