High-throughput sequence typing of T-cell epitope polymorphisms in Plasmodium falciparum circumsporozoite protein

We report a method for typing polymorphisms at the T-cell epitopes within the Th2R and Th3R regions of the Plasmodium falciparum circumsporozoite protein (CSP). This method combines the use of PCR and sequence specific oligonucleotide probes (PCR-SSOP), and allows the identification of single nucleotide polymorphisms in these epitope regions. PCR-SSOP is a robust and a high-throughput sequence typing technique which has the same specificity and fidelity as direct sequencing. This method has been developed specifically for the assessment of the protective efficacy of RTS,S/SBAS2 vaccine against the 3D7 strain of P. falciparum (RTS,S/SBAS2 vaccine contains a part of the 3D7 CSP protein) in a phase IIb trial in Gambia which has been completed recently. PCR-SSOP could be used to determine the allelic frequencies of other parasite antigens and their geographical distribution.     

High-throughput gene discovery in the rat

The rat is an important animal model for human diseases and is widely used in physiology. In this article we present a new strategy for gene discovery based on the production of ESTs from serially subtracted and normalized cDNA libraries, and we describe its application for the development of a comprehensive nonredundant collection of rat ESTs. Our new strategy appears to yield substantially more EST clusters per ESTs sequenced than do previous approaches that did not use serial subtraction. However, multiple rounds of library subtraction resulted in high frequencies of otherwise rare internally primed cDNAs, defining the limits of this powerful approach. To date, we have generated >200,000 3' ESTs from >100 cDNA libraries representing a wide range of tissues and developmental stages of the laboratory rat. Most importantly, we have contributed to approximately 50,000 rat UniGene clusters. We have identified, arrayed, and derived 5' ESTs from >30,000 unique rat cDNA clones. Complete information, including radiation hybrid mapping data, is also maintained locally at http://genome.uiowa.edu/clcg.html. All of the sequences described in this article have been submitted to the dbEST division of the NCBI.     

High-throughput method for detecting genomic-deletion polymorphisms

DNA microarrays have been successfully used with different microorganisms, including Mycobacterium tuberculosis, to detect genomic deletions relative to a reference strain. However, the cost and complexity of the microarray system are obstacles to its widespread use in large-scale studies. In order to evaluate the extent and role of large sequence polymorphisms (LSPs) or insertion-deletion events in bacterial populations, we developed a technique, termed deligotyping, which hybridizes multiplex-PCR products to membrane-bound, highly specific oligonucleotide probes. The approach has the benefits of being low cost and capable of simultaneously interrogating more than 40 bacterial strains for the presence of 43 genomic regions. The deletions represented on the membrane were selected from previous comparative genomic studies and ongoing microarray experiments. Highly specific probes for these deletions were designed and attached to a membrane for hybridization with strain-derived targets. The targets were generated by multiplex PCR, allowing simultaneous amplifications of 43 different genomic loci in a single reaction. To validate our approach, 100 strains that had been analyzed with a high-density microarray were analyzed. The membrane accurately detected the deletions identified by the microarray approach, with a sensitivity of 99.9% and a specificity of 98.0%. The deligotyping technique allows the rapid and reliable screening of large numbers of M. tuberculosis isolates for LSPs. This technique can be used to provide insights into the epidemiology, genomic evolution, and population structure of M. tuberculosis and can be adapted for the study of other organisms.     

应用MALDI-TOF-MS技术高通量检测乙肝病毒耐药基因变异

目的 建立基于MALDI-TOF-MS技术的高通量检测乙型肝炎病毒耐药基因变异的临床检测方法 .方法 应用MassARRAY Assay Design软件设计iPLEX引物,按iPLEX反应的操作说明进行PCR扩增、SAP反应、引物延伸、脱盐、点样,MALDI-TOF-MS采集、分析iPLEX反应物的数据,判读基因变异位点.批量检测、分析138例HBV耐药包括拉米夫定、阿德福韦、恩替卡韦单药耐药及多重耐药的慢性乙型肝炎患者血清标本.并对MALDI-TOF-MS所检测的HBV基因变异位点所在区域进行DNA测序,与MALDI-TOF-MS检测结果 对比、分析.结果 建立了基于MALDI-TOF-MS技术的HBV基因突变检测平台,实现了临床血清标本的高通量检测.能一次获得138份标本的HBV基因突变临床检测结果 .MALDI-TOF-MS技术和DNA测序同时检测的33份标本中,有10份检测结果 不一致,其中有2份MALDI-TOF-MS技术未检测到,有1例出现2个检测位点不一致.结论 MALDI-TOF-MS技术灵敏度高、准确度高,可高通量、快速检测HBV基因变异,适用于HBV临床诊治及监测.     

