Detection and quantification of Bacillus cereus and its spores in raw milk by qPCR, and distinguish Bacillus cereus from other bacteria of the genus Bacillus

Introduction The raw milk is the basic raw material of dairy products, Bacillus cereus is a typical conditional pathogenic bacteria and cold-phagocytic spoilage bacteria in raw milk. This study established a qPCR method for detecting B. cereus in raw milk Materials and Methods In this study, a qPCR method for detecting B. cereus in raw milk was established. The specificity of the method was verified by using other Bacillus bacteria and pathogenic bacteria, the sensitivity of the method was evaluated by preparing recombinant plasmids and simulated contaminated samples, and the applicability of the method was verified by using pure spore DNA. The actual sample detection was completed by using the established qPCR method Results The qPCR established in this study can specifically detect B. cereus in raw milk. The LOD of the method was as low as 200 CFU/mL, and the LOQ ranged from 2 × 10 2 to 2 × 10 8 CFU/ml, the amplification efficiency of qPCR was 96.6% Conclusins The method established in this study can distinguish B. cereus from other Bacillus bacteria, and spore DNA can be used as the detection object. This method has the advantages of strong specificity, high sensitivity, wide application range and short detection time, which is expected to be applied in the dairy industry.

One-step RT-PCR Ins214EPE assay for Omicron (B.1.1.529) variant detection v1

On 26 November 2021 WHO designated a new variant of concern B.1.1.529 named Omicron. This variant has a large number of mutations, some of which are concerning. Preliminary evidence suggests an increased risk of reinfection with this variant and reduced neutralization by convalescent and vaccinated sera, as compared to other VOCs. Implementation of the high-throughput rRT-PCR screening for Omicron is of great importance for monitoring the spread of this VOC in the population, especially in resource-limited countries lacking sufficient sequencing capacity. Omicron lineage B.1.1.529 (BA.1) has some indels that turned out to be a good target for its detection. In the current protocol, we use ins214EPE for this purpose. Here we describe the 1-step quantitative multiplex RT-qPCR assay consisting of the newly developed Ins214EPE detection set and widely used Hong Kong University N gene assay for SARS-CoV-2 detection (Chu et al., 2020). The assay was validated on the Omicron variant RNA kindly provided by the Pathogenic Microorganisms Variability Laboratory (Dr. Vladimir Guschin, Gamaleya Institute, Moscow, Russia) and RNA from the collection of Smorodintsev Research Institute of Influenza. Omicron RNA specimens were positive in the assay as expected. Negative controls were found negative. 10-fold serial dilutions of Omicron RNA were used to assess ins214EPE assay amplification efficiency. The amplification efficiency was 98,9% (R2 = 0,99). The developed rRT-PCR assay demonstrates high specificity. It was tested on 26 clinical samples (RNA extracted from oropharyngeal swabs) with previously characterized viruses belonging to 8 different SARS-CoV-2 lineages (including Delta B.1.617.2+AY.*) Specific signal was detected only in samples with SARS-CoV-2 Omicron lineage RNA (confirmed by whole-genome sequencing). Specificity was additionally tested on clinical samples positive for other respiratory viruses from the collection of Smorodintsev Research Institute of Influenza - influenza, parainfluenza, human seasonal coronaviruses (OC43, NL63, 229E, HKU1), hRSV, rhinoviruses, bocaviruses, metapneumovirus (33 in total) - with no false-positive results. Ins214EPE Cq 6x B.1.1.7 2x B.1.351 5x AT.1 6x B.1.617.2 4x AY.122 P.1 B.1.1.529 28,72 B.1.1.529 26,29 virus RP Cq SARS Cq Ins214 Cq RSV A 28,76 RSV A 30,56 RSV A 27,70 RSV B 31,49 RSV B 30,98 RSV B 32,33 NL63 32,20 NL63 30,42 NL63 24,95 Oc43 30,34 Oc43 30,69 Oc43 28,64 HKU1 30,06 HKU1 28,30 HKU1 30,73 229E 29,11 229E 32,52 229E 29,37 BoV 32,26 BoV 30,75 BoV 27,25 Rv 32,85 Rv 33,76 Rv 27,75 Piv1 28,63 Piv2 24,72 Piv3 27,01 Piv4 23,90 Adv 29,47 MPV 30,12 HIV A 29,13 HIV A 28,45 HIV A 28,16 39,06 c+ 34,15 26,61 28,44 Analytical sensitivity determination is underway. We consider developed assay to be useful in wide populational RT-PCR screening to assess the spread of Omicron variant.

