Transcript level coordination of carbon pathways during silicon starvation-induced lipid accumulation in the diatom Thalassiosira pseudonana

Smith, Sarah R.; Gle, Corine; Abbriano, Raffaela M.; Traller, Jesse C.; Davis, Aubrey; Trentacoste, Emily; Vernet, Maria; Allen, Andrew E.; Hildebrand, Mark

doi:10.1111/nph.13843

Title: Transcript level coordination of carbon pathways during silicon starvation-induced lipid accumulation in the diatom Thalassiosira pseudonana

Journal Article · Thu Feb 04 00:00:00 EST 2016 · New Phytologist

DOI:https://doi.org/10.1111/nph.13843· OSTI ID:1437597

Smith, Sarah R. ^[1]; Gle, Corine ^[2]; Abbriano, Raffaela M. ^[2]; Traller, Jesse C. ^[2]; Davis, Aubrey ^[2]; Trentacoste, Emily ^[2]; Vernet, Maria ^[2]; Allen, Andrew E. ^[1]; Hildebrand, Mark ^[2]

Univ. of California, San Diego, CA (United States). Scripps Institution of Oceanography; J. Craig Venter Inst. (JCVI), La Jolla, CA (United States)
Univ. of California, San Diego, CA (United States). Scripps Institution of Oceanography

Diatoms are one of the most productive and successful photosynthetic taxa on Earth and possess attributes such as rapid growth rates and production of lipids, making them candidate sources of renewable fuels. Despite their significance, few details of the mechanisms used to regulate growth and carbon metabolism are currently known, hindering metabolic engineering approaches to enhance productivity. To characterize the transcript level component of metabolic regulation, genome-wide changes in transcript abundance were documented in the model diatom Thalassiosira pseudonana on a time-course of silicon starvation. Growth, cell cycle progression, chloroplast replication, fatty acid composition, pigmentation, and photosynthetic parameters were characterized alongside lipid accumulation. Extensive coordination of large suites of genes was observed, highlighting the existence of clusters of coregulated genes as a key feature of global gene regulation in T. pseudonana. The identity of key enzymes for carbon metabolic pathway inputs (photosynthesis) and outputs (growth and storage) reveals these clusters are organized to synchronize these processes. Coordinated transcript level responses to silicon starvation are probably driven by signals linked to cell cycle progression and shifts in photophysiology. A mechanistic understanding of how this is accomplished will aid efforts to engineer metabolism for development of algal-derived biofuels.

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Research Organization:: Univ. of California, San Diego, CA (United States); J. Craig Venter Inst. (JCVI), La Jolla, CA (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Sustainable Transportation Office. Bioenergy Technologies Office (BETO); USDOE Office of Science (SC), Biological and Environmental Research (BER); US Air Force Office of Scientific Research (AFOSR); National Science Foundation (NSF); California Energy Commission (United States); Gordon and Betty Moore Foundation (United States)

Grant/Contract Number:: EE0001222; EE0003373; SC0006719; SC0008593; FA9550-08-1-0178; CBET-0903712; MCB-1024913; OCE-0727997; OCE-1140042; 500-10-039; GBMF3828

OSTI ID:: 1437597

Journal Information:: New Phytologist, Vol. 210, Issue 3; ISSN 0028-646X

Publisher:: WileyCopyright Statement

Country of Publication:: United States

Language:: English

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