Drug discovery based on genomic information

Drug discovery is a continuum of the processes, i.e. identification of disease-associated targets, screening of compound libraries, identification of leads and their optimization to drugs, preclinical and clinical drug development. Recent advances in genomic sciences will greatly reinforce processes such as early target identification and clinical researches. Particularly, exploitation of genomic information in clinical researches is expected to revolutionarily improve drug development and eventual clinical use. Ultimately, tailor-made medicine will provide us with great benefit in the near future therapy.     

High-throughput discovery of rare insertions and deletions in large cohorts

Pooled-DNA sequencing strategies enable fast, accurate, and cost-effect detection of rare variants, but current approaches are not able to accurately identify short insertions and deletions (indels), despite their pivotal role in genetic disease. Furthermore, the sensitivity and specificity of these methods depend on arbitrary, user-selected significance thresholds, whose optimal values change from experiment to experiment. Here, we present a combined experimental and computational strategy that combines a synthetically engineered DNA library inserted in each run and a new computational approach named SPLINTER that detects and quantifies short indels and substitutions in large pools. SPLINTER integrates information from the synthetic library to select the optimal significance thresholds for every experiment. We show that SPLINTER detects indels (up to 4 bp) and substitutions in large pools with high sensitivity and specificity, accurately quantifies variant frequency (r = 0.999), and compares favorably with existing algorithms for the analysis of pooled sequencing data. We applied our approach to analyze a cohort of 1152 individuals, identifying 48 variants and validating 14 of 14 (100%) predictions by individual genotyping. Thus, our strategy provides a novel and sensitive method that will speed the discovery of novel disease-causing rare variants.     

Subtelomeric rearrangements as neutral genomic polymorphisms

Submicroscopic chromosomal rearrangements affecting telomeres are important aetiological contributors to the development of mental retardation. Results from over 2,500 analysed patients with mental retardation demonstrated that about 5% have a subtelomeric aberration. However, some subtelomeric rearrangements have no phenotypic consequences. Due to the heterogeneity of such rearrangements and to the limited information about which monosomy or trisomy can be tolerated without phenotypic effect, conclusions about the association of a specific aberration and the phenotypical consequences are often hard to draw. We performed a study of subtelomeric aberrations with the aim to provide more insights into the understanding of such rearrangements as neutral genomic polymorphisms. We found two new polymorphisms: a duplication or triplication of the subtelomeric region of the long arm of chromosome 4 and a trisomy of the subtelomeric region of the short arm of chromosome 6 owing to a transposition to chromosome 22. These new data are presented and discussed in the context of the published literature.     

Detection of inter-spread repeat sequence in genomic DNA sequence

Various types of periodic patterns in nucleotide sequences are known to be very abundant in a genomic DNA sequence, and to play important biological roles such as gene expression, genome structural stabilization, and recombination. We present a new method, named "STEPSTONE", to find a specific periodic pattern of repeat sequence, inter-spread repeat, in which the tandem repeats of the conserved and the not-conserved regions appear periodically. In our method, at first, the data on periods of short repeat sequences found in a target sequence are stored as a hash data, and then are selected by application of an auto-correlation test in time series analysis. Among the statistically selected sequences, the inter-spread repeats are obtained by usual alignment procedures through two steps. To test the performance of our method, we examined the inter-spread repeats in Mycobacterium tuberculosis and Zamia paucijuga genomic sequences. As a result, our method exactly detected the repeats in the two sequences, being useful for identifying systematically the inter-spread repeats in DNA sequence.     

