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Next-generation sequencing analysis of Pardosa pseudoannulata's diet composition in different habitats

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...

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Detalles Bibliográficos
Autores principales: Zhong, Wentao, Tan, Zhaojun, Wang, Bo, Yan, Hengmei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6319085/
https://www.ncbi.nlm.nih.gov/pubmed/30622422
http://dx.doi.org/10.1016/j.sjbs.2018.08.004
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author Zhong, Wentao
Tan, Zhaojun
Wang, Bo
Yan, Hengmei
author_facet Zhong, Wentao
Tan, Zhaojun
Wang, Bo
Yan, Hengmei
author_sort Zhong, Wentao
collection PubMed
description 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.
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spelling pubmed-63190852019-01-08 Next-generation sequencing analysis of Pardosa pseudoannulata's diet composition in different habitats Zhong, Wentao Tan, Zhaojun Wang, Bo Yan, Hengmei Saudi J Biol Sci Article 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. Elsevier 2019-01 2018-08-06 /pmc/articles/PMC6319085/ /pubmed/30622422 http://dx.doi.org/10.1016/j.sjbs.2018.08.004 Text en © 2018 Production and hosting by Elsevier B.V. on behalf of King Saud University. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Zhong, Wentao
Tan, Zhaojun
Wang, Bo
Yan, Hengmei
Next-generation sequencing analysis of Pardosa pseudoannulata's diet composition in different habitats
title Next-generation sequencing analysis of Pardosa pseudoannulata's diet composition in different habitats
title_full Next-generation sequencing analysis of Pardosa pseudoannulata's diet composition in different habitats
title_fullStr Next-generation sequencing analysis of Pardosa pseudoannulata's diet composition in different habitats
title_full_unstemmed Next-generation sequencing analysis of Pardosa pseudoannulata's diet composition in different habitats
title_short Next-generation sequencing analysis of Pardosa pseudoannulata's diet composition in different habitats
title_sort next-generation sequencing analysis of pardosa pseudoannulata's diet composition in different habitats
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6319085/
https://www.ncbi.nlm.nih.gov/pubmed/30622422
http://dx.doi.org/10.1016/j.sjbs.2018.08.004
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