Differentiating between monozygotic twins through next-generation mitochondrial genome sequencing

Monozygotic (MZ) twins, considered to be genetically identical, cannot be distinguished from one another by standard forensic DNA testing. A recent study employed whole genome sequencing to identify extremely rare mutations and reported that mutation analysis could be used to differentiate between MZ twins. Compared with nuclear DNA, mitochondrial DNA (mtDNA) has higher mutation rates; therefore, minor differences theoretically exist in MZ twins' mitochondrial genome (mtGenome). However, conventional Sanger-type sequencing (STS) is neither amenable to, nor feasible for, the detection of low-level sequence variants. The recent introduction of massively parallel sequencing (MPS) has the capability to sequence many targeted regions of multiple samples simultaneously with desirable depth of coverage. Thus, the aim of this study was to assess whether full mtGenome sequencing analysis can be used to differentiate between MZ twins. Ten sets of MZ twins provided blood samples that underwent extraction, quantification, mtDNA enrichment, library preparation, and ultra-deep sequencing. Point heteroplasmies were observed in eight sets of MZ twins, and a single nucleotide variant (nt15301) was detected in five sets of MZ twins. Thus, this study demonstrates that ultra-deep mtGenome sequencing could be used to differentiate between MZ twins.     

High-resolution melt analysis of DNA methylation to discriminate semen in biological stains

The goal of this study was to develop a method for the detection of semen in biological stains using high-resolution melt (HRM) analysis and DNA methylation. To perform this task, we used an epigenetic locus that targets a tissue-specific differentially methylated region for semen. This specific locus, ZC3H12D, contains methylated CpG sites that are hypomethylated in semen and hypermethylated in blood and saliva. Using this procedure, DNA from forensic stains can be isolated, processed using bisulfite-modified polymerase chain reaction (PCR), and detected by real-time PCR with HRM capability. The method described in this article is robust; we were able to obtain results from samples with as little as 1 ng of genomic DNA. Samples inhibited by humic acid still produced reliable results. Furthermore, the procedure is specific and will not amplify non-bisulfite-modified DNA. Because this process can be performed using real-time PCR and is quantitative, it fits nicely within the workflow of current forensic DNA laboratories. As a result, it should prove to be a useful technique for processing trace evidence samples for serological analysis.     

同卵双胞胎在复杂性状DNA甲基化调控机制研究中的应用

同卵双胞胎来源于同一个受精卵,DNA序列基本一致,但在某些重要表型上如复杂疾病,并不完全一样。利用表型不一致的同卵双胞胎进行研究,能在遗传背景、母体效应、年龄性别效应等一致的基础上,深入研究分析复杂性状的表观调控机制。而DNA甲基化是最为稳定的一类表观遗传修饰。在人类中,利用同卵双胞胎对印记异常疾病、精神类疾病、自身免疫病及癌症等疾病的DNA甲基化调控研究已经揭示了多个致病基因,为研究疾病的表观调控以及表观遗传学药物的应用打下了基础。本文着重对同卵双胞胎DNA甲基化状态、DNA甲基化遗传力计算以及复杂性状DNA甲基化调控的研究应用及其进展展开综述,以期为复杂性状表观调控机制研究提供借鉴和参考。     

Methylomic analysis of monozygotic twins discordant for childhood psychotic symptoms

Childhood psychotic symptoms are associated with increased rates of schizophrenia, other psychiatric disorders, and suicide attempts in adulthood; thus, elucidating early risk indicators is crucial to target prevention efforts. There is considerable discordance for psychotic symptoms between monozygotic twins, indicating that child-specific non-genetic factors must be involved. Epigenetic processes may constitute one of these factors and have not yet been investigated in relation to childhood psychotic symptoms. Therefore, this study explored whether differences in DNA methylation at age 10 were associated with monozygotic twin discordance for psychotic symptoms at age 12. The Environmental Risk (E-Risk) Longitudinal Twin Study cohort of 2,232 children (1,116 twin pairs) was assessed for age-12 psychotic symptoms and 24 monozygotic twin pairs discordant for symptoms were identified for methylomic comparison. Children provided buccal samples at ages 5 and 10. DNA was bisulfite modified and DNA methylation was quantified using the Infinium HumanMethylation450 array. Differentially methylated positions (DMPs) associated with psychotic symptoms were subsequently tested in post-mortem prefrontal cortex tissue from adult schizophrenia patients and age-matched controls. Site-specific DNA methylation differences were observed at age 10 between monozygotic twins discordant for age-12 psychotic symptoms. Similar DMPs were not found at age 5. The top-ranked psychosis-associated DMP (cg23933044), located in the promoter of the C5ORF42 gene, was also hypomethylated in post-mortem prefrontal cortex brain tissue from schizophrenia patients compared to unaffected controls. These data tentatively suggest that epigenetic variation in peripheral tissue is associated with childhood psychotic symptoms and may indicate susceptibility to schizophrenia and other mental health problems.     

