Plant pathogens are a major reason of reduced crop productivity and may lead to a shortage of food for both human and animal consumption. Although chemical control remains the main method to reduce foliar fungal disease incidence, frequent use can lead to loss of susceptibility in the fungal population. Furthermore, over-spraying can cause environmental contamination and poses a heavy financial burden on growers. To prevent or control disease epidemics, it is important for growers to be able to detect causal pathogen accurately, sensitively, and rapidly, so that the best practice disease management strategies can be chosen and enacted. To reach this goal, many culture-dependent, biochemical, and molecular methods have been developed for plant pathogen detection. However, these methods lack accuracy, specificity, reliability, and rapidity, and they are generally not suitable for in-situ analysis. Accordingly, there is strong interest in developing biosensing systems for early and accurate pathogen detection. There is also great scope to translate innovative nanoparticle-based biosensor approaches developed initially for human disease diagnostics for early detection of plant disease-causing pathogens. In this review, we compare conventional methods used in plant disease diagnostics with new sensing technologies in particular with deeper focus on electrochemical and optical biosensors that may be applied for plant pathogen detection and management. In addition, we discuss challenges facing biosensors and new capability the technology provides to informing disease management strategies.

Accurate and timely diagnosis of plant viral infections plays a key role in effective disease control and maintaining agricultural productivity. Recent advances in the diagnosis of plant viruses have significantly expanded our ability to detect and monitor viral pathogens in agricultural crops. This review discusses the latest advances in diagnostic technologies, including both traditional methods and the latest innovations. Conventional methods such as enzyme-linked immunosorbent assay and DNA amplification-based assays remain widely used due to their reliability and accuracy. However, diagnostics such as next-generation sequencing and CRISPR-based detection offer faster, more sensitive and specific virus detection. The review highlights the main advantages and limitations of detection systems used in plant viral diagnostics including conventional methods, biosensor technologies and advanced sequence-based techniques. In addition, it also discusses the effectiveness of commercially available diagnostic tools and challenges facing modern diagnostic techniques as well as future directions for improving informed disease management strategies. Understanding the main features of available diagnostic methodologies would enable stakeholders to choose optimal management strategies against viral threats and ensure global food security.

Apples are widely consumed by people all over the world due to their taste and nutritional value. However, apple trees are prone to various environmental stresses, including fungal diseases. Among them, Cytospora canker (or Valsa canker) can cause dieback of branches and twigs. Although Kazakhstan is well known as an origin of apples, very little is known about canker diseases that spread across all commercial orchards. Therefore, an accurate identification of the causal agents of those diseases is needed for further application of informed disease management strategies. In this study, eleven isolates belonging to four Cytospora species were isolated from multiple cultivars, grown in six different orchards within the Almaty region, Kazakhstan. As a result of a multilocus phylogenetic analysis using ITS, LSU and tef1-α marker genes and morphological characterization, these isolates were described as Cytospora parasitica, Cytospora sorbina, Cytospora pruinopsis and Cytospora chrysosperma. Moreover, a pathogenicity test was conducted on detached twigs, and it demonstrated that two of these fungi were highly virulent. Overall, this paper is a first report of the causal agents of apple canker disease in Kazakhstan and could be a trigger for conducting future studies to better understand the disease epidemiology, as well as build management strategies.

This study provides a morphological description of Cytospora spp. isolates collected from apple tree branches affected by Cytospora canker. Cytospora canker is a globally widespread disease caused by highly aggressive pathogens that induce cankers in woody plants within both natural and agro-ecosystems. In severe cases, cankers can lead to the dieback of branches and trees. This article presents the first report of Cytospora sorbina and Cytospora parasitica species identified in intensive apple orchards of Almaty region, Kazakhstan. Notably, the species composition, as well as the morphological and genetic characteristics of Cytospora spp. pathogens causing Cytospora canker in Kazakhstan, remain understudied. Consequently, this study examined the cultural and morphological properties of Cytospora canker pathogens, including determining optimal growth media and temperature conditions for these pathogens. For microbiological analysis, samples were collected from five intensive apple orchards in the Almaty region, yielding 15 fungal isolates from the following apple varieties: Gala, Granny Smith, Golden Delicious, Golden Rush and Fuji. Based on morphological and cultural characteristics, the isolates were identified as Cytospora sorbina and Cytospora parasitica. The results showed optimal growth conditions at 27°C on potato dextrose agar (PDA). This study provides insights into the host-pathogen biological interactions, potentially facilitating improvements in early diagnostics and the development of integrated disease management strategies against Cytospora-related diseases to protect apple orchards.

Ascochyta blight is a major biotic stress that limits chickpea production globally. Fungicide application remains one of the effective control measures for the endemic spread. Due to the serious threat that synthetic fungicides pose to crop quality, early diagnosis of the pathogen is imperative. Whilst there have previously been several conventional lab-based diagnostic methods developed for early detection of Ascochyta rabiei, they require long assay times, specialised equipment and facilities, and trained personnel to process the samples. To overcome this challenge, a rapid amplification-free detection assay using a molecular beacon probe was developed. The method consists of a simple assembly assay that accurately detects pathogen within 30 min. The developed assay is species-specific and has a similar sensitivity level as conventional amplification-based methods. Although it is still a lab-based technique, considering the simplicity of the assay, it has a great potential to be developed further as a reliable in-field diagnostic device for early detection and quantification of fungal pathogen spores.

Apple (Malus domestica) is a very important crop grown in Kazakhstan. Cytospora species are capable of causing destructive stem cankers on a wide range of woody plants, including apples, and can lead to twig and branch dieback. This study aimed to identify the Cytospora species responsible for canker disease of apple in Kazakhstan and to assess the susceptibility of major apple cultivars to these pathogens. Investigations were conducted in Almaty, Kazakhstan, during 2023 and 2024. Samples from symptomatic trees were collected, and nine Cytospora isolates were obtained from diseased apple trees. Multigene phylogenetic analysis based on combined sequence data of ITS, tef1-α, tub2, and LSU loci, together with morphological characteristics and pathogenicity assays, revealed two Cytospora species: C. leucostoma and C. sorbicola. The reactions of six apple cultivars (Gala, Golden Delicious, Red Delicious, Granny Smith, Fuji, and Jonaprince) to these species were evaluated, and statistically significant differences were found among cultivars (p < 0.05). The largest lesions occurred on Red Delicious and Fuji, indicating that these cultivars are the most susceptible. In contrast, lesion lengths on Jonaprince were significantly smaller than on all other cultivars, suggesting that Jonaprince is resistant to Cytospora species in Kazakhstan. This is the first report of C. leucostoma and C. sorbicola causing apple canker disease in Kazakhstan.