Assessing DNA sequence variations in human ESTs in a phylogenetic context using high-density oligonucleotide arrays

Autophagy Is Involved in Stellate Ganglion Block Reversing Posthemorrhagic Shock Mesenteric Lymph-Mediated Vascular Hyporeactivity

Objective: The aim of this study was to clarify the role of autophagy in stellate ganglion block (SGB) reversing posthemorrhagic shock mesenteric lymph (PHSML)-mediated vascular hyporeactivity.

Methods: Hemorrhagic shock model in conscious rats was employed to observe the effects of SGB (0.2 ml of 0.25% ropivacaine hydrochloride hydrate) and autophagy inhibitor 3-methyladenine (3-MA; 30 mg/kg) on the vascular reactivity of second-order rat mesenteric arteries in vitro, while the effects of PHSML (1 ml/kg) and autophagy agonist rapamycin (Rapa, 10 mg/kg) on the beneficial effect of SGB were investigated. The cellular viability, contractility, and autophagy-related protein expressions in vascular smooth muscle cells (VSMCs) were detected following treatments of PHSML, PHSML obtained from the rats that underwent hemorrhagic shock plus SGB (PHSML-SGB), and PHSML plus 3-MA (5 mM), respectively.

Results: Hemorrhagic shock significantly decreased the vascular reactivity to gradient norepinephrine (NE), which is reversed by the SGB treatment and 3-MA administration. On the contrary, PHSML intravenous infusion and Rapa administration inhibited the vascular contractile responses in rats that underwent hemorrhagic shock plus SGB treatment. PHSML treatment significantly inhibited the cellular viability and contractility in VSMCs, increased the expressions of LC3-II and Beclin 1, and decreased the expression of p62, along with opposite appearances in these indices following PHSML-SGB treatment. In addition, 3-MA counteracted the adverse roles of PHSML in these indices in VSMCs.

Conclusion: SGB inhibits PHSML-mediated vascular hyporeactivity by reducing the excessive autophagy in VSMCs.

Shifting paradigm of association studies: value of rare single-nucleotide polymorphisms

Currently, single-nucleotide polymorphisms (SNPs) with minor allele frequency (MAF) of >5% are preferentially used in case-control association studies of common human diseases. Recent technological developments enable inexpensive and accurate genotyping of a large number of SNPs in thousands of cases and controls, which can provide adequate statistical power to analyze SNPs with MAF <5%. Our purpose was to determine whether evaluating rare SNPs in case-control association studies could help identify causal SNPs for common diseases. We suggest that slightly deleterious SNPs (sdSNPs) subjected to weak purifying selection are major players in genetic control of susceptibility to common diseases. We compared the distribution of MAFs of synonymous SNPs with that of nonsynonymous SNPs (1) predicted to be benign, (2) predicted to be possibly damaging, and (3) predicted to be probably damaging by PolyPhen. Our sources of data were the International HapMap Project, ENCODE, and the SeattleSNPs project. We found that the MAF distribution of possibly and probably damaging SNPs was shifted toward rare SNPs compared with the MAF distribution of benign and synonymous SNPs that are not likely to be functional. We also found an inverse relationship between MAF and the proportion of nsSNPs predicted to be protein disturbing. On the basis of this relationship, we estimated the joint probability that a SNP is functional and would be detected as significant in a case-control study. Our analysis suggests that including rare SNPs in genotyping platforms will advance identification of causal SNPs in case-control association studies, particularly as sample sizes increase.

Tracing genetic history of modern humans using X-chromosome lineages

Genetic variability of the compound interrupted microsatellite DXS1238, in intron 44 of the dystrophin gene, provides evidence for a complex structure of the ancestral population that led to the emergence of modern humans. We sequenced DXS1238 in 600 X-chromosomes from all over the world. Forty four percent of African-specific chromosomes belong to the ancestral lineage that did not participate in the out-of-Africa expansion and subsequent colonization of other continents. Based on the coalescence analysis these lineages separated from those that contributed to the out-of-Africa expansion 366 +/- 136 thousands years ago (Kya). Independently, the analysis of the variance in the repeat length and of the decay of the ancestral alleles of the two DXS1238 repeats, GT and GA, dates this separation at more than 200 Kya. This suggests a complex demographic history and genetic structure of the African melting pot that led to the emergence of modern humans and their out-of-Africa migration. The subsequent subdivisions of human populations among different continents appear to be preceded by even more structured population history within Africa itself, which resulted from a restricted gene flow between lineages allowing for genetic differences to accumulate. If the transition to modern humans occurred during that time, it necessarily follows that genes associated with this transformation spread between subpopulations via gene flow. Otherwise, in spite of subsequent anatomical variation, Homo sapiens as a species could have emerged in Africa already between 300 and 200 Kya, i.e. before the mitochondrial DNA and well before the Y-chromosome most recent common ancestors.