Genome-wide DNA methylation variability in adolescent monozygotic twins followed since birth

DNA methylation patterns are characterized by highly conserved developmental programs, but allow for divergent gene expression resulting from stochastic epigenetic drift or divergent environments. Genome-wide methylation studies in monozygotic (MZ) twins are providing insight into the extent of epigenetic variation that occurs, irrespective of genotype. However, little is known about the variability of DNA methylation patterns in adolescence, a period involving significant and rapid physical, emotional, social, and neurodevelopmental change. Here, we assessed genome-wide DNA methylation using the 450?K Illumina BeadChip in a sample of 37 MZ twin pairs followed longitudinally since birth to investigate: 1) the extent of variation in DNA methylation in identical genetic backgrounds in adolescence and; 2) whether these variations are randomly distributed or enriched in particular functional pathways. We also assessed stability of DNA methylation over 3–6 months to distinguish stable trait-like and variable state-like genes. A pathway analysis found high within-pair variability in genes associated with development, cellular mechanisms, tissue and cell morphology, and various disorders. Test-retest analyses performed in a sub-sample of 8 twin pairs demonstrated enrichment in gene pathways involved in organismal development, cellular growth and proliferation, cell signaling, and particular disorders. The variability found in functional gene pathways may plausibly underlie phenotypic differences in this adolescent MZ twin sample. Furthermore, we assessed stability of methylation over 3–6 months and found that some genes were stable while others were unstable, suggesting that the methylome remains dynamic in adolescence and that dynamic sites tend to be organized in certain gene pathways.     

A systematic comparison of quantitative high-resolution DNA methylation analysis and methylation-specific PCR

Assessment of DNA methylation has become a critical factor for the identification, development and application of methylation based biomarkers. Here we describe a systematic comparison of a quantitative high-resolution mass spectrometry-based approach (MassARRAY), pyrosequencing and the broadly used methylation-specific PCR (MSP) technique analyzing clinically relevant epigenetically silenced genes in acute myeloid leukemia (AML). By MassARRAY and pyrosequencing, we identified significant DNA methylation differences at the ID4 gene promoter and in the 5′ region of members of the SFRP gene family in 62 AML patients compared with healthy controls. We found a good correlation between data obtained by MassARRAY and pyrosequencing (correlation coefficient R² = 0.88). MSP-based assessment of the identical samples showed less pronounced differences between AML patients and controls. By direct comparison of MSP-derived and MassARRAY-based methylation data as well as pyrosequencing, we could determine overestimation of DNA methylation data by MSP. We found sequence-context dependent highly variable cut-off values of quantitative DNA methylation values serving as discriminator for the two MSP methylation categories. Moreover, good agreements between quantitative methods and MSP could not be achieved for all investigated loci. Significant correlation of the quantitative assessment but not of MSP-derived methylation data with clinically important characteristics in our patient cohort demonstrated clinical relevance of quantitative DNA methylation assessment. Taken together, while MSP is still the most commonly applied technique for DNA methylation assessment, our data highlight advantages of quantitative approaches for precise characterization and reliable biomarker use of aberrant DNA methylation in primary patient samples, particularly.     

