Verticillium wilt resistance screening and early disease detection in eggplant using leaf injection inoculation and chlorophyll fluorescence

• This is the first technique to use leaf injection inoculation to evaluate plant resistance to Verticillium wilt. • We established an optimized leaf injection method for rapid and efficient Verticillium wilt resistance screening in eggplant. • We integrated leaf injection with chlorophyll fluorescence technique for precise early disease detection and grading. • Several chlorophyll fluorescence parameters as predictive indicators for the early disease detection. Verticillium wilt is a major threat to eggplant production, and there is an urgent need for the rapid and accurate screening of resistant varieties to enhance breeding efficiency. Owing to the long incubation period of Verticillium wilt before visible symptoms appear, early disease detection remains challenging. In this study, a simple and efficient leaf injection method was established and optimized by evaluating key factors, such as seedling age and inoculum concentration. The results showed that the two-leaf-one-heart stage, combined with a spore concentration of 1 × 10 7 spores/mL, provided optimal conditions for inoculation. Chlorophyll fluorescence (Chl-F) was used to monitor the early physiological changes in plants under pathogen stress. After pathogen inoculation, changes in Chl-F parameters, such as the effective quantum yield of photosystem II (Φ PSII ) and the relative electron transport rate (rETR), were negatively correlated with the genotype’s resistance. These parameters served as early indicators for resistance screening and grading. Furthermore, our findings confirmed the high correlation ( R = 0.92, P < 0.01) between the leaf injection and root-dipping inoculation methods in a resistance-segregating population, validating the reliability of the leaf injection method for resistance screening. This study demonstrated the effectiveness of combining the leaf injection method with Chl-F analysis for precise and early disease detection and offered valuable insights into enhancing eggplant breeding strategies for Verticillium wilt resistance.

Authors

Institutions

Publication Details

Journal
Scientia Horticulturae
Published
2025-06-27
DOI
https://doi.org/10.1016/j.scienta.2025.114257
Citations
3
Primary Topic
Plant Pathogens and Fungal Diseases
Type
article
Field-Weighted Citation Impact
3.45

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Verticillium wilt resistance screening and early disease detection in eggplant using leaf injection inoculation and chlorophyll fluorescence

Yumeng Xiao, Feixue Cheng, Shuxing Shen, Tao Zhou et al.
3 citations
Scientia Horticulturae
Plant Pathogens and Fungal Diseases
3.45
article

Verticillium wilt resistance screening and early disease detection in eggplant using leaf injection inoculation and chlorophyll fluorescence

Yumeng Xiao, Feixue Cheng, Shuxing Shen, Tao Zhou, Shuangxia Luo, Yunpeng Li, Xueping Chen, Wenchao Du
article en
3 citations

Abstract

• This is the first technique to use leaf injection inoculation to evaluate plant resistance to Verticillium wilt. • We established an optimized leaf injection method for rapid and efficient Verticillium wilt resistance screening in eggplant. • We integrated leaf injection with chlorophyll fluorescence technique for precise early disease detection and grading. • Several chlorophyll fluorescence parameters as predictive indicators for the early disease detection. Verticillium wilt is a major threat to eggplant production, and there is an urgent need for the rapid and accurate screening of resistant varieties to enhance breeding efficiency. Owing to the long incubation period of Verticillium wilt before visible symptoms appear, early disease detection remains challenging. In this study, a simple and efficient leaf injection method was established and optimized by evaluating key factors, such as seedling age and inoculum concentration. The results showed that the two-leaf-one-heart stage, combined with a spore concentration of 1 × 10 7 spores/mL, provided optimal conditions for inoculation. Chlorophyll fluorescence (Chl-F) was used to monitor the early physiological changes in plants under pathogen stress. After pathogen inoculation, changes in Chl-F parameters, such as the effective quantum yield of photosystem II (Φ PSII ) and the relative electron transport rate (rETR), were negatively correlated with the genotype’s resistance. These parameters served as early indicators for resistance screening and grading. Furthermore, our findings confirmed the high correlation ( R = 0.92, P < 0.01) between the leaf injection and root-dipping inoculation methods in a resistance-segregating population, validating the reliability of the leaf injection method for resistance screening. This study demonstrated the effectiveness of combining the leaf injection method with Chl-F analysis for precise and early disease detection and offered valuable insights into enhancing eggplant breeding strategies for Verticillium wilt resistance.

Scientia HorticulturaeVol. 349
Hebei Agricultural University (CN), Baoding University (CN)
Hebei Provincial Department of Bureau of Science and Technology, Agricultural University of Hebei
Zero hunger
Openalex Percentile: Top 8%
Plant Pathogens and Fungal Diseases
3.45
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.