A Fatty Acid Based Bayesian Approach for Inferring Diet in Aquatic Consumers
Galloway, A. W. E., Brett, M. T., Holtgrieve, G. W., Ward, E. J., Ballantyne, A. P., Burns, C. W., Kainz, M. J., Müller-Navarra, D. C., Persson, J., Ravet, J. L., Strandberg, U., Taipale, S., & Alhgren, G. (2015). A Fatty Acid Based Bayesian Approach for Inferring Diet in Aquatic Consumers. PLoS ONE, 10(6), Article e0134258. https://doi.org/10.1371/journal.pone.0129723
Julkaistu sarjassa
PLoS ONETekijät
Päivämäärä
2015We modified the stable isotope mixing model MixSIR to infer primary producer contributions to consumer diets based on their fatty acid composition. To parameterize the algorithm, we generated a ‘consumer-resource library’ of FA signatures of Daphnia fed different algal diets, using 34 feeding trials representing diverse phytoplankton lineages. This library corresponds to the resource or producer file in classic Bayesian mixing models such as MixSIR or SIAR. Because this library is based on the FA profiles of zooplankton consuming known diets, and not the FA profiles of algae directly, trophic modification of consumer lipids is directly accounted for. To test the model, we simulated hypothetical Daphnia comprised of 80% diatoms, 10% green algae, and 10% cryptophytes and compared the FA signatures of these known pseudo-mixtures to outputs generated by the mixing model. The algorithm inferred these simulated consumers were comprised of 82% (63-92%) [median (2.5th to 97.5th percentile credible interval)] diatoms, 11% (4-22%) green algae, and 6% (0-25%) cryptophytes. We used the same model with published phytoplankton stable isotope (SI) data for δ13C and δ15N to examine how a SI based approach resolved a similar scenario. With SI, the algorithm inferred that the simulated consumer assimilated 52% (4-91%) diatoms, 23% (1-78%) green algae, and 18% (1-73%) cyanobacteria. The accuracy and precision of SI based estimates was extremely sensitive to both resource and consumer uncertainty, as well as the trophic fractionation assumption. These results indicate that when using only two tracers with substantial uncertainty for the putative resources, as is often the case in this class of analyses, the underdetermined constraint in consumer-resource SI analyses may be intractable. The FA based approach alleviated the underdetermined constraint because many more FA biomarkers were utilized (n < 20), different primary producers (e.g., diatoms, green algae, and cryptophytes) have very characteristic FA compositions, and the FA profiles of many aquatic primary consumers are strongly influenced by their diets.
...
Julkaisija
Public Library of ScienceISSN Hae Julkaisufoorumista
1932-6203Asiasanat
Julkaisu tutkimustietojärjestelmässä
https://converis.jyu.fi/converis/portal/detail/Publication/24822963
Metadata
Näytä kaikki kuvailutiedotKokoelmat
Lisenssi
Samankaltainen aineisto
Näytetään aineistoja, joilla on samankaltainen nimeke tai asiasanat.
-
Inferring phytoplankton community composition with a fatty acid mixing model
Strandberg, U.; Taipale, Sami; Hiltunen, M.; Galloway, A. W. E.; Brett, M. T.; Kankaala, P. (Ecological Society of America, 2015)Abstract. The taxon specificity of fatty acid composition in algal classes suggests that fatty acids could be used as chemotaxonomic markers for phytoplankton composition. The applicability of phospholipid-derived fatty ... -
Unveiling distribution patterns of freshwater phytoplankton by a next generation sequencing based approach
Eiler, Alexander; Drakare, Stina; Bertilsson, Stefan; Pernthaler, Jakob; Peura, Sari; Rofner, Carina; Simek, Karel; Yang, Yang; Znachor, Petr; Lindström, Eva S (Public Library of Science, 2013)The recognition and discrimination of phytoplankton species is one of the foundations of freshwater biodiversity research and environmental monitoring. This step is frequently a bottleneck in the analytical chain from ... -
Data for: Interacting effects of simulated eutrophication, temperature increase, and microplastic exposure on Daphnia
Kukkonen, Jussi; Vehniäinen, Eeva-Riikka; Hiltunen, Minna (University of Jyväskylä, 2024)Dataset for the publication Hiltunen, M., Vehniäinen, E.-R., & Kukkonen, J. V. K. (2021). Interacting effects of simulated eutrophication, temperature increase, and microplastic exposure on Daphnia. Environmental Research, ... -
Effects of mechanical mixing on lake water quality, with special emphasis on under-ice phytoplankton
Salmi, Pauliina (University of Jyväskylä, 2015) -
Lake restoration influences nutritional quality of algae and consequently Daphnia biomass
Taipale, Sami J.; Kuoppamäki, K.; Strandberg, U.; Peltomaa, E.; Vuorio, K. (Springer, 2020)Food quality is one of the key factors influencing zooplankton population dynamics. Eutrophication drives phytoplankton communities toward the dominance of cyanobacteria, which means a decrease in the availability of sterols ...
Ellei toisin mainittu, julkisesti saatavilla olevia JYX-metatietoja (poislukien tiivistelmät) saa vapaasti uudelleenkäyttää CC0-lisenssillä.