Genome-wide DNA methylation variability in adolescent monozygotic twins followed since birth

DNA methylation patterns are characterized by highly conserved developmental programs, but allow for divergent gene expression resulting from stochastic epigenetic drift or divergent environments. Genome-wide methylation studies in monozygotic (MZ) twins are providing insight into the extent of epigenetic variation that occurs, irrespective of genotype. However, little is known about the variability of DNA methylation patterns in adolescence, a period involving significant and rapid physical, emotional, social, and neurodevelopmental change. Here, we assessed genome-wide DNA methylation using the 450 K Illumina BeadChip in a sample of 37 MZ twin pairs followed longitudinally since birth to investigate: 1) the extent of variation in DNA methylation in identical genetic backgrounds in adolescence and; 2) whether these variations are randomly distributed or enriched in particular functional pathways. We also assessed stability of DNA methylation over 3–6 months to distinguish stable trait-like and variable state-like genes. A pathway analysis found high within-pair variability in genes associated with development, cellular mechanisms, tissue and cell morphology, and various disorders. Test-retest analyses performed in a sub-sample of 8 twin pairs demonstrated enrichment in gene pathways involved in organismal development, cellular growth and proliferation, cell signaling, and particular disorders. The variability found in functional gene pathways may plausibly underlie phenotypic differences in this adolescent MZ twin sample. Furthermore, we assessed stability of methylation over 3–6 months and found that some genes were stable while others were unstable, suggesting that the methylome remains dynamic in adolescence and that dynamic sites tend to be organized in certain gene pathways.     

Sensitive quantitative analysis of murine LINE1 DNA methylation using high resolution melt analysis

We present here the first high resolution melt (HRM) assay to quantitatively analyze differences in murine DNA methylation levels utilizing CpG methylation of Long Interspersed Elements-1 (LINE1 or L1). By calculating the integral difference in melt temperature between samples and a methylated control, and biasing PCR primers for unmethylated CpGs, the assay demonstrates enhanced sensitivity to detect changes in methylation in a cell line treated with low doses of 5-aza-2’-deoxycytidine (5-aza). The L1 assay was confirmed to be a good marker of changes in DNA methylation of L1 elements at multiple regions across the genome when compared with total 5-methyl-cytosine content, measured by Liquid Chromatography-Mass Spectrometry (LC-MS). The assay design was also used to detect changes in methylation at other murine repeat elements (B1 and Intracisternal-A-particle Long-terminal Repeat elements). Pyrosequencing analysis revealed that L1 methylation changes were non-uniform across the CpGs within the L1-HRM target region, demonstrating that the L1 assay can detect small changes in CpG methylation among a large pool of heterogeneously methylated DNA templates. Application of the assay to various tissues from Balb/c and CBA mice, including previously unreported peripheral blood (PB), revealed a tissue hierarchy (from hypermethylated to hypomethylated) of PB > kidney > liver > prostate > spleen. CBA mice demonstrated overall greater methylation than Balb/c mice, and male mice demonstrated higher tissue methylation compared with female mice in both strains. Changes in DNA methylation have been reported to be an early and fundamental event in the pathogenesis of many human diseases, including cancer. Mouse studies designed to identify modulators of DNA methylation, the critical doses, relevant time points and the tissues affected are limited by the low throughput nature and exorbitant cost of many DNA methylation assays. The L1 assay provides a high throughput, inexpensive and sensitive screening tool for identifying and characterizing DNA methylation changes to L1 elements at multiple regions across the genome.     

A systematic comparison of quantitative high-resolution DNA methylation analysis and methylation-specific PCR

Assessment of DNA methylation has become a critical factor for the identification, development and application of methylation based biomarkers. Here we describe a systematic comparison of a quantitative high-resolution mass spectrometry-based approach (MassARRAY), pyrosequencing and the broadly used methylation-specific PCR (MSP) technique analyzing clinically relevant epigenetically silenced genes in acute myeloid leukemia (AML). By MassARRAY and pyrosequencing, we identified significant DNA methylation differences at the ID4 gene promoter and in the 5′ region of members of the SFRP gene family in 62 AML patients compared with healthy controls. We found a good correlation between data obtained by MassARRAY and pyrosequencing (correlation coefficient R² = 0.88). MSP-based assessment of the identical samples showed less pronounced differences between AML patients and controls. By direct comparison of MSP-derived and MassARRAY-based methylation data as well as pyrosequencing, we could determine overestimation of DNA methylation data by MSP. We found sequence-context dependent highly variable cut-off values of quantitative DNA methylation values serving as discriminator for the two MSP methylation categories. Moreover, good agreements between quantitative methods and MSP could not be achieved for all investigated loci. Significant correlation of the quantitative assessment but not of MSP-derived methylation data with clinically important characteristics in our patient cohort demonstrated clinical relevance of quantitative DNA methylation assessment. Taken together, while MSP is still the most commonly applied technique for DNA methylation assessment, our data highlight advantages of quantitative approaches for precise characterization and reliable biomarker use of aberrant DNA methylation in primary patient samples, particularly.     

