5 research outputs found

    CoreProbe: A Novel Algorithm for Estimating Relative Abundance Based on Metagenomic Reads

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    With the rapid development of high-throughput sequencing technology, the analysis of metagenomic sequencing data and the accurate and efficient estimation of relative microbial abundance have become important ways to explore the microbial composition and function of microbes. In addition, the accuracy and efficiency of the relative microbial abundance estimation are closely related to the algorithm and the selection of the reference sequence for sequence alignment. We introduced the microbial core genome as the reference sequence for potential microbes in a metagenomic sample, and we constructed a finite mixture and latent Dirichlet models and used the Gibbs sampling algorithm to estimate the relative abundance of microorganisms. The simulation results showed that our approach can improve the efficiency while maintaining high accuracy and is more suitable for high-throughput metagenomic data. The new approach was implemented in our CoreProbe package which provides a pipeline for an accurate and efficient estimation of the relative abundance of microbes in a community. This tool is available free of charge from the CoreProbe’s website: Access the Docker image with the following instruction: sudo docker pull panhongfei/coreprobe:1.0

    Genetic investigation and phylogenetic analysis of three Chinese ethnic groups using 16 X chromosome STR loci

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    Background: The value of using X-chromosomal short tandem repeats (X-STRs) as genetic markers in human genetics has been widely recognised. However, the 16 X-STRs in the Goldeneye® DNA ID System 17X kit have not been thoroughly applied. Aim: To investigate the genetic polymorphisms of 16 X-STRs in three main ethnic minorities (Tibetan, Mongolian and Kazakh) in China and to reveal the phylogenetic relationships of different populations. Subjects and methods: A total of 245 Tibetan, 168 Mongolian and 105 Kazakh individuals were genotyped using this 17X kit. The allelic frequencies and other parameters were calculated. An additional eight Chinese populations and nine global populations were included in genetic comparisons based on 16 or 8 overlapped X-STRs. Results: A total of 147 alleles were observed from 16 X-STRs with allelic frequencies ranging from 0.0024 to 0.7952 in the three studied groups. Based on 16 X-STRs, Tibetans, Kazakhs and Mongolians showed more similarity to each other and were genetically distinct from the Shanghai Han group; based on 8 X-STRs, only the genetic relationships between different nations could be clarified. Conclusions: Our study presents an extensive report on a novel X-STR assay in three Chinese ethnic groups and a comprehensive genetic comparison between different populations based on these X-STRs

    A Forensic Detection Method for Hallucinogenic Mushrooms via High-Resolution Melting (HRM) Analysis

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    In recent years, trafficking and abuse of hallucinogenic mushrooms have become a serious social problem. It is therefore imperative to identify hallucinogenic mushrooms of the genus Psilocybe for national drug control legislation. An internal transcribed spacer (ITS) is a DNA barcoding tool utilized for species identification. Many methods have been used to discriminate the ITS region, but they are often limited by having a low resolution. In this study, we sought to analyze the ITS and its fragments, ITS1 and ITS2, by using high-resolution melting (HRM) analysis, which is a rapid and sensitive method for evaluating sequence variation within PCR amplicons. The ITS HRM assay was tested for specificity, reproducibility, sensitivity, and the capacity to analyze mixture samples. It was shown that the melting temperatures of the ITS, ITS1, and ITS2 of Psilocybe cubensis were 83.72 ± 0.01, 80.98 ± 0.06, and 83.46 ± 0.08 °C, and for other species, we also obtained species-specific results. Finally, we performed ITS sequencing to validate the presumptive taxonomic identity of our samples, and the sequencing output significantly supported our HRM data. Taken together, these results indicate that the HRM method can quickly distinguish the DNA barcoding of Psilocybe cubensis and other fungi, which can be utilized for drug trafficking cases and forensic science
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