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April 21, 2020

Integrating Hi-C links with assembly graphs for chromosome-scale assembly.

Long-read sequencing and novel long-range assays have revolutionized de novo genome assembly by automating the reconstruction of reference-quality genomes. In particular, Hi-C sequencing is becoming an economical method for generating chromosome-scale scaffolds. Despite its increasing popularity, there are limited open-source tools available. Errors, particularly inversions and fusions across chromosomes, remain higher than alternate scaffolding technologies. We present a novel open-source Hi-C scaffolder that does not require an a priori estimate of chromosome number and minimizes errors by scaffolding with the assistance of an assembly graph. We demonstrate higher accuracy than the state-of-the-art methods across a variety of Hi-C library preparations and input assembly sizes. The Python and C++ code for our method is openly available at https://github.com/machinegun/SALSA.


April 21, 2020

Modern technologies and algorithms for scaffolding assembled genomes.

The computational reconstruction of genome sequences from shotgun sequencing data has been greatly simplified by the advent of sequencing technologies that generate long reads. In the case of relatively small genomes (e.g., bacterial or viral), complete genome sequences can frequently be reconstructed computationally without the need for further experiments. However, large and complex genomes, such as those of most animals and plants, continue to pose significant challenges. In such genomes, assembly software produces incomplete and fragmented reconstructions that require additional experimentally derived information and manual intervention in order to reconstruct individual chromosome arms. Recent technologies originally designed to capture chromatin structure have been shown to effectively complement sequencing data, leading to much more contiguous reconstructions of genomes than previously possible. Here, we survey these technologies and the algorithms used to assemble and analyze large eukaryotic genomes, placed within the historical context of genome scaffolding technologies that have been in existence since the dawn of the genomic era.


April 21, 2020

The bacteriocin from the prophylactic candidate Streptococcus suis 90-1330 is widely distributed across S. suis isolates and appears encoded in an integrative and conjugative element.

The Gram-positive a-hemolytic Streptococcus suis is a major pathogen in the swine industry and an emerging zoonotic agent that can cause several systemic issues in both pigs and humans. A total of 35 S. suis serotypes (SS) have been identified and genotyped into > 700 sequence types (ST) by multilocus sequence typing (MLST). Eurasian ST1 isolates are the most virulent of all S. suis SS2 strains while North American ST25 and ST28 strains display moderate to low/no virulence phenotypes, respectively. Notably, S. suis 90-1330 is an avirulent Canadian SS2-ST28 isolate producing a lantibiotic bacteriocin with potential prophylactic applications. To investigate the suitability of this strain for such purposes, we sequenced its complete genome using the Illumina and PacBio platforms. The S. suis 90-1330 bacteriocin was found encoded in a locus cargoed in what appears to be an integrative and conjugative element (ICE). This bacteriocin locus was also found to be widely distributed across several streptococcal species and in a few Staphylococcus aureus strains. Because the locus also confers protection from the bacteriocin, the potential prophylactic benefits of using this strain may prove limited due to the spread of the resistance to its effects. Furthermore, the S. suis 90-1330 genome was found to code for genes involved in blood survival, suggesting that strain may not be a benign as previously thought.


April 21, 2020

Genomic characterization of Kerstersia gyiorum SWMUKG01, an isolate from a patient with respiratory infection in China.

The Gram-negative bacterium Kerstersia gyiorum, a potential etiological agent of clinical infections, was isolated from several human patients presenting clinical symptoms. Its significance as a possible pathogen has been previously overlooked as no disease has thus far been definitively associated with this bacterium. To better understand how the organism contributes to the infectious disease, we determined the complete genomic sequence of K. gyiorum SWMUKG01, the first clinical isolate from southwest China.The genomic data obtained displayed a single circular chromosome of 3, 945, 801 base pairs in length, which contains 3, 441 protein-coding genes, 55 tRNA genes and 9 rRNA genes. Analysis on the full spectrum of protein coding genes for cellular structures, two-component regulatory systems and iron uptake pathways that may be important for the success of the bacterial survival, colonization and establishment in the host conferred new insights into the virulence characteristics of K. gyiorum. Phylogenomic comparisons with Alcaligenaceae species indicated that K. gyiorum SWMUKG01 had a close evolutionary relationships with Alcaligenes aquatilis and Alcaligenes faecalis.The comprehensive analysis presented in this work determinates for the first time a complete genome sequence of K. gyiorum, which is expected to provide useful information for subsequent studies on pathogenesis of this species.


April 21, 2020

A whole genome scan of SNP data suggests a lack of abundant hard selective sweeps in the genome of the broad host range plant pathogenic fungus Sclerotinia sclerotiorum.