Age patterns of intra‐pair DNA methylation discordance in twins: Sex difference in epigenomic instability and implication on survival

Aging is a biological process linked to specific patterns and changes in the epigenome. We hypothesize that age‐related variation in the DNA methylome could reflect cumulative environmental modulation to the epigenome which could impact epigenomic instability and survival differentially by sex. To test the hypothesis, we performed sex‐stratified epigenome‐wide association studies on age‐related intra‐pair DNA methylation discordance in 492 twins aged 56–80 years. We identified 3084 CpGs showing increased methylation variability with age (FDR < 0.05, 7 CpGs with p < 1e‐07) in male twins but no significant site found in female twins. The results were replicated in an independent cohort of 292 twins aged 30–74 years with 37% of the discovery CpGs successfully replicated in male twins. Functional annotation showed that genes linked to the identified CpGs were significantly enriched in signaling pathways, neurological functions, extracellular matrix assembly, and cancer. We further explored the implication of discovery CpGs on individual survival in an old cohort of 224 twins (220 deceased). In total, 264 CpGs displayed significant association with risk of death in male twins. In female twins, 175 of the male discovery CpGs also showed non‐random correlation with mortality. Intra‐pair comparison showed that majority of the discovery CpGs have higher methylation in the longer‐lived twins suggesting that loss of DNA methylation during aging contributes to increased risk of death which is more pronounced in male twins. In conclusion, age‐related epigenomic instability in the DNA methylome is more evident in males than in females and could impact individual survival and contribute to sex difference in human lifespan.     

Detection of extended-spectrum beta-lactamase cefotaxime resistance and virulence genes in Escherichia coli by duplex quantitative real-time PCR and melt curve analysis

Emerging virulent and antibiotic-resistant pathogens present a global public health risk. Routine monitoring of prevalence within the clinical, environmental and food production setting is vital. Quantitative real-time PCR (qPCR) coupled with melting curve analysis can rapidly and accurately characterize pathogens. We evaluated commercial qPCR mixes based on SYBR Green l and EvaGreen for developing an assay for simultaneously detecting antibiotic resistance (extended-spectrum beta-lactamase, ESBL and bla_CTX-M) and virulence (stx1, stx2 and eae) genes in Escherichia coli (n = 12) isolated from irrigation water and irrigated vegetables. SYBR Green and EvaGreen detected two amplicons (stx1 and bla_CTX-M) and (stx2 and eae) in a single reaction. A higher mean melting temperature (T_m) separation between targeted amplicons and smoother melting curves were observed with the EvaGreen suggesting better performance when targeting multiple amplicons. Through simple stepwise optimization of DNA, cycling, primers, reaction volume and melting curve scanning rate, we adopted a conventional PCR assay for detection of large amplicons (375–1580 bp) for qPCR. This may facilitate development of cost-effective tailor-made assays for rapid and accurate monitoring of emerging foodborne and environmental pathogens in resource constrained regions.     

Synergy between DNA polymerases increases polymerase chain reaction inhibitor tolerance in forensic DNA analysis

The success rate of diagnostic polymerase chain reaction (PCR) analysis is lowered by inhibitory substances present in the samples. Recently, we showed that tolerance to PCR inhibitors in crime scene saliva stains can be improved by replacing the standard DNA polymerase AmpliTaq Gold with alternative DNA polymerase-buffer systems (Hedman et al., BioTechniques 47 (2009) 951-958). Here we show that blending inhibitor-resistant DNA polymerase-buffer systems further increases the success rate of PCR for various types of real crime scene samples showing inhibition. For 34 of 42 “inhibited” crime scene stains, the DNA profile quality was significantly improved using a DNA polymerase blend of ExTaq Hot Start and PicoMaxx High Fidelity compared with AmpliTaq Gold. The significance of the results was confirmed by analysis of variance. The blend performed as well as, or better than, the alternative DNA polymerases used separately for all tested sample types. When used separately, the performance of the DNA polymerases varied depending on the nature of the sample. The superiority of the blend is discussed in terms of complementary effects and synergy between the DNA polymerase-buffer systems.     

Common methods for cytosine methylation analysis in DNA

The review considers the methods most commonly used to detect DNA methylation, their advantages, potential limitations, and selection for various purposes. A detailed protocol is described for bisulfite treatment, which is used as a preliminary step in the majority of DNA methylation assays.     

