We present the first complete genome sequence of a copper-resistant biovar 5 strain of a bacterial pathogen of kiwifruit,Pseudomonas syringaepv. actinidiae. Comparison with the genome sequence of a copper-sensitive biovar 5 isolate indicates that copper resistance is encoded on a plasmid. Copyright © 2017 Poulter et al.
Gordonibacter urolithinfaciens DSM 27213T was isolated from human feces and is able to metabolize ellagic acid (a dietary phenolic compound present in various fruits) to urolithins. Here, we report the finished and annotated genome sequence of this organism.
Presented here is the complete genome sequence of the well-studiedRhizobialesmethanotrophMethylosinus trichosporiumstrain OB3b. The assembly contains 5,183,433 bp, corresponding to a chromosome of 4,508,832 bp and three circular plasmids of 285,280 bp, 209,102 bp, and 180,219 bp. Copyright © 2017 Heil et al.
In this work, we report the draft genome sequence ofLactobacillus salivariusSGL 03, a novel potential probiotic strain isolated from healthy infant stools. Antibiotic resistance analysis revealed the presence of a tetracycline resistance gene without elements potentially responsible for interspecific horizontal gene transfer. Copyright © 2017 Federici et al.
Bacillus altitudinis P-10 was isolated from the rhizosphere of rice grown in an organic rice field and provides strong antagonism against the bacterial blight caused by Xanthomonas oryzae pv. oryzae in rice. Herein, we provide the complete genome sequence and a possible explanation of the antibiotic function of the P-10 strain.
Mycobacterium pseudoshottsii is a fish pathogen that produces mycolactone. Here, we report the complete chromosome sequence of a type strain ofM. pseudoshottsii(JCM 15466). The sequence will represent essential data for future phylogenetic and comparative genome studies of mycolactone-producing mycobacteria. Copyright © 2017 Yoshida et al.
Streptomyces agglomeratus 5-1-8 with strong anti methicillin-resistant Staphylococcus aureus (MRSA) ability, isolated from the frozen soil of Tibet in China, has a strong ability to kill the multi-drugs-resistant MRSA. To identify the second-ary metabolism ability of this strain, we describe here the phenotypic characteristics of this strain, along with its high-quality draft genome sequence, its annotation, and analysis. The 7.1M draft genome encodes 6,284 putative open reading frames (ORFs), of which 4,416 ORFs were assigned with clusters of orthologous genes (COG) categories. Also, 65 tRNA genes and 24 rRNA operons were identified. The genome contains 12 gene clusters involved in antibiotics production and 1 gene cluster involved in anticancer-compounds production; 4 gene clusters belong to polyketides and nonribosomal peptides, 1 gene cluster belong to the butyrolactone, 4 gene clusters belong to the bacteriocin or lantipeptide, and 3 gene clusters belong to the others. This genome-sequence data will facilitate efforts to probe the potential of new antibiotics to kill multi-drugs-resistant MRSA.
Objective. Due to the fact that K. variicola, K. quasipneumoniae and K. pneumoniae are closely related bacterial species, misclassification can occur due to mistakes either in normal biochemical tests or during submission to public databases. The objective of this work was to identify K. variicola and K. quasipneumoniae genomes misclassified in GenBank database. Materials and methods. Both rpoB phylogenies and average nucleotide identity (ANI) were used to identify a significant number of misclassified Klebsiella spp. genomes. Results. Here we report an update of K. variicola and K. quasipneumoniae genomes correctly classified and a list of isolated genomes obtained from humans, plants, animals and insects, described originally as K. pneumoniae or K. variicola, but known now to be misclassified. Conclusions. This work contributes to recognize the extensive presence of K. variicola and K. quasipneumoniae isolates in diverse sites and samples.
Here we determine the sex-specific influence of mtDNA type (mitotype) and diet on mitochondrial functions and physiology in two Drosophila melanogaster lines. In many species, males and females differ in aspects of their energy production. These sex-specific influences may be caused by differences in evolutionary history and physiological functions. We predicted the influence of mtDNA mutations should be stronger in males than females as a result of the organelle’s maternal mode of inheritance in the majority of metazoans. In contrast, we predicted the influence of diet would be greater in females due to higher metabolic flexibility. We included four diets that differed in their protein: carbohydrate (P:C) ratios as they are the two-major energy-yielding macronutrients in the fly diet. We assayed four mitochondrial function traits (Complex I oxidative phosphorylation, reactive oxygen species production, superoxide dismutase activity, and mtDNA copy number) and four physiological traits (fecundity, longevity, lipid content, and starvation resistance). Traits were assayed at 11 d and 25 d of age. Consistent with predictions we observe that the mitotype influenced males more than females supporting the hypothesis of a sex-specific selective sieve in the mitochondrial genome caused by the maternal inheritance of mitochondria. Also, consistent with predictions, we found that the diet influenced females more than males.
Homology is perhaps the most central concept of phylogenetic biology. Molecular systematists have traditionally paid due attention to the homology statements that are implied by their alignments of orthologous sequences, but some authors have suggested that manual gene-by-gene curation is not sustainable in the phylogenomics era. Here, we show that there are multiple ways to efficiently screen for and detect homology errors in phylogenomic data sets. Application of these screening approaches to two phylogenomic data sets, one for birds and another for mammals, shows that these data are replete with homology errors including alignments of different exons to each other, alignments of exons to introns, and alignments of paralogues to each other. The extent of these homology errors weakens the conclusions of studies based on these data sets. Despite advances in automated phylogenomic pipelines, we contend that much of the long, difficult, and sometimes tedious work of systematics is still required to guard against pervasive homology errors. This conclusion is underscored by recent studies that show that just a few outlier genes can impact phylogenetic results at short, tightly spaced internodes that are deep in the Tree of Life. The view that widespread DNA sequence alignment errors are not a major concern for rigorous systematic research is not tenable. If a primary goal of phylogenomics is to resolve the most challenging phylogenetic problems with the abundant data that are now available, researchers must employ effective procedures to screen for and correct homology errors prior to performing downstream phylogenetic analyses.
