Tipus de document

Article

Versió

Versió publicada

Data de publicació

Llicència de publicació

cc-by (c)  Jones, C. et al., 2024
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/229496

Seeing through the gray box: an integrated approach to physiological modeling ofphytoplankton stoichiometry

Títol de la revista

Director/Tutor

ISSN de la revista

Títol del volum

Resum

The‘black boxes’ of ecological stoichiometry, planktonic microbes, have longbeen recognized to have considerable effects on global biogeochemical cycles.Signi cant progress has been made in studying these effects and expanding ourunderstanding of microbial stoichiometry. However, the‘black box’ has not beencompletely cracked open; there remain gaps in our knowledge of the fate ofelements within the phytoplankton cell, and the effect of external processes onnutrient uxes through their metabolism and into macromolecules and biomass -the eponymous‘gray box’. In this review paper, we describe the development of anintegrative modeling approach that involves a stoichiometrically explicit model ofMacromolecular Allocation and Genome-scale Metabolic Analysis (MAGMA) togain insights into the intra- and extracellular fluxes of nutrients using thecyanobacterium Parasynechococcus marenigrum WH8102 as a target modelorganism. We then describe an example of the genome-scale resources for P.marenigrum that can be used to build such an integrated modeling tool to seethrough the gray box of phytoplankton stoichiometry and improve ourunderstanding of the effects of resource supplies and other environmentaldrivers, especially temperature, on C:N:P demand, acquisition, and allocation atthe cellular level.

Citació

Citació

JONES, Catriona L. C., et al. Seeing through the gray box: an integrated approach to physiological modeling ofphytoplankton stoichiometry. Frontiers In Ecology And Evolution. 2024. Vol. 12, num. 150525. ISSN 2296-701X. [consulted: 24 of May of 2026]. Available at: https://hdl.handle.net/2445/229496

Exportar metadades

JSON - METS

Compartir registre