Visualization of Pseudomonas genomic structure by abundant 8–14mer oligonucleotides

Under- and over-represented mono- to hexanucleotides are signatures of bacterial genomes, but the compositional biases of octa- to tetradecanucleotides have not yet been explored. Thirteen completely sequenced genomes of the Pseudomonas genus were searched for highly overrepresented 8–14mers. Between 59–989 overrepresented 8–14mers were found to exceed the applied threshold value. All genomic data sets of the 13 strains showed a consistent pattern, with individual oligomers clustering in either non-coding or coding regions. Non-coding oligonucleotides were typically part of longer repeats. Coding oligonucleotides were evenly distributed in the core genome, preferred one reading frame and matched with the local tetranucleotide usage patterns. Genomic islands were recognized by the depletion of overrepresented oligonucleotides. Several mainly coding 8–14mers occurred in genomes on average every 10 000 bp or less. Such frequently occurring 8–14mers could become useful markers for species identification. In the future of next-generation ultra-high throughput DNA sequencing, the composition of bacterial metagenomes may be quantified by scanning the primary sequence reads for these 8–14mer markers.     

Fast combinatorial cartography by FISH on combed genomic DNA

A novel combinatorial method combining FISH on combed genomic DNA is presented for a fast high-resolution (1Kbps) gene cartography.This revised version was published online in October 2005 with corrections to the Cover Date.     

Bayesian inference of fine-scale recombination rates using population genomic data

Recently, several statistical methods for estimating fine-scale recombination rates using population samples have been developed. However, currently available methods that can be applied to large-scale data are limited to approximated likelihoods. Here, we developed a full-likelihood Markov chain Monte Carlo method for estimating recombination rate under a Bayesian framework. Genealogies underlying a sampling of chromosomes are effectively modelled by using marginal individual single nucleotide polymorphism genealogies related through an ancestral recombination graph. The method is compared with two existing composite-likelihood methods using simulated data.Simulation studies show that our method performs well for different simulation scenarios. The method is applied to two human population genetic variation datasets that have been studied by sperm typing. Our results are consistent with the estimates from sperm crossover analysis.     

Visualization of comparative genomic analyses by BLAST score ratio

Background  

The first microbial genome sequence, Haemophilus influenzae, was published in 1995. Since then, more than 400 microbial genome sequences have been completed or commenced. This massive influx of data provides the opportunity to obtain biological insights through comparative genomics. However few tools are available for this scale of comparative analysis.     

New interpretations of fine-scale spatial genetic structure

Recent methodological advances permit refined inferences of evolutionary processes from the fine-scale spatial genetic structure of plant populations. In this issue of Molecular Ecology, Born et al. (2008) exploit the full power of these methods by examining effects of ancient and recent landscape histories in an African rainforest tree species. The authors first detected admixture of distinct gene pools that may have formed in Pleistocene forest refuges. Then, comparing across six study populations in Gabon, the authors found similar patterns of fine-scale spatial genetic structure despite natural and anthropogenic variation in population density. The latter results suggest that enhanced gene dispersal may compensate for low population densities in fragmented landscapes.     

Chromosomal 16p microdeletion in Rubinstein-Taybi syndrome detected by oligonucleotide-based array comparative genomic hybridization: a case report

Introduction

Chromosomal aberrations of chromosome 16 are uncommon and submicroscopic deletions have rarely been reported. At present, a cytogenetic or molecular abnormality can only be detected in 55% of Rubinstein-Taybi syndrome patients, leaving the diagnosis in 45% of patients to rest on clinical features only. Interestingly, this microdeletion of 16 p13.3 was found in a young child with an unexplained syndromic condition due to an indistinct etiological diagnosis. To the best of our knowledge, no evidence of a microdeletion of 16 p13.3 with contiguous gene deletion, comprising cyclic adenosine monophosphate-response element-binding protein and tumor necrosis factor receptor-associated protein 1 genes, has been described in typical Rubinstein-Taybi syndrome.

