Extraction Kit Research Articles

Investigation of the Relationship Between DNA Mismatch Repair Genes and Microsatellite Instability in Solid Tumors

Aim: In this study, we aimed to detect the MSI status and somatic mutations in MMR genes (MSH2, MSH6, MLH1, PMS2) of a total of 55 solid tumors diagnosed with colorectal, endometrium and ovarian cancer by NGS method and to reveal the relationship between them. Material and Method: DNA isolation was performed by taking 10-micron sections from paraffin-embedded tissue samples of 55 patients diagnosed with kolorektal, endometrium ve ovarian solid tümörlerinin and Kapa NGS DNA extraction kit was used for sequence analysis. The purity and concentration of the DNA obtained was measured by Qubit fluoremeter, and NadPrep DNA Universal Library Preparation Kit was used for high quality library preparation. Bioinformatics analyses were performed on the Genomize Seq platform. The MSI value was analysed by Roche Navify Mutation Caller software and percentage MSI values were determined using the MSIsensor2 pipeline for secondary analysis of NGS. Results: All ovarian tumors were in the MSI-Stable category. The average MSI value was 2.01. One sample had an MSI of zero. In addition, no mutations in the MSH2 and MLH1 genes were detected in any of the ovarian tumors. 3 of 4 endometrial tumors were in the MSI-Stable category, and 1 tumor was in the MSI-low (MSI value: 13.2) category. No variants were detected in the MSH2 and PMS2 genes in endometrial tumors. 2 of the 41 colorectal tumors (Case4, Case16) were in the MSI-High category. No variants were detected in the MMR genes in 19 tumors. Conclusion: Although frame-shift and stop-gain mutations were detected in 23 tumors that would cause protein deficiency in MMR genes, MSI-H was not detected, as expected, except for two colorectal tumors. Therefore, the results of our study emphasise the need to define new predictive biomarkers clinically within the framework of algorithms to predict response to immunotherapy and determine prognosis.

Comparative analysis of high-throughput RNA extraction kits in Naïve Non-Human Primate (NHP) tissues for downstream applications utilizing Xeno Internal Positive Control (IPC)

Ribonucleic acid (RNA) extraction and purification play pivotal roles in molecular biology and cell and gene therapy, where the quality and integrity of RNA are critical for downstream applications. Automated high-throughput systems have gained interest due to their potential for scalability and reduced labor requirements compared to manual methods. However, ensuring high-throughput capabilities, reproducibility, and reliability while maintaining RNA yield and purity remains challenging.This study evaluated and compared the performance of four commercially available high-throughput magnetic bead-based RNA extraction kits across six types of naïve non-human primate (NHP) tissue matrices: brain, heart, kidney, liver, lung, and spleen. The assessment focused on RNA purity, yield, and extraction efficiency (EE) using Xeno Internal Positive Control (IPC) spiking.Samples (∼50 mg) were homogenized via bead-beating and processed according to the manufacturer's protocol on the KingFisher Flex platform in eight replicates. RNA purity and yield were measured using a NanoDrop® spectrophotometer, while EE was evaluated via real-time reverse transcription-quantitative polymerase chain reaction (RT-qPCR).The findings indicate consistent high RNA purity across all tested extraction kits, yet substantial variation in RNA yield. Extraction efficiency exhibited variations across tissue types, with decreasing trends observed from brain to lung tissues. These results underscore the importance of careful kit selection and method optimization for achieving reliable downstream applications. The MagMAX™ mirVana™ Total RNA Isolation Kit stands out as the most accurate and reproducible, making it the preferred choice for applications requiring high RNA quality and consistency. Other kits, such as the Maxwell® HT simplyRNA Kit, offer a good balance between cost and performance, though with some trade-offs in precision. These findings highlight the importance of selecting the appropriate RNA isolation method based on the specific needs of the research, underscoring the critical role of accurate nucleic acid extraction in gene and cell therapy research.In conclusion, this study highlights the critical factors influencing RNA extraction performance, emphasizing the need for researchers and practitioners to consider both kit performance and tissue characteristics when designing experimental protocols. These insights contribute to the ongoing efforts to enhance the reproducibility and reliability of RNA extraction methods in molecular biology and cell/gene therapy applications.

Optimising recovery of DNA from minimally invasive sampling methods: Efficacy of buccal swabs, preservation strategy andDNA extraction approaches for amphibian studies.

