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At least 19 recordsLinked to original sources

Core genome and whole genome multi-locus sequence typing of Cronobacter isolates.

UNLABELLED: Cronobacter species, especially C. sakazakii and C. malonaticus, are opportunistic pathogens that are linked to severe infections in infants with high case fatality rates. In this study, we investigated whole genome sequencing (WGS) analysis approaches, specifically 7-gene multi-locus sequence typing (7-gene MLST), core genome MLST (cgMLST), and whole genome MLST (wgMLST) to subtype Cronobacter isolates. We analyzed a comprehensive set of 743 Cronobacter isolates derived from clinical, food, and environmental sources. We also evaluated high-quality single nucleotide polymorphism (hqSNP), cgMLST, and wgMLST to cluster epidemiologically related and differentiate sporadic C. sakazakii isolates. Our results indicate that both cgMLST and wgMLST accurately identify closely related isolates and are consistent with epidemiological findings. The allele-based analyses were also comparable with hqSNP analyses, the current gold standard. Our workflow also outputs 7-gene MLST allele calls, Cronobacter sequence types, and clonal complexes, which may be useful for historic comparisons during outbreak investigations. Following the recent classification of Cronobacter infections as nationally notifiable in the United States, our findings demonstrate the efficacy of WGS-based approaches within the PulseNet framework to improve outbreak detection and response strategies for Cronobacter. IMPORTANCE: Cronobacter species, specifically C. sakazakii and C. malonaticus, are opportunistic pathogens linked to severe infections in infants with high case fatality rates. This study highlights the critical importance of advanced molecular techniques in public health surveillance, using whole genome sequencing (WGS) methodologies such as multi-locus sequence typing (7-gene MLST), core genome MLST (cgMLST), and whole genome MLST (wgMLST). The validation of these WGS-based approaches within the PulseNet framework is timely, especially following the recent classification of Cronobacter infections as nationally notifiable in the United States. WGS methods not only enhance outbreak detection but can also inform public health guidance aimed at preventing infections and reducing mortality in vulnerable populations, especially infants. Our research supports implementation of cgMLST as a standardized approach for routine PulseNet surveillance of Cronobacter, with wgMLST and hqSNP analyses providing additional discriminatory power for outbreak investigations and high resolution phylogenetic analysis.

Multilocus Sequence Typing↗

Accuracy of multiplexed Illumina platform-based single-nucleotide polymorphism genotyping compared between genomic and whole genome amplified DNA collected from multiple sources.

Association studies designed to identify the genetic determinants underlying complex disease increasingly require sustainable high-quality DNA resources for large-scale single-nucleotide polymorphism (SNP) genotyping. Recent studies have shown that genomic DNA (gDNA) suitable for SNP genotyping can be obtained from buccal cells and from dried blood spots on Guthrie cards. Further, successful SNP genotyping has been done using the reaction product of multiple displacement amplification of gDNA. We evaluated genotype consistency on the Illumina genotyping platform for 717 to 1,744 SNP loci between replicate samples of gDNA and whole genome amplified DNA (wgaDNA) from a variety of sources. Nine healthy adults provided peripheral blood via venipuncture and buccal cells by mouth rinse. DNA was also obtained from urothelial cells in urine samples from five of the nine subjects. gDNA was extracted from all samples, wgaDNA was generated from each gDNA, and all samples were genotyped. To assess SNP genotyping accuracy of DNA obtained from dried blood spots, gDNA was extracted, amplified, and genotyped from peripheral blood samples and paired Guthrie card samples were obtained from eight childhood leukemia patients. Call rates and replicate concordances for all sample types, regardless of amplification, were >97%, with most sample types having call rates and replicate concordances >99%. Using the gDNA from blood samples as the reference for concordances calculated for all other sample types, we observed concordances >98% regardless of sample type or amplification. We conclude that highly multiplexed Illumina genotyping may be done on gDNA and wgaDNA obtained from whole blood, buccal samples, dried blood spots on Guthrie cards, and possibly even urine samples, with minimal misclassification.

Aged↗

Generating a synthetic genome by whole genome assembly: phiX174 bacteriophage from synthetic oligonucleotides.

