Evidence map›Paper›PMID 41832422›Full record

ArticleBMC plant biology2026

Comprehensive characterization of safflower cytochrome P450 family and the role of CtCYP41 in flavonoid biosynthesis and drought response.

Ruru Hao, Yang Yuan, Yan Hu, Rui Li, Xiaona Lu, Meihao Sun, Rogerio Chiulele, Zhihua Wu

Abstract read
In one paragraph

Article in BMC plant biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Ruru Hao *China-Mozambique "Belt and Road" Joint Laboratory on Smart Agriculture, Zhejiang Normal University, Jinhua, 321004, China.
Yang Yuan *National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China.
Yan HuChina-Mozambique "Belt and Road" Joint Laboratory on Smart Agriculture, Zhejiang Normal University, Jinhua, 321004, China.
Rui LiChina-Mozambique "Belt and Road" Joint Laboratory on Smart Agriculture, Zhejiang Normal University, Jinhua, 321004, China.
Xiaona LuChina-Mozambique "Belt and Road" Joint Laboratory on Smart Agriculture, Zhejiang Normal University, Jinhua, 321004, China.
Meihao SunChina-Mozambique "Belt and Road" Joint Laboratory on Smart Agriculture, Zhejiang Normal University, Jinhua, 321004, China.
Rogerio ChiuleleChina-Mozambique "Belt and Road" Joint Laboratory on Smart Agriculture, Zhejiang Normal University, Jinhua, 321004, China.
Zhihua WuChina-Mozambique "Belt and Road" Joint Laboratory on Smart Agriculture, Zhejiang Normal University, Jinhua, 321004, China. zhuawu@zjnu.edu.cn.

Funding

National Key Research and Development Program of China 2024YFE0214000National Natural Science Foundation of China 32470395
6 · The paper itself

Abstract

backgroundSafflower (Carthamus tinctorius L.) is an economical crop rich in diverse flavonoids, which can be widely used in the pharmaceutical and food industries due to their therapeutic effects in promoting blood circulation and alleviating blood stasis. Although current studies have preliminarily elucidated the safflower flavonoid biosynthesis pathway, and confirmed the involvement of cytochrome P450 enzymes (CYPs), a comprehensive identification and analysis of the CYP gene family in safflower remains lacking.

resultsIn this study, we systematically identified a total of 317 CtCYP genes and classified them into 8 clades and 41 families based on the chromosomal-level safflower genome. Conserved motif and gene structure analyses further validated the phylogenetic relationships. Prediction of promoter cis-acting elements revealed that these genes may be regulated by multiple environmental factors such as light and drought, as well as phytohormones including abscisic acid and methyl jasmonate. Collinearity analysis indicated that tandem duplication events likely served as the primary mechanism for the expansion of this gene family in safflower. By integrating transcriptomic and proteomic data from different floral colors and developmental stages of safflower, we identified five key candidate genes: CtCYP41, CtCYP100, CtCYP101, CtCYP119, and CtCYP296. The gene expression was further verified by qRT-PCR. Subcellular localization experiments suggested that CtCYP41 localized to the cytoplasm or around the nucleus, as well as within the endoplasmic reticulum. Functional validation demonstrated that overexpression of CtCYP41 in Arabidopsis and transient expression in tobacco significantly enhanced flavonoid content and drought tolerance, as well as the reduction of reactive oxygen species (ROS).

conclusionsWe systematically identified and characterized the members of the CtCYP superfamily in safflower. The diversity of cis-acting elements and protein domains suggested that safflower P450 was involved in the response to various environmental factors along with functional differentiation. Molecular experiments further confirmed that one of the P450s (CtCYP41) may play a positive role in these processes of flavonoid synthesis, ROS clearance and drought response. This study provides a theoretical basis and genetic resources for the molecular breeding of safflower varieties with high flavonoid content and drought resistance.

Indexed as

Carthamus tinctoriusCytochrome P-450 Enzyme SystemFlavonoidsPlant ProteinsDrought ResistanceDroughtsGene Expression Regulation, PlantMultigene FamilyPhylogenyCytochrome P-450 Enzyme SystemFlavonoidsPlant ProteinsCytochrome P450 enzymesDrought stressFlavonoid biosynthesisFunctional characterizationGene familySafflower

Identifiers

PMID41832422
PMCPMC13101209

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.