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Plastic responses lead to increased neurotoxin production in the diatom Pseudo-nitzschia under ocean warming and acidification.

Dong XuGuanchao ZhengGeorgina BrennanZhuonan WangTao JiangKe SunXiao FanChris BowlerXiaowen ZhangYan ZhangWei WangYitao WangYan LiHaiyan WuYouxun LiFei-Xue FuDavid A HutchinsZhijun TanNaihao Ye
Published in: The ISME journal (2023)
Ocean warming (OW) and acidification (OA) are recognized as two major climatic conditions influencing phytoplankton growth and nutritional or toxin content. However, there is limited knowledge on the responses of harmful algal bloom species that produce toxins. Here, the study provides quantitative and mechanistic understanding of the acclimation and adaptation responses of the domoic acid (DA) producing diatom Pseudo-nitzschia multiseries to rising temperature and pCO 2 using both a one-year in situ bulk culture experiment, and an 800-day laboratory acclimation experiment. Ocean warming showed larger selective effects on growth and DA metabolism than ocean acidification. In a bulk culture experiment, increasing temperature +4 °C above ambient seawater temperature significantly increased DA concentration by up to 11-fold. In laboratory when the long-term warming acclimated samples were assayed under low temperatures, changes in growth rates and DA concentrations indicated that P. multiseries did not adapt to elevated temperature, but could instead rapidly and reversibly acclimate to temperature shifts. However, the warming-acclimated lines showed evidence of adaptation to elevated temperatures in the transcriptome data. Here the core gene expression was not reversed when warming-acclimated lines were moved back to the low temperature environment, which suggested that P. multiseries cells might adapt to rising temperature over longer timescales. The distinct strategies of phenotypic plasticity to rising temperature and pCO 2 demonstrate a strong acclimation capacity for this bloom-forming toxic diatom in the future ocean.
Keyphrases
  • gene expression
  • escherichia coli
  • air pollution
  • particulate matter
  • electronic health record
  • cell proliferation
  • single cell
  • deep learning
  • cell cycle arrest
  • big data
  • knee osteoarthritis
  • artificial intelligence