Spatial Patterns and Temperature Predictions of Tuna Fatty Acids: Tracing Essential Nutrients and Changes in Primary Producers
Open accessAbstract
Fatty acids are among the least understood nutrients in marine environments, despite their profile as key energy components of food webs and that they are essential to all life forms. Presented here is a novel approach to predict the spatial-temporal distributions of fatty acids in marine resources using generalized additive mixed models. Fatty acid tracers (FAT) of key primary producers, nutritional condition indices and concentrations of two essential long-chain (≥C20) omega-3 fatty acids (EFA) measured in muscle of albacore tuna, Thunnus alalunga, sampled in the south-west Pacific Ocean were response variables. Predictive variables were: location, time, sea surface temperature (SST) and chlorophyll-a (Chla), and phytoplankton biomass at time of catch and curved fork length. The best model fit for all fatty acid parameters included fish length and SST. The first oceanographic contour maps of EFA and FAT (FATscapes) were produced and demonstrated clear geographical gradients in the study region. Predicted changes in all fatty acid parameters reflected shifts in the size-structure of dominant primary producers. Model projections show that the supply and availability of EFA are likely to be negatively affected by increases in SST especially in temperate waters where a 12% reduction in both total fatty acid content and EFA proportions are predicted. Such changes will have large implications for the availability of energy and associated health benefits to high-order consumers. Results convey new concerns on impacts of projected climate change on fish-derived EFA in marine systems.
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Global warming could significantly reduce the concentration of fatty acids in tunas, which are beneficial for the consumer.
“el calentamiento global podría reducir significativamente la concentración de ácidos grasos en túnidos, los cuales son beneficiosos para el consumidor (Pethybridge et al. 2015).”
From Túnidos tropicales: calentamiento global y seguridad alimentaria, una visión global (2019) · cites this paper as Pethybridge et al. 2015
The Results project lower total fatty acids and EPA and DHA concentrations in albacore tuna under a 1°C rise in sea surface temperature; the Discussion identifies EPA and DHA as beneficial to human nutrition. The claim extends this prediction to tunas generally, whereas the reported projections concern albacore, with the largest declines in temperate waters. (LLM, conf=0.85)
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Research works printed but not linked: 50
- [1]Das UN (2006) Essential fatty acids-a review. Current pharmaceutical biotechnology 7(6): 467– 482. 17168664
- [2]Paulsen M, Clemmesen C, Malzahn AM (2014) Essential fatty acid (docosahexaenoic acid, DHA) availability affects growth of larval herring in the field. Mar Biol 161(1): 239– 244.
- [3]Cunnane SC, Crawford MA (2014) Energetic and nutritional constraints on infant brain development: Implications for brain expansion during human evolution. J Hum Evol 77, 88– 98. 10.1016/j.jhevol.2014.05.001 24928072 · DOI
- [5]Nakamura MT, Cho HP, Xu J, Tang Z, Clarke SD (2001) Metabolism and function of highly unsaturated fatty acids: an update. Lipids 36(9): 961– 964. 11724468
- [8]Tocher DR (2010) Fatty acid requirements in ontogeny of marine and freshwater fish. Aquac Res 41(5): 717– 732.
- [9]Okuyama H, Orikasa Y, Nishida T, Watanabe K, Morita N (2007) Bacterial genes responsible for the biosynthesis of eicosapentaenoic and docosahexaenoic acids and their heterologous expression. Appl Environ Microbiol 73: 665– 670. 17122401 PMC1800774
- [11]Dalsgaard J, St John M, Kattner G, Müller-Navarra D, Hagen W (2003) Fatty acid trophic markers in the pelagic marine environment. Adv Mar Biol 46: 225– 340. 14601414
- [12]Sommer U, Lengfellner K (2008) Climate change and the timing, magnitude, and composition of the phytoplankton spring bloom. Global Change Biol 14(6): 1199– 1208.
