Sbodio Adrian O, Mesquida-Pesci Saskia D, Yip Nancy, Alvarez-Rojo Isabela, Gutierrez-Baeza Elia, Tay Samantha, Bello Pedro, Wang Luxin, Blanco-Ulate Barbara
Department of Plant Sciences, University of California, Davis, CA, 95616, USA.
Department of Food Science, University of California, Davis, CA, 95616, USA.
Plant Methods. 2024 Jun 2;20(1):83. doi: 10.1186/s13007-024-01214-2.
Fungal pathogens significantly impact the quality of fruits and vegetables at different stages of the supply chain, leading to substantial food losses. Understanding how these persistent fungal infections occur and progress in postharvest conditions is essential to developing effective control strategies.
In this study, we developed a reliable and consistent inoculation protocol to simulate disease spread from infected fruits to adjacent healthy fruits during postharvest storage. We tested different combinations of relevant fruit commodities, including oranges, tomatoes, and apples, against impactful postharvest pathogens such as Penicillium digitatum, Penicillium italicum, Botrytis cinerea, and Penicillium expansum. We assessed the efficacy of this protocol using fruits treated with various postharvest methods and multiple isolates for each pathogen. We optimized the source of infected tissue and incubation conditions for each fruit-pathogen combination. Disease incidence and severity were quantitatively evaluated to study infection success and progression. At the final evaluation point, 80% or higher disease incidence rates were observed in all trials except for the fungicide-treated oranges inoculated with fungicide-susceptible Penicillium spp. isolates. Although disease incidence was lower in that particular scenario, it is noteworthy that the pathogen was still able to establish itself under unfavorable conditions, indicating the robustness of our methodology. Finally, we used multispectral imaging to detect early P. digitatum infections in oranges before the disease became visible to the naked eye but after the pathogen was established.
We developed a non-invasive inoculation strategy that can be used to recreate infections caused by contact or nesting in postharvest. The observed high disease incidence and severity values across fruit commodities and fungal pathogens demonstrate the robustness, efficacy, and reproducibility of the developed methodology. The protocol has the potential to be tailored for other pathosystems. Additionally, this approach can facilitate the study of fruit-pathogen interactions and the assessment of innovative control strategies.
真菌病原体在供应链的不同阶段对水果和蔬菜的质量产生重大影响,导致大量食物损失。了解这些持续性真菌感染在采后条件下如何发生和发展对于制定有效的控制策略至关重要。
在本研究中,我们开发了一种可靠且一致的接种方案,以模拟采后储存期间疾病从受感染果实传播到相邻健康果实的过程。我们针对有影响力的采后病原体,如指状青霉、意大利青霉、灰葡萄孢和扩展青霉,测试了包括橙子、西红柿和苹果在内的不同相关水果商品组合。我们使用经过各种采后处理的水果以及每种病原体的多个分离株评估了该方案的有效性。我们针对每种水果 - 病原体组合优化了感染组织来源和培养条件。通过定量评估疾病发病率和严重程度来研究感染的成功与否和发展情况。在最终评估点,除了用对杀菌剂敏感的青霉属分离株接种的经杀菌剂处理的橙子外,所有试验中均观察到80%或更高的疾病发病率。尽管在该特定情况下疾病发病率较低,但值得注意的是,病原体仍能够在不利条件下定殖,这表明我们方法的稳健性。最后,我们使用多光谱成像在疾病肉眼可见之前但病原体定殖之后检测橙子中早期的指状青霉感染。
我们开发了一种非侵入性接种策略,可用于重现采后因接触或嵌套引起的感染。在各种水果商品和真菌病原体中观察到的高疾病发病率和严重程度值证明了所开发方法的稳健性、有效性和可重复性。该方案有可能针对其他病理系统进行调整。此外,这种方法可以促进对水果 - 病原体相互作用的研究以及对创新控制策略的评估。