Molecular Pathogens, 2025, Vol.16, No.5, 207-216 http://microbescipublisher.com/index.php/mp 207 Meta Analysis Open Access Meta-Analysis of Viral Resistance Mechanisms in Potato and Related Solanaceae Jun Wang, Qikun Huang Tropical Microbial Resources Research Center, Cuixi Academy of Biotechnology, Zhuji, 311800, Zhejiang, China Corresponding author: qikun.huang@cuixi.org Molecular Pathogens, 2025, Vol.16, No.5 doi: 10.5376/mp.2025.16.0021 Received: 01 Aug., 2025 Accepted: 06 Sep., 2025 Published: 14 Sep., 2025 Copyright © 2025 Wang and Huang, This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Preferred citation for this article: Wang J., and Huang Q.K., 2025, Meta-analysis of viral resistance mechanisms in potato and related solanaceae, Molecular Pathogens, 16(5): 207-216 (doi: 10.5376/mp.2025.16.0021) Abstract This study conducted a meta-analysis on the virus resistance mechanisms of potatoes and solanaceous crops, and summarized the progress and findings in related fields in recent years. This article introduces the main virus types and their hazards in potato and solanaceous crops, and analyzes the impact of virus infection on plant physiology and the difficulties faced in prevention and control. Secondly, we sort out the overall framework of plant antiviral immunity, including resistance mechanisms such as pattern-triggered immunity (PTI), effector-triggered immunity (ETI), and RNA silencing, and discuss the identification and functional mechanisms of key resistance genes (such as Rx1, etc.). On this basis, we compare the similarities and differences in virus resistance between potatoes and tomatoes, peppers, eggplants and other solanaceous crops, and explore the evolution and selection pressure of resistance genes, as well as the possibility of utilizing resistance genes across species. Furthermore, a resistance regulatory network and signaling pathway model was constructed to explain the role of multi-level regulation such as plant hormone signaling, transcription factors, and epigenetics in antiviral resistance. In addition, cases are cited to illustrate the differences in resistance performance of different varieties under multi-virus co-infection. Research shows that the rational use of resistance resources and meta-analysis methods can provide scientific basis and new strategies for the prevention and control of viral diseases in potato and solanaceous crops. Keywords Potato; Solanaceae crops; Virus resistance; Immune mechanism; Meta-analysis; Resistance genes 1 Introduction Potato is the fourth largest food crop in the world, and China is also a major potato producer and consumer. However, viral diseases have become one of the major factors restricting the production of potato and related solanaceous crops. It is reported that about 40 different viruses can infect potatoes, among which the most harmful to yield and quality include potato virus Y (PVY), virus X (PVX), and leafroll virus (PLRV). These viruses can cause plant dwarfing, leaf mosaic, leaf curling and other symptoms, leading to tuber yield reduction and degeneration, and reduced seed potato quality (Kopp et al., 2015). In recent years, research on plant antiviral immune mechanisms has made a series of progress, and people have gradually realized that plants have a complex and efficient immune system to resist virus infection. Research shows that plant resistance to viruses is often controlled by dominantly inherited disease resistance genes. Most of these genes encode nucleotide-binding-leucine-rich repeat region proteins (NLR), which can specifically recognize viral products and trigger downstream defense responses (Grech-Baran et al., 2019). Some studies have found that high temperature can weaken the function of certain disease resistance genes. For example, the resistance to viruses mediated by the tobacco N gene and pepper Tsw is significantly reduced above 30°C (Richard et al., 2020). Meta-analysis is a method of comprehensive and quantitative analysis of independent results from different studies. It is widely used in the fields of medicine and social sciences. In recent years, it has also been gradually introduced into agronomy and plant protection research. Through meta-analysis, we can integrate experimental data from different regions, varieties and experimental conditions to obtain an overall estimate of disease resistance effects and influencing factors, thereby improving the statistical power and applicability of the
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