Gel‐free species identification using melt‐curve analysis

DNA‐based identification of organisms is an important tool in biosecurity, ecological monitoring and wildlife forensics. Current methods usually involve post‐polymerase chain reaction (PCR) manipulations (e.g. restriction digest, gel electrophoresis), which add to the expense and time required for processing samples, and may introduce error. We developed a method of species identification that uses species‐specific primers and melt‐curve analysis, and avoids post‐PCR manipulation of samples. The method was highly accurate when trialled on DNA from six large carnivore species from Tasmania, Australia. Because of its flexibility and cost‐effectiveness, this method should find wide use in many areas of applied biological science.     

Application of fluorescence melting curve analysis for dual DNA detection using single peptide nucleic acid probe

Peptide nucleic acid (PNA) is an artificially synthesized polymer. PNA oligomers show greater specificity in binding to complementary DNAs. Using this PNA, fluorescence melting curve analysis (FMCA) for dual detection was established. Genomic DNA of Mycoplasma fermentans and Mycoplasma hyorhinis was used as a template DNA model. By using one PNA probe, M. fermentans and M. hyorhinis could be detected and distinguished simultaneously in a single tube. The developed PNA probe is a dual‐labeled probe with fluorescence and quencher dye. The PNA probe perfectly matches the M. fermentans 16s rRNA gene, with a melting temperature of 72°C. On the other hand, the developed PNA probe resulted in a mismatch with the 16s rRNA gene of M. hyorhinis, with a melting temperature of 44–45°C. The melting temperature of M. hyorhinis was 27–28°C lower than that of M. fermentans. Due to PNA's high specificity, this larger melting temperature gap is easy to create. FMCA using PNA offers an alternative method for specific DNA detection. © 2015 American Institute of Chemical Engineers Biotechnol. Prog., 31:730–735, 2015     

A novel mutation screening system for Ehlers-Danlos Syndrome, vascular type by high-resolution melting curve analysis in combination with small amplicon genotyping using genomic DNA

Ehlers-Danlos syndrome, vascular type (vEDS) (MIM #130050) is an autosomal dominant disorder caused by type III procollagen gene (COL3A1) mutations. Most COL3A1 mutations are detected by using total RNA from patient-derived fibroblasts, which requires an invasive skin biopsy. High-resolution melting curve analysis (hrMCA) has recently been developed as a post-PCR mutation scanning method which enables simple, rapid, cost-effective, and highly sensitive mutation screening of large genes. We established a hrMCA method to screen for COL3A1 mutations using genomic DNA. PCR primers pairs for COL3A1 (52 amplicons) were designed to cover all coding regions of the 52 exons, including the splicing sites. We used 15 DNA samples (8 validation samples and 7 samples of clinically suspected vEDS patients) in this study. The eight known COL3A1 mutations in validation samples were all successfully detected by the hrMCA. In addition, we identified five novel COL3A1 mutations, including one deletion (c.2187delA) and one nonsense mutation (c.2992C>T) that could not be determined by the conventional total RNA method. Furthermore, we established a small amplicon genotyping (SAG) method for detecting three high frequency coding-region SNPs (rs1800255:G>A, rs1801184:T>C, and rs2271683:A>G) in COL3A1 to differentiate mutations before sequencing. The use of hrMCA in combination with SAG from genomic DNA enables rapid detection of COL3A1 mutations with high efficiency and specificity. A better understanding of the genotype–phenotype correlation in COL3A1 using this method will lead to improve in diagnosis and treatment.     

Exploratory data analysis of DNA microarrays by multivariate curve resolution

In this work, the application of a multivariate curve resolution procedure based on alternating least squares optimization (MCR-ALS) for the analysis of data from DNA microarrays is proposed. For this purpose, simulated and publicly available experimental data sets have been analyzed. Application of MCR-ALS, a method that operates without the use of any training set, has enabled the resolution of the relevant information about different cancer lines classification using a set of few components; each of these defined by a sample and a pure gene expression profile. From resolved sample profiles, a classification of samples according to their origin is proposed. From the resolved pure gene expression profiles, a set of over- or underexpressed genes that could be related to the development of cancer diseases has been selected. Advantages of the MCR-ALS procedure in relation to other previously proposed procedures such as principal component analysis are discussed.