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...

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Autores principales:	Igor Prokopkin, Olesia Makhutova, Elena Kravchuk, Nadezhda Sushchik, Olesia Anishchenko, Michail Gladyshev
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	CSIA-based mixing model IsoError QFASA Daphnia fatty acids food Microbiology QR1-502
Acceso en línea:	https://doaj.org/article/7d64eee6673f449689236dcb9341f3cf
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id	oai:doaj.org-article:7d64eee6673f449689236dcb9341f3cf
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spelling	oai:doaj.org-article:7d64eee6673f449689236dcb9341f3cf2021-11-25T16:52:33ZAssessing the Reliability of Quantitative Fatty Acid Signature Analysis and Compound-Specific Isotope Analysis-Based Mixing Models for Trophic Studies10.3390/biom111115902218-273Xhttps://doaj.org/article/7d64eee6673f449689236dcb9341f3cf2021-10-01T00:00:00Zhttps://www.mdpi.com/2218-273X/11/11/1590https://doaj.org/toc/2218-273XThe 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, <i>Daphnia</i> was fed a mixture of two food items, <i>Chlorella</i> and <i>Cryptomonas,</i> which were supplied in nearly equal proportions. The percentages and isotope values of the FAs of the algal species and <i>Daphnia</i> 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 <i>Chlorella</i> decreased while the proportion of consumption of <i>Cryptomonas</i> 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 <i>Chlorella</i> 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.Igor ProkopkinOlesia MakhutovaElena KravchukNadezhda SushchikOlesia AnishchenkoMichail GladyshevMDPI AGarticleCSIA-based mixing modelIsoErrorQFASADaphniafatty acidsfoodMicrobiologyQR1-502ENBiomolecules, Vol 11, Iss 1590, p 1590 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	CSIA-based mixing model IsoError QFASA Daphnia fatty acids food Microbiology QR1-502
spellingShingle	CSIA-based mixing model IsoError QFASA Daphnia fatty acids food Microbiology QR1-502 Igor Prokopkin Olesia Makhutova Elena Kravchuk Nadezhda Sushchik Olesia Anishchenko Michail Gladyshev Assessing the Reliability of Quantitative Fatty Acid Signature Analysis and Compound-Specific Isotope Analysis-Based Mixing Models for Trophic Studies
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, <i>Daphnia</i> was fed a mixture of two food items, <i>Chlorella</i> and <i>Cryptomonas,</i> which were supplied in nearly equal proportions. The percentages and isotope values of the FAs of the algal species and <i>Daphnia</i> 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 <i>Chlorella</i> decreased while the proportion of consumption of <i>Cryptomonas</i> 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 <i>Chlorella</i> 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	article
author	Igor Prokopkin Olesia Makhutova Elena Kravchuk Nadezhda Sushchik Olesia Anishchenko Michail Gladyshev
author_facet	Igor Prokopkin Olesia Makhutova Elena Kravchuk Nadezhda Sushchik Olesia Anishchenko Michail Gladyshev
author_sort	Igor Prokopkin
title	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_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_sort	assessing the reliability of quantitative fatty acid signature analysis and compound-specific isotope analysis-based mixing models for trophic studies
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/7d64eee6673f449689236dcb9341f3cf
work_keys_str_mv	AT igorprokopkin assessingthereliabilityofquantitativefattyacidsignatureanalysisandcompoundspecificisotopeanalysisbasedmixingmodelsfortrophicstudies AT olesiamakhutova assessingthereliabilityofquantitativefattyacidsignatureanalysisandcompoundspecificisotopeanalysisbasedmixingmodelsfortrophicstudies AT elenakravchuk assessingthereliabilityofquantitativefattyacidsignatureanalysisandcompoundspecificisotopeanalysisbasedmixingmodelsfortrophicstudies AT nadezhdasushchik assessingthereliabilityofquantitativefattyacidsignatureanalysisandcompoundspecificisotopeanalysisbasedmixingmodelsfortrophicstudies AT olesiaanishchenko assessingthereliabilityofquantitativefattyacidsignatureanalysisandcompoundspecificisotopeanalysisbasedmixingmodelsfortrophicstudies AT michailgladyshev assessingthereliabilityofquantitativefattyacidsignatureanalysisandcompoundspecificisotopeanalysisbasedmixingmodelsfortrophicstudies
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Assessing the Reliability of Quantitative Fatty Acid Signature Analysis and Compound-Specific Isotope Analysis-Based Mixing Models for Trophic Studies

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