IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v323y2016icp96-105.html
   My bibliography  Save this article

A general model of polyunsaturated fatty acid (PUFA) uptake, loss and transformation in freshwater fish

Author

Listed:
  • Sawyer, Jennifer M.
  • Arts, Michael T.
  • Arhonditsis, George
  • Diamond, Miriam L.

Abstract

Polyunsaturated fatty acids (PUFA) are crucial nutrients for fish and have been identified as globally-limited nutrients that are needed for ecosystem and human health. Greater understanding is needed into the processes influencing observed PUFA levels in fish because human demand for PUFA is increasing due to their nutritional benefits and because anthropogenic stresses threaten to reduce PUFA production. We present a general, process-based mass balance model for freshwater fish that estimates concentrations of n-3 (α-linolenic acid: ALA, eicosapentaenoic acid: EPA and docosahexaenoic acid: DHA) and n-6 (linoleic acid: LIN and arachidonic acid: ARA) PUFA from prey food items. Our model considers the processes of dietary uptake, absorption efficiency, egestion, transformation (elongation and/or desaturation) and β-oxidation. The model relies on rate constants derived from multiple regression analysis for egestion, transformation and β-oxidation based on ecological and physiological variables (i.e. body weight, diet, PUFA interactions). All regression equations had adjusted R2≥0.47 and p values <0.001. Application of the model to Yellow Perch (Perca flavescens) from the Upper Bay of Quinte, Canada provided estimates of ALA, EPA, DHA, LIN and ARA contents that were within a standard deviation of measured values without model calibration. The model showed that diet was the main source of ALA, EPA, LIN and ARA. Transformation of EPA to DHA was the dominant source of DHA. We hypothesize that within-fish transformation of precursor and the resultant product PUFA can compensate, to some extent, for dietary deficiencies in long chain PUFA in the diet of this freshwater fish.

