Transcriptome analyses reveal differential gene expression patterns between the life-cycle stages of Emiliania Huxleyi (haptophyta) and reflect specialization to different ecological niches
Publication date
2011
Authors
Rokitta, S.D.
Nooijer, L.J. de
Trimborn, S.
de Vargas, C.
Rost, B.
John, U.
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Document Type
Article
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(c) UU Universiteit Utrecht, 2011
Abstract
Coccolithophores, especially the abundant,
cosmopolitan species Emiliania huxleyi (Lohmann)
W. W. Hay et H. P. Mohler, are one of the main
driving forces of the oceanic carbonate pump and
contribute significantly to global carbon cycling, due
to their ability to calcify. A recent study indicates
that termination of diploid blooms by viral infection
induces life-cycle transition, and speculation has
arisen about the role of the haploid, noncalcifying
stage in coccolithophore ecology. To explore gene
expression patterns in both life-cycle stages, haploid
and diploid cells of E. huxleyi (RCC 1217 and RCC
1216) were acclimated to limiting and saturating
photon flux densities. Transcriptome analyses were
performed to assess differential genomic expression
related to different ploidy levels and acclimation
light intensities. Analyses indicated that life-cycle
stages exhibit different properties of regulating genome
expression (e.g., pronounced gene activation
and gene silencing in the diploid stage), proteome
maintenance (e.g., increased turnover of proteins in
the haploid stage), as well as metabolic processing
(e.g., pronounced primary metabolism and motility
in the haploid stage and calcification in the diploid
stage). Furthermore, higher abundances of transcripts
related to endocytotic and digestive machinery
were observed in the diploid stage. A qualitative
feeding experiment indicated that both life-cycle
stages are capable of particle uptake (0.5 mu-m diameter)
in late-stationary growth phase. Results showed that the two life-cycle stages represent functionally
distinct entities that are evolutionarily shaped to
thrive in the environment they typically inhabit.
Keywords
endocytosis, life-cycle stages, microarray, quantitative RT-PCR, transcriptome profiling