Brown algae (Phaeophyceae) are complex photosynthetic organisms with a very different evolutionary history to green plants, to which they are only distantly related(1). These seaweeds are the dominant species in rocky coastal ecosystems and they exhibit many interesting adaptations to these, often harsh, environments. Brown algae are also one of only a small number of eukaryotic lineages that have evolved complex multicellularity (Fig. 1). We report the 214 million base pair (Mbp) genome sequence of the filamentous seaweed Ectocarpus siliculosus (Dillwyn) Lyngbye, a model organism for brown algae(2-5), closely related to the kelps(6,7) (Fig. 1). Genome features such as the presence of an extended set of light-harvesting and pigment biosynthesis genes and new metabolic processes such as halide metabolism help explain the ability of this organism to cope with the highly variable tidal environment. The evolution of multicellularity in this lineage is correlated with the presence of a rich array of signal transduction genes. Of particular interest is the presence of a family of receptor kinases, as the independent evolution of related molecules has been linked with the emergence of multicellularity in both the animal and green plant lineages. The Ectocarpus genome sequence represents an important step towards developing this organism as a model species, providing the possibility to combine genomic and genetic(2) approaches to explore these and other(4,5) aspects of brown algal biology further
Marine primary productivity is iron (Fe)-limited in vast regions of the contemporary oceans, most notably the high nutrient low chlorophyll (HNLC) regions. Diatoms often form large blooms upon the relief of Fe limitation in HNLC regions despite their prebloom low cell density. Although Fe plays an important role in controlling diatom distribution, the mechanisms of Fe uptake and adaptation to low iron availability are largely unknown. Through a combination of nontargeted transcriptomic and metabolomic approaches, we have explored the biochemical strategies preferred by Phaeodactylum tricornutum at growth-limiting levels of dissolved Fe. Processes carried out by components rich in Fe, such as photosynthesis, mitochondrial electron transport, and nitrate assimilation, were down-regulated. Our results show that this retrenchment is compensated by nitrogen (N) and carbon (C) reallocation from protein and carbohydrate degradation, adaptations to chlorophyll biosynthesis and pigment metabolism, removal of excess electrons by mitochondrial alternative oxidase (AOX) and non-photochemical quenching (NPQ), and augmented Fe-independent oxidative stress responses. Iron limitation leads to the elevated expression of at least three gene clusters absent from the Thalassiosira pseudonana genome that encode for components of iron capture and uptake mechanisms.genome ͉ metabalomics ͉ photosynthesis ͉ transcriptomics ͉ nutrients
SummaryRNase E is an essential Escherichia coli endonuclease, which controls both 5S rRNA maturation and bulk mRNA decay. While the C-terminal half of this 1061-residue protein associates with polynucleotide phosphorylase (PNPase) and several other enzymes into à degradosome', only the N-terminal half, which carries the catalytic activity, is required for growth. We characterize here a mutation (rne131 ) that yields a metabolically stable polypeptide lacking the last 477 residues of RNAse E. This mutation resembles the N-terminal conditional mutation rne1 in stabilizing mRNAs, both in bulk and individually, but differs from it in leaving rRNA processing and cell growth unaffected. Another mutation (rne105 ) removing the last 469 residues behaves similarly. Thus, the C-terminal half of RNase E is instrumental in degrading mRNAs, but dispensable for processing rRNA. A plausible interpretation is that the former activity requires that RNase E associates with other degradosome proteins; however, PNPase is not essential, as RNase E remains fully active towards mRNAs in rne pnp mutants. All mRNAs are not stabilized equally by the rne131 mutation: the greater their susceptibility to RNase E, the larger the stabilization. Arti®cial mRNAs generated by E. coli expression systems based on T7 RNA polymerase can be genuinely unstable, and we show that the mutation can improve the yield of such systems without compromising cell growth.
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