Functional characterization of the powdery mildew susceptibility gene SmMLO1 in eggplant (Solanum melongena L.)

Bracuto, Valentina; Appiano, Michela; Ricciardi, Luigi M.; Göl, Deniz; Visser, R.G.F.; Bai, Yuling; Pavan, Stefano

doi:10.1007/s11248-016-0007-9

Cited by 3 publications

(1 citation statement)

References 36 publications

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“…It has been reported that Act was used as a reference gene in the study of cucumber, tomato, bitter gourd, wheat and rubber tree [46][47][48][49][50]. EF1α was used as a reference gene for eggplant and petunia [51,52]. Tubulin was used as a reference gene for studying the mulberry [53], and 28SrRNA was used as a reference gene for studying the oat [54].…”

Section: Discussionmentioning

confidence: 99%

Selection and Evaluation of Reference Genes for Quantitative Real-Time PCR in Tomato (Solanum lycopersicum L.) Inoculated with Oidium neolycopersici

et al. 2022

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In order to screen out the most stable reference genes in tomatoes under powdery mildew (PM) stress and study the expression of related genes in the interaction between tomato and PM more accurately, this study will provide a calibration basis for the expression of related functional genes. In this study, the expression stabilities of eight tomato candidate reference genes of EF1α, L33, Act, Ubi, GAPDH, UK, CAC and TIP41 in susceptible tomato and resistant tomatoes under PM stress were ranked using four different computation programs, including geNorm, Normfinder, BestKeeper and the comparative ∆CT method. Then RefFinder was used to analyze the ranking results of four kinds of software comprehensively. Finally, the selected reference genes were validated by the target gene SlMLO1. The results of geNorm showed that the normalization of qRT-PCR using two reference genes could meet the requirements. The comprehensive analysis of RefFinder showed that the most stable reference genes were Act and EF1α for both tomato varieties. The combination of Act and GAPDH was most stable in susceptible tomato ‘MM’. The combination of Act and EF1α was most stable in resistant tomato ‘62579′. Generally, the Act was the most stable reference gene in the two tomato varieties under PM stress. This study will lay a foundation for the related functional gene expression research in tomatoes under PM stress.

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Section: Discussionmentioning

confidence: 99%

Selection and Evaluation of Reference Genes for Quantitative Real-Time PCR in Tomato (Solanum lycopersicum L.) Inoculated with Oidium neolycopersici

et al. 2022

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RNA-Seq-derived identification of differential transcription in the eggplant ( Solanum melongena ) following inoculation with bacterial wilt

Chen

Dong

et al. 2018

Gene

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YOLOv5s-BiPCNeXt, a Lightweight Model for Detecting Disease in Eggplant Leaves

Xie,

Li,

Yang

et al. 2024

Plants

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Ensuring the healthy growth of eggplants requires the precise detection of leaf diseases, which can significantly boost yield and economic income. Improving the efficiency of plant disease identification in natural scenes is currently a crucial issue. This study aims to provide an efficient detection method suitable for disease detection in natural scenes. A lightweight detection model, YOLOv5s-BiPCNeXt, is proposed. This model utilizes the MobileNeXt backbone to reduce network parameters and computational complexity and includes a lightweight C3-BiPC neck module. Additionally, a multi-scale cross-spatial attention mechanism (EMA) is integrated into the neck network, and the nearest neighbor interpolation algorithm is replaced with the content-aware feature recombination operator (CARAFE), enhancing the model’s ability to perceive multidimensional information and extract multiscale disease features and improving the spatial resolution of the disease feature map. These improvements enhance the detection accuracy for eggplant leaves, effectively reducing missed and incorrect detections caused by complex backgrounds and improving the detection and localization of small lesions at the early stages of brown spot and powdery mildew diseases. Experimental results show that the YOLOv5s-BiPCNeXt model achieves an average precision (AP) of 94.9% for brown spot disease, 95.0% for powdery mildew, and 99.5% for healthy leaves. Deployed on a Jetson Orin Nano edge detection device, the model attains an average recognition speed of 26 FPS (Frame Per Second), meeting real-time requirements. Compared to other algorithms, YOLOv5s-BiPCNeXt demonstrates superior overall performance, accurately detecting plant diseases under natural conditions and offering valuable technical support for the prevention and treatment of eggplant leaf diseases.

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Functional characterization of the powdery mildew susceptibility gene SmMLO1 in eggplant (Solanum melongena L.)

Cited by 3 publications

References 36 publications

Selection and Evaluation of Reference Genes for Quantitative Real-Time PCR in Tomato (Solanum lycopersicum L.) Inoculated with Oidium neolycopersici

Selection and Evaluation of Reference Genes for Quantitative Real-Time PCR in Tomato (Solanum lycopersicum L.) Inoculated with Oidium neolycopersici

RNA-Seq-derived identification of differential transcription in the eggplant ( Solanum melongena ) following inoculation with bacterial wilt

YOLOv5s-BiPCNeXt, a Lightweight Model for Detecting Disease in Eggplant Leaves

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