We have improved upon the methodology and dramatically shortened the time required for accurate assembly of 5- to 6-kb segments of DNA from synthetic oligonucleotides. As a test of this methodology, we have established conditions for the rapid (14-day) assembly of the complete infectious genome of bacteriophage X174 (5386 bp) from a single pool of chemically synthesized oligonucleotides. The procedure involves three key steps: (i). gel purification of pooled oligonucleotides to reduce contamination with molecules of incorrect chain length, (ii). ligation of the oligonucleotides under stringent annealing conditions (55 degrees C) to select against annealing of molecules with incorrect sequences, and (iii). assembly of ligation products into full-length genomes by polymerase cycling assembly, a nonexponential reaction in which each terminal oligonucleotide can be extended only once to produce a full-length molecule. We observed a discrete band of full-length assemblies upon gel analysis of the polymerase cycling assembly product, without any PCR amplification. PCR amplification was then used to obtain larger amounts of pure full-length genomes for circularization and infectivity measurements. The synthetic DNA had a lower infectivity than natural DNA, indicating approximately one lethal error per 500 bp. However, fully infectious X174 virions were recovered after electroporation into Escherichia coli. Sequence analysis of several infectious isolates verified the accuracy of these synthetic genomes. One such isolate had exactly the intended sequence. We propose to assemble larger genomes by joining separately assembled 5- to 6-kb segments; approximately 60 such segments would be required for a minimal cellular genome.

Bacteriophage phi X 174↗

Conservation genomics: applying whole genome studies to species conservation efforts.

Studies of complete genomes are leading to a new understanding of the biology of mammals and providing ongoing insights into the fundamental aspects of the organization and evolution of biological systems. Comparison of primate genomes can identify aspects of their organization, regulation and function that appeared during the primate radiation, but without comparison to more evolutionarily distant mammals and other vertebrates, highly conserved aspects of genome architecture will not be accurately identified nor will the lineage-specific changes be identified as such. Many species of primates face risks of extinction; yet the knowledge of their genomes will provide a deeper understanding of primate adaptations, human origins, and provide the framework for discoveries anticipated to improve human medicine. The great apes, the closest relatives of the human species, are among the most vulnerable and most important for human medical studies. However, apes are not the only species whose genomic information will enrich humankind. Comparative genomic studies of endangered species can benefit conservation efforts on their behalf. Increased knowledge of genome makeup and variation in endangered species finds conservation application in population evaluation monitoring and management, understanding phylozoogeography, can enhance wildlife health management, identify risk factors for genetic disorders, and provide insights into demographic management of small populations in the wild and in captivity.

Animals↗

Reorganization of adjacent gene relationships in yeast genomes by whole-genome duplication and gene deletion.

In Saccharomyces, an ancient whole-genome duplication (WGD) and widespread duplicate gene deletion resulted in extensive reorganization of adjacent gene relationships. We have studied the evolution of adjacent gene pairs' identity, orientation, and spacing following whole-genome duplication and deletion (WGD-D) using comparative genomic analyses and simulations. Surveying adjacent gene organization across the Saccharomyces species complex, we find a genome-wide bias toward divergently and convergently transcribed gene pairs in all species but a reduction in this bias in the species that underwent WGD-D. Among neutral models of WGD-D, only single-gene deletion can produce the appropriate reduction in orientation bias and recapitulate the pattern of short, highly dispersed deletions we observe in Saccharomyces cerevisiae. To characterize the dynamics of WGD-D, we trace the conservation and creation of adjacent gene pairs along the S. cerevisiae lineage. We find that newly created adjacencies have a tandem orientation bias, while adjacencies conserved from prior to WGD-D have the same divergent-convergent bias as found in the species that diverged before WGD. We also find that adjacent gene pairs produced by WGD-D gained greater intergenic spacing but that this is reduced in the older adjacencies. Given this, and the preponderance of short deleted blocks, we argue that the deletion phase of WGD-D occurred primarily by small inactivating mutations followed by numerous small deletions. Newly created adjacent gene pairs also have an initial increase in mean log2 expression ratios and maximal expression levels, suggesting that increased intergenic spacing caused a genome-wide reduction in transcriptional interference.

Evolution, Molecular↗

Assessment of whole genome amplification-induced bias through high-throughput, massively parallel whole genome sequencing.

