Cargando…

Assessing the Reliability of Quantitative Fatty Acid Signature Analysis and Compound-Specific Isotope Analysis-Based Mixing Models for Trophic Studies

The study of the trophic relationships of aquatic animals requires correct estimates of their diets. We compared the quantitative fatty acid signature analysis (QFASA) and the isotope-mixing model IsoError, based on the compound-specific isotope analysis of fatty acids (CSIA-FA), which are potential...

Descripción completa

Detalles Bibliográficos
Autores principales: Prokopkin, Igor, Makhutova, Olesia, Kravchuk, Elena, Sushchik, Nadezhda, Anishchenko, Olesia, Gladyshev, Michail
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8615491/
https://www.ncbi.nlm.nih.gov/pubmed/34827588
http://dx.doi.org/10.3390/biom11111590
_version_ 1784604117494136832
author Prokopkin, Igor
Makhutova, Olesia
Kravchuk, Elena
Sushchik, Nadezhda
Anishchenko, Olesia
Gladyshev, Michail
author_facet Prokopkin, Igor
Makhutova, Olesia
Kravchuk, Elena
Sushchik, Nadezhda
Anishchenko, Olesia
Gladyshev, Michail
author_sort Prokopkin, Igor
collection PubMed
description The study of the trophic relationships of aquatic animals requires correct estimates of their diets. We compared the quantitative fatty acid signature analysis (QFASA) and the isotope-mixing model IsoError, based on the compound-specific isotope analysis of fatty acids (CSIA-FA), which are potentially effective models for quantitative diet estimations. In a 21-day experiment, Daphnia was fed a mixture of two food items, Chlorella and Cryptomonas, which were supplied in nearly equal proportions. The percentages and isotope values of the FAs of the algal species and Daphnia were measured. The IsoError based on CSIA-FA gave an estimation of algae consumption using only one FA, 18:3n-3. According to this model, the proportion of consumption of Chlorella decreased while the proportion of consumption of Cryptomonas increased during the experiment. The QFASA model was used for two FA subsets—the extended-dietary subset, which included sixteen FAs, and the dietary one, which included nine FAs. According to both subsets, the portion of consumed Chlorella decreased from Day 5 to 10 and then increased at Day 21. The comparison of the two model approaches showed that the QFASA model is a more reliable method to determine the contribution of different food sources to the diet of zooplankton than the CSIA-based mixing model.
format Online
Article
Text
id pubmed-8615491
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-86154912021-11-26 Assessing the Reliability of Quantitative Fatty Acid Signature Analysis and Compound-Specific Isotope Analysis-Based Mixing Models for Trophic Studies Prokopkin, Igor Makhutova, Olesia Kravchuk, Elena Sushchik, Nadezhda Anishchenko, Olesia Gladyshev, Michail Biomolecules Article The study of the trophic relationships of aquatic animals requires correct estimates of their diets. We compared the quantitative fatty acid signature analysis (QFASA) and the isotope-mixing model IsoError, based on the compound-specific isotope analysis of fatty acids (CSIA-FA), which are potentially effective models for quantitative diet estimations. In a 21-day experiment, Daphnia was fed a mixture of two food items, Chlorella and Cryptomonas, which were supplied in nearly equal proportions. The percentages and isotope values of the FAs of the algal species and Daphnia were measured. The IsoError based on CSIA-FA gave an estimation of algae consumption using only one FA, 18:3n-3. According to this model, the proportion of consumption of Chlorella decreased while the proportion of consumption of Cryptomonas increased during the experiment. The QFASA model was used for two FA subsets—the extended-dietary subset, which included sixteen FAs, and the dietary one, which included nine FAs. According to both subsets, the portion of consumed Chlorella decreased from Day 5 to 10 and then increased at Day 21. The comparison of the two model approaches showed that the QFASA model is a more reliable method to determine the contribution of different food sources to the diet of zooplankton than the CSIA-based mixing model. MDPI 2021-10-27 /pmc/articles/PMC8615491/ /pubmed/34827588 http://dx.doi.org/10.3390/biom11111590 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Prokopkin, Igor
Makhutova, Olesia
Kravchuk, Elena
Sushchik, Nadezhda
Anishchenko, Olesia
Gladyshev, Michail
Assessing the Reliability of Quantitative Fatty Acid Signature Analysis and Compound-Specific Isotope Analysis-Based Mixing Models for Trophic Studies
title Assessing the Reliability of Quantitative Fatty Acid Signature Analysis and Compound-Specific Isotope Analysis-Based Mixing Models for Trophic Studies
title_full Assessing the Reliability of Quantitative Fatty Acid Signature Analysis and Compound-Specific Isotope Analysis-Based Mixing Models for Trophic Studies
title_fullStr Assessing the Reliability of Quantitative Fatty Acid Signature Analysis and Compound-Specific Isotope Analysis-Based Mixing Models for Trophic Studies
title_full_unstemmed Assessing the Reliability of Quantitative Fatty Acid Signature Analysis and Compound-Specific Isotope Analysis-Based Mixing Models for Trophic Studies
title_short Assessing the Reliability of Quantitative Fatty Acid Signature Analysis and Compound-Specific Isotope Analysis-Based Mixing Models for Trophic Studies
title_sort assessing the reliability of quantitative fatty acid signature analysis and compound-specific isotope analysis-based mixing models for trophic studies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8615491/
https://www.ncbi.nlm.nih.gov/pubmed/34827588
http://dx.doi.org/10.3390/biom11111590
work_keys_str_mv AT prokopkinigor assessingthereliabilityofquantitativefattyacidsignatureanalysisandcompoundspecificisotopeanalysisbasedmixingmodelsfortrophicstudies
AT makhutovaolesia assessingthereliabilityofquantitativefattyacidsignatureanalysisandcompoundspecificisotopeanalysisbasedmixingmodelsfortrophicstudies
AT kravchukelena assessingthereliabilityofquantitativefattyacidsignatureanalysisandcompoundspecificisotopeanalysisbasedmixingmodelsfortrophicstudies
AT sushchiknadezhda assessingthereliabilityofquantitativefattyacidsignatureanalysisandcompoundspecificisotopeanalysisbasedmixingmodelsfortrophicstudies
AT anishchenkoolesia assessingthereliabilityofquantitativefattyacidsignatureanalysisandcompoundspecificisotopeanalysisbasedmixingmodelsfortrophicstudies
AT gladyshevmichail assessingthereliabilityofquantitativefattyacidsignatureanalysisandcompoundspecificisotopeanalysisbasedmixingmodelsfortrophicstudies