DNA sequencing of selected Globobulimina pseudospinescens organisms
Ontology highlight
ABSTRACT: We introduce FACIL (http://www.cmbi.ru.nl/FACIL), a fast, reliable tool to evaluate nucleic acid sequences for non-standard codes that detects alternative genetic codes even in species distantly related to known organisms. Results are visualized in a Genetic Code Logo. To illustrate the use of our method, we analysed several contigs derived from the mitochondrial genome of the foraminifer Globobulimina pseudospinescens. These are particularly challenging data, as the genome is highly fragmented and incomplete. Approximately 10,000 single-cell Globobulimina pseudospinescens organisms were isolated by hand from Gullmar Fjord Sweden sediment. After washing, total DNA was extracted and sequenced by Illumina sequencing. The reads were assembled using Edena. To illustrate the use of our method, we analysed several contigs derived from the mitochondrial genome of the foraminifer Globobulimina pseudospinescens, an organism without any sequenced relatives in the databases. These are particularly challenging data, as the genome is highly fragmented and incomplete.
Project description:We introduce FACIL (http://www.cmbi.ru.nl/FACIL), a fast, reliable tool to evaluate nucleic acid sequences for non-standard codes that detects alternative genetic codes even in species distantly related to known organisms. Results are visualized in a Genetic Code Logo. To illustrate the use of our method, we analysed several contigs derived from the mitochondrial genome of the foraminifer Globobulimina pseudospinescens. These are particularly challenging data, as the genome is highly fragmented and incomplete. Approximately 10,000 single-cell Globobulimina pseudospinescens organisms were isolated by hand from Gullmar Fjord Sweden sediment. After washing, total DNA was extracted and sequenced by Illumina sequencing. The reads were assembled using Edena. To illustrate the use of our method, we analysed several contigs derived from the mitochondrial genome of the foraminifer Globobulimina pseudospinescens, an organism without any sequenced relatives in the databases. These are particularly challenging data, as the genome is highly fragmented and incomplete. DNA isolated from approximately 10,000 single-cell Globobulimina pseudospinescens organisms
Project description:Genomes and transcriptomes of non-model organisms can be analyzed using next-generation sequencing technologies, but de-novo sequencing and annotating a full eukaryotic genome is still challenging. So, -omics experimentation with non-model organisms requires a suite of technologies to obtain reliable results in a cost-effective manner. Here, a novel method for microarray-based genome analysis is presented which is especially suitable for non-model organisms. We show that it is useful for complementing regular aCGH analyses and for evaluating transcriptome next-generation sequencing reads. The principle of the method is straightforward: feature intensities obtained after hybridizing the test genome are compared with the feature intensities of a control hybridization. The control hybridization is performed with negative control probes (no targets in the control sample), and with positive control probes (with targets in the control sample). The method has in principle a resolution of a single probe and it does not depend on the structural information of a reference genome: the genomic ordering of probe targets is irrelevant. In a test, analyzing the genome content of a sequenced bacterial strain: Staphylococcus aureus MRSA252, this approach proved to be successful demonstrated by receiver operating characteristic area under the curve values larger than 0.9995. DNA from eleven Staphylococcus aureus strains was extracted in three replicates, fragmented, and hybridized onto the S. aureus multistrain microarray. DNA from MRSA252 was used as common reference, but this channel was omitted in further analyses.
Project description:Genomes and transcriptomes of non-model organisms can be analyzed using next-generation sequencing technologies, but de-novo sequencing and annotating a full eukaryotic genome is still challenging. So, -omics experimentation with non-model organisms requires a suite of technologies to obtain reliable results in a cost-effective manner. Here, a novel method for microarray-based genome analysis is presented which is especially suitable for non-model organisms. We show that it is useful for complementing regular aCGH analyses and for evaluating transcriptome next-generation sequencing reads. The principle of the method is straightforward: feature intensities obtained after hybridizing the test genome are compared with the feature intensities of a control hybridization. The control hybridization is performed with negative control probes (no targets in the control sample), and with positive control probes (with targets in the control sample). The method has in principle a resolution of a single probe and it does not depend on the structural information of a reference genome: the genomic ordering of probe targets is irrelevant. In a test, analyzing the genome content of a sequenced bacterial strain: Staphylococcus aureus MRSA252, this approach proved to be successful demonstrated by receiver operating characteristic area under the curve values larger than 0.9995. DNA from twelve Danio rerio individuals was extracted, fragmented, and hybridized onto the D. rerio microarray. DNA from the pool was used as common reference, but this channel was omitted in further analyses.
Project description:Genome-wide positions of Z-DNA are mapped. ChIP was performed against transiently expressing Flag-Za or Flag-Zaa using Flag antibody in HeLa cells. Za and Zaa ChIP DNA and fragmented genomic DNA were used for sequencing library construction. Each library was sequenced on Illumina GAIIx and HiSeq 2500 and sequenced reads were mapped and normalized.
Project description:Shotgun protein sequencing with meta-contig assembly.
