Publication Type

Journal Article

Publication Date (Issue Year)

2023

Journal Name

Frontiers in Microbiology

Abstract

The potato crop is prone to infection by an estimated 50 different categories of pests and diseases whose causal agents are either viruses, bacteria, nematodes, insects, or fungi (Hussain and Singh, 2016; Jansson and Raman, 2019; Mangal et al., 2022; Munyaneza and Bizimungu, 2022). These pathogenic organisms are either soil or air-borne and usually inflict harm on all plant parts. The most commonly encountered diseases that affect potato growth and development include common scab, dry rot, black scurf, late blight, stem canker, premature deaths, and a wide array of nematodes. Soil-based infections that affect the quality of tubers include pink rot, common scab, leak, black scurf, powdery scab, black dot, Fusarium dry rot, and root knot nematode (Fiers et al., 2012; Hussain et al., 2021; Kowalska, 2021; Póss et al., 2021; Tegg and Wilson, 2022). However, it should be noted that Rhizoctonia solani, Alterneria solani, Phytophthora infestans, Verticillium wilt, and Streptomyces scabies rank highly among the most predominant re-emerging pathogens within the potato sector on a global scale (Muhammad et al., 2013; Abdurahman et al., 2019). Screening and detection of the aforementioned pathogens is deemed important for the planning of timely mitigation measures against these diseases, as well as predicting future outbreaks, especially within the asymptomatic zones (Hussain et al., 2017). Therefore, it is essential to develop effective, sensitive and credible diagnostic techniques that can detect resistant strains prior to the early onset of diseases (Islam et al., 2017; Kumar et al., 2019). Detection methods can utilize pathogen molecular markers, which additionally allows the distinction of strains within a given species, allowing farmers to adopt and embrace the most robust mitigation strategies before the emergence of disease symptoms. What’s more, these same markers can be utilized for pre-plant seed health testing in order to guarantee that seed movement occurring across borders is only for the disease-free materials, which also limits the need for quarantine periods.

Keywords

disease surveillance, point-of-care diagnostics, isothermal amplification, high-throughput sequencing, biosensors, bio-imaging, bioinformatics, pathogenicity

Rsif Scholar Name

Grace Wanjiku Gachara

Rsif Scholar Nationality

Kenya

Cohort

Cohort 2

Thematic Area

Food security and Agribusiness

Africa Host University (AHU)

Sokoine University of Agriculture (SUA), Tanzania

Funding Statement

This research was financially supported by all institutes of authors.

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.