Suggested Citation

  • Sawyer, Jennifer M. & Arts, Michael T. & Arhonditsis, George & Diamond, Miriam L., 2016. "A general model of polyunsaturated fatty acid (PUFA) uptake, loss and transformation in freshwater fish," Ecological Modelling, Elsevier, vol. 323(C), pages 96-105.
    • Handle: RePEc:eee:ecomod:v:323:y:2016:i:c:p:96-105
    DOI: 10.1016/j.ecolmodel.2015.12.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380015005566
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2015.12.004?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Dörthe C. Müller-Navarra & Michael T. Brett & Sangkyu Park & Sudeep Chandra & Ashley P. Ballantyne & Eduardo Zorita & Charles R. Goldman, 2004. "Unsaturated fatty acid content in seston and tropho-dynamic coupling in lakes," Nature, Nature, vol. 427(6969), pages 69-72, January.
    2. Arhonditsis, George B. & Qian, Song S. & Stow, Craig A. & Lamon, E. Conrad & Reckhow, Kenneth H., 2007. "Eutrophication risk assessment using Bayesian calibration of process-based models: Application to a mesotrophic lake," Ecological Modelling, Elsevier, vol. 208(2), pages 215-229.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xu, Yanhong & Peng, Hong & Yang, Yinqun & Zhang, Wanshun & Wang, Shuangling, 2014. "A cumulative eutrophication risk evaluation method based on a bioaccumulation model," Ecological Modelling, Elsevier, vol. 289(C), pages 77-85.
    2. Zhang, Weitao & Arhonditsis, George B., 2009. "A Bayesian hierarchical framework for calibrating aquatic biogeochemical models," Ecological Modelling, Elsevier, vol. 220(18), pages 2142-2161.
    3. McDonald, C.P. & Bennington, V. & Urban, N.R. & McKinley, G.A., 2012. "1-D test-bed calibration of a 3-D Lake Superior biogeochemical model," Ecological Modelling, Elsevier, vol. 225(C), pages 115-126.
    4. Yang, Likun & Zhao, Xinhua & Peng, Sen & Li, Xia, 2016. "Water quality assessment analysis by using combination of Bayesian and genetic algorithm approach in an urban lake, China," Ecological Modelling, Elsevier, vol. 339(C), pages 77-88.
    5. Katin, Alexey & Giudice, Dario Del & Hall, Nathan S. & Paerl, Hans W. & Obenour, Daniel R., 2021. "Simulating algal dynamics within a Bayesian framework to evaluate controls on estuary productivity," Ecological Modelling, Elsevier, vol. 447(C).
    6. Aalirezaei, Armin & Kabir, Dr. Golam & Khan, Md Saiful Arif, 2023. "Dynamic predictive analysis of the consequences of gas pipeline failures using a Bayesian network," International Journal of Critical Infrastructure Protection, Elsevier, vol. 43(C).
    7. Ramin, Maryam & Labencki, Tanya & Boyd, Duncan & Trolle, Dennis & Arhonditsis, George B., 2012. "A Bayesian synthesis of predictions from different models for setting water quality criteria," Ecological Modelling, Elsevier, vol. 242(C), pages 127-145.
    8. Mata Almonacid, Pablo & Medel, Carolina, 2022. "A structure-preserving model for the dynamics of estuarine ecosystems and its application in western Patagonia fjords," Ecological Modelling, Elsevier, vol. 466(C).
    9. Alessio C. Spassiani & Matthew S. Mason & Vincent Y. S. Cheng, 2023. "An Australian convective wind gust climatology using Bayesian hierarchical modelling," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 118(3), pages 2037-2067, September.
    10. Shimoda, Yuko & Arhonditsis, George B., 2016. "Phytoplankton functional type modelling: Running before we can walk? A critical evaluation of the current state of knowledge," Ecological Modelling, Elsevier, vol. 320(C), pages 29-43.
    11. Zhang, Weitao & Watson, Sue B. & Rao, Yerubandi R. & Kling, Hedy J., 2013. "A linked hydrodynamic, water quality and algal biomass model for a large, multi-basin lake: A working management tool," Ecological Modelling, Elsevier, vol. 269(C), pages 37-50.
    12. Ramin, Maryam & Perhar, Gurbir & Shimoda, Yuko & Arhonditsis, George B., 2012. "Examination of the effects of nutrient regeneration mechanisms on plankton dynamics using aquatic biogeochemical modeling," Ecological Modelling, Elsevier, vol. 240(C), pages 139-155.
    13. Law, Tony & Zhang, Weitao & Zhao, Jingyang & Arhonditsis, George B., 2009. "Structural changes in lake functioning induced from nutrient loading and climate variability," Ecological Modelling, Elsevier, vol. 220(7), pages 979-997.
    14. Lindim, C. & Pinho, J.L. & Vieira, J.M.P., 2011. "Analysis of spatial and temporal patterns in a large reservoir using water quality and hydrodynamic modeling," Ecological Modelling, Elsevier, vol. 222(14), pages 2485-2494.
    15. Kim, Dong-Kyun & Zhang, Weitao & Rao, Yerubandi R. & Watson, Sue & Mugalingam, Shan & Labencki, Tanya & Dittrich, Maria & Morley, Andrew & Arhonditsis, George B., 2013. "Improving the representation of internal nutrient recycling with phosphorus mass balance models: A case study in the Bay of Quinte, Ontario, Canada," Ecological Modelling, Elsevier, vol. 256(C), pages 53-68.
    16. Rafael Bermúdez & Yuanyuan Feng & Michael Y Roleda & Avery O Tatters & David A Hutchins & Thomas Larsen & Philip W Boyd & Catriona L Hurd & Ulf Riebesell & Monika Winder, 2015. "Long-Term Conditioning to Elevated pCO2 and Warming Influences the Fatty and Amino Acid Composition of the Diatom Cylindrotheca fusiformis," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-15, May.
    17. Zhang, Weitao & Kim, Dong-Kyun & Rao, Yerubandi R. & Watson, Sue & Mugalingam, Shan & Labencki, Tanya & Dittrich, Maria & Morley, Andrew & Arhonditsis, George B., 2013. "Can simple phosphorus mass balance models guide management decisions? A case study in the Bay of Quinte, Ontario, Canada," Ecological Modelling, Elsevier, vol. 257(C), pages 66-79.
    18. Perhar, Gurbir & Arhonditsis, George B., 2009. "The effects of seston food quality on planktonic food web patterns," Ecological Modelling, Elsevier, vol. 220(6), pages 805-820.
    19. Zhao, Jingyang & Ramin, Maryam & Cheng, Vincent & Arhonditsis, George B., 2008. "Plankton community patterns across a trophic gradient: The role of zooplankton functional groups," Ecological Modelling, Elsevier, vol. 213(3), pages 417-436.
    20. Rigosi, Anna & Rueda, Francisco J., 2012. "Propagation of uncertainty in ecological models of reservoirs: From physical to population dynamic predictions," Ecological Modelling, Elsevier, vol. 247(C), pages 199-209.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:323:y:2016:i:c:p:96-105. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.