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Profiling the transcriptome of Thalassiosira pseudonana under silicon replete and deplete growth.

ABSTRACT: T. pseudonana tiling arrays were used to validate gene models and to predict new genes in the genome of this diatom. The tiling array data validated transcription of about 41% (4,653) of the 11,390 computationally predicted genes. An additional 1,132 transcripts were identified that did not correspond to modeled genes with few of these transcripts (<17%) predicted to encode proteins with homology (e-value < 10-05) to publicly available proteins. These newly identified transcripts have an average length of 1,549 bp, comparable to the average length of the computationally derived genes. Whole genome tiling arrays were conducted under silicon replete and deplete growth conditions to identify new genes involved in the synthesis of the diatom silica cell wall. Keywords: silicon, stress response, cell wall

ORGANISM(S): Thalassiosira pseudonana CCMP1335

PROVIDER: GSE9661 | GEO | 2008/01/09

SECONDARY ACCESSION(S): PRJNA105087

REPOSITORIES: GEO

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Profiling the transcriptome of Thalassiosira pseudonana under silicon replete and deplete growth.

Project description:T. pseudonana tiling arrays were used to validate gene models and to predict new genes in the genome of this diatom. The tiling array data validated transcription of about 41% (4,653) of the 11,390 computationally predicted genes. An additional 1,132 transcripts were identified that did not correspond to modeled genes with few of these transcripts (<17%) predicted to encode proteins with homology (e-value < 10-05) to publicly available proteins. These newly identified transcripts have an average length of 1,549 bp, comparable to the average length of the computationally derived genes. Whole genome tiling arrays were conducted under silicon replete and deplete growth conditions to identify new genes involved in the synthesis of the diatom silica cell wall. We analyzed 2 sets of arrays (8 arrays each): one from growth under silicon replete and another one from growth under silicon deplete conditions.

2010-05-26 | E-GEOD-9661 | biostudies-arrayexpress

Synchronous cell cycle progression in the diatom Thalassiosira pseudonana

Project description:To identify the molecular components involved in diatom cell division, global transcript level changes were monitored over the silicon-synchronized cell cycle the model diatom Thalassiosira pseudonana.

2022-05-19 | GSE203136 | GEO

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

Project description:Nutrient-starvation induced lipid accumulation has been reported in diverse algae, including diatoms. Molecular mechanisms underlying lipid accumulation in nutrient-starved algae are of interest to inform genetic engineering strategies aimed at improving lipid productivity. Diatom cell walls are made of nanostructured silica which is a unique feature of the group and silicon deprivation induces both growth arrest and lipid accumulation. In this work, we report the whole cell transcript level response during silicon starvation induced lipid accumulation. Analyzed mRNA from cells after 0, 4, 8, 12, 18, and 24 hr of silicon starvation using the Affymetrix GeneChip whole genome tiling array. Initial analysis of gene level expression was performed using the Affymetrix Expression Console Software, version 1.1. No biological replicates were performed. 0 hr is used as a reference point.

2015-12-31 | E-GEOD-75651 | biostudies-arrayexpress

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

2015-12-31 | GSE75651 | GEO

Integrating transcriptomics and proteomics data for accurate assembly and annotation of genomes

Project description:Deep proteomic analysis of larvae, pupae and 15 adult tissues using high resolution Fourier transform mass spectrometry provided peptide evidence for ~9,000 computationally predicted genes accounting for 82% of total protein-coding genes in An. stephensi. Transcriptomic profiling of 4 tissues provided transcript evidence for 7,504 computationally predicted gene models and resulted in identification of 3,797 novel transcripts. We also identified protein level evidence for several novel alternative transcripts, SNPs and tissue restricted expression patterns of several proteins in An. stephensi

2016-09-26 | PXD001128 | Pride

Whole Transcriptome Analysis of the Silicon Response of the Diatom Thalassiosira pseudonana

