Advances and prospects in fungal disease resistance breeding of roses

Rosa species, as one of the most economically and ornamentally valuable flower groups worldwide, not only occupy a core position in the horticultural industry but also possess long-term substantial value for breeding applications. However, their production systems rely heavily on disease management. The persistent threats of fungal diseases, including black spot, powdery mildew, and gray mold, have severely impaired the ornamental quality and commercial value of rose plants, constituting a major constraint on the stable development of the rose industry. Compared with conventional hybrid breeding, molecular breeding allows targeted modification of specific heritable traits and plays a pivotal role in the development of disease-resistant rose cultivars. In recent years, with the rapid advancement of genomics, transcriptomics, and functional genomics, a growing number of gene resources and regulatory mechanisms associated with disease resistance in Rosa species have been progressively elucidated. This review systematically summarizes the pathogen characteristics, disease symptoms, and damage patterns of major fungal diseases affecting Rosa species, with a particular focus on research progress in disease-resistance-related transcription factors ( e.g ., WRKY, MYB, and bZIP), resistance genes ( e.g ., Rdr, MLO, and CPR), and key gene families identified from Rosa chinensis and Rosa hybrida materials. In addition, by integrating research evidence from model plants and major crops, this review comparatively analyzes the functional evolution of different regulatory factors and their underlying disease resistance mechanisms, thereby improving the understanding of the molecular regulatory network governing disease resistance in Rosa species. Furthermore, this review outlines the current applications and future potential of emerging molecular breeding technologies, such as Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)/CRISPR-associated protein 9 (Cas9), in the functional dissection of resistance genes and precise genetic improvement of roses. By systematically synthesizing major research achievements in the disease resistance of Rosa species, this review summarizes the current progress and existing challenges in relevant research and proposes future research directions for resistance gene mining, molecular regulatory network elucidation, and molecular design breeding. This study aims to provide a theoretical basis for the improvement of disease resistance and the breeding of new highly resistant cultivars of Rosa species.

Authors

Institutions

Publication Details

Journal
PeerJ
Published
2026-08-27
DOI
https://doi.org/10.7717/peerj.21666
Primary Topic
Plant Gene Expression Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Advances and prospects in fungal disease resistance breeding of roses

Xudong Zheng, Chun Ou, Shuyue Cheng, Shuhuan Zhang et al.
PeerJ
Plant Gene Expression Analysis
article

Advances and prospects in fungal disease resistance breeding of roses

Xudong Zheng, Chun Ou, Shuyue Cheng, Shuhuan Zhang, Xu Deng, Xueduo Li, Ge Yan, Changbing Huang
article en

Abstract

Rosa species, as one of the most economically and ornamentally valuable flower groups worldwide, not only occupy a core position in the horticultural industry but also possess long-term substantial value for breeding applications. However, their production systems rely heavily on disease management. The persistent threats of fungal diseases, including black spot, powdery mildew, and gray mold, have severely impaired the ornamental quality and commercial value of rose plants, constituting a major constraint on the stable development of the rose industry. Compared with conventional hybrid breeding, molecular breeding allows targeted modification of specific heritable traits and plays a pivotal role in the development of disease-resistant rose cultivars. In recent years, with the rapid advancement of genomics, transcriptomics, and functional genomics, a growing number of gene resources and regulatory mechanisms associated with disease resistance in Rosa species have been progressively elucidated. This review systematically summarizes the pathogen characteristics, disease symptoms, and damage patterns of major fungal diseases affecting Rosa species, with a particular focus on research progress in disease-resistance-related transcription factors ( e.g ., WRKY, MYB, and bZIP), resistance genes ( e.g ., Rdr, MLO, and CPR), and key gene families identified from Rosa chinensis and Rosa hybrida materials. In addition, by integrating research evidence from model plants and major crops, this review comparatively analyzes the functional evolution of different regulatory factors and their underlying disease resistance mechanisms, thereby improving the understanding of the molecular regulatory network governing disease resistance in Rosa species. Furthermore, this review outlines the current applications and future potential of emerging molecular breeding technologies, such as Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)/CRISPR-associated protein 9 (Cas9), in the functional dissection of resistance genes and precise genetic improvement of roses. By systematically synthesizing major research achievements in the disease resistance of Rosa species, this review summarizes the current progress and existing challenges in relevant research and proposes future research directions for resistance gene mining, molecular regulatory network elucidation, and molecular design breeding. This study aims to provide a theoretical basis for the improvement of disease resistance and the breeding of new highly resistant cultivars of Rosa species.

PeerJVol. 14
Chinese Academy of Tropical Agricultural Sciences (CN), Fuyang Normal University (CN), Flower Hospital (US), Suzhou Polytechnic Institute of Agriculture (CN), South Subtropical Crops Research Institute (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 17%
Plant Gene Expression Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.