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July 7, 2019

Correction of persistent errors in arabidopsis reference mitochondrial genomes.

Arabidopsis thaliana remains the foremost model system for plant genetics and genomics, and researchers rely on the accuracy of its genomic resources. The first completely sequenced angiosperm mitochondrial genome was obtained from Arabidopsis C24 (Unseld et al., 1997), and more recent efforts have produced additional Arabidopsis reference genomes, including one for Col-0, the most widely used ecotype in plant genetic research (Davila et al., 2011). These studies were based on older DNA sequencing methods, making them subject to errors associated with lower levels of sequencing coverage or the extremely short read lengths produced by early-generation Illumina technologies. Indeed, although the more recently published Arabidopsis mitochondrial reference genome sequences made substantial progress in improving upon earlier versions, they still have high error rates. By comparing publicly available Illumina sequence data to the Arabidopsis Col-0 reference genome, we found that it contains a sequence error every 2.4 kb on average, including 57 single-nucleotide polymorphisms (SNPs), 96 indels (up to 901 bp in size), and a large repeat-mediated rearrangement. Most of these errors appear to have been carried over from the original Arabidopsis mitochondrial genome sequence by reference-based assembly approaches, which has misled subsequent studies of plant mitochondrial mutation and molecular evolution by giving the false impression that the errors are naturally occurring variants present in multiple ecotypes. Building on the progress made by previous researchers, we provide a corrected reference sequence that we hope will serve as a useful community resource for future investigations in the field of plant mitochondrial genetics.


July 7, 2019

FusorSV: an algorithm for optimally combining data from multiple structural variation detection methods.

Comprehensive and accurate identification of structural variations (SVs) from next generation sequencing data remains a major challenge. We develop FusorSV, which uses a data mining approach to assess performance and merge callsets from an ensemble of SV-calling algorithms. It includes a fusion model built using analysis of 27 deep-coverage human genomes from the 1000 Genomes Project. We identify 843 novel SV calls that were not reported by the 1000 Genomes Project for these 27 samples. Experimental validation of a subset of these calls yields a validation rate of 86.7%. FusorSV is available at https://github.com/TheJacksonLaboratory/SVE .


July 7, 2019

Complete genome sequence of Colwellia hornerae PAMC 20917, a cold-active enzyme-producing bacterium isolated from the Arctic Ocean sediment

Psychrophilic bacteria are considered a source of cold-active enzymes that can be used in industrial applications. The Arctic bacterium Colwellia hornerae PAMC 20917 strain has been isolated from the offshore sediment near Ny-Ålesund, Svalbard. The optimal growth temperature of the strain was 10?°C on marine agar. The cell lysate showed alkaline phosphatase activities. Analysis of the enzymatic properties showed that the alkaline phosphatase was cold-active and thermolabile. To explore useful cold-active industrial enzymes further, the entire genome of the PAMC 20917 strain was sequenced. The genome of the strain contained 4,684,314 nucleotides, with 37.87% G+C content. Genome mining analysis revealed that, in the complete genome sequence, three proteins were annotated as alkaline phosphatases. The genome of PAMC 20917 encodes cold shock proteins and an ice-binding protein that inhibits the growth of ice, allowing the bacterium to adapt to cold environments. This genome information may be useful for understanding mechanisms of adaptation to cold stress.


July 7, 2019

Phylogeny of dermatophytes with genomic character evaluation of clinically distinct Trichophyton rubrum and T. áviolaceum

