4.5 Article

Amino acid nitrogen and carbon isotope data: Potential and implications for ecological studies

期刊

ECOLOGY AND EVOLUTION
卷 12, 期 6, 页码 -

出版社

WILEY
DOI: 10.1002/ece3.8929

关键词

amino acid-specific isotope analysis; biomarkers; diet estimate; isotope differentiation; trophic enrichment; trophic interaction

资金

  1. Korea Environment Industry and Technology Institute (KEITI) [2020002970007/1485018715]
  2. National Institute of Fisheries Science [R2022073]

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Explaining food web dynamics and functioning relies on understanding feeding relations within a community. Stable isotope ratios (SIRs), including both bulk SIRs and individual amino acid (AA) SIRs, are valuable tools to express these feeding relations. This study introduces a comprehensive approach to assess carbon and nitrogen AA-SIR and reviews its versatile applications in improving our understanding of ecological processes and food web functioning.
Explaining food web dynamics, stability, and functioning depend substantially on understanding of feeding relations within a community. Bulk stable isotope ratios (SIRs) in natural abundance are well-established tools to express direct and indirect feeding relations as continuous variables across time and space. Along with bulk SIRs, the SIRs of individual amino acids (AAs) are now emerging as a promising and complementary method to characterize the flow and transformation of resources across a diversity of organisms, from microbial domains to macroscopic consumers. This significant AA-SIR capacity is based on empirical evidence that a consumer's SIR, specific to an individual AA, reflects its diet SIR coupled with a certain degree of isotopic differences between the consumer and its diet. However, many empirical ecologists are still unfamiliar with the scope of applicability and the interpretative power of AA-SIR. To fill these knowledge gaps, we here describe a comprehensive approach to both carbon and nitrogen AA-SIR assessment focusing on two key topics: pattern in AA-isotope composition across spatial and temporal scales, and a certain variability of AA-specific isotope differences between the diet and the consumer. On this basis we review the versatile applicability of AA-SIR to improve our understanding of physiological processes as well as food web functioning, allowing us to reconstruct dominant basal dietary sources and trace their trophic transfers at the specimen and community levels. Given the insightful and opportunities of AA-SIR, we suggest future applications for the dual use of carbon and nitrogen AA-SIR to study more realistic food web structures and robust consumer niches, which are often very difficult to explain in nature.

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