Data on insect biodiversity in a Chinese potato agroecosystem from DNA metabarcoding
Abstract Potato (Solanum tuberosum) is a staple crop important in global food security. As a leading potato producer, China faces significant challenges from insect pest infestations that compromise yield and quality. However, insect communities within Chinese potato fields remain poorly characteriz...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-01-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-04452-8 |
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| author | Changjin Lin Chenxi Liu Lilin Chen Hongmei Cheng Muhammad Ashfaq Paul D. N. Hebert Yulin Gao |
| author_facet | Changjin Lin Chenxi Liu Lilin Chen Hongmei Cheng Muhammad Ashfaq Paul D. N. Hebert Yulin Gao |
| author_sort | Changjin Lin |
| collection | DOAJ |
| description | Abstract Potato (Solanum tuberosum) is a staple crop important in global food security. As a leading potato producer, China faces significant challenges from insect pest infestations that compromise yield and quality. However, insect communities within Chinese potato fields remain poorly characterized. This study aimed to explore insect diversity in potato fields in Yunnan Province. From autumn 2021 to summer 2022, five Malaise traps were strategically deployed to capture insect samples. In total, 245 samples were collected over 49 weeks, and DNA metabarcoding was performed on bulk samples. The generated sequences were curated and analyzed using the Barcode of Life Data System and the Multiplex Barcode Research and Visualization Environment. The analysis assigned sequences to 1,688 Barcode Index Numbers (BINs) as species proxies derived from the Global Insecta Library, along with 166 BINs from the China Insecta dataset. This research provides valuable insights for barcoding local biodiversity and developing regional reference libraries and presents a comprehensive dataset of insect biodiversity within potato agroecosystems, encompassing 1,707 BINs linked to known insect taxa. |
| format | Article |
| id | doaj-art-0f81fa985e97476e8fbdf779d230b312 |
| institution | Kabale University |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-0f81fa985e97476e8fbdf779d230b3122025-01-26T12:14:43ZengNature PortfolioScientific Data2052-44632025-01-011211810.1038/s41597-025-04452-8Data on insect biodiversity in a Chinese potato agroecosystem from DNA metabarcodingChangjin Lin0Chenxi Liu1Lilin Chen2Hongmei Cheng3Muhammad Ashfaq4Paul D. N. Hebert5Yulin Gao6Sino-American Biological Control Laboratory, Institute of Plant Protection, Chinese Academy of Agricultural SciencesSino-American Biological Control Laboratory, Institute of Plant Protection, Chinese Academy of Agricultural SciencesState Key Laboratory for Ecological Pest Control of Fujian and Taiwan Crops, Institute of Applied Ecology, Fujian Agriculture and Forestry UniversitySino-American Biological Control Laboratory, Institute of Plant Protection, Chinese Academy of Agricultural SciencesCentre for Biodiversity Genomics and Department of Integrative Biology, University of GuelphCentre for Biodiversity Genomics and Department of Integrative Biology, University of GuelphState Key Laboratory for Biology of Plant Disease and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural SciencesAbstract Potato (Solanum tuberosum) is a staple crop important in global food security. As a leading potato producer, China faces significant challenges from insect pest infestations that compromise yield and quality. However, insect communities within Chinese potato fields remain poorly characterized. This study aimed to explore insect diversity in potato fields in Yunnan Province. From autumn 2021 to summer 2022, five Malaise traps were strategically deployed to capture insect samples. In total, 245 samples were collected over 49 weeks, and DNA metabarcoding was performed on bulk samples. The generated sequences were curated and analyzed using the Barcode of Life Data System and the Multiplex Barcode Research and Visualization Environment. The analysis assigned sequences to 1,688 Barcode Index Numbers (BINs) as species proxies derived from the Global Insecta Library, along with 166 BINs from the China Insecta dataset. This research provides valuable insights for barcoding local biodiversity and developing regional reference libraries and presents a comprehensive dataset of insect biodiversity within potato agroecosystems, encompassing 1,707 BINs linked to known insect taxa.https://doi.org/10.1038/s41597-025-04452-8 |
| spellingShingle | Changjin Lin Chenxi Liu Lilin Chen Hongmei Cheng Muhammad Ashfaq Paul D. N. Hebert Yulin Gao Data on insect biodiversity in a Chinese potato agroecosystem from DNA metabarcoding Scientific Data |
| title | Data on insect biodiversity in a Chinese potato agroecosystem from DNA metabarcoding |
| title_full | Data on insect biodiversity in a Chinese potato agroecosystem from DNA metabarcoding |
| title_fullStr | Data on insect biodiversity in a Chinese potato agroecosystem from DNA metabarcoding |
| title_full_unstemmed | Data on insect biodiversity in a Chinese potato agroecosystem from DNA metabarcoding |
| title_short | Data on insect biodiversity in a Chinese potato agroecosystem from DNA metabarcoding |
| title_sort | data on insect biodiversity in a chinese potato agroecosystem from dna metabarcoding |
| url | https://doi.org/10.1038/s41597-025-04452-8 |
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