Full-length de novo sequencing from tandem mass (MS/MS) spectra of unknown proteins such as antibodies or proteins from organisms with unsequenced genomes remains a challenging open problem. Conventional algorithms designed to individually sequence each MS/MS spectrum are limited by incomplete peptide fragmentation or low signal to noise ratios and tend to result in short de novo sequences at low sequencing accuracy. Our shotgun protein sequencing (SPS) approach was developed to ameliorate these limitations by first finding groups of unidentified spectra from the same peptides (contigs) and then deriving a consensus de novo sequence for each assembled set of spectra (contig sequences). But whereas SPS enables much more accurate reconstruction of de novo sequences longer than can be recovered from individual MS/MS spectra, it still requires error-tolerant matching to homologous proteins to group smaller contig sequences into full-length protein sequences, thus limiting its effectiveness on sequences from poorly annotated proteins. Using low and high resolution CID and high resolution HCD MS/MS spectra, we address this limitation with a Meta-SPS algorithm designed to overlap and further assemble SPS contigs into Meta-SPS de novo contig sequences extending as long as 100 amino acids at over 97% accuracy without requiring any knowledge of homologous protein sequences. We demonstrate Meta-SPS using distinct MS/MS data sets obtained with separate enzymatic digestions and discuss how the remaining de novo sequencing limitations relate to MS/MS acquisition settings.
Project description:Genome-wide DNA sequence resources are expected to enhance our understanding of the molecular basis of plant development and lead to improvements in desirable traits in horticultural crops. In this study, we sequenced 643,366 ESTs from Eustoma grandiflorum flowers using a normalised cDNA library constructed for several different flower development stages, times of day, and pollinated stamens. The sequences were assembled into 63,401 contigs and 242,212 singletons. BlastX searches for all of the contigs in the GenBank database matched 65% of the contigs to registered sequences, while 35% presented no hits. GO mapping assigned 48% of the 63,401 contigs to GO terms. Microarray analysis showed that subsets of genes were up- or downregulated as the flower developed. The downregulated genes were enriched for GO terms related to 1) oligopeptide transport, 2) response to jasmonic acid stimulus, and 3) cell wall modification, whereas the upregulated genes were enriched for GO terms involved in 1) secondary metabolism, such as the flavonoid biosynthetic process and the terpenoid biosynthetic process, and 2) epidermal cell modification.
Project description:The incomplete genome annotation of non-model organisms hampers molecular and proteomic studies. Proteomics informed by transcriptomics (PIT) is suited to non-model organisms because peptides are identified using transcriptomic, not genomic, data. Aedes aegypti is the mosquito vector for the (re-)emerging dengue, chikungunya, yellow fever and Zika viruses. An Ae. aegypti genome sequence is available, however experimental evidence for >90% of the Ae. aegypti proteome or the activity of transposable elements (TEs) that constitute 50% of the Ae. aegypti genome is lacking. We used PIT to characterise the proteome of the Aedes aegypti derived cell line Aag2. Hotspots of incomplete genome annotation were identified which are not explained by poor sequence and assembly quality. We developed criteria for the characterisation of proteomically active TEs and demonstrate that protein expression does not correlate with a TE’s genomic abundance. Finally, we identify Phasi Charoen-like virus as an unrecognised contaminant of Aag2 cells. We therefore present the first proteomic characterisation of mobile genetic elements, and provide proof-of-principle that PIT can evaluate a genome’s annotation to guide annotation efforts.
Project description:L. helveticus is used to modulate cheese flavor and as a starter organism in certain cheese varieties. Our group has compiled a draft (4x) sequence for the 2.4 Mb genome of an industrial strain L. helveticus CNRZ32. The primary aim was to investigate expression of 168 completely sequenced genes during growth in milk and MRS medium using microarrays. Oligonucleotide probes against each of the completely sequenced genes were compiled on maskless photolithography-based DNA microarrays. Additionally, the entire draft genome sequence was used to produce tiled microarrays where the non-interrupted sequence contigs were covered by consecutive 24-mer probes. Keywords: growth conditions response
Project description:Genomes and transcriptomes of non-model organisms can be analyzed using next-generation sequencing technologies, but de-novo sequencing and annotating a full eukaryotic genome is still challenging. So, -omics experimentation with non-model organisms requires a suite of technologies to obtain reliable results in a cost-effective manner. Here, a novel method for microarray-based genome analysis is presented which is especially suitable for non-model organisms. We show that it is useful for complementing regular aCGH analyses and for evaluating transcriptome next-generation sequencing reads. The principle of the method is straightforward: feature intensities obtained after hybridizing the test genome are compared with the feature intensities of a control hybridization. The control hybridization is performed with negative control probes (no targets in the control sample), and with positive control probes (with targets in the control sample). The method has in principle a resolution of a single probe and it does not depend on the structural information of a reference genome: the genomic ordering of probe targets is irrelevant. In a test, analyzing the genome content of a sequenced bacterial strain: Staphylococcus aureus MRSA252, this approach proved to be successful demonstrated by receiver operating characteristic area under the curve values larger than 0.9995.
Project description:Genomes and transcriptomes of non-model organisms can be analyzed using next-generation sequencing technologies, but de-novo sequencing and annotating a full eukaryotic genome is still challenging. So, -omics experimentation with non-model organisms requires a suite of technologies to obtain reliable results in a cost-effective manner. Here, a novel method for microarray-based genome analysis is presented which is especially suitable for non-model organisms. We show that it is useful for complementing regular aCGH analyses and for evaluating transcriptome next-generation sequencing reads. The principle of the method is straightforward: feature intensities obtained after hybridizing the test genome are compared with the feature intensities of a control hybridization. The control hybridization is performed with negative control probes (no targets in the control sample), and with positive control probes (with targets in the control sample). The method has in principle a resolution of a single probe and it does not depend on the structural information of a reference genome: the genomic ordering of probe targets is irrelevant. In a test, analyzing the genome content of a sequenced bacterial strain: Staphylococcus aureus MRSA252, this approach proved to be successful demonstrated by receiver operating characteristic area under the curve values larger than 0.9995.