Evidence map›Paper›PMID 35784034›Full record

ArticleEcology and evolution2022

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

Hee Young Yun, Thomas Larsen, Bohyung Choi, Eun-Ji Won, Kyung-Hoon Shin

Open access · goldAbstract read
In one paragraph

Article in Ecology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.9field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 25 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 3 countries.

Hee Young YunDeparment of Marine Science and Convergent Technology Hanyang University Ansan Korea.ORCID https://orcid.org/0000-0002-3418-9097
Thomas LarsenDepartment of Archaeology Max Planck Institute for the Science of Human History Jena Germany.ORCID https://orcid.org/0000-0002-0311-9707
Bohyung ChoiDeparment of Marine Science and Convergent Technology Hanyang University Ansan Korea.ORCID https://orcid.org/0000-0001-6998-400X
Eun-Ji WonDeparment of Marine Science and Convergent Technology Hanyang University Ansan Korea.
Kyung-Hoon ShinDeparment of Marine Science and Convergent Technology Hanyang University Ansan Korea.ORCID https://orcid.org/0000-0002-3169-4274
Hanyang University · KRMax Planck Institute for the Science of Human History · DENational Institute of Fisheries Science · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

amino acid‐specific isotope analysisbiomarkersdiet estimateisotope differentiationtrophic enrichmenttrophic interaction

Identifiers

PMID35784034
PMCPMC9163675
OpenAlexW4281729733

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.