China has the largest area of kiwifruit production in the world. Pathogens associated with root diseases of kiwi trees have not been investigated extensively. In this research, three Phytophthora species including P. cactorum, P. cinnamomi, and P. lateralis, which are pathogenic to kiwi trees in the main planting areas of China, were studied. The population densities of these species in 128 soil samples from 32 kiwi orchards in 2017 and 2018 were measured using multiplex real-time quantitative PCR, based on the ras-related protein gene Ypt1. P. cactorum was the most widely distributed of the three species in orchards of the Zhouzhi and Meixian Prefectures. We also used redundancy analysis (RDA) to examine soil factors in the kiwi orchards, to understand their effects on the population densities of the Phytophthora species. The RDA analysis indicated that soil temperature and pH were significantly correlated with the abundance of P. cactorum and P. cinnamomi. Besides, two loop-mediated isothermal amplification (LAMP) detection systems for P. cactorum were developed based on the tigA gene. The color-change detection system was proved to be accurate, sensitive, and faster than quantitative PCR. The results of this study, along with the LAMP detection systems, will be of great use in the control of Phytophthora diseases for the production of kiwifruits in China.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.