A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Integrating pigment and fatty acid profiles for enhanced estimation of seston community composition (2024)


Litmanen, J. J., Perälä, T., Vuorio, K., Asikainen, H., & Taipale Sami, J. (2024). Integrating pigment and fatty acid profiles for enhanced estimation of seston community composition. Ecosphere, 15(8), Article e4971. https://doi.org/10.1002/ecs2.4971


JYU-tekijät tai -toimittajat


Julkaisun tiedot

Julkaisun kaikki tekijät tai toimittajatLitmanen, Jaakko J.; Perälä, Tommi; Vuorio, Kristiina; Asikainen, Harri; Taipale Sami, J.

Lehti tai sarjaEcosphere

ISSN2150-8925

eISSN2150-8925

Julkaisuvuosi2024

Ilmestymispäivä12.08.2024

Volyymi15

Lehden numero8

Artikkelinumeroe4971

KustantajaWiley

JulkaisumaaYhdysvallat (USA)

Julkaisun kielienglanti

DOIhttps://doi.org/10.1002/ecs2.4971

Linkki tutkimusaineistoonhttps://doi.org/10.5061/dryad.t1g1jwt9v

Julkaisun avoin saatavuusAvoimesti saatavilla

Julkaisukanavan avoin saatavuusKokonaan avoin julkaisukanava

Julkaisu on rinnakkaistallennettu (JYX)https://jyx.jyu.fi/handle/123456789/96801


Tiivistelmä

Climate change, nutrition pollution, and land use alterations influence the primary production of lakes. While light-microscopy counting remains the standard for estimating phytoplankton community composition, its expense and time-consuming nature necessitate cost-effective alternatives for seston analysis. Furthermore, estimating the contribution of seston constituents other than primary producers, or non-algal particles, is not possible with light-microscopy counting. Biotracer approach using computational methods and chemotaxonomic biomarkers such as carotenoid pigments and fatty acids have been used as an alternative in seston analysis when species-level taxonomy is not required. However, a comprehensive testing of how well carotenoid and fatty acids can be used in estimating a wide range of seston phytoplankton communities using different estimation methods is lacking. To assess the accuracy of a suite of state-of-the-art biotracer-based computational methods, namely CHEMTAX, FASTAR (Fatty Acid Source-Tracking Algorithm in R), MixSIAR, and QFASA (Quantitative Fatty Acid Signature Analysis), lake water samples were collected in 2016, 2018, 2019, 2020, and 2021 for seston composition analysis in a boreal eutrophic lake with light-microscopy counting serving as the reference for seston composition. Absolute errors between the biotracer-based estimates were calculated to evaluate method performance. A small laboratory experiment to assess the reliability of estimating the contribution of non-algal particles using the computational methods with fatty acids was also conducted. The closest alignment to light-microscopy counting in terms of absolute error was achieved when both carotenoids and fatty acids were used together in the QFASA method. For CHEMTAX, FASTAR, and MixSIAR, using carotenoids alone produced the closest results. Additionally, the estimation methods accurately assessed the proportion of non-algal particles in the seston when using fatty acid profiles, a capability not possible with light-microscopy counting. Our findings demonstrate that the biotracer approach provides a viable and cost-effective alternative to light-microscopy counting when group-level information of phytoplankton community composition suffices. Furthermore, we show that non-algal particles can be effectively estimated together with phytoplankton when using fatty acids.


YSO-asiasanatmakea vesiorgaaninen ainesplanktonmikroleväteliöyhteisötbiomarkkeritrasvahapotpigmentti (biologia)karotenoiditvalomikroskopia

Vapaat asiasanatCHEMTAX; FASTAR; freshwater; mixing model; MixSIAR; phytoplankton; QFASA; terrestrial organic matter


Liittyvät organisaatiot


Hankkeet, joissa julkaisu on tehty


OKM-raportointiKyllä

VIRTA-lähetysvuosi2024

Alustava JUFO-taso1


Viimeisin päivitys 2024-14-10 klo 15:10