Journal of Genomics最新文献

Metagenomic analysis of stone microbiome from samples collected in New England, USA and Tamil Nadu, India identified numerous Actinobacteria including Geodermatphilaceae. A culture-dependent approach was performed as a companion study with this culture-independent metagenomic analysis of these stone samples and resulted in the isolation of eleven Geodermatphilaceae strains (2 Geodermatophilus and 9 Blastococcus strains). The genomes of the 11 Geodermatphilaceae strains were sequenced and analyzed. The genomes for the two Geodermatophilus isolates, DF1-2 and TF2-6, were 4.45 and 4.75 Mb, respectively, while the Blastococcus genomes ranged in size from 3.98 to 5.48 Mb. Phylogenetic analysis, digital DNA:DNA hybridization (dDDH), and comparisons of the average nucleotide identities (ANI) suggest the isolates represent novel Geodermatophilus and Blastococcus species. Functional analysis of the Geodermatphilaceae genomes provides insight on the stone microbiome niche.

The genomes of two nitrogen-fixing Frankia strains, AgB32 and AgKG'84/4, were isolated from spore-containing (spore+) and spore-free (spore-) root nodules of Alnus glutinosa, but they did not sporulate upon reinfection. The two strains are described as representatives of two novel candidate species. Phylogenomic and ANI analyses indicate that each strain represents a novel species within cluster 1, with genome sizes of 6.3 and 6.7 Mb smaller than or similar to those of other cultivated Alnus-infective cluster 1 strains. Genes essential for nitrogen-fixation, clusters of orthologous genes, secondary metabolite clusters and transcriptional regulators analyzed by comparative genomic analyses were typical of those from Alnus-infective cluster 1 cultivated strains in both genomes. Compared to other cultivated Alnus-infective strains with large genomes, those of AgB32 and AgKG'84/4 had lost 380 or 409 genes, among which one hup cluster, one shc gene and the gvp cluster, which indicates genome erosion is taking place in these two strains.

Foodborne illnesses caused by wild mushroom poisoning occur globally and have led to food safety concerns. Here, we reported de novo genome assemblies of the six most commonly encountered toxic mushrooms in Thailand. These comprised Amanita brunneitoxicaria, Cantharocybe virosa, Chlorophyllum molybdites, Entoloma mastoideum, Pseudosperma sp. and Russula subnigricans. The nuclear genome sizes of these species ranged from 40 to 77 Mb, with the number of predicted genes ranging from 5,375 to 14,099. The mitogenome sizes varied from 41,555 to 78,907 bp. The resulting draft genomes of these poisonous mushrooms provide insights into toxin-related genes that may be used to establish genetic markers for monitoring mushroom poisoning outbreaks.

Genotyping array is the most economical approach for conducting large-scale genome-wide genetic association studies. Thorough quality control is key to generating high integrity genotyping data and robust results. Quality control of genotyping array is generally a complicated process, as it requires intensive manual labor in implementing the established protocols and curating a comprehensive quality report. There is an urgent need to reduce manual intervention via an automated quality control process. Based on previously established protocols and strategies, we developed an R package GTQC (GenoTyping Quality Control) to automate a majority of the quality control steps for general array genotyping data. GTQC covers a comprehensive spectrum of genotype data quality metrics and produces a detailed HTML report comprising tables and figures. Here, we describe the concepts underpinning GTQC and demonstrate its effectiveness using a real genotyping dataset. R package GTQC streamlines a majority of the quality control steps and produces a detailed HTML report on a plethora of quality control metrics, thus enabling a swift and rigorous data quality inspection prior to downstream GWAS and related analyses. By significantly cutting down on the time on genotyping quality control procedures, GTQC ensures maximum utilization of available resources and minimizes waste and inefficient allocation of manual efforts. GTQC tool can be accessed at https://github.com/slzhao/GTQC.

Antibiotic resistance continues to be a significant public health challenge. Soil bacteria represent a potential source of yet to be discovered antimicrobials. The screening of Iowa (United States) soils yielded the identification of a strain of Pantoea ananatis (MMB-1), which displayed an antimicrobial-producing phenotype against a bacterium (Bacillus subtilis) representative of Gram-positive bacteria. Crude, organic, extracts of MMB-1 retained the anti-microbial activity. The draft genome of strain MMB-1 contains a total of 4,634,340 bp, and 4,624 protein-encoding genes. Consistent with phenotypic observation, the genome of MMB-1 encodes for a number of putative secondary metabolite biosynthetic gene clusters, including those known to be involved in the production of the antibiotics lankacidin C and bottromycin. This study increases our overall understanding of Panteoa as a group, and is also consistent with the notion that members of this genus have significant potential as useful natural product producers.

Background: Cervical cancer (CC) is one of the most common female malignancies worldwide. An increasing body of evidence suggests that circular RNAs (circRNAs) participate in the pathogenesis of various cancers, including CC. However, the expression profile and underlying molecular mechanisms remain largely unknown. Methods: In this study, high throughput sequencing was applied to identify circRNA in HPV-16 positive CC tissues. Quantitative real-time PCR (qRT-PCR) was performed to validate the expression in CC tissues and cell lines. RNase R treatment, gel-electrophoresis, and RNA fluorescent in situ hybridization (FISH) were used to characterize the circRNAs. Subsequently, the Cell Counting Kit-8 assay (CCK8), transwell and wound healing assays were performed to assess circRNA function. Meanwhile, dual-luciferase reporter and western blot were used to clarify the associated molecular mechanisms. Results: Circ0036602 was upregulated in HPV-16 positive CC and correlated with a poor prognosis. Moreover, circ0036602 expression significantly correlated with the clinicopathologic characteristics. Knockdown of circ0036602 inhibited CC cell proliferation, migration, and invasion. Further studies showed that circ0036602 could bind to miR-34-5p and miR-431-5p to regulate the expression of the target gene HMGB1. Conclusions: Taken together, our findings suggest that circ0036602 is a tumor-promoting circRNA that promotes CC cells by sponging miR-34-5p and miR-431-5p to regulate HMGB1. Circ0036602 has huge prospects as a potential therapeutic target for CC patients.

Aim of study was comparative analysis of mRNA transcripts of HT-29 cell line, expressed in identical quantities for the combination of pathogenic and non-pathogenic Escherichia coli strains. HT-29 confluent monolayers infection with two pathogenic E. coli strains UM146 and UM147 resulted in two sets of mRNA transcripts that were identical with RNA transcripts obtained for non-pathogenic one strain E. coli Nissle 1917. In this study genome-wide experiments were conducted using expression microarray-system. Only one common mRNA transcript coding for CCDC65 gene was equally expressed by HT-29 cells after incubation challenge with three different E. coli strains used. This gene and its bacterial analogue are important in the ciliary or flagellar motility, respectively. Altogether, 78 and 81 HT-29 mRNA transcripts for E. coli UM146 and E. coli UM147 had identical RNA quantity in comparison to the response obtained for non-pathogenic E. coli Nissle 1917 interactions with HT-29 monolayers. Specific analysis using REACTOME and agriGO terms enrichment data-mining tools as well as word-cloud analysis allowed for identification the most important processes characteristic during HT-29 cell line infections for each pathogenic E. coli strain used. The importance of results may contribute to recognition of those processes during bacterial infections that are identical with processes arising from human interaction with non-pathogenic strains that belong to the same bacterial species.