Trichophyton rubrum and T. violaceum are prevalent agents of human dermatophyte infections, the former being found on glabrous skin and nail, while the latter is confined to the scalp. The two species are phenotypically different but are highly similar phylogenetically. The taxonomy of dermatophytes is currently being reconsidered on the basis of molecular phylogeny. Molecular species definitions do not always coincide with existing concepts which are guided by ecological and clinical principles. In this article, we aim to bring phylogenetic and ecological data together in an attempt to develop new species concepts for anthropophilic dermatophytes. Focus is on the T. rubrum complex with analysis of rDNA ITS supplemented with LSU, TUB2, TEF3 and ribosomal protein L10 gene sequences. In order to explore genomic differences between T. rubrum and T. violaceum, one representative for both species was whole genome sequenced. Draft sequences were compared with currently available dermatophyte genomes. Potential virulence factors of adhesins and secreted proteases were predicted and compared phylogenetically. General phylogeny showed clear gaps between geophilic species of Arthroderma, but multilocus distances between species were often very small in the derived anthropophilic and zoophilic genus Trichophyton. Significant genome conservation between T. rubrum and T. violaceum was observed, with a high similarity at the nucleic acid level of 99.38 % identity. Trichophyton violaceum contains more paralogs than T. rubrum. About 30 adhesion genes were predicted among dermatophytes. Seventeen adhesins were common between T. rubrum and T. violaceum, while four were specific for the former and eight for the latter. Phylogenetic analysis of secreted proteases reveals considerable expansion and conservation among the analyzed species. Multilocus phylogeny and genome comparison of T. rubrum and T. violaceum underlined their close affinity. The possibility that they represent a single species exhibiting different phenotypes due to different localizations on the human body is discussed.


July 7, 2019

Probiotic genomes: Sequencing and annotation in the past decade

Probiotics are live microorganisms that confer many health benefits to the host when administered in adequate quantities. These health benefits have garnered much attention towards Probiotics and have given an impetus to their use as dietary supplements for the improvement of general health and as adjuvant therapies for certain diseases. The increased demand for probiotic products in the recent times has provided the thrust for probiotic research applied to several areas of human biology. The advances in genomic technologies have further facilitated the sequencing of the genomes of such probiotic bacteria and their genomic analyses to identify the genes that endow the beneficial effects they are known to exert. This work reviews the application of genomic strategies on probiotic bacteria, while providing the details about the probiotic strains whose genome sequences are available. It also consolidates the Genomic tools used for the sequencing, assembly and annotation of the probiotic genes and how it has helped in comparative genomic analyses.


July 7, 2019

Emerging mechanisms of antimicrobial resistance in bacteria and fungi: advances in the era of genomics.

Bacteria and fungi continue to develop new ways to adapt and survive the lethal or biostatic effects of antimicrobials through myriad mechanisms. Novel antibiotic resistance genes such as lsa(C), erm(44), VCC-1, mcr-1, mcr-2, mcr-3, mcr-4, bla KLUC-3 and bla KLUC-4 were discovered through comparative genomics and further functional studies. As well, mutations in genes that hitherto were unknown to confer resistance to antimicrobials, such as trm, PP2C, rpsJ, HSC82, FKS2 and Rv2887, were shown by genomics and transcomplementation assays to mediate antimicrobial resistance in Acinetobacter baumannii, Staphylococcus aureus, Enterococcus faecium, Saccharomyces cerevisae, Candida glabrata and Mycobacterium tuberculosis, respectively. Thus, genomics, transcriptomics and metagenomics, coupled with functional studies are the future of antimicrobial resistance research and novel drug discovery or design.


July 7, 2019

Improved draft genome sequence of a monoteliosporic culture of the karnal bunt (Tilletia indica) pathogen of wheat.

Karnal bunt of wheat is an internationally quarantined fungal pathogen disease caused by Tilletia indica and affects the international commercial seed trade of wheat. We announce here the first improved draft genome assembly of a monoteliosporic culture of the Tilletia indica fungus, consisting of 787 scaffolds with an approximate total genome size of 31.83 Mbp, which is more accurate and near to complete than the previous version. Copyright © 2018 Kumar et al.


July 7, 2019

Implementation of pharmacogenomics in everyday clinical settings.

Currently, germline pharmacogenomics (PGx) is successfully implemented within certain specialties in clinical care. With the integration of PGx in pharmacotherapy multiple stakeholders are involved, which are identified in this chapter. Clinically relevant pharmacogenes with their related PGx test are discussed, along with diagnostic test criteria to guide clinicians and policy makers in PGx test selection. The chapter further reviews the similarities and the differences between the guidelines of the Dutch Pharmacogenetics Working Group and the Clinical Pharmacogenetics Implementation Consortium which both support healthcare professionals in understanding PGx test results and help guiding pharmacotherapy by providing evidence-based dosing recommendations. Finally, clinical studies which provide scientific evidence and information on cost-effectiveness supporting clinical implementation of PGx in clinical care are discussed along with the remaining barriers for adoption of PGx testing by healthcare professionals.© 2018 Elsevier Inc. All rights reserved.


