Detection of the Chilli Leaf Curl Virus Using an Attenuated Total Reflection-Mediated Localized Surface-Plasmon-Resonance-Based Optical Platform

Das, Sonatan; Agarwal, Deepti; Mandal, Bikash; Rao, V. Ramgopal; Kundu, Tapanendu

doi:10.1021/acsomega.1c01702

Cited by 21 publications

(16 citation statements)

References 102 publications

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“…The comparative screening of chili plants for begomoviral infection by PCR and AuNP assay demonstrated that the AuNP assay (77.7%) was better than the commonly used PCR methods (49.4%). More advanced detection methods have been performed using attenuated total reflection (ATR)-based evanescent wave absorption monitoring LSPR of AuNPs [ 54 ]. The binding dynamics of AuNPs has been studied on the amine-functionalized surface refractive index sensor and was developed by monitoring the LSPR absorption peak.…”

Section: Pathogen Biosensingmentioning

confidence: 99%

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Gold Nanoparticles and Plant Pathogens: An Overview and Prospective for Biosensing in Forestry

Kulabhusan

Tripathi

Kant

2022

Sensors

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Plant diseases and their diagnoses are currently one of the global challenges and causes significant impact to the economy of farmers and industries depending on plant-based products. Plant pathogens such as viruses, bacteria, fungi, and pollution caused by the nanomaterial, as well other important elements of pollution, are the main reason for the loss of plants in agriculture and in forest ecosystems. Presently, various techniques are used to detect pathogens in trees, which includes DNA-based techniques, as well as other microscopy based identification and detection. However, these methodologies require complex instruments and time. Lately, nanomaterial-based new biosensing systems for early detection of diseases, with specificity and sensitivity, are developed and applied. This review highlights the nanomaterial-based biosensing methods of disease detection. Precise and time effective identification of plant pathogens will help to reduce losses in agriculture and forestry. This review focuses on various plant diseases and the requirements for a reliable, fast, and cost-effective testing method, as well as new biosensing technologies for the detection of diseases of field plants in forests at early stages of their growth.

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Section: Pathogen Biosensingmentioning

confidence: 99%

“…( a ) is before capturing the GLRaV-3 and ( b ) after binding of GLRaV-3 with antibody. The images are adopted from the references [ 54 , 36 ].…”

Section: Figurementioning

confidence: 99%

Gold Nanoparticles and Plant Pathogens: An Overview and Prospective for Biosensing in Forestry

Kulabhusan

Tripathi

Kant

2022

Sensors

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“…One such study reported the use of a Localized Surface-Plasmon-Resonance (LPSR) based optical platform for the detection of ChiLCV with a small volume (20–40 μL) of the sample. The LSPR absorbance signal could be monitored to detect the viral load and the sensitivity of LSPR assays by using aluminum nanoparticles for immobilization (Das et al, 2021 ).…”

Section: Diagnosticsmentioning

confidence: 99%

An Overview of Chili Leaf Curl Disease: Molecular Mechanisms, Impact, Challenges, and Disease Management Strategies in Indian Subcontinent

et al. 2022

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Leaf curl disease in a chili plant is caused mainly by Chili leaf curl virus (ChiLCV) (Family: Geminiviridae, Genus: Begomovirus). ChiLCV shows a widespread occurrence in most of the chili (Capsicum spp.) growing regions. ChiLCV has a limited host range and infects tomatoes (Solanum lycopersicum), potatoes (S. tuberosum), and amaranth (Amaranthus tricolor). The virus genome is a monopartite circular single-stranded DNA molecule of 2.7 kb and associated with α and β-satellites of 1.3 and 1.4 kb, respectively. The virus genome is encapsulated in distinct twinned icosahedral particles of around 18–30 nm in size and transmitted by Bemisia tabaci (Family: Aleyrodidae, Order: Hemiptera). Recently, bipartite begomovirus has been found to be associated with leaf curl disease. The leaf curl disease has a widespread distribution in the major equatorial regions viz., Australia, Asia, Africa, Europe, and America. Besides the PCR, qPCR, and LAMP-based detection systems, recently, localized surface-plasmon-resonance (LPSR) based optical platform is used for ChiLCV detection in a 20–40 μl of sample volume using aluminum nanoparticles. Management of ChiLCV is more challenging due to the vector-borne nature of the virus, therefore integrated disease management strategies need to be followed to contain the spread and heavy crop loss. CRISPR/Cas-mediated virus resistance has gained importance in disease management of DNA and RNA viruses due to certain advantages over the conventional approaches. Therefore, CRISPR/Cas system-mediated resistance needs to be explored in chili against ChiLCV.

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“…Recently RCA (Rolling Circle Ampli cation) and LAMP (Loop mediated isothermal ampli cation) assays have been established for rapid detection of begomoviruses [10], [11]. Recently Nano-particle-based optical platform has also been explored as a biosensor for detecting ChiLCV [12]. But these methods are only effective to investigate presence or absence of the virus.…”

Section: Introductionmentioning

confidence: 99%

Rapid Real-time Viral Load Estimation Technique for chilli leaf curl virus and its validation in different chilli genotypes from Eastern Himalayan Plains.

Kumar

Sil

Ghosh

et al. 2022

Preprint

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Chilli leaf curl virus is one of the most devastating virus infecting chilli crops in India. Management of chilli leaf curl disease largely relies on early detection and quantification of the virus. In the present study different Open Reading Frames from chilli leaf curl virus from sub-Himalayan Terai region were cloned, sequenced and submitted in NCBI database with accession number MN851261, MN857412, and MN857413. Comparison of these gene sequences with previously reports revealed that chilli leaf curl virus coochbehar strain exhibits 90–92% similarity with tomato leaf curl joydebpur virus and pepper leaf curl Bangladesh virus. Using these sequence primers were designed from the unique AV2 region of the chilli leaf curl virus coochbehar strain and a SYBR based Rapid Real-time Viral Load estimation (ReViLeR) technique was developed to quantify the virus directly from extracts of infected leaf samples. Seventeen chilli genotypes were evaluated for virus accumulation with ‘ReViLeR’ method after challenge inoculation with chilli leaf curl virus. Traditional landraces like Chuapara, Line boya and White chilli were found to have highest viral titer (36659, 22909 and 25195 viral copies per genomic unit (GU) respectively). On the other hand, from the genotypes like Micro, Pusa Sadabahar, Dalle Khursani no virus was detected. Higher viral load in the susceptible genotypes manifested severe leaf curl symptoms whereas resistant genotypes with no detectable viral load remained healthy. The sensitivity of the newly developed ReViLeR technique was found up to 83% in rapid detection of chilli leaf curl virus.

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Detection of the Chilli Leaf Curl Virus Using an Attenuated Total Reflection-Mediated Localized Surface-Plasmon-Resonance-Based Optical Platform

Cited by 21 publications

References 102 publications

Gold Nanoparticles and Plant Pathogens: An Overview and Prospective for Biosensing in Forestry

Gold Nanoparticles and Plant Pathogens: An Overview and Prospective for Biosensing in Forestry

An Overview of Chili Leaf Curl Disease: Molecular Mechanisms, Impact, Challenges, and Disease Management Strategies in Indian Subcontinent

Rapid Real-time Viral Load Estimation Technique for chilli leaf curl virus and its validation in different chilli genotypes from Eastern Himalayan Plains.

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