Patterns of variation in DNA segments upstream of transcription start sites

It is likely that evolutionary differences among species are driven by sequence changes in regulatory regions. Likewise, polymorphisms in the promoter regions may be responsible for interindividual differences at the level of populations. We present an unbiased survey of genetic variation in 2-kb segments upstream of the transcription start sites of 28 protein-coding genes, characterized in five population groups of different geographic origin. On average, we found 9.1 polymorphisms and 8.8 haplotypes per segment with corresponding nucleotide and haplotype diversities of 0.082% and 58%, respectively. We characterized these segments through different summary statistics, Hardy-Weinberg equilibria fixation index (Fst) estimates, and neutrality tests, as well as by analyzing the distributions of haplotype allelic classes, introduced here to assess the departure from neutrality and examined by coalescent simulations under a simple population model, assuming recombinations or different demography. Our results suggest that genetic diversity in some of these regions could have been shaped by purifying selection and driven by adaptive changes in the other, thus explaining the relatively large variance in the corresponding genetic diversity indices loci. However, some of these effects could be also due to linkage with surrounding sequences, and the neutralists' explanations cannot be ruled out given uncertainty in the underlying demographic histories and the possibility of random effects due to the small size of the studied segments.

GeneChip resequencing of the smallpox virus genome can identify novel strains: a biodefense application

We developed a set of seven resequencing GeneChips, based on the complete genome sequences of 24 strains of smallpox virus (variola virus), for rapid characterization of this human-pathogenic virus. Each GeneChip was designed to analyze a divergent segment of approximately 30,000 bases of the smallpox virus genome. This study includes the hybridization results of 14 smallpox virus strains. Of the 14 smallpox virus strains hybridized, only 7 had sequence information included in the design of the smallpox virus resequencing GeneChips; similar information for the remaining strains was not tiled as a reference in these GeneChips. By use of variola virus-specific primers and long-range PCR, 22 overlapping amplicons were amplified to cover nearly the complete genome and hybridized with the smallpox virus resequencing GeneChip set. These GeneChips were successful in generating nucleotide sequences for all 14 of the smallpox virus strains hybridized. Analysis of the data indicated that the GeneChip resequencing by hybridization was fast and reproducible and that the smallpox virus resequencing GeneChips could differentiate the 14 smallpox virus strains characterized. This study also suggests that high-density resequencing GeneChips have potential biodefense applications and may be used as an alternate tool for rapid identification of smallpox virus in the future.

Evaluation of affymetrix severe acute respiratory syndrome resequencing GeneChips in characterization of the genomes of two strains of coronavirus infecting humans

Severe acute respiratory syndrome (SARS) was discovered during a recent global outbreak of atypical pneumonia. A number of immunologic and molecular studies of the clinical samples led to the conclusion that a novel coronavirus (SARS-CoV) was associated with the outbreak. Later, a SARS resequencing GeneChip was developed by Affymetrix to characterize the complete genome of SARS-CoV on a single GeneChip. The present study was carried out to evaluate the performance of SARS resequencing GeneChips. Two human SARS-CoV strains (CDC#200301157 and Urbani) were resequenced by the SARS GeneChips. Five overlapping PCR amplicons were generated for each strain and hybridized with these GeneChips. The successfully hybridized GeneChips generated nucleotide sequences of nearly complete genomes for the two SARS-CoV strains with an average call rate of 94.6%. Multiple alignments of nucleotide sequences obtained from SARS GeneChips and conventional sequencing revealed full concordance. Furthermore, the GeneChip-based analysis revealed no additional polymorphic sites. The results of this study suggest that GeneChip-based genome characterization is fast and reproducible. Thus, SARS resequencing GeneChips may be employed as an alternate tool to obtain genome sequences of SARS-CoV strains pathogenic for humans in order to further understand the transmission dynamics of these viruses.