July 7, 2019

Genomic characterization of methylotrophy of Oharaeibacter diazotrophicus strain SM30T.

Oharaeibacter diazotrophicus strain SM30T, isolated from rice rhizosphere, is an aerobic, facultative lanthanide (Ln3+)-utilizing methylotroph and diazotroph that belongs to the Methylocystaceae family. In this research, the complete genome sequence of strain SM30T was determined, and its methylotrophy modules were characterized. The genome consists of one chromosome and two plasmids, comprising a total of 5,004,097 bp, and the GC content was 71.6 mol%. A total of 4497 CDSs, 67 tRNA, and 9 rRNA were encoded. Typical alpha-proteobacterial methylotrophy genes were found: pyrroloquinoline quinone (PQQ)-dependent methanol dehydrogenase (MDH) (mxaF and xoxF1-4), methylotrophy regulatory proteins (mxbDM and mxcQE), PQQ synthesis, H4F pathway, H4MPT pathway, formate oxidation, serine cycle, and ethylmalonyl-CoA pathway. SDS-PAGE and subsequent LC-MS analysis, and qPCR analysis revealed that MxaF and XoxF1 were the dominant MDH in the absence or presence of lanthanum (La3+), respectively. The growth of MDH gene-deletion mutants on alcohols and qPCR results indicated that mxaF and xoxF1 are also involved in ethanol and propanol oxidation, xoxF2 participates in methanol oxidation in the presence of La3+, while xoxF3 was associated with methanol and ethanol oxidation in the absence of La3+, implying that XoxF3 is a calcium (Ca2+)-binding XoxF. Four Ln3+ such as La3+, cerium (Ce3+), praseodymium (Pr3+), and neodymium (Nd3+) served as cofactors for XoxF1 by supporting ?mxaF growth on methanol. Some heavier lanthanides inhibited growth of SM30 on methanol. This study contributes to the understanding of the function of various XoxF-type MDHs and their roles in methylotrophs. Copyright © 2018 The Society for Biotechnology, Japan. Published by Elsevier B.V. All rights reserved.


July 7, 2019

Spalter: A meta machine learning approach to distinguish true DNA variants from sequencing artefacts

Being able to distinguish between true DNA variants and technical sequencing artefacts is a fundamental task in whole genome, exome or targeted gene analysis. Variant calling tools provide diagnostic parameters, such as strand bias or an aggregated overall quality for each called variant, to help users make an informed choice about which variants to accept or discard. Having several such quality indicators poses a problem for the users of variant callers because they need to set or adjust thresholds for each such indicator. Alternatively, machine learning methods can be used to train a classifier based on these indicators. This approach needs large sets of labeled training data, which is not easily available. The new approach presented here relies on the idea that a true DNA variant exists independently of technical features of the read in which it appears (e.g. base quality, strand, position in the read). Therefore the nucleotide separability classification problem – predicting the nucleotide state of each read in a given pileup based on technical features only – should be near impossible to solve for true variants. Nucleotide separability, i.e. achievable classification accuracy, can either be used to distinguish between true variants and technical artefacts directly, using a thresholding approach, or it can be used as a meta-feature to train a separability-based classifier. This article explores both possibilities with promising results, showing accuracies around 90%.


July 7, 2019

STRetch: detecting and discovering pathogenic short tandem repeat expansions.

Short tandem repeat (STR) expansions have been identified as the causal DNA mutation in dozens of Mendelian diseases. Most existing tools for detecting STR variation with short reads do so within the read length and so are unable to detect the majority of pathogenic expansions. Here we present STRetch, a new genome-wide method to scan for STR expansions at all loci across the human genome. We demonstrate the use of STRetch for detecting STR expansions using short-read whole-genome sequencing data at known pathogenic loci as well as novel STR loci. STRetch is open source software, available from github.com/Oshlack/STRetch .


