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Data on insect biodiversity in a Chinese potato agroecosystem from DNA metabarcoding
Changjin Lin1,2,3, Chenxi Liu4, Lilin Chen3
1Sino-American Biological Control Laboratory, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, PR China.
Scientific Data
|January 22, 2025
Summary
This study explored insect diversity in Chinese potato fields using DNA metabarcoding. Researchers identified 1,707 insect species proxies, providing crucial data for pest management and biodiversity conservation.
Area of Science:
- Agricultural Entomology
- Molecular Ecology
- Biodiversity Studies
Background:
- Potato is a vital global food security crop.
- China, a major potato producer, faces insect pest challenges impacting yield.
- Insect biodiversity in Chinese potato fields is not well understood.
Purpose of the Study:
- To investigate insect diversity in potato agroecosystems in Yunnan Province, China.
- To establish a baseline for insect biodiversity using DNA metabarcoding.
- To contribute to regional insect reference libraries.
Main Methods:
- Deployment of five Malaise traps over 49 weeks (Autumn 2021-Summer 2022).
- Collection and processing of 245 insect samples.
- DNA metabarcoding analysis of bulk samples using the Barcode of Life Data System and Multiplex Barcode Research and Visualization Environment.
Main Results:
- Identification of 1,688 Barcode Index Numbers (BINs) from the Global Insecta Library.
- Discovery of 166 additional BINs from the China Insecta dataset.
- A comprehensive dataset of 1,707 BINs representing insect biodiversity in potato fields.
Conclusions:
- This research establishes a significant baseline for insect biodiversity in Chinese potato fields.
- The findings support the development of regional insect reference libraries for biodiversity barcoding.
- The data is valuable for informing pest management strategies and conservation efforts in agricultural ecosystems.