Optimizing a metabarcoding primer portfolio for species-level detection of taxa in complex mixtures of diverse fishes

DNA metabarcoding is used to enumerate and identify taxa in both environmental samples and tissue mixtures. The composition and resolution of metabarcoding data depend on the primer(s) used. Markers that amplify different genes can mitigate biases in primer affinity, amplification efficiency, and reference database resolution, but few empirical studies have evaluated markers for complementary performance. Here, we assess the individual and joint performance of 22 markers for detecting species in a DNA pool of >100 species of primarily marine and freshwater fishes, but also including representatives of elasmobranchs, cephalopods, and crustaceans. Marker performance includes the integrated effect of primer specificity and reference availability. We find that a portfolio of four markers targeting 12S, 16S, and multiple regions of COI identifies 100% of reference taxa to family and nearly 60% to species. We then use the four markers in this portfolio to evaluate metabarcoding of heterogeneous tissue mixtures, using experimental fishmeal to test: 1) the tissue input threshold to ensure detection; 2) how read depth scales with tissue abundance; and 3) the effect of non-target material in the mixture on recovery of target taxa. We consistently detect taxa that make up >1% of fishmeal mixtures and can detect taxa at the lowest input level of 0.01%, but rare taxa (<1%) were detected inconsistently across markers and replicates. Read counts showed weak correlation with tissue input, suggesting they are not a valid proxy for relative abundance. Despite this limitation, our results demonstrate the value of a primer portfolio approach—tailored to the taxa of interest—for detecting and identifying both rare and abundant species in heterogeneous tissue mixtures.

Single-cell DNA and RNA sequencing of circulating tumor cells

Single-cell sequencing of circulating tumor cells can precisely represent tumor heterogeneity and provide useful information for cancer treatment and research. After spiking TGW neuroblastoma cells into blood derived from healthy volunteer, the cells were isolated by fluorescence-activated cell sorting. DNA and mRNA were amplified by four different whole-genome amplifications (WGA) and three whole-transcriptome amplifications (WTA) methods, followed by single-cell DNA and RNA sequencing. Multiple displacement amplification (MDA)-based WGA methods showed higher amplification efficiency than other methods with a comparable depth of coverage as the bulk sample. The uniformity of coverage greatly differed among samples (12.5–89.2%), with some samples evaluated by the MDA-based WGA method using phi29 DNA polymerase and random primers showing a high (> 80%) uniformity of coverage. The MDA-based WTA method less effectively amplified mRNA and showed non-specific gene expression patterns. The PCR-based WTA using template switching with locked nucleic acid technology accurately amplified mRNA from a single cell. Taken together, our results present a more reliable and adaptable approach for CTC profiling at the single-cell level. Such molecular information on CTCs derived from clinical patients will promote cancer treatment and research.

Detection of VAR2CSA-Captured Colorectal Cancer Cells from Blood Samples by Real-Time Reverse Transcription PCR

Analysis of circulating tumor cells (CTCs) from blood samples provides a non-invasive approach for early cancer detection. However, the rarity of CTCs makes it challenging to establish assays with the required sensitivity and specificity. We combine a highly sensitive CTC capture assay exploiting the cancer cell binding recombinant malaria VAR2CSA protein (rVAR2) with the detection of colon-related mRNA transcripts (USH1C and CKMT1A). Cancer cell transcripts are detected by RT-qPCR using proprietary Target Enrichment Long-probe Quantitative Amplified Signal (TELQAS) technology. We validate each step of the workflow using colorectal cancer (CRC) cell lines spiked into blood and compare this with antibody-based cell detection. USH1C and CKMT1A are expressed in healthy colon tissue and CRC cell lines, while only low-level expression can be detected in healthy white blood cells (WBCs). The qPCR reaction shows a near-perfect amplification efficiency for all primer targets with minimal interference of WBC cDNA. Spike-in of 10 cancer cells in 3 mL blood can be detected and statistically separated from control blood using the RT-qPCR assay after rVAR2 capture (p < 0.01 for both primer targets, Mann-Whitney test). Our results provide a validated workflow for highly sensitive detection of magnetically enriched cancer cells.