Case presentation

We present the case of a three-year-old Malaysian Chinese girl with a de novo microdeletion on the short arm of chromosome 16, identified by oligonucleotide array-based comparative genomic hybridization. Our patient showed mild to moderate global developmental delay, facial dysmorphism, bilateral broad thumbs and great toes, a moderate size atrial septal defect, hypotonia and feeding difficulties. A routine chromosome analysis on 20 metaphase cells showed a normal 46, XX karyotype. Further investigation by high resolution array-based comparative genomic hybridization revealed a 120 kb microdeletion on chromosomal band 16 p13.3.

Conclusion

A mutation or abnormality in the cyclic adenosine monophosphate-response element-binding protein has previously been determined as a cause of Rubinstein-Taybi syndrome. However, microdeletion of 16 p13.3 comprising cyclic adenosine monophosphate-response element-binding protein and tumor necrosis factor receptor-associated protein 1 genes is a rare scenario in the pathogenesis of Rubinstein-Taybi syndrome. Additionally, due to insufficient coverage of the human genome by conventional techniques, clinically significant genomic imbalances may be undetected in unexplained syndromic conditions of young children. This case report demonstrates the ability of array-based comparative genomic hybridization to offer a genome-wide analysis at high resolution and provide information directly linked to the physical and genetic maps of the human genome. This will contribute to more accurate genetic counseling and provide further insight into the syndrome.     

Detection of novel amplicons in prostate cancer by comprehensive genomic profiling of prostate cancer cell lines using oligonucleotide-based arrayCGH

BACKGROUND: The purpose of this study was to prove the feasibility of a longmer oligonucleotide microarray platform to profile gene copy number alterations in prostate cancer cell lines and to quickly indicate novel candidate genes, which may play a role in carcinogenesis. METHODS/RESULTS AND FINDINGS: Genome-wide screening for regions of genetic gains and losses on nine prostate cancer cell lines (PC3, DU145, LNCaP, CWR22, and derived sublines) was carried out using comparative genomic hybridization on a 35,000 feature oligonucleotide microarray (arrayCGH). Compared to conventional chromosomal CGH, more deletions and small regions of gains, particularly in pericentromeric regions and regions next to the telomeres, were detected. As validation of the high-resolution of arrayCGH we further analyzed a small amplicon of 1.7 MB at 9p13.3, which was found in CWR22 and CWR22-Rv1. Increased copy number was confirmed by fluorescence in situ hybridization using the BAC clone RP11-165H19 from the amplified region comprising the two genes interleukin 11 receptor alpha (IL11-RA) and dynactin 3 (DCTN3). Using quantitative real time PCR (qPCR) we could demonstrate that IL11-RA is the gene with the highest copy number gain in the cell lines compared to DCTN3 suggesting IL11-RA to be the amplification target. Screening of 20 primary prostate carcinomas by qPCR revealed an IL11-RA copy number gain in 75% of the tumors analyzed. Gain of DCTN3 was only found in two cases together with a gain of IL11-RA. CONCLUSIONS/SIGNIFICANCE: ArrayCGH using longmer oligonucleotide microarrays is feasible for high-resolution analysis of chomosomal imbalances. Characterization of a small gained region at 9p13.3 in prostate cancer cell lines and primary prostate cancer samples by fluorescence in situ hybridization and quantitative PCR has revealed interleukin 11 receptor alpha gene as a candidate target of amplification with an amplification frequency of 75% in prostate carcinomas. Frequent amplification of IL11-RA in prostate cancer is a potential mechanism of IL11-RA overexpression in this tumor type.     

