Exploring rare differences in mitochondrial genome between MZ twins using Ion Torrent semiconductor sequencing

Metagenomic approaches and opportunities in arid soil research

Arid soils present unique challenges and opportunities for studying microbial diversity and bioactive potential due to the extreme environmental conditions they bear. This review article investigates soil metagenomics as an emerging tool to explore complex microbial dynamics and unexplored bioactive potential in harsh environments. Utilizing advanced metagenomic techniques, diverse microbial populations that grow under extreme conditions such as high temperatures, salinity, high pH levels, and exposure to metals and radiation can be studied. The use of extremophiles to discover novel natural products and biocatalysts emphasizes the role of functional metagenomics in identifying enzymes and secondary metabolites for industrial and pharmaceutical purposes. Metagenomic sequencing uncovers a complex network of microbial diversity, offering significant potential for discovering new bioactive compounds. Functional metagenomics, connecting taxonomic diversity to genetic capabilities, provides a pathway to identify microbes' mechanisms to synthesize valuable secondary metabolites and other bioactive substances. Contrary to the common perception of desert soil as barren land, the metagenomic analysis reveals a rich diversity of life forms adept at extreme survival. It provides valuable findings into their resilience and potential applications in biotechnology. Moreover, the challenges associated with metagenomics in arid soils, such as low microbial biomass, high DNA degradation rates, and DNA extraction inhibitors and strategies to overcome these issues, outline the latest advancements in extraction methods, high-throughput sequencing, and bioinformatics. The importance of metagenomics for investigating diverse environments opens the way for future research to develop sustainable solutions in agriculture, industry, and medicine. Extensive studies are necessary to utilize the full potential of these powerful microbial communities. This research will significantly improve our understanding of microbial ecology and biotechnology in arid environments.

Metabolomics efficiently discriminates monozygotic twins in peripheral blood

Monozygotic (MZ) twins cannot be distinguished using conventional forensic STR typing because they present identical STR genotypings. However, MZ twins do not always live in the same environment and often have different dietary and other lifestyle habits. Metabolic profiles are deyermined by individual characteristics and are also influenced by the environment in which they live. Therefore, they are potential markers capable of identifying MZ twins. Moreover, the production of proteins varies from organism to organism and is influenced by both the physiological state of the body and the external environment. Hence, we used metabolomics and proteomics to identify metabolites and proteins in peripheral blood to discriminate MZ twins. We identified 1749 known metabolites and 622 proteins in proteomic analysis. The metabolic profiles of four pairs of MZ twins revealed minor differences in intra-MZ twins and major differences in inter-MZ twins. Each pair of MZ twins exhibited distinct characteristics, and four metabolites-methyl picolinate, acesulfame, paraxanthine, and phenylbenzimidazole sulfonic acid-were observed in all four MZ twin pairs. These four differential exogenous metabolites conincidently show that the different external environments and life styles can be well distinguished by metabolites, considering that twins do not all have the same eating habits and living environments. Moreover, MZ twins showed different protein profiles in serum but not in whole blood. Thus, our results indicate that differential metabolites provide potential biomarkers for the personal identification of MZ twins in forensic medicine.

Advances in forensic genetics: Exploring the potential of long read sequencing

DNA-based technologies have been used in forensic practice since the mid-1980s. While PCR-based STR genotyping using Capillary Electrophoresis remains the gold standard for generating DNA profiles in routine casework worldwide, the research community is continually seeking alternative methods capable of providing additional information to enhance discrimination power or contribute with new investigative leads. Oxford Nanopore Technologies (ONT) and PacBio third-generation sequencing have revolutionized the field, offering real-time capabilities, single-molecule resolution, and long-read sequencing (LRS). ONT, the pioneer of nanopore sequencing, uses biological nanopores to analyze nucleic acids in real-time. Its devices have revolutionized sequencing and may represent an interesting alternative for forensic research and routine casework, given that it offers unparalleled flexibility in a portable size: it enables sequencing approaches that range widely from PCR-amplified short target regions (e.g., CODIS STRs) to PCR-free whole transcriptome or even ultra-long whole genome sequencing. Despite its higher error rate compared to Illumina sequencing, it can significantly improve accuracy in read alignment against a reference genome or de novo genome assembly. This is achieved by generating long contiguous sequences that correctly assemble repetitive sections and regions with structural variation. Moreover, it allows real-time determination of DNA methylation status from native DNA without the need for bisulfite conversion. LRS enables the analysis of thousands of markers at once, providing phasing information and eliminating the need for multiple assays. This maximizes the information retrieved from a single invaluable sample. In this review, we explore the potential use of LRS in different forensic genetics approaches.

DNA identification of monozygotic twins

This study details the differentiation of identical twins based on single mutational base differences. There were three pairs of male monozygotic (MZ) twins in this study. DNA samples from blood, a buccal swab or saliva from each individual were all initially genotyped using 22 autosomal STR and 27 Y-STR loci. Preliminary screening confirmed there were no differences in the STR data between each pair of MZ twins. Whole Genome Sequence (WGS) data were generated from DNA extracted from the three body fluids from each individual. Kinship coefficients with 0.4254, 0.4557 and 0.4543 from 3 twins were generated based on WGS data to further confirm that their relationship was that of MZ twins. The fastq data generated by the Illumina Hiseq 2000 between MZ twins were then treated as "normal" as opposed to "tumor" using commercially available software tools to identify mutational single base changes. Sanger DNA sequencing confirmed there were 1, 5 and 9 single base changes found in WGS data from each of the three MZ twin sets. There was individual variation in the mutational base changes when comparing data from the three body fluids. The methods used in this study to differentiate MZ twins based on WGS data can readily be performed in many operational forensic DNA laboratories using user friendly software.

Capability of the iSeq 100 sequencing system from Illumina to detect low-level substitutions in the human mitochondrial genome

The significance of mtDNA heteroplasmy in forensic and medical genetics has increased recently because massively parallel sequencing (MPS) technologies enable more accurate and precise detection of minority nucleotide variants. Recent reports have shown that detection of low-level substitutions may depend on library preparation or sequencing protocol, and can vary for different MPS platforms. The MiSeq (Illumina) and Ion S5 (Thermo Fisher Scientific) are mainly used for heteroplasmy detection, but no data are available regarding the iSeq 100, an Illumina platform of the smallest throughput. Notably, unlike the other systems, the machine utilizes sequencing by synthesis one-channel chemistry to determine DNA sequences. Thus, it is important to verify the capability of the iSeq 100 system to determine mitochondrial haplotypes and detect heteroplasmic substitutions. In this study, previously determined entire mitochondrial genomes were sequenced with the iSeq 100 system. Each mitogenome was sequenced twice, giving approximately 2000x and 10,000x coverage. All homoplasmic mutations and minority variants above the 19 % level detected with the iSeq 100 system were also observed after dideoxy sequencing. Moreover, all heteroplasmic substitutions above the 2 % level were consistently detected with SBS one-channel chemistry. However, detection of low-level mtDNA variants may require additional, confirmatory experiments. In summary, the iSeq 100 system enables reproducible and accurate sequencing of human mitochondrial genomes. Detection of mtDNA minority variants depends on the laboratory protocol and sequencing platform used, but homoplasmic mutations and heteroplasmy above the 2 % level can be correctly detected with the iSeq 100 system.