Project description:Diatom cell walls, made of nanostructured silica, are of interest in diverse areas ranging from cellular structure, to hierarchical organization in biomineralization, to nanotechnology. Thus far, only cell surface proteins and proteins tightly associated with silica matrix have been characterized, and essential components of the silica deposition vesicle (SDV) are unknown, including components of the SDV membrane, cytoskeletal-interacting proteins, and proteins involved in trafficking associated with the SDV. Thus, an understanding of most of the molecular components and the dynamics of cellular processes involved in cell wall synthesis is lacking. In this work we report the first whole-cell response analysis using whole genome microarrays to identify genes potentially involved in diverse aspects of diatom cell division or cell wall synthesis. Thalassiosira pseudonana transcript profiles from precise time points, known to be associated with specific cell wall formation processes in cell-cycle synchronized cultures, suggests that this gene set includes extracellular proteins, silica matrix proteins, and proteins involved in signal transduction, vesicle trafficking, and transport. Protein localization experiments further confirm the first discovery of proteins associated with the SDV membrane. We propose that these proteins provide the interface between extra-SDV organization by the cytoskeleton and intra-SDV organization of silica polymerization determinants, which lead to the higher order organization of diatom silica structure. Analyzed mRNA from 0, 2, 4, 7, 8 and 9 hr of synchronized cell cycle using the Affymetrix GeneChip whole genome tiling array. Initial analysis of gene level expression was performed using Affymetrix Expression Console Software, version 1.1. No biological replicates were performed. 0 hr is used as reference point.

2012-10-01 | E-GEOD-37081 | biostudies-arrayexpress

Hallmarks of the dynamic responses to silica in Thalassiosira pseudonana - Identification, characterization and classification of signature genes and their corresponding motifs

Project description:The diatom cell wall, or frustule, is a highly complex, three-dimensional structure consisting of nanopatterned silica as well as proteins and other organic components. While some key components have been identified, knowledge on frustule biosynthesis is still fragmented. The model diatom Thalassiosira pseudonana was subjected to silicon (Si) shift-up and shift-down situations. Cellular and molecular signatures, dynamic changes and co-regulated clusters representing the hallmarks of cellular and molecular responses to changing Si availabilities were characterised. 62 silaffin-like proteins (SFLPs), two kinases and a novel family of putatively frustule-associated transmembrane proteins induced by Si shift-up and a possible role in frustule biosynthesis were identified. A separate cluster analysis performed on all significantly regulated SFLPs, as well as fourteen new proteins with silaffin-like motifs, resulted in the classification of silaffins, cingulins and SFLPs into distinct clusters. The genes in the Si-responsive clusters are in general highly divergent, but positive selection does not seem to be the driver behind this variability. This study provides a high-resolution map over transcriptional responses to changes in Si availability in T. pseudonana. Hallmark Si-responsive genes are identified, characteristic motifs and domains are classified, and taxonomic and evolutionary implications outlined and discussed.

2017-05-31 | GSE94329 | GEO

Profiling the transcriptome of Thalassiosira pseudonana under environmentally relevant growth conditions

Project description:T. pseudonana gene-specific arrays were used for differential gene expression. Seven hundred nine genes were differentially expressed by more than 2-fold (Bayesian t-test, p< 0.001) under at least one growth-limiting condition relative to nutrient-replete conditions. A striking result of the hierarchical cluster analysis was the identification of a common set of genes that were upregulated by both iron and silicon limitation, but no other treatment. Together, these two treatments accounted for about one fourth of all differentially expressed genes but almost two thirds of the differentially expressed novel genes, further emphasizing the distinctive aspects of silicon manipulation in diatoms. Keywords: silicon, stress response, cell wall, iron, temperature, carbon dioxide

2008-01-09 | GSE9660 | GEO

Identification and Characterization of MicroRNAs from Phaeodactylum tricornutum by High-throughput Sequencing and Bioinformatics Analysis

Project description:Diatoms, which are important planktons widespread in various aquatic environments, are believed to play a vital role in primary production as well as silica cycling. The genomes of the pennate diatom Phaeodactylum tricornutum and the centric diatom Thalassiosira pseudonana have been sequenced, revealing some characteristics of the diatomsâ mosaic genome as well as some features of their fatty acid metabolism and urea cycle, and indicating their unusual properties. To identify microRNAs (miRNAs) from P. tricornutum and to study their probable roles in nitrogen and silicon metabolism, we constructed and sequenced small RNA (sRNA) libraries from P. tricornutum under normal (PT1), nitrogen-limited (PT2) and silicon-limited (PT3) conditions. A total of 13 miRNAs were identified. They were probable P. tricornutum-specific novel miRNAs. These miRNAs were differentially expressed in PT1, PT2 and PT3, and their potential targets were involved in various processes. Our results indicated that P. tricornutum contained novel miRNAs that differed from miRNAs of other organisms and that they might play important regulator roles in P. tricornutum metabolism. Constructing and sequencing small RNA (sRNA) libraries from P. tricornutum under normal (PT1), nitrogen-limited (PT2) and silicon-limited (PT3) conditions

2011-08-08 | E-GEOD-29321 | biostudies-arrayexpress

Identification and Characterization of MicroRNAs from Phaeodactylum tricornutum by High-throughput Sequencing and Bioinformatics Analysis

2011-08-08 | GSE29321 | GEO

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