Published October 13, 2021 | Version v1

Raw sequence of: A comparative analysis of spider prey spectra analyzed through the next-generation sequencing of individual and mixed DNA samples

  • 1. China West Normal University

Description

As one of the most abundant predators of insects in terrestrial ecosystems, spiders have long received much attention from agricultural scientists and ecologists. Do spiders have a certain controlling effect on the main insect pests of concern in farmland ecosystems? Answering this question requires us to fully understand the prey spectrum and prey preferences of spiders in the farmland ecosystem of concern. Next-generation sequencing (NGS) has been successfully employed to analyze spider prey spectra by sequencing prey DNA barcode regions and matching the sequence results to DNA barcodes from public databases. However, considering the high cost of this technology, we performed a comparative analysis of the prey spectra of Ovia alboannulata (Araneae, Lycosidae) (a dominant spider species on Chinese tea plantations) using NGS with individual and mixed DNA samples to demonstrate which treatment was better for determining the spider's prey spectrum in the field. We collected spider individuals from tea plantations. Two treatments were then used to analyze the spider's prey spectrum: (1) the DNA was extracted from the spiders individually and then sequenced separately and (2) the DNA was extracted from the spiders individually and then mixed and sequenced.

Notes

Funding provided by: China West Normal University
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100007433
Award Number: 18Q050

Funding provided by: Department of Science and Technology of Sichuan Province
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100004829
Award Number: 2020YFS0322

Funding provided by: China West Normal University
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100007433
Award Number: 20A017

Funding provided by: National Natural Science Foundation of China
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001809
Award Number: 32101265

Files

Raw_sequence.zip

Files (457.4 MB)

Name Size
md5:fb51492e4804ea1941394ac3239dcd84
457.4 MB Preview Download
md5:ab162d739b969348dfb0a08e51629db5
8.7 kB Download