BACKGROUND: Whole genome amplification is an increasingly common technique through which minute amounts of DNA can be multiplied to generate quantities suitable for genetic testing and analysis. Questions of amplification-induced error and template bias generated by these methods have previously been addressed through either small scale (SNPs) or large scale (CGH array, FISH) methodologies. Here we utilized whole genome sequencing to assess amplification-induced bias in both coding and non-coding regions of two bacterial genomes. Halobacterium species NRC-1 DNA and Campylobacter jejuni were amplified by several common, commercially available protocols: multiple displacement amplification, primer extension pre-amplification and degenerate oligonucleotide primed PCR. The amplification-induced bias of each method was assessed by sequencing both genomes in their entirety using the 454 Sequencing System technology and comparing the results with those obtained from unamplified controls. RESULTS: All amplification methodologies induced statistically significant bias relative to the unamplified control. For the Halobacterium species NRC-1 genome, assessed at 100 base resolution, the D-statistics from GenomiPhi-amplified material were 119 times greater than those from unamplified material, 164.0 times greater for Repli-G, 165.0 times greater for PEP-PCR and 252.0 times greater than the unamplified controls for DOP-PCR. For Campylobacter jejuni, also analyzed at 100 base resolution, the D-statistics from GenomiPhi-amplified material were 15 times greater than those from unamplified material, 19.8 times greater for Repli-G, 61.8 times greater for PEP-PCR and 220.5 times greater than the unamplified controls for DOP-PCR. CONCLUSION: Of the amplification methodologies examined in this paper, the multiple displacement amplification products generated the least bias, and produced significantly higher yields of amplified DNA.

Bias↗

WxS-QC-a quality control pipeline for human germline short-variant Whole-Genome and Whole-Exome cohorts for population-scale analyses.

SUMMARY: Whole-exome (WES) and whole-genome (WGS) sequencing are rapidly becoming preferred methods for population-scale analysis of the human genetic landscape. However, there are currently no standardized quality control (QC) pipelines for human WES and WGS datasets. In this paper, we present WxS-QC, a powerful, scalable, and convenient pipeline for the QC of human germline short-variant WGS and WES cohorts for population-scale analyses. Our pipeline is suitable for both rare-variant discovery and common-variant association studies. It is based on deeply refactored gnomAD v3 and v4 quality control pipelines, contains several methods we have developed de novo, and is aligned with current best practices in WGS/WES germline cohort QC. We provide all methods in a single codebase, aligned to work together and controlled via a single YAML config, with automatic export of resulting graphs and summary tables, excellent performance and scalability, and comprehensive documentation. The pipeline can run in any UNIX-like environment and can efficiently process cohorts of up to 200 000 whole-exome samples, with the potential to handle bigger datasets. AVAILABILITY AND IMPLEMENTATION: The pipeline code is written in Python using the Hail library and is freely available under the BSD-3 license here: https://github.com/wtsi-hgi/wxs-qc. The detailed description of the pipeline is available in the pipeline documentation: https://github.com/wtsi-hgi/wxs-qc/blob/main/README.md. We also provide an open dataset with all required metadata, which is available at https://wxs-qc-data.cog.sanger.ac.uk/wxs-qc_public_dataset_v3.tar. An example of test dataset analysis is available in the supplementary materials.

Humans↗

Wide-cross whole-genome radiation hybrid mapping of the cotton (Gossypium barbadense L.) genome.

Whole-genome radiation hybrid mapping has been applied extensively to human and certain animal species, but little to plants. We recently demonstrated an alternative mapping approach in cotton (Gossypium hirsutum L.), based on segmentation by 5-krad gamma-irradiation and derivation of wide-cross whole-genome radiation hybrids (WWRHs). However, limitations observed at the 5-krad level suggested that higher doses might be advantageous. Here, we describe the development of an improved second-generation WWRH panel after higher dose irradiation and compare the resulting map to the 5-krad map. The genome of G. hirsutum (n = 26) was used to rescue the radiation-segmented genome of G. barbadense (n = 26) introduced via 8- and 12-krad gamma-irradiated pollen. Viable seedlings were not recovered after 12-krad irradiation, but 8-krad irradiation permitted plant recovery and construction of a 92-member WWRH mapping panel. Assessment of 31 SSR marker loci from four chromosomes revealed that the 8-krad panel has a marker retention frequency of ca. 76%, which is approximately equivalent to the rate of loss in a low-dose animal radiation hybrid panel. Retention frequencies of loci did not depart significantly from independence when compared between the A and D subgenomes, or according to positions along individual chromosomes. WWRH maps of chromosomes 10 and 17 were generated by the maximum likelihood RHMAP program and the general retention model. The resulting maps bolster evidence that WWRH mapping complements traditional linkage mapping and works in cotton, and that the 8-krad panel complements the 5-krad panel by offering higher rates of chromosome breakages, lower marker retention frequency, and more retention patterns.

Chromosome Mapping↗

Characterization of a 5.3 Mb deletion in 15q14 by comparative genomic hybridization using a whole genome "tiling path" BAC array in a girl with heart defect, cleft palate, and developmental delay.

