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Proximity proteomics in a marine diatom reveals a putative cell surface-to-chloroplast iron trafficking pathway. | LitMetric

AI Article Synopsis

  • Iron is essential for various biological processes, and marine microeukaryotes, such as diatoms, have developed a unique system called phytotransferrin to absorb this vital metal in iron-poor environments.
  • Researchers used a technique called APEX2-based proteomics to study proteins associated with phytotransferrin in diatoms, uncovering several iron-sensitive proteins linked to this iron uptake system.
  • These findings highlight the potential of proximity proteomics to enhance our understanding of iron acquisition and its broader implications for marine ecosystems and biotechnological applications.

Article Abstract

Iron is a biochemically critical metal cofactor in enzymes involved in photosynthesis, cellular respiration, nitrate assimilation, nitrogen fixation, and reactive oxygen species defense. Marine microeukaryotes have evolved a phytotransferrin-based iron uptake system to cope with iron scarcity, a major factor limiting primary productivity in the global ocean. Diatom phytotransferrin is endocytosed; however, proteins downstream of this environmentally ubiquitous iron receptor are unknown. We applied engineered ascorbate peroxidase APEX2-based subcellular proteomics to catalog proximal proteins of phytotransferrin in the model marine diatom . Proteins encoded by poorly characterized iron-sensitive genes were identified including three that are expressed from a chromosomal gene cluster. Two of them showed unambiguous colocalization with phytotransferrin adjacent to the chloroplast. Further phylogenetic, domain, and biochemical analyses suggest their involvement in intracellular iron processing. Proximity proteomics holds enormous potential to glean new insights into iron acquisition pathways and beyond in these evolutionarily, ecologically, and biotechnologically important microalgae.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7972479PMC
http://dx.doi.org/10.7554/eLife.52770DOI Listing

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