Menu
July 7, 2019

Improved assembly of noisy long reads by k-mer validation.

Genome assembly depends critically on read length. Two recent technologies, from Pacific Biosciences (PacBio) and Oxford Nanopore, produce read lengths >20 kb, which yield de novo genome assemblies with vastly greater contiguity than those based on Sanger, Illumina, or other technologies. However, the very high error rates of these two new technologies (~15% per base) makes assembly imprecise at repeats longer than the read length and computationally expensive. Here we show that the contiguity and quality of the assembly of these noisy long reads can be significantly improved at a minimal cost, by leveraging on the low error rate and low cost of Illumina short reads. Namely, k-mers from the PacBio raw reads that are not present in Illumina reads (which account for ~95% of the distinct k-mers) are deemed sequencing errors and ignored at the seed alignment step. By focusing on the ~5% of k-mers that are error free, read overlap sensitivity is dramatically increased. Of equal importance, the validation procedure can be extended to exclude repetitive k-mers, which prevents read miscorrection at repeats and further improves the resulting assemblies. We tested the k-mer validation procedure using one long-read technology (PacBio) and one assembler (MHAP/Celera Assembler), but it is very likely to yield analogous improvements with alternative long-read technologies and assemblers, such as Oxford Nanopore and BLASR/DALIGNER/Falcon, respectively.© 2016 Carvalho et al.; Published by Cold Spring Harbor Laboratory Press.


July 7, 2019

Improve homology search sensitivity of PacBio data by correcting frameshifts.

Single-molecule, real-time sequencing (SMRT) developed by Pacific BioSciences produces longer reads than secondary generation sequencing technologies such as Illumina. The long read length enables PacBio sequencing to close gaps in genome assembly, reveal structural variations, and identify gene isoforms with higher accuracy in transcriptomic sequencing. However, PacBio data has high sequencing error rate and most of the errors are insertion or deletion errors. During alignment-based homology search, insertion or deletion errors in genes will cause frameshifts and may only lead to marginal alignment scores and short alignments. As a result, it is hard to distinguish true alignments from random alignments and the ambiguity will incur errors in structural and functional annotation. Existing frameshift correction tools are designed for data with much lower error rate and are not optimized for PacBio data. As an increasing number of groups are using SMRT, there is an urgent need for dedicated homology search tools for PacBio data.In this work, we introduce Frame-Pro, a profile homology search tool for PacBio reads. Our tool corrects sequencing errors and also outputs the profile alignments of the corrected sequences against characterized protein families. We applied our tool to both simulated and real PacBio data. The results showed that our method enables more sensitive homology search, especially for PacBio data sets of low sequencing coverage. In addition, we can correct more errors when comparing with a popular error correction tool that does not rely on hybrid sequencing.The source code is freely available at https://sourceforge.net/projects/frame-pro/yannisun@msu.edu. © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.


July 7, 2019

Information-optimal genome assembly via sparse read-overlap graphs.

In the context of third-generation long-read sequencing technologies, read-overlap-based approaches are expected to play a central role in the assembly step. A fundamental challenge in assembling from a read-overlap graph is that the true sequence corresponds to a Hamiltonian path on the graph, and, under most formulations, the assembly problem becomes NP-hard, restricting practical approaches to heuristics. In this work, we avoid this seemingly fundamental barrier by first setting the computational complexity issue aside, and seeking an algorithm that targets information limits In particular, we consider a basic feasibility question: when does the set of reads contain enough information to allow unambiguous reconstruction of the true sequence?Based on insights from this information feasibility question, we present an algorithm-the Not-So-Greedy algorithm-to construct a sparse read-overlap graph. Unlike most other assembly algorithms, Not-So-Greedy comes with a performance guarantee: whenever information feasibility conditions are satisfied, the algorithm reduces the assembly problem to an Eulerian path problem on the resulting graph, and can thus be solved in linear time. In practice, this theoretical guarantee translates into assemblies of higher quality. Evaluations on both simulated reads from real genomes and a PacBio Escherichia coli K12 dataset demonstrate that Not-So-Greedy compares favorably with standard string graph approaches in terms of accuracy of the resulting read-overlap graph and contig N50.Available at github.com/samhykim/nsgcourtade@eecs.berkeley.edu or dntse@stanford.eduSupplementary data are available at Bioinformatics online.© The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.


July 7, 2019

CoLoRMap: Correcting Long Reads by Mapping short reads.