High-throughput multiplex SNP genotyping with MALDI-TOF mass spectrometry: practice, problems and promise

Single nucleotide polymorphisms (SNPs) are currently being identified and mapped at a remarkable pace, providing a rich genetic resource with vast potential for disease gene discovery, pharmacogenetics, and understanding the origins of modern humans. High-throughput, cost effective genotyping methods are essential in order to make the most advantageous and immediate use of these SNP data. We have incorporated the use of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF) in our laboratory as a tool for differentiating genotypes based on the mass of the variant DNA sequence, and have utilized this method for production scale SNP genotyping. We have combined a 4 microl PCR amplification reaction using 3 ng of genomic DNA with a secondary enzymatic reaction (mini-sequencing) containing oligonucleotide primers that anneal immediately upstream of the polymorphic site, dideoxynucleotides, and a thermostable polymerase used to extend the PCR product by a single base pair. Mass spectrometry (MS) analysis of mini-sequencing reactions was performed using a MALDI-TOF instrument (Voyager-DE, Perseptive Biosystems, Framingham, MA). We performed both single and multiplex PCR and mini-sequencing reactions, and genotyped seven different variant sites in a random sample of 989 individuals. Genotypes generated with MS methods were compared with genotypes produced using a 5' exonuclease fluorescence-based assay (Taqman, Applied Biosystems, Foster City, CA) and a gel-based genotyping protocol. Because multiple polymorphisms can be detected in a single reaction, the MS technique provides a cost-effective and efficient method for high-throughput genotyping.     

Gene discovery through genomic sequencing of Brucella abortus

Brucella abortus is the etiological agent of brucellosis, a disease that affects bovines and human. We generated DNA random sequences from the genome of B. abortus strain 2308 in order to characterize molecular targets that might be useful for developing immunological or chemotherapeutic strategies against this pathogen. The partial sequencing of 1,899 clones allowed the identification of 1,199 genomic sequence surveys (GSSs) with high homology (BLAST expect value < 10(-5)) to sequences deposited in the GenBank databases. Among them, 925 represent putative novel genes for the Brucella genus. Out of 925 nonredundant GSSs, 470 were classified in 15 categories based on cellular function. Seven hundred GSSs showed no significant database matches and remain available for further studies in order to identify their function. A high number of GSSs with homology to Agrobacterium tumefaciens and Rhizobium meliloti proteins were observed, thus confirming their close phylogenetic relationship. Among them, several GSSs showed high similarity with genes related to nodule nitrogen fixation, synthesis of nod factors, nodulation protein symbiotic plasmid, and nodule bacteroid differentiation. We have also identified several B. abortus homologs of virulence and pathogenesis genes from other pathogens, including a homolog to both the Shda gene from Salmonella enterica serovar Typhimurium and the AidA-1 gene from Escherichia coli. Other GSSs displayed significant homologies to genes encoding components of the type III and type IV secretion machineries, suggesting that Brucella might also have an active type III secretion machinery.     

Complete genomic sequence of turkey coronavirus

Turkey coronavirus (TCoV), one of the least characterized of all known coronaviruses, was isolated from an outbreak of acute enteritis in young turkeys in Ontario, Canada, and the full-length genomic sequence was determined. The full-length genome was 27,632 nucleotides plus the 3' poly(A) tail. Two open reading frames, ORFs 1a and 1b, resided in the first two thirds of the genome, and nine additional downstream ORFs were identified. A gene for hemagglutinin-esterase was absent in TCoV. The region between the membrane (M) and nucleocapsid (N) protein genes contained three potential small ORFs: ORF-X, a previously uncharacterized ORF with an associated putative TRS within the M gene (apparently shared among all group III coronaviruses), and previously described ORFs 5a and 5b. The TCoV genome is organized as follows: 5' UTR--replicase (ORFs 1a, 1b)--spike (S) protein--ORF3 (ORFs 3a, 3b)--small envelop (E or 3c) protein--membrane (M) protein--ORF5 (ORFs X, 5a, 5b)--nucleocapsid (N) protein--3' UTR--poly(A). TCoV genome structure and sequence was most similar, but distinct from, avian infectious bronchitis virus (IBV). This is the first complete genome sequence for a TCoV and confirms that TCoV belongs to group III coronaviruses.     

The genomic psychiatry cohort: Partners in discovery

The Genomic Psychiatry Cohort (GPC) is a longitudinal resource designed to provide the necessary population‐based sample for large‐scale genomic studies, studies focusing on Research Domain Criteria (RDoC) and/or other alternate phenotype constructs, clinical and interventional studies, nested case–control studies, long‐term disease course studies, and genomic variant‐to‐phenotype studies. We provide and will continue to encourage access to the GPC as an international resource. DNA and other biological samples and diagnostic data are available through the National Institute of Mental Health (NIMH) Repository. After appropriate review and approval by an advisory board, investigators are able to collaborate in, propose, and co‐lead studies involving cohort participants. © 2013 Wiley Periodicals, Inc.     