- [13]Klais R, Tamminen T, Kremp A, Spilling K, Olli K (2011) Decadal-scale changes of dinoflagellates and diatoms in the anomalous Baltic Sea spring bloom. PLOS ONE 6(6): e21567 10.1371/journal.pone.0021567 21747911 PMC3126836 · DOI
- [15]Polovina JJ, Dunne JP, Woodworth PA, Howell EA (2011) Projected expansion of the subtropical biome and contraction of the temperate and equatorial upwelling biomes in the North Pacific under global warming. ICES J Mar Sci 10.1093/icesjms/fsq198 · DOI · Paper page
- [16]Gladyshev MI, Sushchik NN, Anishchenko OV, Makhutova ON, Kolmakov VI, Kalachova GS, et al (2011) Efficiency of transfer of essential polyunsaturated fatty acids versus organic carbon from producers to consumers in a eutrophic reservoir. Oecologia 165(2): 521– 531. 10.1007/s00442-010-1843-6 21107868 · DOI
- [17]Perhar G, Arhonditsis GB, Brett MT (2012) Modelling the role of highly unsaturated fatty acids in planktonic food web processes: a mechanistic approach. Env Rev 20(3): 155– 172.
- [18]Reuss N, Poulsen L (2002) Evaluation of fatty acids as biomarkers for a natural plankton community. A field study of a spring bloom and a post-bloom period off West Greenland. Mar Biol 141(3): 423– 434.
- [19]Rossi S, Sabatés A, Latasa M, Reyes E (2006) Lipid biomarkers and trophic linkages between phytoplankton, zooplankton and anchovy (Engraulis encrasicolus) larvae in the NW Mediterranean. J Plankton Res 28(6): 551– 562.
- [22]Pethybridge HP, Young JW, Kuhnert PM, Farley JH (2015) Stable isotopes of albacore tuna show bioregions and a potential regime shift in the south-western Pacific Ocean. Prog Oceanogr In press.
- [26]Hobday AJ, Pecl GT (2014) Identification of global marine hotspots: sentinels for change and vanguards for adaptation action. Rev Fish Biol Fisher 24(2): 415– 425.
- [28]Barnes C, Irigoien X, De Oliveira JA, Maxwell D, Jennings S (2011) Predicting marine phytoplankton community size structure from empirical relationships with remotely sensed variables. J Plankton Res 33(1): 13– 24.
- [29]Parrish CC, Nichols PD, Pethybridge H, Young J (2015) Direct determination of fatty acids in fish tissue in order to define and then quantify top predator trophic connections in the marine environment. Oecologia 177(1), 85– 95. 10.1007/s00442-014-3131-3 25376156 · DOI
- [30]Parrish CC, French VM, Whiticar MJ (2012) Lipid class and fatty acid composition of copepods (Calanus finmarchicus, C. glacialis, Pseudocalanus sp., Tisbe furcata and Nitokra lacustris) fed various combinations of autotrophic and heterotrophic protists. J Plankton Res 34(5): 356– 375.
- [31]Viso AC, Marty JC (1993) Fatty acids from 28 marine microalgae. Phytochem 34(6): 1521– 1533.
- [32]Sargent JR, Parkes RJ, Mueller-Harvey I, Henderson RJ (1987) Lipid biomarkers in marine ecology In: Sleigh MA, editor. Microbes in the Sea. Chichester: Ellis Horwood Ltd pp. 119– 138.
- [33]Parrish CC (2009) Essential fatty acids in aquatic food webs In: Arts MT, Brett MT, Kainz M, editors. Lipids in Aquatic Ecosystems. New York: Springer pp. 309– 326.
- [34]Metz JG, Roessler P, Facciotti D, Levering C, Dittrich F, Lassner M, et al (2001) Production of polyunsaturated fatty acids by polyketide synthase in both prokaryotes and eukaryotes. Science 293: 290– 293 11452122
- [35]Loef M, Walach H (2013) The omega-6/omega-3 ratio and dementia or cognitive decline: a systematic review on human studies and biological evidence. J Nutr Gerontol Geriatr 32, 1– 23. 10.1080/21551197.2012.752335 23451843 · DOI
- [37]Burnham KP, Anderson DR (2004) Multimodel inference understanding AIC and BIC in model selection. Sociol method Res 33(2): 261– 304.
- [40]West JB, Bowen GJ, Dawson TE, Tu KP (2010) Understanding movement, pattern, and process on Earth through isotope mapping. New York: Springer.