Strength of the purifying selection against different categories of the point mutations in the coding regions of the human genome

Using available Information on the total absolute size of the coding region of the human genome, data on codon usage and pseudogene-derived mutation rates for different single nucleotide substitutions we have estimated, for the human genome, the potential numbers of mutation events capable to produce: (1) nonsense; (2) missense (radical and conservative); (3) silent; (4) splice; and (5) protein-elongating (those changing wild-type stop codon into an amino acid encoding codon) mutations. We used the NCBI dbSNP database to retrieve data on the observed number of polymorphisms of each category. The fraction of polymorphisms in each category among all potential events in the genome depends on the strength of selection: the higher the rate of polymorphism, the weaker the selection. We used nonsense mutations as a referent group. Compared with nonsense mutations, we found that the relative selection coefficient against protein-elongating mutations was 21%, and the relative selection was 12% against missense mutations. Radical missense mutations were found to be four times more deleterious compared to conservative ones. Surprisingly, we found that silent mutations on average are not neutral; with the average harmfulness of 3% of nonsense mutations. Silent mutations may be deleterious when they affect splicing by creating cryptic donor-acceptor sites or by disturbing exonic splicing enhancers (ESESs). The average selection coefficient against splice mutations was 48% of that against nonsense mutations. Converting the relative selection coefficients into absolute ones using data on loss-of-function mutations in Saccharomyces cerevisiae and Caenorhabditis elegans, or by analysis of the expected frequency of mutations in the human genome, suggested that genetic drift could play a role in population dynamics of conservative missense and silent mutations.

Detection and characterization of DNA variants in the promoter regions of hundreds of human disease candidate genes

Understanding genetic variation might reveal the cause of individual susceptibility to a variety of complex diseases such as asthma, diabetes, and cancer. Current efforts to identify functional DNA variants have essentially been oriented toward single nucleotide polymorphisms (SNPs) found in coding regions of candidate genes since they have direct impact on the structure and function of the affected proteins. Abnormal expression of finely regulated genes could also lead to disequilibria in different metabolic pathways and/or biological processes. Thus investigation of SNPs in the promoter regions (pSNPs) of genes should improve our knowledge of the etiology of complex diseases. Unfortunately, little is known about the nature and the prevalence of pSNPs. We have analyzed 197 genes targeting the promoter region, arbitrarily defined as a 2-kb genomic segment upstream of the transcription initiation site, by screening by dHPLC for the presence of SNPs in a worldwide panel of 40 individuals. As a result 1838 pSNPs were detected, 75% of which modify (by either gain or loss) putative binding sites of known transcription factors. We also examined the distribution of these pSNPs among features such as conserved regions, repeats, and dinucleotides as well as Gene Ontology terms. This report supports the functional relevance of several of the pSNPs investigated and suggests a putative impact on disease susceptibility.

Tracking the evolution of the SARS coronavirus using high-throughput, high-density resequencing arrays

Mutations in the SARS-Coronavirus (SARS-CoV) can alter its clinical presentation, and the study of its mutation patterns in human populations can facilitate contact tracing. Here, we describe the development and validation of an oligonucleotide resequencing array for interrogating the entire 30-kb SARS-CoV genome in a rapid, cost-effective fashion. Using this platform, we sequenced SARS-CoV genomes from Vero cell culture isolates of 12 patients and directly from four patient tissues. The sequence obtained from the array is highly reproducible, accurate (>99.99% accuracy) and capable of identifying known and novel variants of SARS-CoV. Notably, we applied this technology to a field specimen of probable SARS and rapidly deduced its infectious source. We demonstrate that array-based resequencing-by-hybridization is a fast, reliable, and economical alternative to capillary sequencing for obtaining SARS-CoV genomic sequence on a population scale, making this an ideal platform for the global monitoring of SARS-CoV and other small-genome pathogens.

Haplotypes in the dystrophin DNA segment point to a mosaic origin of modern human diversity

Although Africa has played a central role in human evolutionary history, certain studies have suggested that not all contemporary human genetic diversity is of recent African origin. We investigated 35 simple polymorphic sites and one T(n) microsatellite in an 8-kb segment of the dystrophin gene. We found 86 haplotypes in 1,343 chromosomes from around the world. Although a classical out-of-Africa topology was observed in trees based on the variant frequencies, the tree of haplotype sequences reveals three lineages accounting for present-day diversity. The proportion of new recombinants and the diversity of the T(n) microsatellite were used to estimate the age of haplotype lineages and the time of colonization events. The lineage that underwent the great expansion originated in Africa prior to the Upper Paleolithic (27,000-56,000 years ago). A second group, of structurally distinct haplotypes that occupy a central position on the tree, has never left Africa. The third lineage is represented by the haplotype that lies closest to the root, is virtually absent in Africa, and appears older than the recent out-of-Africa expansion. We propose that this lineage could have left Africa before the expansion (as early as 160,000 years ago) and admixed, outside of Africa, with the expanding lineage. Contemporary human diversity, although dominated by the recently expanded African lineage, thus represents a mosaic of different contributions.