July 7, 2019

Recent advances on detection and characterization of fruit tree viruses using high-throughput sequencing technologies.

Perennial crops, such as fruit trees, are infected by many viruses, which are transmitted through vegetative propagation and grafting of infected plant material. Some of these pathogens cause severe crop losses and often reduce the productive life of the orchards. Detection and characterization of these agents in fruit trees is challenging, however, during the last years, the wide application of high-throughput sequencing (HTS) technologies has significantly facilitated this task. In this review, we present recent advances in the discovery, detection, and characterization of fruit tree viruses and virus-like agents accomplished by HTS approaches. A high number of new viruses have been described in the last 5 years, some of them exhibiting novel genomic features that have led to the proposal of the creation of new genera, and the revision of the current virus taxonomy status. Interestingly, several of the newly identified viruses belong to virus genera previously unknown to infect fruit tree species (e.g., Fabavirus, Luteovirus) a fact that challenges our perspective of plant viruses in general. Finally, applied methodologies, including the use of different molecules as templates, as well as advantages and disadvantages and future directions of HTS in fruit tree virology are discussed.


July 7, 2019

Evolutionary emergence of drug resistance in Candida opportunistic pathogens.

Fungal infections, such as candidiasis caused by Candida, pose a problem of growing medical concern. In developed countries, the incidence of Candida infections is increasing due to the higher survival of susceptible populations, such as immunocompromised patients or the elderly. Existing treatment options are limited to few antifungal drug families with efficacies that vary depending on the infecting species. In this context, the emergence and spread of resistant Candida isolates are being increasingly reported. Understanding how resistance can evolve within naturally susceptible species is key to developing novel, more effective treatment strategies. However, in contrast to the situation of antibiotic resistance in bacteria, few studies have focused on the evolutionary mechanisms leading to drug resistance in fungal species. In this review, we will survey and discuss current knowledge on the genetic bases of resistance to antifungal drugs in Candida opportunistic pathogens. We will do so from an evolutionary genomics perspective, focusing on the possible evolutionary paths that may lead to the emergence and selection of the resistant phenotype. Finally, we will discuss the potential of future studies enabled by current developments in sequencing technologies, in vitro evolution approaches, and the analysis of serial clinical isolates.


July 7, 2019

DNA sequences and predicted protein structures of prot6E and sefA genes for Salmonella ser. Enteritidis detection

Genes prot6E and sefA are used as targets for detection of Salmonella enterica subsp. enterica serovar Enteritidis (Salmonella ser. Enteritidis). We investigated variations in these genes across 64 different Salmonella ser. Enteritidis strains isolated from egg and chicken samples, then used Whole Genome Sequence (WGS) data to model the structures of their protein products. Isolates were sequenced using Illumina technologies. Based on the resulting phylogenetic tree, our isolates clustered in 2 distinct clades. All isolates carried prot6E and sefA. Comparative genomic analyses indicated two non-synonymous mutations (Glycine ? Serine and Valine ? Isoleucine) of prot6E in 11 isolates (9 egg samples, 2 chicken samples). However, SWISS-MODEL was unable to clearly model the protein structure of these two mutations. We identified one non-synonymous mutation (Valine ? Glutamic Acid) in the sefA gene in 4 isolates from egg samples. The model for the protein structure of this mutant gene was clearly different from that of the other isolates studied herein. Circular maps of plasmid genomes from two PacBio platform-sequenced Salmonella ser. Enteritidis isolates revealed prot6E gene was located on the tail of the plasmid. Based on the biosynthesis of amino acids – Reference pathway in the KEGG pathway Database, the transition of amino acid from sefA Var. was a transversion from essential amino acid to non-essential amino acid, while that of prot6E Var.1 happened between the conditionally non-essential amino acid, and prot6E Var. 2 occurred between essential amino acids. Properties of these mutated amino acids, such as side-chain polarity or charge, may contribute to the occurrence and rate of mutations in prot6E and sefA. These insights can be used to improve detection methods for Salmonella ser. Enteritidis.


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