Advances and Limitations of Next Generation Sequencing in Animal Diet Analysis

Autor: Gang Liu, Shumiao Zhang, Xinsheng Zhao, Chao Li, Minghao Gong
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Genes, Vol 12, Iss 12, p 1854 (2021)
Druh dokumentu: article
ISSN: 2073-4425
DOI: 10.3390/genes12121854
Popis: Diet analysis is a critical content of animal ecology and the diet analysis methods have been constantly improving and updating. Contrary to traditional methods of high labor intensity and low resolution, the next generation sequencing (NGS) approach has been suggested as a promising tool for dietary studies, which greatly improves the efficiency and broadens the application range. Here we present a framework of adopting NGS and DNA metabarcoding into diet analysis, and discuss the application in aspects of prey taxa composition and structure, intra-specific and inter-specific trophic links, and the effects of animal feeding on environmental changes. Yet, the generation of NGS-based diet data and subsequent analyses and interpretations are still challenging with several factors, making it possible still not as widely used as might be expected. We suggest that NGS-based diet methods must be furthered, analytical pipelines should be developed. More application perspectives, including nutrient geometry, metagenomics and nutrigenomics, need to be incorporated to encourage more ecologists to infer novel insights on they work.
Databáze: Directory of Open Access Journals