Objective: To analyze the effect of the identification and evaluation of Escherichia (E.) coli and Shigella, based on the upstream flanking sequences of CRISPR1. Methods: Both CRISPR and cas sequences were obtained through the BLAST with repeating sequences against the publicly complete genome in GenBank that related to E. coli and Shigella. Clustal X was used to perform multi-sequences alignment of the flanking sequences. PCR method was used to amplify the upstream flanking sequences of CRISPR1 in order to appraise the effect of identification and evaluation of upstream flanking sequences on E. coli and Shigella, which were based on the upstream flanking sequences of CRISPR1. Results: The results showed that 73.4% of the strains containing the I-E CRISPR/Cas that belonged to the phylogroups A, B1, D while 8.4% strains carried the I-F CRISPR/Cas. Another 17.2% of the strains owned CRISPR3-4 (non-CRISPR/Cas) only belonged to the phylogroups B2. All the Shigella strains carried I-E CRISPR/Cas. More than 99% of similarity the CRISPR1 upstream-flanking sequences was seen in E. coli (except B2) and Shigella and E. coli (B2). Both sensitivity and specificity were greater than 91% after PCR amplification in the region to identify the E.coli and Shigella. Conclusion: The upstream of CRISPR1 could achieve a preliminary identification effect on E.coli and Shigella.
Clustered Regularly Interspaced Short Palindromic Repeats/genetics* ; DNA, Bacterial/genetics* ; Escherichia coli/isolation & purification* ; Genotype ; Humans ; Molecular Sequence Data ; Sequence Analysis, DNA ; Shigella/isolation & purification*

Objective: On whole-genome scale, we tried to explore the correlation between obesity-related traits and DNA methylation sites, based on discordant monozygotic twin pairs. Methods: A total of 90 pairs of 6-17 year-old twins were recruited in Chaoyang district, Yanqing district and Fangshan district in Beijing in 2016. Information on twins was gathered through a self-designed questionnaire and results: from physical examination, including height, weight and waist circumference of the subjects under study. DNA methylation detection was chosen on the Illumina Human Methylation EPIC BeadChip. R 3.3.1 language was used to read the DNA methylation signal under quality control on samples and probes. Ebayes function of empirical Bayes paired moderated t-test was used to identify the differential methylated CpG sites (DMCs). VarFit function of empirical Bayes paired moderated Levene test was used to identify the differentially variables CpG sits (DVCs) in obese and normal groups. Results According to the obesity discordance criteria, we collected 23 pairs of twins (age range 7 to 16 years), including 12 male pairs. A total of 817 471 qualified CpG loci were included in the genome-wide correlation analysis. According to the significance level of FDR set as <0.05, no positive sites would meet this standard. When DMC CpG site cg05684382, with the smallest P value (1.26E-06) as on chromosome 12, the DVC CpG site cg26188191 with the smallest P value (6.44E-06) appeared in CMIP gene on chromosome 16. Conclusions: In this study, we analyzed the genome-wide DNA methylation and its correlation with obesity traits. After multiple testing corrections, no positive sites were found to have associated with obesity. However, results from the correlation analysis demonstrated sites cg05684382 (chr: 12) and cg26188191 (chr: 16) might have played a role in the development of obesity. This study provides a methodologic reference for the studies on discordance twins related problems.
Adolescent ; Bayes Theorem ; Beijing ; Body Weight ; Child ; DNA Methylation/genetics* ; Epigenesis, Genetic ; Female ; Genome-Wide Association Study ; Humans ; Male ; Obesity/genetics* ; Twins, Monozygotic ; Waist Circumference