Project description:Ustilago maydis is an important plant pathogen causing corn-smut disease and an effective biotechnological production host. The lack of a comprehensive metabolic overview hinders a full understanding of the organism’s environmental adaptation and a full use of its metabolic potential. Here, we report the first genome scale metabolic model (GSMM) of Ustilago maydis (iUma22) for the simulation of metabolic activities. iUma22 was reconstructed from sequencing and annotation using PathwayTools, the biomass equation was derived from literature values and from the codon composition. The final model contains over 25% of annotated genes (6,909) in the sequenced genome. Substrate utilization was corrected by Biolog-Phenotype arrays and exponential batch cultivations were used to test growth predictions. The growth data revealed a metabolic phenotype shift at high glucose uptake rates and the model allowed its quantification. A pan-genome of four different U. maydis strains revealed missing metabolic pathways in iUma22. The new model allows studies of metabolic adaptations to different environmental niches as well as for biotechnological applications.
Project description:<p>The study of antimicrobial resistance (AMR) in infectious diarrhea has generally been limited to cultivation, antimicrobial susceptibility testing and targeted PCR assays. When individual strains of significance are identified, whole genome shotgun (WGS) sequencing of important clones and clades is performed. Genes that encode resistance to antibiotics have been detected in environmental, insect, human and animal metagenomes and are known as "resistomes". While metagenomic datasets have been mined to characterize the healthy human gut resistome in the Human Microbiome Project and MetaHIT and in a Yanomani Amerindian cohort, directed metagenomic sequencing has not been used to examine the epidemiology of AMR. Especially in developing countries where sanitation is poor, diarrhea and enteric pathogens likely serve to disseminate antibiotic resistance elements of clinical significance. Unregulated use of antibiotics further exacerbates the problem by selection for acquisition of resistance. This is exemplified by recent reports of multiple antibiotic resistance in Shigella strains in India, in Escherichia coli in India and Pakistan, and in nontyphoidal Salmonella (NTS) in South-East Asia. We propose to use deep metagenomic sequencing and genome level assembly to study the epidemiology of AMR in stools of children suffering from diarrhea. Here the epidemiology component will be surveillance and analysis of the microbial composition (to the bacterial species/strain level where possible) and its constituent antimicrobial resistance genetic elements (such as plasmids, integrons, transposons and other mobile genetic elements, or MGEs) in samples from a cohort where diarrhea is prevalent and antibiotic exposure is endemic. The goal will be to assess whether consortia of specific mobile antimicrobial resistance elements associate with species/strains and whether their presence is enhanced or amplified in diarrheal microbiomes and in the presence of antibiotic exposure. This work could potentially identify clonal complexes of organisms and MGEs with enhanced resistance and the potential to transfer this resistance to other enteric pathogens.</p> <p>We have performed WGS, metagenomic assembly and gene/protein mapping to examine and characterize the types of AMR genes and transfer elements (transposons, integrons, bacteriophage, plasmids) and their distribution in bacterial species and strains assembled from DNA isolated from diarrheal and non-diarrheal stools. The samples were acquired from a cohort of pediatric patients and controls from Colombia, South America where antibiotic use is prevalent. As a control, the distribution and abundance of AMR genes can be compared to published studies where resistome gene lists from healthy cohort sequences were compiled. Our approach is more epidemiologic in nature, as we plan to identify and catalogue antimicrobial elements on MGEs capable of spread through a local population and further we will, where possible, link mobile antimicrobial resistance elements with specific strains within the population.</p>
Project description:Detailed analyses of the clone-based genome assembly reveal that the recent duplication content of mouse (4.94%) is now comparable to that of human (5.5%), in contrast to previous estimates from the whole-genome shotgun sequence assembly. The architecture of mouse and human genomes differ dramatically; most mouse duplications are organized into discrete clusters of tandem duplications that are depleted for genes/transcripts and enriched for LINE1 and LTR retroposons. We assessed copy-number variation of the C57BL/6J duplicated regions within 15 mouse strains used for genetic association studies, sequencing, and the mouse phenome project. We determined that over 60% of these basepairs are polymorphic between the strains (on average 20 Mbp of copy-number variable DNA between different mouse strains). Our data suggest that different mouse strains show comparable, if not greater, copy-number polymorphism when compared to human; however, such variation is more locally restricted. We show large and complex patterns of inter-strain copy-number variation restricted to large gene families associated with spermatogenesis, pregnancy, viviparity, phermone signaling, and immune response. Keywords: comparative genomic hybridization
Project description:Comparative genomic hybridization between Escherichia coli strains to determine core and pan genome content of clinical and environmental isolates
Project description:<p><em>Tripterygium wilfordii</em> is a vine used in Traditional Chinese Medicine (TCM) from the family Celastraceae. The active ingredient celastrol is a friedelane-type pentacyclic triterpenoid, with a putative role as an anti-tumor, immunosuppression, and obesity agent. Here we reported a reference genome assembly of <em>T. wilfordii</em> with high-quality annotation by using a hybrid sequencing strategy, which obtained a 340.12 Mb total genome size, a contig N50 reaching 3.09 Mb, 31593 structure genes, and the repeat percentage was 44.31%. Comparative evolutional analyses showed that <em>T. wilfordii</em> diverged from species of Malpighiales about 102.4 million years ago. In addition, we successfully anchored 91.02% sequences into 23 pseudochromosomes using Hi-C technology and the super-scaffold N50 reached 13.03 Mb. Based on integration of genome, transcriptome and metabolite analyses, as well as in vivo and in vitro enzyme assays of the two CYP450 genes, <em>TwCYP712K1</em> and <em>TwCYP712K2</em> the second biosynthesis step of celastrol was investigated and elucidated. Syntenic analysis revealed that <em>TwCYP712K1</em> and <em>TwCYP712K2</em> derived from a common ancestor. These results have provided insights into further investigating pathways for celastrol and valuable information to aid the conservation of resources and helped us reveal the evolution of Celastrales.</p>
Project description:we mapped the locations of DNA segments occupied by GATA1 using chromatin immunoprecipitation (ChIP). We have produced genome-wide GATA1 ChIP datasets after restoration and activation in G1E-ER4 cells. we employed the sequence census methodology of ChIP-seq , using Illumina GA2 technology to produce 23 million reads (36 nucleotides long) uniquely mapped to the mouse genome (mm8 assembly) for the GATA1 ChIP DNA and 15 million mapped reads for the input DNA Examination of transcription factor GATA1 occupancy