Adaptive seeds tame genomic sequence comparison

The main way of analyzing biological sequences is by comparing and aligning them to each other. It remains difficult, however, to compare modern multi-billionbase DNA data sets. The difficulty is caused by the nonuniform (oligo)nucleotide composition of these sequences, rather than their size per se. To solve this problem, we modified the standard seed-and-extend approach (e.g., BLAST) to use adaptive seeds. Adaptive seeds are matches that are chosen based on their rareness, instead of using fixed-length matches. This method guarantees that the number of matches, and thus the running time, increases linearly, instead of quadratically, with sequence length. LAST, our open source implementation of adaptive seeds, enables fast and sensitive comparison of large sequences with arbitrarily nonuniform composition.     

Coding and noncoding genomic regions of Entamoeba histolytica have significantly different rates of sequence polymorphisms: implications for epidemiological studies

To evaluate genetic variability among Entamoeba histolytica strains, we sequenced 9,077 bp from each of 14 isolates. The polymorphism rates from coding and noncoding regions were significantly different (0.07% and 0.37%, respectively), indicating that these regions are subject to different selection pressures. Additionally, single nucleotide polymorphisms (SNPs) potentially associated with specific clinical outcomes were identified.     

Directional genomic hybridization for chromosomal inversion discovery and detection

Chromosomal rearrangements are a source of structural variation within the genome that figure prominently in human disease, where the importance of translocations and deletions is well recognized. In principle, inversions—reversals in the orientation of DNA sequences within a chromosome—should have similar detrimental potential. However, the study of inversions has been hampered by traditional approaches used for their detection, which are not particularly robust. Even with significant advances in whole genome approaches, changes in the absolute orientation of DNA remain difficult to detect routinely. Consequently, our understanding of inversions is still surprisingly limited, as is our appreciation for their frequency and involvement in human disease. Here, we introduce the directional genomic hybridization methodology of chromatid painting—a whole new way of looking at structural features of the genome—that can be employed with high resolution on a cell-by-cell basis, and demonstrate its basic capabilities for genome-wide discovery and targeted detection of inversions. Bioinformatics enabled development of sequence- and strand-specific directional probe sets, which when coupled with single-stranded hybridization, greatly improved the resolution and ease of inversion detection. We highlight examples of the far-ranging applicability of this cytogenomics-based approach, which include confirmation of the alignment of the human genome database and evidence that individuals themselves share similar sequence directionality, as well as use in comparative and evolutionary studies for any species whose genome has been sequenced. In addition to applications related to basic mechanistic studies, the information obtainable with strand-specific hybridization strategies may ultimately enable novel gene discovery, thereby benefitting the diagnosis and treatment of a variety of human disease states and disorders including cancer, autism, and idiopathic infertility.     

Comparative genomic analysis as a tool for biological discovery

The recent completion of the human genome sequence has enabled the identification of a large fraction of our gene catalogue and their physical chromosomal position. However, current efforts lag at defining the cis-regulatory sequences that control the spatial and temporal patterns of each gene's expression. This task remains difficult due to our lack of knowledge of the vocabulary controlling gene regulation and the vast genomic search space, with greater than 95% of our genome being noncoding. Recent comparative genomic-based strategies are beginning to aid in the identification of functional sequences based on their high levels of evolutionary conservation. This has proven successful for comparisons between closely related species such as human–primate or human–mouse, but also holds true for distant evolutionary comparisons, such as human–fish or human–bird. In this review we provide support for the utility of cross-species sequence comparisons by illustrating several applications of this strategy, including the identification of new genes and functional non-coding sequences. We also discuss emerging concepts as this field matures, such as how to properly select which species for comparison, which may differ significantly between independent studies.     