Second generation sequencing technologies paved the way to an exceptional increase in the number of sequenced genomes, both prokaryotic and eukaryotic. However, short reads are difficult to assemble and often lead to highly fragmented assemblies. The recent developments in long reads sequencing methods offer a promising way to address this issue. However, so far long reads are characterized by a high error rate, and assembling from long reads require a high depth of coverage. This motivates the development of hybrid approaches that leverage the high quality of short reads to correct errors in long reads.We introduce CoLoRMap, a hybrid method for correcting noisy long reads, such as the ones produced by PacBio sequencing technology, using high-quality Illumina paired-end reads mapped onto the long reads. Our algorithm is based on two novel ideas: using a classical shortest path algorithm to find a sequence of overlapping short reads that minimizes the edit score to a long read and extending corrected regions by local assembly of unmapped mates of mapped short reads. Our results on bacterial, fungal and insect data sets show that CoLoRMap compares well with existing hybrid correction methods.The source code of CoLoRMap is freely available for non-commercial use at https://github.com/sfu-compbio/colormapehaghshe@sfu.ca or cedric.chauve@sfu.caSupplementary data are available at Bioinformatics online.© The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.


July 7, 2019

Epigenetic mechanisms in microbial members of the human microbiota: current knowledge and perspectives.

The human microbiota and epigenetic processes have both been shown to play a crucial role in health and disease. However, there is extremely scarce information on epigenetic modulation of microbiota members except for a few pathogens. Mainly DNA adenine methylation has been described extensively in modulating the virulence of pathogenic bacteria in particular. It would thus appear likely that such mechanisms are widespread for most bacterial members of the microbiota. This review will present briefly the current knowledge on epigenetic processes in bacteria, give examples of known methylation processes in microbial members of the human microbiota and summarize the knowledge on regulation of host epigenetic processes by the human microbiota.


July 7, 2019

Genome-guided design of a defined mouse microbiota that confers colonization resistance against Salmonella enterica serovar Typhimurium.

Protection against enteric infections, also termed colonization resistance, results from mutualistic interactions of the host and its indigenous microbes. The gut microbiota of humans and mice is highly diverse and it is therefore challenging to assign specific properties to its individual members. Here, we have used a collection of murine bacterial strains and a modular design approach to create a minimal bacterial community that, once established in germ-free mice, provided colonization resistance against the human enteric pathogen Salmonella enterica serovar Typhimurium (S. Tm). Initially, a community of 12 strains, termed Oligo-Mouse-Microbiota (Oligo-MM(12)), representing members of the major bacterial phyla in the murine gut, was selected. This community was stable over consecutive mouse generations and provided colonization resistance against S. Tm infection, albeit not to the degree of a conventional complex microbiota. Comparative (meta)genome analyses identified functions represented in a conventional microbiome but absent from the Oligo-MM(12). By genome-informed design, we created an improved version of the Oligo-MM community harbouring three facultative anaerobic bacteria from the mouse intestinal bacterial collection (miBC) that provided conventional-like colonization resistance. In conclusion, we have established a highly versatile experimental system that showed efficacy in an enteric infection model. Thus, in combination with exhaustive bacterial strain collections and systems-based approaches, genome-guided design can be used to generate insights into microbe-microbe and microbe-host interactions for the investigation of ecological and disease-relevant mechanisms in the intestine.


July 7, 2019

Identification of a virulence determinant that is conserved in the Jawetz and Heyl biotypes of [Pasteurella] pneumotropica.

[Pasteurella] pneumotropica is a ubiquitous bacterium frequently isolated from laboratory rodents. Although this bacterium causes various diseases in immunosuppressed animals, little is known about major virulence factors and their roles in pathogenicity. To identify virulence factors, we sequenced the genome of [P.] pneumotropica biotype Heyl strain ATCC 12555, and compared the resulting non-contiguous draft genome sequence with the genome of biotype Jawetz strain ATCC 35149. Among a large number of genes encoding virulence-associated factors in both strains, four genes encoding for YadA-like proteins, which are known virulence factors that function in host cell adherence and invasion in many pathogens. In this study, we assessed YadA distribution and biological activity as an example of one of virulence-associated factor shared, with biotype Jawetz and Heyl. More than half of mouse isolates were found to have at least one of these genes; whereas, the majority of rat isolates did not. Autoagglutination activity, and ability to bind to mouse collagen type IV and mouse fibroblast cells, was significantly higher in YadA-positive than YadA-negative strains. To conclude, we identified a large number of candidate genes predicted to influence [P.] pneumotropica pathogenesis.© FEMS 2016. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.


July 7, 2019

Genomics-inspired discovery of three antibacterial active metabolites, aurantinins B, C, and D from compost-associated Bacillus subtilis fmb60.