A heterogeneity test for fine-scale genetic structure

For organisms with limited vagility and/or occupying patchy habitats, we often encounter nonrandom patterns of genetic affinity over relatively small spatial scales, labelled fine-scale genetic structure. Both the extent and decay rate of that pattern can be expected to depend on numerous interesting demographic, ecological, historical, and mating system factors, and it would be useful to be able to compare different situations. There is, however, no heterogeneity test currently available for fine-scale genetic structure that would provide us with any guidance on whether the differences we encounter are statistically credible. Here, we develop a general nonparametric heterogeneity test, elaborating on standard autocorrelation methods for pairs of individuals. We first develop a 'pooled within-population' correlogram, where the distance classes (lags) can be defined as functions of distance. Using that pooled correlogram as our null-hypothesis reference frame, we then develop a heterogeneity test of the autocorrelations among different populations, lag-by-lag. From these single-lag tests, we construct an analogous test of heterogeneity for multilag correlograms. We illustrate with a pair of biological examples, one involving the Australian bush rat, the other involving toadshade trillium. The Australian bush rat has limited vagility, and sometimes occupies patchy habitat. We show that the autocorrelation pattern diverges somewhat between continuous and patchy habitat types. For toadshade trillium, clonal replication in Piedmont populations substantially increases autocorrelation for short lags, but clonal replication is less pronounced in mountain populations. Removal of clonal replicates reduces the autocorrelation for short lags and reverses the sign of the difference between mountain and Piedmont correlograms.     

Visualization of a self-incompatibility gene in Brassica campestris L. by multicolor FISH

 The physical localization of the S-glycoprotein (SLG) locus in the chromosome of Brassica campestris L. ‘pekinensis’ cv ‘Kukai’ was visualized by multi-color fluorescent in situ hybridization (McFISH). ‘Kukai’, which is an F₁ hybrid between two parental lines, T-17 and T-18, has two SLG genes from both T-17 and T-18. In this study, a 1.3-kb DNA fragment was amplified from the genomic DNA of T-17 by PCR using a set of primers specific to the class-I SLG. From the genomic DNA of T-18, no DNA fragment was amplified using these primers. In the genomic Southern hybridization, a cloned PCR product hybridized with the genomic DNA of T-17 or F₁ but not with that of T-18. The PCR product had a sequence homology of approximately, 85% to another class-I SLG gene, SLG-9. Therefore, the PCR product from T-17 was named SLG-17, as it is thought to be a member of the class-I SLG. Using SLG-17 as the probe, FISH was carried out to visualize the position of the SLG locus. McFISH was also carried out simultaneously using the SLG-17 and SLG-9 genes as probes. The SLG-17 gene was detected as a doublet signal at the interstitial region close to the end of a small chromosome, with the signal site being identical to that of SLG-9. Therefore, it is concluded that the SLG-17 gene is localized at the interstitial region close to the end of the chromosome derived from T-17 in Brassica campestris L. ‘pekinensis’ cv ‘Kukai’. Received: 18 September 1997 / Accepted: 6 October 1997     

Quantitative high-resolution genomic analysis of single cancer cells

During cancer progression, specific genomic aberrations arise that can determine the scope of the disease and can be used as predictive or prognostic markers. The detection of specific gene amplifications or deletions in single blood-borne or disseminated tumour cells that may give rise to the development of metastases is of great clinical interest but technically challenging. In this study, we present a method for quantitative high-resolution genomic analysis of single cells. Cells were isolated under permanent microscopic control followed by high-fidelity whole genome amplification and subsequent analyses by fine tiling array-CGH and qPCR. The assay was applied to single breast cancer cells to analyze the chromosomal region centred by the therapeutical relevant EGFR gene. This method allows precise quantitative analysis of copy number variations in single cell diagnostics.     

Evidence for population growth in humans is confounded by fine-scale population structure

Although many studies have reported human polymorphism data, there has been no analysis of the effect of sampling design on the patterns of variability recovered. Here, we consider which factors affect a summary of the allele-frequency spectrum. The most important variable to emerge from our analysis is the number of ethnicities sampled: studies that sequence individuals from more ethnicities recover more rare alleles. These observations are consistent with fine-scale geographic differentiation as well as population growth. They suggest that the geographic sampling strategy should be considered carefully, especially when the aim is to infer the demographic history of humans.     

