Evidence map›Paper›PMID 37308810›Full record

ArticleBMC plant biology2023

Potential pathways and genes expressed in Chrysanthemum in response to early fusarium oxysporum infection.

Weihao Miao, Yanrong Yang, Mengtong Wu, Gan Huang, Lijiao Ge, Ye Liu, Zhiyong Guan, Sumei Chen, Weimin Fang, Fadi Chen and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.8field-weighted citation impact, top 6% of its field
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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Characterization ofJournal of fungi (Basel, Switzerland) · 2026
    Article
  2. Research Progress on Diseases and Pests of Chrysanthemum (2015-2025).International journal of molecular sciences · 2025
    Review
  3. Article
  4. Article
  5. 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

11 authors at 3 institutions in 1 country.

Weihao MiaoCollege of Horticulture, Nanjing Agricultural University, Nanjing, 210095, China.
Yanrong YangCollege of Horticulture, Nanjing Agricultural University, Nanjing, 210095, China.
Mengtong WuCollege of Horticulture, Nanjing Agricultural University, Nanjing, 210095, China.
Gan HuangCollege of Horticulture, Nanjing Agricultural University, Nanjing, 210095, China.
Lijiao GeCollege of Horticulture, Nanjing Agricultural University, Nanjing, 210095, China.
Ye LiuCollege of Horticulture, Nanjing Agricultural University, Nanjing, 210095, China.
Zhiyong GuanCollege of Horticulture, Nanjing Agricultural University, Nanjing, 210095, China.
Sumei ChenCollege of Horticulture, Nanjing Agricultural University, Nanjing, 210095, China.
Weimin FangCollege of Horticulture, Nanjing Agricultural University, Nanjing, 210095, China.
Fadi ChenCollege of Horticulture, Nanjing Agricultural University, Nanjing, 210095, China.
Shuang ZhaoCollege of Horticulture, Nanjing Agricultural University, Nanjing, 210095, China. zhaoshuang@njau.edu.cn.
Nanjing Agricultural University · CNZhongshan Hospital · CNMinistry of Agriculture and Rural Affairs · CN

Funding

China Agriculture Research System CARS-23-A18Jiangsu Agriculture Science and Technology Innovation Fund CX(22)2033National Natural Science Foundation of China 32072603The JBGS Project of Seed Industry Revitalization in Jiangsu Province JBGS〔2021〕094
6 · The paper itself

Abstract

backgroundChrysanthemum Fusarium wilt is a common fungal disease caused by Fusarium oxysporum, which causes continuous cropping obstacles and huge losses to the chrysanthemum industry. The defense mechanism of chrysanthemum against F. oxysporum remains unclear, especially during the early stages of the disease. Therefore, in the present study, we analyzed chrysanthemum 'Jinba' samples inoculated with F. oxysporum at 0, 3, and 72 h using RNA-seq.

resultsThe results revealed that 7985 differentially expressed genes (DEGs) were co-expressed at 3 and 72 h after F. oxysporum infection. We analyzed the identified DEGs using Kyoto Encyclopedia of Genes and Genomes and Gene Ontology. The DEGs were primarily enriched in "Plant pathogen interaction", "MAPK signaling pathway", "Starch and sucrose metabolism", and "Biosynthesis of secondary metabolites". Genes related to the synthesis of secondary metabolites were upregulated in chrysanthemum early during the inoculation period. Furthermore, peroxidase, polyphenol oxidase, and phenylalanine ammonia-lyase enzymes were consistently produced to accumulate large amounts of phenolic compounds to resist F. oxysporum infection. Additionally, genes related to the proline metabolic pathway were upregulated, and proline levels accumulated within 72 h, regulating osmotic balance in chrysanthemum. Notably, the soluble sugar content in chrysanthemum decreased early during the inoculation period; we speculate that this is a self-protective mechanism of chrysanthemums for inhibiting fungal reproduction by reducing the sugar content in vivo. In the meantime, we screened for transcription factors that respond to F. oxysporum at an early stage and analyzed the relationship between WRKY and DEGs in the "Plant-pathogen interaction" pathway. We screened a key WRKY as a research target for subsequent experiments.

conclusionThis study revealed the relevant physiological responses and gene expression changes in chrysanthemum in response to F. oxysporum infection, and provided a relevant candidate gene pool for subsequent studies on chrysanthemum Fusarium wilt.

Indexed as

ChrysanthemumFusariumCatechol OxidaseSugarsCatechol OxidaseSugarsChrysanthemumFusarium oxysporumFusarium wiltRNA-seqWRKY

Identifiers

PMID37308810
PMCPMC10262564
OpenAlexW4380422862

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.