Fmb60 is a wild-type Bacillus subtilis isolated from compost with significant broad-spectrum antimicrobial activities. Two novel PKS clusters were recognized in the genome sequence of fmb60, and then three polyene antibiotics, aurantinins B, C, and D, 1-3, were obtained by bioactivity-guided isolation from the fermentation of fmb60. The structures of aurantinins B-D were elucidated by LC-HRMS and NMR data analysis. Aurantinins C and D were identified as new antimicrobial compounds. The three aurantinins showed significant activity against multidrug-resistant Staphylococcus aureus and Clostridium sporogenes. However, aurantinins B-D did not exhibit any cytotoxicity (IC50 > 100 µg/mL) against LO2 and Caco2 cell lines by MTT assay. Furthermore, using S. aureus as a model bacterium to explore the antibacterial mechanism of aurantinins B-D, it was revealed that the bactericidal activity of aurantinins B-D was related to their ability to disrupt the cell membrane.


July 7, 2019

Genomic sequencing-based mutational enrichment analysis identifies motility genes in a genetically intractable gut microbe.

A major roadblock to understanding how microbes in the gastrointestinal tract colonize and influence the physiology of their hosts is our inability to genetically manipulate new bacterial species and experimentally assess the function of their genes. We describe the application of population-based genomic sequencing after chemical mutagenesis to map bacterial genes responsible for motility in Exiguobacterium acetylicum, a representative intestinal Firmicutes bacterium that is intractable to molecular genetic manipulation. We derived strong associations between mutations in 57 E. acetylicum genes and impaired motility. Surprisingly, less than half of these genes were annotated as motility-related based on sequence homologies. We confirmed the genetic link between individual mutations and loss of motility for several of these genes by performing a large-scale analysis of spontaneous suppressor mutations. In the process, we reannotated genes belonging to a broad family of diguanylate cyclases and phosphodiesterases to highlight their specific role in motility and assigned functions to uncharacterized genes. Furthermore, we generated isogenic strains that allowed us to establish that Exiguobacterium motility is important for the colonization of its vertebrate host. These results indicate that genetic dissection of a complex trait, functional annotation of new genes, and the generation of mutant strains to define the role of genes in complex environments can be accomplished in bacteria without the development of species-specific molecular genetic tools.


July 7, 2019

DNA extraction protocols for whole-genome sequencing in marine organisms.

The marine environment harbors a large proportion of the total biodiversity on this planet, including the majority of the earths’ different phyla and classes. Studying the genomes of marine organisms can bring interesting insights into genome evolution. Today, almost all marine organismal groups are understudied with respect to their genomes. One potential reason is that extraction of high-quality DNA in sufficient amounts is challenging for many marine species. This is due to high polysaccharide content, polyphenols and other secondary metabolites that will inhibit downstream DNA library preparations. Consequently, protocols developed for vertebrates and plants do not always perform well for invertebrates and algae. In addition, many marine species have large population sizes and, as a consequence, highly variable genomes. Thus, to facilitate the sequence read assembly process during genome sequencing, it is desirable to obtain enough DNA from a single individual, which is a challenge in many species of invertebrates and algae. Here, we present DNA extraction protocols for seven marine species (four invertebrates, two algae, and a marine yeast), optimized to provide sufficient DNA quality and yield for de novo genome sequencing projects.


July 7, 2019

Serinibacter

The genus Serinibacter belongs, based on the phylogenetic analysis of the nearly full-length 16S rRNA gene, to the Beutenbergiaceae together with the genera Beutenbergia, Salana, and Miniimonas. The two species of the genus Serinibacter shared 99.6% 16S rRNA gene sequence similarity but low DNA DNA relatedness. Cells are irregular rods, Gram-stain positive, not acid-fast. Endospores are not formed. Nonmotile. Aerobic to anaerobic. Oxidase-negative, catalase-positive. The peptidoglycan type is A4a with an l-Ser residue at position 1 of the peptide subunit. The acyl type is acetyl. The major cell-wall sugar is galactose. The predominant menaquinone is MK-8(H4). The major polar lipids consist of phosphatidylglycerol, diphosphatidylglycerol, phosphatidylinositol, and unidentified phospholipids. Phosphatidylethanolamine is absent. The cellular fatty acid profile is dominated by the occurrence of iso- and anteiso-branched-chain acids. Mycolic acids are absent. The genomic G+C content is 70.7 to 72.8 mol%.


July 7, 2019

Complete genome sequence and transcriptome regulation of the pentose utilizing yeast Sugiyamaella lignohabitans.

