Who is eating what: diet assessment using next generation sequencing

Area of Science:

• Ecology
• Molecular Biology
• Bioinformatics

Background:

• Understanding food webs and community ecology relies on accurate dietary analysis.
• Traditional methods for dietary assessment are labor-intensive and lack resolution.
• DNA-based techniques offer more precise methods for identifying consumed species.

Purpose of the Study:

• To review the capabilities and limitations of next-generation sequencing (NGS) for DNA-based diet studies.
• To guide the selection of appropriate DNA barcodes for dietary analysis.
• To discuss technical, analytical, and data validation considerations for NGS diet research.

Main Methods:

• DNA metabarcoding utilizes next-generation sequencing (NGS) to identify species from DNA in gut or fecal samples.
• PCR amplification of DNA barcodes, followed by sequencing and database comparison, identifies consumed organisms.
• NGS enables high-throughput analysis of multiple samples, revealing diverse dietary components simultaneously.

Main Results:

• NGS significantly enhances the scale and resolution of dietary studies compared to older molecular methods.
• The choice of DNA barcode and reference database critically impacts study accuracy.
• Technical and analytical pipelines require careful consideration for reliable results.

Conclusions:

• NGS-based DNA metabarcoding is a promising tool for advancing food web and community ecology research.
• Careful methodology, including barcode selection and data validation, is essential for accurate dietary insights.
• Future improvements in NGS technology and database expansion will further enhance its utility.