Waterborne pathogen detection by use of oligonucleotide-based microarrays

A small-oligonucleotide microarray prototype was designed with probes specific for the universal 16S rRNA and cpn60 genes of several pathogens that are usually encountered in wastewaters. In addition to these two targets, wecE-specific oligonucleotide probes were included in the microarray to enhance its discriminating power within the Enterobacteriaceae family. Universal PCR primers were used to amplify variable regions of 16S rRNA, cpn60, and wecE genes directly in Escherichia coli and Salmonella enterica serovar Typhimurium genomic DNA mixtures (binary); E. coli, S. enterica serovar Typhimurium, and Yersinia enterocolitica genomic DNA mixtures (ternary); or wastewater total DNA. Amplified products were fluorescently labeled and hybridized on the prototype chip. The detection sensitivity for S. enterica serovar Typhimurium was estimated to be on the order of 0.1% (10(4) S. enterica genomes) of the total DNA for the combination of PCR followed by microarray hybridization. The sensitivity of the prototype could be increased by hybridizing amplicons generated by PCR targeting genes specific for a bacterial subgroup, such as wecE genes, instead of universal taxonomic amplicons. However, there was evidence of PCR bias affecting the detection limits of a given pathogen as increasing amounts of a different pathogen were spiked into the test samples. These results demonstrate the feasibility of using DNA microarrays in the detection of waterborne pathogens within mixed populations but also raise the problem of PCR bias in such experiments.     

Visualization of genomic changes by segmented smoothing using an L0 penalty

Copy number variations (CNV) and allelic imbalance in tumor tissue can show strong segmentation. Their graphical presentation can be enhanced by appropriate smoothing. Existing signal and scatterplot smoothers do not respect segmentation well. We present novel algorithms that use a penalty on the L(0) norm of differences of neighboring values. Visualization is our main goal, but we compare classification performance to that of VEGA.     

Visualization of genomic aberrations using Affymetrix SNP arrays

MOTIVATION: DNA copy number aberrations are frequently found in different types of cancer. Recent developments of microarray-based approaches have broadened the knowledge on number and structure of such aberrations. High-density single nucleotide polymorphism (SNP) microarrays provide an extremely high resolution with up to 500,000 SNPs per genome. Owing to the enormous amount of data the detection of common aberrations in large datasets is a great challenge. We describe a novel open source software tool--IdeogramBrowser--which was specifically designed for use with the Affymetrix SNP arrays. It provides an interactive karyotypic visualization of multiple aberration profiles and direct links to GeneCards. Visualization of consensus regions together with gene representation allows the explorative assessment of the data. AVAILABILITY: IdeogramBrowser and its source code are freely available under a creative commons license and can be obtained from http://www.informatik.uni-ulm.de/ni/staff/HKestler/ideo/. IdeogramBrowser is a platform independent Java application.     

Mitochondrial structure revealed by high-resolution scanning electron microscopy

Mitochondrial structure has been examined in three dimensions using high-resolution scanning electron microscopy in cells from rat liver, retina (photoreceptors and retinal pigment epithelium), and kidney (proximal convoluted tubular cells and podocytes). Tissues were prepared by aldehyde-osmium fixation and freeze cleavage using a cryoprotectant, followed by removal of the cytosol by immersion in a dilute osmium tetroxide solution. The microscope used (Hitachi S-570) was equipped with a secondary electron detector located in the column above the specimen, situated within the objective lens. Mitochondria in all tissues examined were found to have only tubular cristae, which in some instances could be seen to span the entire diameter of the organelle. The walls of the tubular cristae, when unfractured, were in contact with the inner mitochondrial membrane; and their lumens were open to the intermembranous space. We hypothesize that in cells of many, perhaps most tissues, mitochondrial cristae are not shelf-like but are, in fact, tubes which span the mitochondrial matrix and are continuous with the inner mitochondrial membrane at both ends.     

