Next-generation sequencing analysis of Pardosa pseudoannulata’s diet composition in different habitats
Joint Authors
Yan, Hengmei
Zhong, Wentao
Tan, Zhaojun
Wang, Bo
Source
Saudi Journal of Biological Sciences
Issue
Vol. 26, Issue 1 (31 Jan. 2019), pp.165-172, 8 p.
Publisher
Publication Date
2019-01-31
Country of Publication
Saudi Arabia
No. of Pages
8
Main Subjects
Topics
Abstract EN
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 nextgeneration 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
American Psychological Association (APA)
Zhong, Wentao& Tan, Zhaojun& Wang, Bo& Yan, Hengmei. 2019. Next-generation sequencing analysis of Pardosa pseudoannulata’s diet composition in different habitats. Saudi Journal of Biological Sciences،Vol. 26, no. 1, pp.165-172.
https://search.emarefa.net/detail/BIM-896751
Modern Language Association (MLA)
Zhong, Wentao…[et al.]. Next-generation sequencing analysis of Pardosa pseudoannulata’s diet composition in different habitats. Saudi Journal of Biological Sciences Vol. 26, no. 1 (Jan. 2019), pp.165-172.
https://search.emarefa.net/detail/BIM-896751
American Medical Association (AMA)
Zhong, Wentao& Tan, Zhaojun& Wang, Bo& Yan, Hengmei. Next-generation sequencing analysis of Pardosa pseudoannulata’s diet composition in different habitats. Saudi Journal of Biological Sciences. 2019. Vol. 26, no. 1, pp.165-172.
https://search.emarefa.net/detail/BIM-896751
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 171-172
Record ID
BIM-896751