High-Throughput and Accurate Determination of Transgene Copy Number and Zygosity in Transgenic Maize: From DNA Extraction to Data Analysis

It is vital to develop high-throughput methods to determine transgene copy numbers initially and zygosity during subsequent breeding. In this study, the target sequence of the previously reported endogenous reference gene hmg was analyzed using 633 maize inbred lines, and two SNPs were observed. These SNPs significantly increased the PCR efficiency, while the newly developed hmg gene assay (hmg-taq-F2/R2) excluding these SNPs reduced the efficiency into normal ranges. The TaqMan amplification efficiency of bar and hmg with newly developed primers was calculated as 0.993 and 1.000, respectively. The inter-assay coefficient of variation (CV) values for the bar and hmg genes varied from 1.18 to 2.94%. The copy numbers of the transgene bar using new TaqMan assays were identical to those using dPCR. Significantly, the precision of one repetition reached 96.7% of that of three repetitions of single-copy plants analyzed by simple random sampling, and the actual accuracy reached 95.8%, confirmed by T1 and T2 progeny. With the high-throughput DNA extraction and automated data analysis procedures developed in this study, nearly 2700 samples could be analyzed within eight hours by two persons. The combined results suggested that the new hmg gene assay developed here could be a universal maize reference gene system, and the new assay has high throughput and high accuracy for large-scale screening of maize varieties around the world.

Screening and selection of 21 novel microhaplotype markers for ancestry inference in ten Chinese Subpopulations

Genetic findings suggested that ethnolinguistically diverse populations in China harbor differentiated genetic structure and complex evolutionary admixture history, which provide the genetic basis and theoretical foundation for forensic biogeographical ancestry inference (BGAI). Forensic assays for BGAI among intracontinental eastern Eurasians were previously conducted mainly based on the SNPs or InDels. Microhaplotypes, as a set of closely linked SNPs within 200 base pairs, possess the advantages of both STR and SNP and have great potential in forensic ancestry inference. However, the developed forensic assay based on the ancestry informative microhaplotypes in the BGAI remained to be comprehensively explored, especially in China with enriching genetic diversity. Here, we described a new BGAI panel based on 21 novel identified ancestry informative microhaplotypes that focused on dissected finer-scale ancestry composition of Chinese populations. We initially screened all possible microhaplotypes with high Fst values among five East Asian populations and finally employed 21 candidate microhaplotypes in two multiplex SNaPshot assays. Forensic amplification efficiency and statistically/physically phased haplotypes of the 21 microhaplotypes were validated using both SNaPshot and massively parallel sequencing (MPS) platforms. Followingly, we validated the efficiency of these microhaplotypes for BGAI in 764 individuals from ten Chinese populations. Fine-scale ancestry source and ancestry proportion estimated by the principal component analysis (PCA), multidimensional scaling (MDS), phylogenetic tree and model-based STRUCTURE among worldwide populations and East Asians showed that our customized panel could provide a higher discrimination resolution in both continental population stratification and East Asian regional substructure. East Asian populations could be further classified into linguistically/geographically different intracontinental subpopulations (Tibeto-Burman, Tai-Kadai and others). Finally, we obtained a higher estimated accuracy using training and tested datasets in the microhaplotype-based panel than traditional SNP-based panels. Generally, the above results demonstrated that this microhaplotype panel was robust and suitable for forensic BGAI in Chinese populations, which not only provided a high discriminatory power for continental populations but also discriminated East Asians into linguistically restricted subpopulations.

Development and validation of an expanded targeted sequencing panel for non-invasive prenatal diagnosis of sporadic skeletal dysplasia