The pathogenic fungus Sclerotinia sclerotiorum infects over 600 species of plant. It is present in numerous environments throughout the world and causes significant damage to many agricultural crops. Fragmentation and lack of gene flow between populations may lead to population sub-structure. Within discrete recombining populations, positive selection may lead to a ‘selective sweep’. This is characterised by an increase in frequency of a favourable allele leading to reduction in genotypic diversity in a localised genomic region due to the phenomenon of genetic hitchhiking. We aimed to assess whether isolates of S. sclerotiorum from around the world formed genotypic clusters associated with geographical origin and to determine whether signatures of population-specific positive selection could be detected. To do this, we sequenced the genomes of 25 isolates of S. sclerotiorum collected from four different continents-Australia, Africa (north and south), Europe and North America (Canada and the northen United States) and conducted SNP based analyses of population structure and selective sweeps. Among the 25 isolates, there was evidence for two major population clusters. One of these consisted of 11 isolates from Canada, the USA and France (population 1), and the other consisted of nine isolates from Australia and one from Morocco (population 2). The rest of the isolates were genotypic outliers. We found that there was evidence of outcrossing in these two populations based on linkage disequilibrium decay. However, only a single candidate selective sweep was observed, and it was present in population 2. This sweep was close to a Major Facilitator Superfamily transporter gene, and we speculate that this gene may have a role in nutrient uptake from the host. The low abundance of selective sweeps in the S. sclerotiorum genome contrasts the numerous examples in the genomes of other fungal pathogens. This may be a result of its slow rate of evolution and low effective recombination rate due to self-fertilisation and vegetative reproduction.


April 21, 2020

Comparative genomic analysis of eight novel haloalkaliphilic bacteriophages from Lake Elmenteita, Kenya.

We report complete genome sequences of eight bacteriophages isolated from Haloalkaline Lake Elmenteita found on the floor of Kenyan Rift Valley. The bacteriophages were sequenced, annotated and a comparative genomic analysis using various Bioinformatics tools carried out to determine relatedness of the bacteriophages to each other, and to those in public databases. Basic genome properties like genome size, percentage coding density, number of open reading frames, percentage GC content and gene organizations revealed the bacteriophages had no relationship to each other. Comparison to other nucleotide sequences in GenBank database showed no significant similarities hence novel. At the amino acid level, phages of our study revealed mosaicism to genes with conserved domains to already described phages. Phylogenetic analyses of large terminase gene responsible for DNA packaging and DNA polymerase gene for replication further showed diversity among the bacteriophages. Our results give insight into diversity of bacteriophages in Lake Elmenteita and provide information on their evolution. By providing primary sequence information, this study not only provides novel sequences for biotechnological exploitation, but also sets stage for future studies aimed at better understanding of virus diversity and genomes from haloalkaline lakes in the Rift Valley.


April 21, 2020

Information about variations in multiple copies of bacterial 16S rRNA genes may aid in species identification.

Variable region analysis of 16S rRNA gene sequences is the most common tool in bacterial taxonomic studies. Although used for distinguishing bacterial species, its use remains limited due to the presence of variable copy numbers with sequence variation in the genomes. In this study, 16S rRNA gene sequences, obtained from completely assembled whole genome and Sanger electrophoresis sequencing of cloned PCR products from Serratia fonticola GS2, were compared. Sanger sequencing produced a combination of sequences from multiple copies of 16S rRNA genes. To determine whether the variant copies of 16S rRNA genes affected Sanger sequencing, two ratios (5:5 and 8:2) with different concentrations of cloned 16S rRNA genes were used; it was observed that the greater the number of copies with similar sequences the higher its chance of amplification. Effect of multiple copies for taxonomic classification of 16S rRNA gene sequences was investigated using the strain GS2 as a model. 16S rRNA copies with the maximum variation had 99.42% minimum pairwise similarity and this did not have an effect on species identification. Thus, PCR products from genomes containing variable 16S rRNA gene copies can provide sufficient information for species identification except from species which have high similarity of sequences in their 16S rRNA gene copies like the case of Bacillus thuringiensis and Bacillus cereus. In silico analysis of 1,616 bacterial genomes from long-read sequencing was also done. The average minimum pairwise similarity for each phylum was reported with their average genome size and average “unique copies” of 16S rRNA genes and we found that the phyla Proteobacteria and Firmicutes showed the highest amount of variation in their copies of their 16S rRNA genes. Overall, our results shed light on how the variations in the multiple copies of the 16S rRNA genes of bacteria can aid in appropriate species identification.


April 21, 2020

Complete Genome Sequence of Lactococcus lactis subsp. cremoris 3107, Host for the Model Lactococcal P335 Bacteriophage TP901-1.

The complete genome sequence of Lactococcus lactis subsp. cremoris 3107, a dairy starter strain and a host for the model lactococcal P335 bacteriophage TP901-1, is reported here. The circular chromosome of L. lactis subsp. cremoris 3107 is among the smallest genomes of currently sequenced lactococcal strains. L. lactis subsp. cremoris 3107 harbors a complement of six plasmids, which appears to be a reflection of its adaptation to the nutrient-rich dairy environment.


April 21, 2020

High-Quality Complete Genome Sequences of Three Pseudomonas aeruginosa Isolates Retrieved from Patients Hospitalized in Intensive Care Units.

Pseudomonas aeruginosa is one of the major Gram-negative pathogens responsible for hospital-acquired infections. Here, we present high-quality genome sequences of isolates from three P. aeruginosa genotypes retrieved from patients hospitalized in intensive care units. PacBio reads were assembled into a single contig, which was afterward corrected using Illumina HiSeq reads.


April 21, 2020

Complete Genome Assembly of Yersinia pseudotuberculosis IP2666pIB1.

Yersinia pseudotuberculosis, closely related to Yersinia pestis, is a human pathogen and model organism for studying bacterial pathogenesis. To aid in genomic analysis and understanding bacterial virulence, we sequenced and assembled the complete genome of the human pathogen Yersinia pseudotuberculosis IP2666pIB1.


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