High-resolution array CGH utilizing sets of overlapping BAC and PAC clones ("tiling path") covering the whole genome is a powerful novel tool for fast detection of submicroscopic chromosome deletions or duplications. We describe the successful application of a submegabase resolution whole genome "tiling path" BAC array to confirm and characterize a de novo interstitial deletion of chromosome 15. The deletion has a size of 5.3 Mb and is located within chromosome band 15q14, distal to the Prader-Willi/Angelman region. The affected girl had a heart defect, cleft palate, recurrent infections, and developmental delay. In contrast to GTG banding, array CGH determined the exact number of deleted genes and thus allowed the identification of candidate genes for cleft palate (GREM1, CX36, MEIS2), congenital heart defect (ACTC, GREM1, CX36, MEIS2), and mental retardation (ARHGAP11A, CHRNA7, CHRM5).

Adult↗

Whole-genome shotgun optical mapping of Rhodobacter sphaeroides strain 2.4.1 and its use for whole-genome shotgun sequence assembly.

Rhodobacter sphaeroides 2.4.1 is a facultative photoheterotrophic bacterium with tremendous metabolic diversity, which has significantly contributed to our understanding of the molecular genetics of photosynthesis, photoheterotrophy, nitrogen fixation, hydrogen metabolism, carbon dioxide fixation, taxis, and tetrapyrrole biosynthesis. To further understand this remarkable bacterium, and to accelerate an ongoing sequencing project, two whole-genome restriction maps (EcoRI and HindIII) of R. sphaeroides strain 2.4.1 were constructed using shotgun optical mapping. The approach directly mapped genomic DNA by the random mapping of single molecules. The two maps were used to facilitate sequence assembly by providing an optical scaffold for high-resolution alignment and verification of sequence contigs. Our results show that such maps facilitated the closure of sequence gaps by the early detection of nascent sequence contigs during the course of the whole-genome shotgun sequencing process.

Chromosomes, Bacterial↗

A whole-genome radiation hybrid map of the dog genome.

A whole genome radiation hybrid (RH) map of the canine genome was constructed by typing 400 markers, including 218 genes and 182 microsatellites, on a panel of 126 radiation hybrid cell lines. Fifty-seven RH groups have been determined with lod scores greater than 6, and 180 framework landmarks were ordered with odds greater than 1000:1. Average spacing between adjacent markers is 23 cR5000, an estimated physical distance of 3.8 Mb. Fourteen groups have been assigned to 9 of the canine chromosomes, and a comparison of RH and genetic groups allowed the successful bridging of both types of data on one map composed of 31 RH and 13 syntenic RH groups. Comparison of canine, human, mouse, and pig maps underlined regions of conserved synteny. This integrated map, covering an estimated 80% of the dog genome, should prove a powerful tool for localizing and identifiying genes implicated in pathological and phenotypical traits.

Animals↗

Genetic analysis of type 1 diabetes using whole genome approaches.

Whole genome linkage analysis of type 1 diabetes using affected sib pair families and semi-automated genotyping and data capture procedures has shown how type 1 diabetes is inherited. A major proportion of clustering of the disease in families can be accounted for by sharing of alleles at susceptibility loci in the major histocompatibility complex on chromosome 6 (IDDM1) and at a minimum of 11 other loci on nine chromosomes. Primary etiological components of IDDM1, the HLA-DQB1 and -DRB1 class II immune response genes, and of IDDM2, the minisatellite repeat sequence in the 5' regulatory region of the insulin gene on chromosome 11p15, have been identified. Identification of the other loci will involve linkage disequilibrium mapping and sequencing of candidate genes in regions of linkage.

Animals↗

Whole-Genome Analysis of Bacillus Licheniformis Ali5 and Synthesis of Lichenysin via Genome Shuffling.

Whole-genome sequencing of Bacillus licheniformis Ali5 was performed via MGI-seq PE150 and Nanopore single-molecule real-time sequencing. The strain has a 4,114,664 bp circular genome encoding 4030 protein-coding genes. Functional annotation across NR, COG, GO, KEGG, CARD, BacMet, and CAZy databases identified 4025, 2812, 988, 1242, 72, 69, and 94 corresponding genes, respectively, and antiSMASH 6.0 revealed multiple antimicrobial biosynthetic gene clusters, including intact lichenysin and lichenicidin VK21 A1/A2 gene clusters. Three rounds of recursive protoplast fusion-based genome shuffling, paired with a dual-index screening system, significantly improved strain growth and lichenysin biosynthesis. Recombinants exhibited shortened lag phase, enhanced proliferation, improved stationary-phase stability, and higher diauxic peak biomass. PP3-176 and PP3-186 showed 4.6%-8.1% higher 12-h shake-flask titer and 3.1%-4.0% higher maximum titer than the parental average, with excellent fermentation stability. 1-L bioreactor validation confirmed strong scale-up potential. PP3-186 achieved 27.2% and 31.6% titer increases at 12 h and 20 h, while PP3-176 yielded 20.4% and 14.6% improvements with robust metabolic performance. This study validates genome shuffling as an effective strategy for enhancing lichenysin production, providing candidate strains and technical support for industrial application.

