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July 7, 2019

Complete genome sequence of the multidrug-resistant neonatal meningitis Escherichia coli serotype O75:H5:K1 strain mcjchv-1 (NMEC-O75).

Neonatal meningitis Escherichia coli (NMEC) is the second leading cause of neonatal bacterial meningitis worldwide. We report the genome sequence of the multidrug-resistant NMEC serotype O75:H5:K1 strain mcjchv-1, which resulted in an infant’s death. The O75 serogroup is rare among NMEC isolates; therefore, this strain is considered an emergent pathogen.


July 7, 2019

Complete genome sequence of Bacillus megaterium strain TG1-E1, a plant drought tolerance-enhancing bacterium.

Based on a combination of next-generation sequencing and single-molecule sequencing, we obtained the whole-genome sequence of Bacillus megaterium strain TG1-E1, which is a highly salt-tolerant rhizobacterium that enhances plant tolerance to drought stress. The complete genome is estimated to be approximately 5.48 Mb containing a total of 5,858 predicted protein-coding DNA sequences.


July 7, 2019

PacBio genome sequences of Escherichia coli serotype O157:H7, diffusely adherent E. coli, and Salmonella enterica strains, all carrying plasmids with an mcr-1 resistance gene.

We report here Illumina-corrected PacBio whole-genome sequences of an Escherichia coli serotype O157:H7 strain (2017C-4109), an E. coli serotype O[undetermined]:H2 strain (2017C-4173W12), and a Salmonella enterica subsp. enterica serovar Enteritidis strain (2017K-0021), all of which carried the mcr-1 resistance gene on an IncI2 or IncX4 plasmid. We also determined that pMCR-1-CTSe is identical to a previously published plasmid, pMCR-1-CT.


July 7, 2019

Mitochondrial genomes of two diplectanids (Platyhelminthes: Monogenea) expose paraphyly of the order Dactylogyridea and extensive tRNA gene rearrangements.

Recent mitochondrial phylogenomics studies have reported a sister-group relationship of the orders Capsalidea and Dactylogyridea, which is inconsistent with previous morphology- and molecular-based phylogenies. As Dactylogyridea mitochondrial genomes (mitogenomes) are currently represented by only one family, to improve the phylogenetic resolution, we sequenced and characterized two dactylogyridean parasites, Lamellodiscus spari and Lepidotrema longipenis, belonging to a non-represented family Diplectanidae.The L. longipenis mitogenome (15,433 bp) contains the standard 36 flatworm mitochondrial genes (atp8 is absent), whereas we failed to detect trnS1, trnC and trnG in L. spari (14,614 bp). Both mitogenomes exhibit unique gene orders (among the Monogenea), with a number of tRNA rearrangements. Both long non-coding regions contain a number of different (partially overlapping) repeat sequences. Intriguingly, these include putative tRNA pseudogenes in a tandem array (17 trnV pseudogenes in L. longipenis, 13 trnY pseudogenes in L. spari). Combined nucleotide diversity, non-synonymous/synonymous substitutions ratio and average sequence identity analyses consistently showed that nad2, nad5 and nad4 were the most variable PCGs, whereas cox1, cox2 and cytb were the most conserved. Phylogenomic analysis showed that the newly sequenced species of the family Diplectanidae formed a sister-group with the Dactylogyridae + Capsalidae clade. Thus Dactylogyridea (represented by the Diplectanidae and Dactylogyridae) was rendered paraphyletic (with high statistical support) by the nested Capsalidea (represented by the Capsalidae) clade.Our results show that nad2, nad5 and nad4 (fast-evolving) would be better candidates than cox1 (slow-evolving) for species identification and population genetics studies in the Diplectanidae. The unique gene order pattern further suggests discontinuous evolution of mitogenomic gene order arrangement in the Class Monogenea. This first report of paraphyly of the Dactylogyridea highlights the need to generate more molecular data for monogenean parasites, in order to be able to clarify their relationships using large datasets, as single-gene markers appear to provide a phylogenetic resolution which is too low for the task.


July 7, 2019

Identification and genome analysis of Deinococcus actinosclerus SJTR1, a novel 17ß-estradiol degradation bacterium.