- [43]Tocher DR, Sargent JR (1990) Effect of temperature on the incorporation into phospholipid classes and metabolism via desaturation and elongation of n-3 and n-6 polyunsaturated fatty acids in fish cells in culture. Lipids 25: 435– 442. 2338561
- [46]Renaud SM, Thinh LV, Lambrinidis G, Parry DL (2002) Effect of temperature on growth, chemical composition and fatty acid composition of tropical Australian microalgae grown in batch cultures. Aquaculture 211(1): 195– 214.
- [48]Arts MT, Kohler CC (2009) Health and condition in fish: the influence of lipids on membrane competency and immune response In: Arts MT, Brett MT, Kainz M, editors. Lipids in Aquatic Ecosystems. New York: Springer pp 237– 256.
- [49]FAO-WHO (2010) Fats and Fatty Acids in Human Nutrition. Rome: FAO Food and nutrition paper 91, Report of an expert consultation, Geneva, November 10–14, 2008. 21812367
- [50]Aranceta J, Pérez-Rodrigo C (2012) Recommended dietary reference intakes, nutritional goals and dietary guidelines for fat and fatty acids: a systematic review. British J Nutr 107(S2): S8– S22. 22591906
- [51]Wijendran V, Hayes KC (2004) Dietary n-6 and n-3 fatty acid balance and cardiovascular health. Annu Rev Nutr 24: 597– 615. 15189133
- [52]Uauy R, Dangour AD (2006) Nutrition in brain development and aging: role of essential fatty acids. Nutr Rev 64(s2): S24– S33. 16770950
- [53]Deckelbaum RJ, Torrejon C (2012) The omega-3 fatty acid nutritional landscape: health benefits and sources. J Nutr 142(3): 587S– 591. 10.3945/jn.111.148080 22323763 PMC3278270 · DOI
- [54]Naylor RL, Hardy RW, Bureau DP, Chiu A, Elliott M, Farrell AP, et al (2009) Feeding aquaculture in an era of finite resources. Proc Natl Acad Sci 106(36): 15103– 15110. 10.1073/pnas.0905235106 19805247 PMC2741212 · DOI
- [56]Boyd PW, Strzepek R, Fu F, Hutchins DA (2010) Environmental control of open-ocean phytoplankton groups: Now and in the future. Limnology and Oceanogr 55(3): 1353.
- [58]Lewandowska AM, Boyce DG, Hofmann M, Matthiessen B, Sommer U, Worm B (2014) Effects of sea surface warming on marine plankton. Ecol Letters 17(5): 614– 623. 24575918
- [59]Suikkanen S, Pulina S, Engström-Öst J, Lehtiniemi M, Lehtinen S, Brutemark A (2013) Climate change and eutrophication induced shifts in northern summer plankton communities. PLOS ONE 8(6): e66475 10.1371/journal.pone.0066475 23776676 PMC3680480 · DOI
- [60]Müller-Navarra DC, Brett MT, Liston AM, Goldman CR (2000) A highly unsaturated fatty acid predicts carbon transfer between primary producers and consumers. Nature 403: 74– 77. 10638754
- [61]Park S, Brett MT, Muller-Navarra DC, Goldman CR (2002) Essential fatty acid content and the phosphorus to carbon ratio in cultured algae as indicators of food quality for Daphnia. Freshwater Biol 47(8), 1377– 1390.
- [63]Young JW, Bradford R, Lamb TD, Clementson LA, Kloser R, Galea H (2001) Yellowfin tuna (Thunnus albacares) aggregations along the shelf break off south-eastern Australia: links between inshore and offshore processes. Mar Freshwat Res 52(4): 463– 474.
- [64]Farley JH, Williams AJ, Hoyle SD, Davies CR, Nicol SJ (2013) Reproductive dynamics and potential annual fecundity of South Pacific albacore tuna (Thunnus alalunga). PLOS ONE 8(4): e60577. 23565258 PMC3614989
- [66]Goñi N, Logan J, Arrizabalaga H, Jarry M, Lutcavage M (2011) Variability of albacore (Thunnus alalunga) diet in the Northeast Atlantic and Mediterranean Sea. Mar Biol 158(5): 1057– 1073.
- [67]Ridgway K R, Dunn JR (2003) Mesoscale structure of the mean East Australian Current System and its relationship with topography. Prog Oceanogr 56(2): 189– 222.