Third generation sequencing (TGS) are highly promising technologies but the long and noisy reads from TGS are difficult to align using existing algorithms. Here, we present COSINE, a conceptually new method designed specifically for aligning long reads contaminated by a high level of errors. COSINE computes the context similarity of two stretches of nucleobases given the similarity over distributions of their short k-mers (k = 3-4) along the sequences. The results on simulated and real data show that COSINE achieves high sensitivity and specificity under a wide range of read accuracies. When the error rate is high, COSINE can offer substantial advantages over existing alignment methods.© The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.
Background: Development of improved therapeutics against tuberculosis (TB) is hindered by an inadequate understanding of the relationship between disease severity and genetic diversity of its causative agent, Mycobacterium tuberculosis. We previously isolated a hypervirulent M. tuberculosis strain H112 from an HIV-negative patient with an aggressive disease progression from pulmonary TB to tuberculous meningitis—the most severe manifestation of tuberculosis. Human macrophage challenge experiment demonstrated that the strain H112 exhibited significantly better intracellular survivability and induced lower level of TNF-a than the reference virulent strain H37Rv and other 123 clinical isolates. Aim: The present study aimed to identify the potential genetic determinants of mycobacterial virulence that were common to strain H112 and hypervirulent M. tuberculosis strains of the same phylogenetic clade isolated in other global regions. Methods: A low-virulent M. tuberculosis strain H54 which belonged to the same phylogenetic lineage (L2) as strain H112 was selected from a collection of 115 clinical isolates. Both H112 and H54 were whole-genome-sequenced using PacBio sequencing technology. A comparative genomics approach was adopted to identify mutations present in strain H112 but absent in strain H54. Subsequently, an extensive phylogenetic analysis was conducted by including all publically available M. tuberculosis genomes. Single-nucleotide-polymorphisms (SNPs) and structural variations (SVs) common to hypervirulent strains in the global collection of genomes were considered as potential genetic determinants of hypervirulence. Results: Sequencing data revealed that both H112 and H54 were identified as members of the same sub-lineage L2.2.1. After excluding the lineage-related mutations shared between H112 and H54, we analyzed the phylogenetic relatedness of H112 with global collection of M. tuberculosis genomes (n = 4,338), and identified a novel phylogenetic clade in which four hypervirulent strains isolated from geographically diverse regions were clustered together. All hypervirulent strains in the clade shared 12 SNPs and 5 SVs with H112, including those affecting key virulence-associated loci, notably, a deleterious SNP (rv0178 p. D150E) within mce1 operon and an intergenic deletion (854259_ 854261delCC) in close-proximity to phoP. Conclusion: The present study identified common genetic factors in a novel phylogenetic clade of hypervirulent M. tuberculosis. The causative role of these mutations in mycobacterial virulence should be validated in future study.
The Plasmodium genus has evolved over time and across hosts, complexifying our understanding of malaria. In a recent Nature paper, Rutledge et al. (2017) describe the genome sequences of three major human malaria parasite species, providing insight into Plasmodium evolution and raising the question of how many species there are. Copyright © 2017 Elsevier Inc. All rights reserved.
Although numerous algorithms have been developed to identify structural variations (SVs) in genomic sequences, there is a dearth of approaches that can be used to evaluate their results. This is significant as the accurate identification of structural variation is still an outstanding but important problem in genomics. The emergence of new sequencing technologies that generate longer sequence reads can, in theory, provide direct evidence for all types of SVs regardless of the length of the region through which it spans. However, current efforts to use these data in this manner require the use of large computational resources to assemble these sequences as well as visual inspection of each region. Here we present VaPoR, a highly efficient algorithm that autonomously validates large SV sets using long-read sequencing data. We assessed the performance of VaPoR on SVs in both simulated and real genomes and report a high-fidelity rate for overall accuracy across different levels of sequence depths. We show that VaPoR can interrogate a much larger range of SVs while still matching existing methods in terms of false positive validations and providing additional features considering breakpoint precision and predicted genotype. We further show that VaPoR can run quickly and efficiency without requiring a large processing or assembly pipeline. VaPoR provides a long read-based validation approach for genomic SVs that requires relatively low read depth and computing resources and thus will provide utility with targeted or low-pass sequencing coverage for accurate SV assessment. The VaPoR Software is available at: https://github.com/mills-lab/vapor.© The Authors 2017. Published by Oxford University Press.
Cyanobacteria are widely distributed in marine, aquatic, and terrestrial ecosystems, and play an important role in the global nitrogen cycle. In the present study, we examined the genome sequence of the thermophilic non-heterocystous N2-fixing cyanobacterium, Thermoleptolyngbya sp. O-77 (formerly known as Leptolyngbya sp. O-77) and characterized its nitrogenase activity. The genome of this cyanobacterial strain O-77 consists of a single chromosome containing a nitrogen fixation gene cluster. A phylogenetic analysis indicated that the NifH amino acid sequence from strain O-77 was clustered with those from a group of mesophilic species: the highest identity was found in Leptolyngbya sp. KIOST-1 (97.9% sequence identity). The nitrogenase activity of O-77 cells was dependent on illumination, whereas a high intensity of light of 40 µmol m-2 s-1 suppressed the effects of illumination.
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