Biodegradation with microorganisms is considered as an efficient strategy to remove the environmental pollutants. In this work, Deinococcus actinosclerus SJTR1 isolated from the wastewater was confirmed with great degradation capability to 17ß-estradiol, one typical estrogen chemical. It could degrade nearly 90% of 17ß-estradiol (10 mg/L) in 5 days and transform it into estrone; its degradation kinetics fitted for the first-order kinetic equation. The whole genome sequence of D. actinosclerus SJTR1 was obtained and annotated, containing one chromosome (3,315,586 bp) and four plasmids (ranging from 17,267 bp to 460,244 bp). A total of 3913 CDSs and 73 RNA genes (including 12 rRNA genes, 50 tRNA genes, and 11 ncRNA genes) were identified in its whole genome sequence. On this basis, a series of potential genes involved in steroid metabolism and stress responses of D. actinosclerus SJTR1 were predicted. It is the first report of Deinococcus strain with the degradation capability to estrogens. This work could enrich the genome sources of the estrogen-degrading strains and promote the degradation mechanism study of 17ß-estradiol in bacteria.


July 7, 2019

Picky comprehensively detects high-resolution structural variants in nanopore long reads.

Acquired genomic structural variants (SVs) are major hallmarks of cancer genomes, but they are challenging to reconstruct from short-read sequencing data. Here we exploited the long reads of the nanopore platform using our customized pipeline, Picky ( https://github.com/TheJacksonLaboratory/Picky ), to reveal SVs of diverse architecture in a breast cancer model. We identified the full spectrum of SVs with superior specificity and sensitivity relative to short-read analyses, and uncovered repetitive DNA as the major source of variation. Examination of genome-wide breakpoints at nucleotide resolution uncovered micro-insertions as the common structural features associated with SVs. Breakpoint density across the genome is associated with the propensity for interchromosomal connectivity and was found to be enriched in promoters and transcribed regions of the genome. Furthermore, we observed an over-representation of reciprocal translocations from chromosomal double-crossovers through phased SVs. We demonstrate that Picky analysis is an effective tool for comprehensive detection of SVs in cancer genomes from long-read data.


July 7, 2019

Genome analysis of Mycobacterium avium subspecies hominissuis strain 109.

Infection with Mycobacterium avium is a significant cause of morbidity and its treatment requires the use of multiple antibiotics for more than 12 months. In the current work, we provide the genome sequence, gene annotations, gene ontology annotations, and protein homology data for M. avium strain 109 (MAC109), which has been used extensively in preclinical studies. The de novo assembled genome consists of a circular chromosome of length 5,188,883?bp and two circular plasmids of sizes 147,100?bp and 16,516?bp. We have named the plasmids pMAC109a and pMAC109b, respectively. Based on its genome, we confirm that MAC109 should be classified as Mycobacterium avium subsp. hominissuis. Using genome annotation software, we identified 4,841 coding sequences and annotated these with Gene Ontology (GO) terms. Additionally, we wrote software to generate a database of homologous proteins among MAC109 and eight other commonly used mycobacterial laboratory strains. The resulting database may be useful for translating genetic data between various strains of mycobacteria, and the software may be applied readily to other organisms.


July 7, 2019

iMGEins: detecting novel mobile genetic elements inserted in individual genomes.

Recent advances in sequencing technology have allowed us to investigate personal genomes to find structural variations, which have been studied extensively to identify their association with the physiology of diseases such as cancer. In particular, mobile genetic elements (MGEs) are one of the major constituents of the human genomes, and cause genome instability by insertion, mutation, and rearrangement.We have developed a new program, iMGEins, to identify such novel MGEs by using sequencing reads of individual genomes, and to explore the breakpoints with the supporting reads and MGEs detected. iMGEins is the first MGE detection program that integrates three algorithmic components: discordant read-pair mapping, split-read mapping, and insertion sequence assembly. Our evaluation results showed its outstanding performance in detecting novel MGEs from simulated genomes, as well as real personal genomes. In detail, the average recall and precision rates of iMGEins are 96.67 and 100%, respectively, which are the highest among the programs compared. In the testing with real human genomes of the NA12878 sample, iMGEins shows the highest accuracy in detecting MGEs within 20?bp proximity of the breakpoints annotated.In order to study the dynamics of MGEs in individual genomes, iMGEins was developed to accurately detect breakpoints and report inserted MGEs. Compared with other programs, iMGEins has valuable features of identifying novel MGEs and assembling the MGEs inserted.


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