- [70]Bax N J, Burford M, Clementson L, Davenport S (2001) Phytoplankton blooms and production sources on the south-east Australian continental shelf. Mar Freshwater Res 52(4): 451– 462.
- [71]Logan JM, Jardine TD, Miller TJ, Bunn SE, Cunjak RA, Lutcavage ME (2008) Lipid corrections in carbon and nitrogen stable isotope analyses: comparison of chemical extraction and modelling methods. J Animal Ecol 77(4): 838– 846. 18489570
- [72]Hobday AJ (2010) Ensemble analysis of the future distribution of large pelagic fishes off Australia. Prog Oceanogr 86(1): 291– 301.
- [73]Young JW, Olson RJ, Ménard F, Kuhnert PM, Duffy LM, Allain V, et al (2015) Setting the stage for a global-scale trophic analysis of marine top predators: a multi-workshop review. Rev Fish Biol Fisher 25(1): 261– 272.
- [74]McMahon KW, Hamady LL, Thorrold SR (2013) A review of ecogeochemistry approaches to estimating movements of marine animals. Limnol Oceanogr 58(2): 697714.
- [75]Painting SJ, Van der Molen J, Parker ER, Coughlan C, Birchenough S, Bolam S, et al (2013) Development of indicators of ecosystem functioning in a temperate shelf sea: a combined fieldwork and modelling approach. Biogeochem 113(1–3): 237– 257.
Cited by
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Hixson, S. M., & Arts, M. T. (2016) · Global Change Biology · doi:10.1111/gcb.13295 · Cited by 317 · see citing works
Bioenergetics, Trophic Ecology, and Niche Separation of Tunas
(2016) · Advances in Marine Biology · doi:10.1016/bs.amb.2016.06.002 · Cited by 69 · see citing works
Túnidos tropicales: calentamiento global y seguridad alimentaria, una visión global
Báez, J. C., Pascual Alayón, P., Ramos, M. L., & Abascal, F. J. (2019) · Revista de Biología Marina y Oceanografía · doi:10.4067/s0718-19572018000100001 · Cited by 11 · see citing works
“A esto hay que añadir que el calentamiento global podría reducir significativamente la concentración de ácidos grasos en túnidos, los cuales son beneficiosos para el consumidor (Pethybridge et al. 2015).”
Background
- Authors
- Pethybridge, H. R., Parrish, C. C., Morrongiello, J., Young, J. W., Farley, J. H., Gunasekera, R. M., & Nichols, P. D.
- Affiliations
- CSIRO Oceans and Atmosphere (AU)
- Memorial University of Newfoundland (CA)
- Corresponding author
- Pethybridge, Heidi R.
- ORCID
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2015-07-02
- Volume
- 10
- Issue
- 7
- Pages
- e0131598
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC4489677
- OpenAlex
- W1601223168
- Cited by
- 74
- References
- 0
- Citations by year
- 2026: 1 · 2025: 6 · 2024: 7 · 2023: 7 · 2022: 7 · 2021: 6 · 2020: 7 · 2019: 7 · 2018: 14 · 2017: 6 · 2016: 6
- FWCI
- 7.11
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Minerva Access (University of Melbourne) (submittedVersion, cc-by)
- eCite Digital Repository (University of Tasmania) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Funders
- European Commission
- Commonwealth Scientific and Industrial Research Organisation
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Marine and fisheries research
- Physical Sciences › Environmental Science › Ecology › Isotope Analysis in Ecology
- Life Sciences › Agricultural and Biological Sciences › Aquatic Science › Aquaculture Nutrition and Growth
- Keywords
- fatty acids, omega-3 fatty acids, albacore tuna, fatty acid tracers, essential fatty acids, sea surface temperature, chlorophyll a, phytoplankton biomass, primary producers, spatiotemporal variation, climate change impacts, generalized additive mixed models, fish muscle
- MeSH terms
- Chlorophyll A, Algorithms, Animals, Chlorophyll, Fatty Acids, Models, Biological, Muscles, Oceanography, Pacific Ocean, Phytoplankton, Temperature, Tuna, Fatty Acids, Omega-3, Seafood, Biomass, Food Chain, Climate Change, Spatio-Temporal Analysis
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