Traditional to technological advancements in Ganoderma detection methods in oil palm.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-10-01 Epub Date: 2024-07-08 DOI:10.1007/s12223-024-01177-w
M Amrutha Lakshmi, Ajesh B R, Pradeep Manyam, Shaik Javeedvali, Amjada S Khan, Dauda Wadzani Palnam, A Kandan
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Abstract

Ganoderma sp., the fungal agent causing basal stem rot (BSR), poses a severe threat to global oil palm production. Alarming increases in BSR occurrences within oil palm growing zones are attributed to varying effectiveness in its current management strategies. Asymptomatic progression of the disease and the continuous monoculture of oil palm pose challenges for prompt and effective management. Therefore, the development of precise, early, and timely detection techniques is crucial for successful BSR management. Conventional methods such as visual assessments, culture-based assays, and biochemical and physiological approaches prove time-consuming and lack specificity. Serological-based diagnostic methods, unsuitable for fungal diagnostics due to low sensitivity, assay affinity, cross-contamination which further underscores the need for improved techniques. Molecular PCR-based assays, utilizing universal, genus-specific, and species-specific primers, along with functional primers, can overcome the limitations of conventional and serological methods in fungal diagnostics. Recent advancements, including real-time PCR, biosensors, and isothermal amplification methods, facilitate accurate, specific, and sensitive Ganoderma detection. Comparative whole genomic analysis enables high-resolution discrimination of Ganoderma at the strain level. Additionally, omics tools such as transcriptomics, proteomics, and metabolomics can identify potential biomarkers for early detection of Ganoderma infection. Innovative on-field diagnostic techniques, including remote methods like volatile organic compounds profiling, tomography, hyperspectral and multispectral imaging, terrestrial laser scanning, and Red-Green-Blue cameras, contribute to a comprehensive diagnostic approach. Ultimately, the development of point-of-care, early, and cost-effective diagnostic techniques accessible to farmers is vital for the timely management of BSR in oil palm plantations.

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油棕中灵芝检测方法的传统技术进步。
灵芝(Ganoderma sp.)是引起基部茎腐病(BSR)的真菌,对全球油棕生产构成严重威胁。油棕种植区基干腐烂病发生率的惊人增长是由于目前的管理策略效果不一造成的。无症状的病害发展和油棕的持续单一种植给及时有效的管理带来了挑战。因此,开发精确、早期和及时的检测技术对于成功管理 BSR 至关重要。目测评估、培养检测、生化和生理方法等传统方法既耗时又缺乏特异性。基于血清学的诊断方法由于灵敏度低、检测亲和性差、交叉污染等原因,不适合真菌诊断,这进一步突出了对改进技术的需求。利用通用、属特异和种特异引物以及功能引物的分子聚合酶链式反应(PCR)检测法,可以克服真菌诊断中传统方法和血清学方法的局限性。实时聚合酶链反应、生物传感器和等温扩增法等最新技术有助于准确、特异和灵敏地检测灵芝。全基因组比较分析可在菌株水平上对灵芝进行高分辨率鉴别。此外,转录组学、蛋白质组学和代谢组学等全量学工具可以确定潜在的生物标志物,用于灵芝感染的早期检测。创新的现场诊断技术,包括挥发性有机化合物分析、层析成像、高光谱和多光谱成像、陆地激光扫描和红绿蓝相机等远程方法,有助于形成全面的诊断方法。归根结底,开发农民可以使用的早期、经济有效的护理点诊断技术,对于及时管理油棕种植园的 BSR 至关重要。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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