Using DNA metabarcoding to assess insect diversity in citrus orchards.

Area of Science:

• Entomology
• Molecular Ecology
• Biodiversity Science

Background:

• DNA metabarcoding offers a cost-effective method for large-scale biodiversity and pest monitoring.
• This study assessed insect diversity in citrus orchards in Ganzhou City, Jiangxi, China, during 2018-2019.

Purpose of the Study:

• To establish baseline insect biodiversity data in Chinese citrus plantations.
• To evaluate the utility of DNA metabarcoding for insect diversity assessment in agricultural ecosystems.

Main Methods:

• Insects were collected using Malaise traps from three citrus orchards.
• DNA metabarcoding workflow was applied, with sequence analysis using the Barcode of Life Data System (BOLD) and mBRAVE.
• Sequences were assigned to 2,141 barcode index numbers (BINs), serving as species proxies.

Main Results:

• A high percentage of BINs (63%) were shared among the three sampling sites, indicating similar insect communities.
• Shannon diversity and beta diversity analyses (Jaccard, Bray-Curtis) confirmed high BIN similarity across sites.
• Taxonomic assignment identified pests, parasitoids, predators, and pollinators, with 40% of BINs identified to species level.

Conclusions:

• This study provides the first baseline insect biodiversity data for Chinese citrus plantations.
• The findings are valuable for pest management and monitoring beneficial insects in citrus gardens.
• DNA metabarcoding is a robust tool for biodiversity assessment in agricultural settings.