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Next-generation sequencing analysis of Pardosa pseudoannulata's diet composition in different habitats
Authors:Wentao Zhong  Zhaojun Tan  Bo Wang  Hengmei Yan
Institution:1. College of Life Sciences, Hunan Normal University, Changsha 410081, Hunan, China;2. Testing Institute of Product and Commodity Supervision, Changsha 410007, Hunan, China;3. Dongkou No.1 Middle School, Dongkou 422300, Hunan, China;4. College of Engineering and Technology, Beijing Normal University, Zhuhai Campus, Zhuhai 519087, Guangdong, China
Abstract:Spiders are the most common and predominant predators in terrestrial ecosystems. The predatory behavior of spiders affects the energy flow across the food web within an ecosystem. Traditiaonal methods for analyzing spider diets such as field observation, anatomy and faeces analysis are not suitable for spider experiments due to spiders’ special dietary behavior. The molecular method based on the specific primers of prey DNA seems to be inefficient either in spite of its wide application in diet analysis. As the next-generation sequencing (NGS) technology becomes prevalent in many different areas, several cases of the NGS-based analysis of mammal diets have been published. This study analyzed the diet differences of Pardosa pseudoannulata (Araneae: Lycosidae) in four habitats (a wetland, a tea plantation, an alpine meadow and a paddy field) by using the NGS technology, combined with the DNA barcode method. The results suggested that the Pardosa pseudoannulata feed on a broad range of prey, and 7 orders and 24 families of insects were detected in the four investigated habitats. Moreover, it is found that the diet diversity of Pardosa pseudoannulata is greatly influenced by their living environments and seasons. In a nutshell, this study established an NGS-based methodology for spider diets analysis, and the results provided some basic materials to inform the protection and utilization of the Pardosa pseudoannulata as a potential eco-friendly predator against pests.
Keywords:Next-generation sequencing  Diet analysis  Prey taxa
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