Efficient conversion of hexoses and pentoses into value-added chemicals represents one core step for establishing economically feasible biorefineries from lignocellulosic material. While extensive research efforts have recently provided advances in the overall process performance, the quest for new microbial cell factories and novel enzymes sources is still open. As demonstrated recently the yeast Sugiyamaella lignohabitans (formerly Candida lignohabitans) represents a promising microbial cell factory for the production of organic acids from lignocellulosic hydrolysates. We report here the de novo genome assembly of S. lignohabitans using the Single Molecule Real-Time platform, with gene prediction refined by using RNA-seq. The sequencing revealed a 15.98 Mb genome, subdivided into four chromosomes. By phylogenetic analysis, Blastobotrys (Arxula) adeninivorans and Yarrowia lipolytica were found to be close relatives of S. lignohabitans Differential gene expression was evaluated in typical growth conditions on glucose and xylose and allowed a first insight into the transcriptional response of S. lignohabitans to different carbon sources and different oxygenation conditions. Novel sequences for enzymes and transporters involved in the central carbon metabolism, and therefore of potential biotechnological interest, were identified. These data open the way for a better understanding of the metabolism of S. lignohabitans and provide resources for further metabolic engineering.© FEMS 2016. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.


July 7, 2019

D1FHS, the type strain of the ammonia-oxidizing bacterium Nitrosococcus wardiae spec. nov.: enrichment, isolation, phylogenetic, and growth physiological characterization.

An ammonia-oxidizing bacterium, strain D1FHS, was enriched into pure culture from a sediment sample retrieved in Jiaozhou Bay, a hyper-eutrophic semi-closed water body hosting the metropolitan area of Qingdao, China. Based on initial 16S rRNA gene sequence analysis, strain D1FHS was classified in the genus Nitrosococcus, family Chromatiaceae, order Chromatiales, class Gammaproteobacteria; the 16S rRNA gene sequence with highest level of identity to that of D1FHS was obtained from Nitrosococcus halophilus Nc4(T). The average nucleotide identity between the genomes of strain D1FHS and N. halophilus strain Nc4 is 89.5%. Known species in the genus Nitrosococcus are obligate aerobic chemolithotrophic ammonia-oxidizing bacteria adapted to and restricted to marine environments. The optimum growth (maximum nitrite production) conditions for D1FHS in a minimal salts medium are: 50 mM ammonium and 700 mM NaCl at pH of 7.5 to 8.0 and at 37°C in dark. Because pertinent conditions for other studied Nitrosococcus spp. are 100-200 mM ammonium and <700 mM NaCl at pH of 7.5 to 8.0 and at 28-32°C, D1FHS is physiologically distinct from other Nitrosococcus spp. in terms of substrate, salt, and thermal tolerance.


July 7, 2019

Genomic and transcriptomic analyses reveal the characterization of a crude oil degrading bacterial strain: Pedobacter steynii DX4

Pedobacter steynii DX4, isolated from Qinghai-Tibet plateau, exhibited capability to effectively degrade crude oil at low temperature. In order to illustrate its biodegradation mechanism, whole genome and transcriptome sequencing were performed. It is the first genome of crude oil degrading strain in Pedobacter genus. The P. steynii DX4 genome consists of a single circular chromosome of 6,581,659 bp with an average G+C content of 41.31% and encodes 5464 genes in all. GIs were predicted and comparison analysis was performed between relative species. Genome annotation predicted several hydrocarbon oxygenases, chemotaxis proteins and biosurfactant synthetases. The transcriptional sequences profiled a lot of differently expressed genes when cells respectively grown on crude oil and pyruvate mediums. Crude oil significantly stimulated the expression of the genes related to the hydrocarbon oxidation and resparitory chain. Genomic and transcriptomic analysis of P. steynii DX4 have revealed the machenism of the crude oil degradation in Pedobacter steynii DX4 and provided us with valuable knowledge base to make effective strategy to mitigate the ecological damage caused by crude oil pollution.


July 7, 2019

Efficient, cost-effective, high-throughput, Multilocus Sequencing Typing (MLST) method, NGMLST, and the analytical software program MLSTEZ.

Multilocus sequence typing (MLST) has become the preferred method for genotyping many biological species. It can be used to identify major phylogenetic clades, molecular groups, or subpopulations of a species, as well as individual strains or clones. However, conventional MLST is costly and time consuming, which limits its power for genotyping large numbers of samples. Here, we describe a new MLST method that uses next-generation sequencing, a multiplexing protocol, and appropriate analytical software to provide accurate, rapid, and economical MLST genotyping of 96 or more isolates in a single assay.


Talk with an expert

If you have a question, need to check the status of an order, or are interested in purchasing an instrument, we're here to help.