Background Skeletal dysplasia (SD) is one of the most common inherited neonatal disorders worldwide, where the recurrent pathogenic mutations in the FGFR2, FGFR3, COL1A1, COL1A2 and COL2A1 genes are frequently reported in both non-lethal and lethal SD. The traditional prenatal diagnosis of SD using ultrasonography suffers from lower accuracy and performed at latter gestational stage. Therefore, it remains in desperate need of precise and accurate prenatal diagnosis of SD in early pregnancy. With the advancements of next-generation sequencing (NGS) technology and bioinformatics analysis, it is feasible to develop a NGS-based assay to detect genetic defects in association with SD in the early pregnancy. Methods An ampliseq-based targeted sequencing panel was designed to cover 87 recurrent hotspots reported in 11 common dominant SD and run on both Ion Proton and NextSeq550 instruments. Thirty-six cell-free and 23 genomic DNAs were used for assay developed. Spike-in DNA prepared from standard sample harboring known mutation and normal sample were also employed to validate the established SD workflow. Overall performances of coverage, uniformity, and on-target rate, and the detecting limitations on percentage of fetal fraction and read depth were evaluated. Results The established targeted-seq workflow enables a single-tube multiplex PCR for library construction and shows high amplification efficiency and robust reproducibility on both Ion Proton and NextSeq550 platforms. The workflow reaches 100% coverage and both uniformity and on-target rate are > 96%, indicating a high quality assay. Using spike-in DNA with different percentage of known FGFR3 mutation (c.1138 G > A), the targeted-seq workflow demonstrated the ability to detect low-frequency variant of 2.5% accurately. Finally, we obtained 100% sensitivity and 100% specificity in detecting target mutations using established SD panel. Conclusions An expanded panel for rapid and cost-effective genetic detection of SD has been developed. The established targeted-seq workflow shows high accuracy to detect both germline and low-frequency variants. In addition, the workflow is flexible to be conducted in the majority of the NGS instruments and ready for routine clinical application. Taken together, we believe the established panel provides a promising diagnostic or therapeutic strategy for prenatal genetic testing of SD in routine clinical practice.

Real-Time PCR Assay for the Detection and Quantification of Roe Deer to Detect Food Adulteration—Interlaboratory Validation Involving Laboratories in Austria, Germany, and Switzerland

Game meat products are particularly prone to be adulterated by replacing game meat with cheaper meat species. Recently, we have presented a real-time polymerase chain reaction (PCR) assay for the identification and quantification of roe deer in food. Quantification of the roe deer content in % (w/w) was achieved relatively by subjecting the DNA isolates to a reference real-time PCR assay in addition to the real-time PCR assay for roe deer. Aiming at harmonizing analytical methods for food authentication across EU Member States, the real-time PCR assay for roe deer has been tested in an interlaboratory ring trial including 14 laboratories from Austria, Germany, and Switzerland. Participating laboratories obtained aliquots of DNA isolates from a meat mixture containing 24.8% (w/w) roe deer in pork, roe deer meat, and 12 meat samples whose roe deer content was not disclosed. Performance characteristics included amplification efficiency, level of detection (LOD95%), repeatability, reproducibility, and accuracy of quantitative results. With a relative reproducibility standard deviation ranging from 13.35 to 25.08% (after outlier removal) and recoveries ranging from 84.4 to 114.3%, the real-time PCR assay was found to be applicable for the detection and quantification of roe deer in raw meat samples to detect food adulteration.

Genetic diversity and comparative study of genomic DNA extraction protocols in Tamarix L. species

The genus Tamarix consists of about 54 species that mainly grow in saline areas of deserts and semi-deserts. This genus is chemically characterized by the presence of tannins, flavonoids, anthocyanins and essential oils which interfere with the extraction of pure genomic DNA. Thus it is necessary to optimize extraction protocols to minimize the influence of these compounds to the lowest level. The present study compares the efficiency of five different approaches to extract total genomic DNA in Tamarix species, showing significant differences in the extracted DNA contents and quality,by using Kit (DNP TM Kit), CTAB DNA extraction method by Murray and Thompson, Sahu et al., Nalini et al. and Bi et al., for the extraction of DNA from Tamarix species. Our results showed significant differences in DNA contents between these five methods. The quantity and quality of extracted genomic DNA were checked by the spectrophotometer, Nano-Drop and and agarose gel electrophoresis analysis. Finally, a PCR-based method was also applied to verify the amplification efficiency for two molecular markers (ITS and ISSR).. In the present study, the genetic diversity of 96 Tamarix individuals species and 8 populations were studied using 10 ISSR markerswhile for nrDNA ITS 8 species samples were used. The method of Nalini et al., provided best results (207 ng/μL) in terms of quantity and quality ofDNA. Our results proposed that this method could be effective for plants with the same polysaccharides, proteins and polyphenols components. The advantage of this method is simple and fast as it does not involve time consuming steps such as incubation at higher temperatures, and also do not requires expensive chemicals such as proteinase K, liquid nitrogen. ,. The success of this method in obtaining high-quality genomic DNA has been demonstrated in the Tamarix species group and the reliability of this method has been discussed.