Evidence map›Paper›PMID 33900451›Full record

ArticleOecologia2021

Fatty acid accumulation in feeding types of a natural freshwater fish population.

Kristin Scharnweber, Fernando Chaguaceda, Peter Eklöv

Open access · hybridAbstract read
In one paragraph

Article in Oecologia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.9field-weighted citation impact, top 5% 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

11 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
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  6. The Effect of Feeding with Chironomid andAquaculture nutrition · 2024
    Article
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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

3 authors at 1 institution in 2 countries.

Kristin ScharnweberDepartment of Ecology and Genetics, Limnology, Uppsala University, Uppsala, Sweden. scharnweber@uni-potsdam.de.ORCID http://orcid.org/0000-0003-2858-5947
Fernando ChaguacedaDepartment of Ecology and Genetics, Limnology, Uppsala University, Uppsala, Sweden.
Peter EklövDepartment of Ecology and Genetics, Limnology, Uppsala University, Uppsala, Sweden.
Uppsala University · SE

Funding

Knut och Alice Wallenbergs Stiftelse KAW 502 2013.0091
6 · The paper itself

Abstract

Fatty acids are widely used to study trophic interactions in food web assemblages. Generally, it is assumed that there is a very small modification of fatty acids from one trophic step to another, making them suitable as trophic biomarkers. However, recent literature provides evidence that many fishes possess genes encoding enzymes with a role in bioconversion, thus the capability for bioconversion might be more widespread than previously assumed. Nonetheless, empirical evidence for biosynthesis occurring in natural populations remains scarce. In this study, we investigated different feeding types of perch (Perca fluviatilis) that are specialized on specific resources with different levels of highly unsaturated fatty acids (HUFAs), and analyzed the change between HUFA proportions in perch muscle tissue compared to their resources. Perch showed matching levels to their resources for EPA, but ARA and especially DHA were accumulated. Compound-specific stable isotope analyses helped us to identify the origin of HUFA carbon. Our results suggest that perch obtain a substantial amount of DHA via bioconversion when feeding on DHA-poor benthic resources. Thus, our data indicate the capability of bioconversion of HUFAs in a natural freshwater fish population.

Indexed as

Fatty AcidsPerchesAnimalsFatty Acids, UnsaturatedFood ChainLakesFatty AcidsFatty Acids, UnsaturatedBioconversionCompound-specific stable isotope analysisDocosahexaenoic acidFatty acid conversionTrophic upgrading

Identifiers

PMID33900451
PMCPMC8139920
OpenAlexW3015992299

What OpenQuestion holds

Textmetadata
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.