Population genetic inference from genomic sequence variation

Population genetics has evolved from a theory-driven field with little empirical data into a data-driven discipline in which genome-scale data sets test the limits of available models and computational analysis methods. In humans and a few model organisms, analyses of whole-genome sequence polymorphism data are currently under way. And in light of the falling costs of next-generation sequencing technologies, such studies will soon become common in many other organisms as well. Here, we assess the challenges to analyzing whole-genome sequence polymorphism data, and we discuss the potential of these data to yield new insights concerning population history and the genomic prevalence of natural selection.Population genetics originated in the first half of the 20th century as a field driven by theoretical insights but with very limited empirical data, and for several decades theory remained well ahead of the data available to test its predictions. This situation began to change with the emergence of protein electrophoretic variation (e.g., Harris 1966; Hubby and Lewontin 1966; Lewontin and Hubby 1966; Lewontin 1972). Since the introduction of polymerase chain reaction (PCR) technology, the scale of data has grown exponentially, as restriction fragment length polymorphisms, microsatellites, and small-scale DNA sequencing (e.g., Kreitman 1983) broadened the range of questions open to empirical investigation. With the recent flood of genome-wide single nucleotide polymorphism (SNP) data, and now the advent of fully sequenced population samples of genomes, population genetics has become a fundamentally data-driven discipline.As the data-generating capacity of population genetics has grown, so has its importance in related disciplines. Population genetics is now at the core of analyses in molecular ecology and conservation biology, where it provides a framework for understanding the distribution of genetic variability among populations and for inferring the demographic histories of natural populations from molecular data. It is also central in studies of molecular evolution, providing a foundation for understanding the contributions of mutation, genetic drift, and natural selection in the evolution of genes and genomes. Finally, with the focus in human genetics on association mapping (Lander and Schork 1994; Risch and Merikangas 1996; Pritchard et al. 2000a), admixture mapping (Chakraborty and Weiss 1988; Stephens et al. 1994), relatedness mapping (Cheung and Nelson 1998; Albrechtsen et al. 2009), and related techniques, population genetics has found its way into medical genetics as a core analytical discipline.Currently, large-scale next-generation sequencing projects are moving forward in a number of organisms including humans, Drosophila, and Arabidopsis. Before the availability of such data, several genome-wide studies have been completed using Sanger sequencing (e.g., Bustamante et al. 2005; Begun et al. 2007) or SNP genotyping (Hinds et al. 2005; The International HapMap Consortium 2005, 2007; Jakobsson et al. 2008; JZ Li et al. 2008). The low-coverage sequencing of six Drosophila simulans genomes by Begun et al. (2007) was an important step forward for population genomics, and yet today one Illumina Genome Analyzer run can produce substantially more data than were present in that study. This expanded data-generating capacity has led to the recent public release of more than 40 Drosophila melanogaster genomes (http://www.dpgp.org), along with the recent published analysis of 40 silkworm genomes (Xia et al. 2009).The challenges associated with SNP data obtained by genotyping (particularly ascertainment bias) have been discussed extensively elsewhere (e.g., Kuhner et al. 2000; Nielsen 2000, 2004; Marth et al. 2004) and will not be a focus of this review. Instead, we focus on the analysis of next-generation sequencing data, which is likely to be the foundation of many future population genomic studies. Analysis of these data is currently in its infancy. And yet, if the cost of next-generation sequencing continues to decline, genome-wide population genetic data will likely be available not only for humans and the main model organisms, but for most organisms on which active research is being carried out in genetics, ecology, or evolution. Our ability to obtain samples and to propose good biological questions will be the limiting factor—instead of the sequencing costs. In the anticipation of this future, we review some of the fundamental issues relating to the analysis of genome-wide population genetic data.     

Alfresco--a workbench for comparative genomic sequence analysis

Comparative analysis of genomic sequences provides a powerful tool for identifying regions of potential biologic function; by comparing corresponding regions of genomes from suitable species, protein coding or regulatory regions can be identified by their homology. This requires the use of several specific types of computational analysis tools. Many programs exist for these types of analysis; not many exist for overall view/control of the results, which is necessary for large-scale genomic sequence analysis. Using Java, we have developed a new visualization tool that allows effective comparative genome sequence analysis. The program handles a pair of sequences from putatively homologous regions in different species. Results from various different existing external analysis programs, such as database searching, gene prediction, repeat masking, and alignment programs, are visualized and used to find corresponding functional sequence domains in the two sequences. The user interacts with the program through a graphic display of the genome regions, in which an independently scrollable and zoomable symbolic representation of the sequences is shown. As an example, the analysis of two unannotated orthologous genomic sequences from human and mouse containing parts of the UTY locus is presented.