Microsatellites reveal fine-scale genetic structure in stream-living brown trout

Multilocus F _ST estimates revealed a pronounced genetic structure at six microsatellite loci in brown trout Salmo trutta in Nordre Finnvikelv, with at least three breeding units that remained stable over time. Significant differences in allele frequencies were found between five sections within a 3-km range, even when no physical barriers prevented fish from migrating between sections. It is argued that geological structures may rise to patterns resembling isolation by distance. Seemingly, the most important factor causing genetic differentiation in Nordre Finnvikelv is genetic drift in small populations that are geologically subdivided by a tributary and by impassable waterfalls. Some correlation between previous behavioural observations and genetic structures were found.     

Structural chromosome rearrangements and polymorphisms identified in Chinese wheat cultivars by high-resolution multiplex oligonucleotide FISH

Key message

High-resolution multiplex oligonucleotide FISH revealed the frequent occurrence of structural chromosomal rearrangements and polymorphisms in widely grown wheat cultivars and their founders.

Abstract

Over 2000 wheat cultivars including 19 founders were released and grown in China from 1949 to 2000. To understand the impact of breeding selection on chromosome structural variations, high-resolution karyotypes of Chinese Spring (CS) and 373 Chinese cultivars were developed and compared by FISH (fluorescence in situ hybridization) using an oligonucleotide multiplex probe based on repeat sequences. Among them, 148 (39.7%) accessions carried 14 structural rearrangements including three single translocations (designated as T), eight reciprocal translocations (RT), one pericentric inversion (perInv), and two combined variations having both the deletion and single translocations. Five rearrangements were traced to eight founders, including perInv 6B detected in 57 cultivars originating from Funo, Abbondanza, and Fan 6, T 1RS?1BL in 47 cultivars derived from the Lovrin series, RT 4AS?4AL-1DS/1DL?1DS-4AL in 31 varieties from Mazhamai and Bima 4, RT 1RS?7DL/7DS?1BL in three cultivars was from Aimengniu, and RT 5BS?5BL-5DL/5DS?5DL-5BL was only detected in Youzimai. In addition to structural rearrangements, 167 polymorphic chromosome blocks (defined as unique signal patterns of oligonucleotide repeat probes distributed within chromosomes) were identified, and 59 were present in one or more founders. Some specific types were present at high frequencies indicating selective blocks in Chinese wheat varieties. All cultivars and CS were clustered into four groups and 15 subgroups at chromosome level. Common block patterns occurred in the same subgroup. Origin, geographic distribution, probable adaptation to specific environments, and potential use of these chromosomal rearrangements and blocks are discussed.

     

FISH and GISH analysis of the genomic relationships amongPanax species

Ginseng is a well-known medicinal plant that has been used as an anti-aging agent for many years in East Asia. In the genusPanax, only three species,P. ginseng (Oriental ginseng),P. quinquefolius (American ginseng) andP. notoginseng (Chinese ginseng), are currently considered to be important medicinal herbs. Despite the increase in their breeding value, molecular cytogenetic information on the species is not available. To analyze the genomic relationships among thePanax species, FISH (fluorescencein situ hybridization) and GISH (genomicin situ hybridization) techniques were applied. FISH analysis revealed that the 45S and 5S rRNA genes ofP. notoginseng (2n=2x=24) andP. ginseng (2n=4x=48) cluster on a single locus on different chromosomes, whileP. quinquefolius (2n=4x=48),P. japonicus (2n=4x=48), and Korean wild ginseng (2n =4x= 48) had one locus of the 45S rRNA gene and two loci of the 5S rRNA gene, respectively. GISH analysis using genomic DNA as a probe detected strong cross-hybridization of genomes betweenP. ginseng andP. quinquefolius. GISH analysis of other species showed weak or no distinct signals on the chromosomes. Our data revealed thatP. ginseng andP. quinquefolius showed the highest degree of homology, indicating that these species diverged in most recent years.