Histone acetylation is one of the most pivotal epigenetic mechanisms in eukaryotes and has been tightly linked to the regulation of various genes controlling growth, development and response to environmental stresses in both animals and plants. Till date, the association of histone acetylation to dehydration stress in red algae and genes encoding the enzymes responsible for histone acetylation: histone acetyltransferases (HATs) or histone deacetylases (HDACs), remains largely unknown. In this study, in silico analysis of the red seaweed Pyropia yezoensis identified 6 HAT genes and 10 HDAC genes. These genes displayed good synteny in genome loci with their Pyropia haitanensis orthologs except for a putative gene duplication event in HDAC and a loss of one HAT gene in P. yezoensis. According to the conserved domains and phylogenetic analysis, they encoded three GCNA5-, one TAFII250- and one MYST-HAT, as well as five HDA1-and five SIRT-HDACs. The sirtuin-domain of Py06502 harbored a ~100 aa insert and interestingly, this insertion was specifically observed in Bangiales species. Two nuclear-localized HATs were transcriptionally up-regulated at the early stage of dehydration and so were two nuclear HDA1s when moderate dehydration started, suggesting their potential roles in modulating downstream gene expression to facilitate dehydration adaptation by changing histone acetylation patterns on relevant regulatory elements. This was experimentally confirmed by the increased decline in photosynthesis efficiency during dehydration when HAT and HDAC activities were inhibited by SAHA and MB-3, respectively. Transcriptional patterns of multiple dehydration-responsive genes after water loss were strongly affected by MB-3 or SAHA treatment. This study provides the first insight into the regulation and function of HAT/HDAC during stress adaptation in red algae.
Contamination from cytosolic DNA (plastid and mitochondrion) and epiphytic bacteria is challenging the efficiency and accuracy of genome-wide analysis of nori-producing marine seaweed Pyropia yezoensis. Unlike bacteria and organellar DNA, Pyropia nuclear DNA is closely associated with histone proteins. In this study, we applied Chromatin Immunoprecipitation (ChIP) of histone H3 to isolate nuclear DNA, followed by high-throughput sequencing. More than 99.41% of ChIP-sequencing data were successfully aligned to the reference nuclear genome; this was remarkably higher than those from direct extraction and direct extraction data, in which 40.96% to 42.95% are from plastids. The proportion of data that were mapped to the bacterial database when using ChIP extraction was very low. Additionally, ChIP data can cover up to 89.00% of the nuclear genome, higher than direct extraction data at equal data size and comparable to the latter at equal sequencing depth. The uncovered regions from the three methods are mostly overlapping, suggesting that incomplete sequencing accounts for the missing data, rather than failed chromatin-antibody binding in the ChIP extraction method. This ChIP extraction method can successfully separate nuclear DNA from cytosolic DNA and bacterial DNA, thus overwhelmingly reducing the sequencing cost in a genome resequencing project and providing strictly purified reference data for genome assembly. The method’s applicability to other macroalgae makes it a valuable contribution to the algal research community.
Contamination from epiphytic bacteria and cytosolic DNA (plastid and mitochondrion) is challenging the accuracy of genome-wide analysis of nori-producing marine seaweed Pyropia yezoensis. Unlike bacteria and organellar DNA, Pyropia nuclear DNA is tightly associated with histone proteins. In this study, we applied Chromatin Immuno-precipitation (ChIP) of histone H3 to isolate nuclear DNA followed by high-throughput sequencing. More than 99.5% of ChIP-sequencing data are successfully aligned to the reference nuclear genome, remarkably higher than the ones from direct-extraction and nuclei-extraction data in which 40%-50% are from plastid. The proportion of data that mapped to the bacterial database when using ChIP extraction was very low. Additionally, ChIP-data can cover up to 89% of the nuclear genome, higher than direct-extraction data at equal data size and comparable to the latter at equal sequencing depth. The uncovered regions from the three methods are mostly overlapping, suggesting that incomplete sequencing accounts for the missing data, rather than failed chromatin-antibody binding in ChIP-extraction method. This ChIP-extraction method can successfully separate nuclear DNA from cytosolic DNA and bacterial DNA, thus overwhelmingly reducing the sequencing cost in genome resequencing project and provides a strictly purified reference data for genome assembly. The applicability to other macroalgae would makes it a valuable contribution to the algal research community.
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