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

Yun, H. Y., Larsen, T., Choi, B., Won, E.-J., & Shin, K.-H. (2022). Amino acid nitrogen and carbon isotope data: potential and implications for ecological studies. Ecology and Evolution, 12(6): e8929, pp. 1-22. doi:10.1002/ece3.8929.

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 Creators:
Yun, Hee Young, Author
Larsen, Thomas1, Author           
Choi, Bohyung, Author
Won, Eun-Ji, Author
Shin, Kyung-Hoon, Author
Affiliations:
1Archaeology, Max Planck Institute for the Science of Human History, Max Planck Society, ou_2074312              

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Free keywords: amino acid-specific isotope analysis, biomarkers, diet estimate, isotope differentiation, trophic enrichment, trophic interaction
 Abstract: 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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Language(s): eng - English
 Dates: 2022-02-052022-06
 Publication Status: Issued
 Pages: 22
 Publishing info: -
 Table of Contents: 1 Introduction
2 Understanding of AA isotope ratios variance for ecological studies
2.1 N and C isotope variability in consumer AAs
2.2 Is AA-SIR variable across spatio-temporal scales?
3 Common use of AA δ15N and AA δ13C variables for food webs studies
3.1 Estimating consumer TP
3.2 Identifying multiple producers using AA isotope fingerprints
3.3 Identifying nutritional sources from non-AA components
4 Interpretation of AA-SIR for defining trophic transfer between green and brown food webs
4.1 Defining trophic interactions of consumers with green- as well as brown-based resource
4.2 Quantifying the relative importance of green vs brown sources in consumer diets
5 Limitations of AA-SIR in identifying food web structures and ecosystem functioning
5.1 AA δ15N approach: Beyond the robust ΔN patterns in consumers
5.2 AA δ15N approach: Beyond the robust ΔN patterns in primary producers
5.3 Beyond dietary EAA δ13C estimates: Effects of the microbiome
6. Collaboration of N and C-SIR in AAs: Future study
6.1 Suggestion 1. Proxies for assessing the ecological niche of a focal species
6.2 Suggestion 2. Estimating complex diet composition of omnivores
7 Conclusion
 Rev. Type: Peer
 Identifiers: DOI: 10.1002/ece3.8929
DOI: 10.22541/au.164405367.78813137/v1
Other: shh3140
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Title: Ecology and Evolution
Source Genre: Journal
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Publ. Info: John Wiley & Sons, Inc.
Pages: - Volume / Issue: 12 (6) Sequence Number: e8929 Start / End Page: 1 - 22 Identifier: ISSN: 2045-7758
CoNE: https://pure.mpg.de/cone/journals/resource/2045-7758

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Title: Authorea
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Pages: - Volume / Issue: - Sequence Number: 164405367.78813137/v1 Start / End Page: - Identifier: URN: https://www.authorea.com/