Bacillus licheniformis↗

A whole genome amplification method to generate long fragments from low quantities of genomic DNA.

Several whole genome amplification strategies have been developed to preamplify the entire genome from minimal amounts of DNA for subsequent molecular genetic analysis. However, none of these techniques has proven to amplify long products from very low (nanogram or picogram) quantities of genomic DNA. Here we report a new whole genome amplification protocol using a degenerate primer (DOP-PCR) that generates products up to about 10 kb in length from less than 1 ng genomic template DNA. This new protocol (LL-DOP-PCR) allows in the subsequent PCR the specific amplification, with high fidelity, of DNA fragments that are more than 1 kb in length. LL-DOP-PCR provides significantly better coverage for microsatellites and unique sequences in comparison to a conventional DOP-PCR method.

DNA↗

GenoFrag: software to design primers optimized for whole genome scanning by long-range PCR amplification.

Genome sequence data can be used to analyze genome plasticity by whole genome PCR scanning. Small sized chromosomes can indeed be fully amplified by long-range PCR with a set of primers designed using a reference strain and applied to several other strains. Analysis of the resulting patterns can reveal the genome plasticity. To facilitate such analysis, we have developed GenoFrag, a software package for the design of primers optimized for whole genome scanning by long-range PCR. GenoFrag was developed for the analysis of Staphylococcus aureus genome plasticity by whole genome amplification in approximately 10 kb-long fragments. A set of primers was generated from the genome sequence of S.aureus N315, employed here as a reference strain. Two subsets of primers were successfully used to amplify two portions of the N315 chromosome. This experimental validation demonstrates that GenoFrag is a robust and reliable tool for primer design and that whole genome PCR scanning can be envisaged for the analysis of genome diversity in S.aureus, one of the major public health concerns worldwide.

Base Pairing↗

Association Cluster Detector: a tool for heuristic detection of significance clusters in whole-genome scans.

UNLABELLED: Whole genome scans analyze large sets of genetic markers, mainly single nucleotide polymorphisms, over the entire genome in order to find variants and regions associated with complex traits so these can be further investigated. Analyzing the results of such scans becomes difficult due to multiple testing problems and to the genomic distributions of recombination, linkage disequilibrium and true associations, which generate an extremely complex network of dependences between markers. Here we present Association Cluster Detector (ACD), a simple tool aiming to ease the analysis of the results of whole genome scans. ACD facilitates correction for multiple tests using several standard procedures and implements a sliding-window heuristic method that helps in detecting potentially interesting candidate regions by exploiting the property of non-random distribution of significantly associated markers. AVAILABILITY: The tool can be downloaded from http://www.upf.es/cexs/recerca/bioevo/softanddata.htm

Algorithms↗

Amino acid cost and codon-usage biases in 6 prokaryotic genomes: a whole-genome analysis.

For most prokaryotic organisms, amino acid biosynthesis represents a significant portion of their overall energy budget. The difference in the cost of synthesis between amino acids can be striking, differing by as much as 7-fold. Two prokaryotic organisms, Escherichia coli and Bacillus subtilis, have been shown to preferentially utilize less costly amino acids in highly expressed genes, indicating that parsimony in amino acid selection may confer a selective advantage for prokaryotes. This study confirms those findings and extends them to 4 additional prokaryotic organisms: Chlamydia trachomatis, Chlamydophila pneumoniae AR39, Synechocystis sp. PCC 6803, and Thermus thermophilus HB27. Adherence to codon-usage biases for each of these 6 organisms is inversely correlated with a coding region's average amino acid biosynthetic cost in a fashion that is independent of chemoheterotrophic, photoautotrophic, or thermophilic lifestyle. The obligate parasites C. trachomatis and C. pneumoniae AR39 are incapable of synthesizing many of the 20 common amino acids. Removing auxotrophic amino acids from consideration in these organisms does not alter the overall trend of preferential use of energetically inexpensive amino acids in highly expressed genes.

Adaptation, Biological↗