Studies in evolution, ecology and conservation are increasingly based on genetic and genomic data. With increased focus on molecular approaches, ethical concerns about destructive or more invasive techniques need to be considered, with a push for minimally invasive sampling to be optimised. Buccal swabs have been increasingly used to collect DNA in a number of taxa, including amphibians. However, DNA yield and purity from swabs are often low, limiting its use. In this study, we compare different types of swabs, preservation method and storage, and DNA extraction techniques in three case studies to assess the optimal approach for recovering DNA in anurans. Out of the five different types of swabs that we tested, Isohelix MS-02 and Rapidry swabs generated higher DNA yields than other swabs. When comparing storage buffers, ethanol is a better preservative than a non-alcoholic alternative. Dried samples resulted in similar or better final DNA yields compared to ethanol-fixed samples if kept cool. DNA extraction via a Qiagen™ DNeasy Blood and Tissue Kit and McHale's salting-out extraction method resulted in similar DNA yields but the Qiagen™ kit extracts contained less contamination. We also found that samples have better DNA recovery if they are frozen as soon as possible after collection. We provide recommendations for sample collection and extraction under different conditions, including budgetary considerations, size of individual animal sampled, access to cold storage facilities and DNA extraction methodology. Maximising efficacy of all of these factors for better DNA recovery will allow buccal swabs to be used for genetic and genomic studies in a range of vertebrates.

A Guide to Environmental DNA Extractions for Non‐Molecular Trained Biologists, Ecologists, and Conservation Scientists

ABSTRACTEcologists, biologists, and conservation scientists are increasingly interested in the use of environmental DNA (eDNA) data for research and potentially decision‐making. While commercial DNA extraction kits are typically user‐friendly and accessible, they may fail to deliver the desired results with inherently complex eDNA samples, necessitating protocol optimization or educated selection of alternative approaches. To this end, knowledge of the basic steps and principles of DNA extractions is essential, but traditional education tracks in ecology, conservation, and environmental management typically do not include in‐depth training in molecular methods. The primary objective of this paper is to enable scientists with an ecological background and limited molecular training to understand the four key steps of eDNA isolations, and to use this expertise to their advantage. We describe the purpose of commonly used reagents and chemicals, point out alternatives for each key step, explain the impact of certain choices regarding isolation approaches on DNA integrity and purity, and highlight the possibility of a tailor‐made “mix and match” approach. We anticipate that this paper will enable field ecologists to develop a deeper understanding of the mechanisms and chemistry underlying eDNA extractions, thus allowing them to make informed decisions regarding the best eDNA extraction method for their research goals. Our intention is not to provide comprehensive, step‐by‐step protocols, but to offer guiding principles while highlighting alternative solutions. Finally, we hope that this paper will act as a useful resource to support knowledge transfer and teaching.

Using Environmental DNA to Detect and Identify Sweetpotato Whitefly Bemisia argentifolii and Twospotted Spider Mite Tetranychus urticae in Greenhouse‐Grown Tomato Plants

ABSTRACTEnvironmental DNA (eDNA) consists of genetic material shed by living organisms, including those that are deceased, offering a unique opportunity to detect and identify terrestrial insect pests without requiring visual identification. The sweetpotato whitefly, Bemisia argentifolii, and the twospotted spider mite, Tetranychus urticae, are notorious for causing crop losses through virus transmission and direct feeding. Our study aimed to: (1) assess the effectiveness of B. argentifolii literature‐based PCR primers compared to newly developed primers for eDNA amplification, (2) evaluate the sensitivity of conventional PCR (cPCR) and real‐time quantitative PCR (qPCR) for detecting eDNA of B. argentifolii and T. urticae, (3) establish a rapid eDNA processing methodology using the LGC Biosearch Technologies QuickExtract DNA extraction kit and the Qiagen DNeasy Blood and Tissue kit, and (4) test the specificity of the developed primers against non‐target species. B. argentifolii and T. urticae were confined to tomato leaves (Solanum lycopersicum) using clip cages for 24 h, after which eDNA was collected from leaf surfaces using a water spray method, filtered, and processed for DNA amplification. While literature‐based primers showed sufficient sensitivity, their specificity for eDNA applications was inadequate, prompting the design of novel PCR primers for both pest species. Positive eDNA detection was achieved with both amplification methods, with qPCR proving more reliable than cPCR due to the latter's inconsistent performance with positive control samples. We also introduced a rapid eDNA processing approach using the QuickExtract DNA extraction kit, contrasting it with the more conventional Qiagen DNeasy Blood and Tissue kit. We believe that our findings are the first step toward the practical use of eDNA as a highly sensitive, early detection technique.

Initial Evaluation of lncRNA A2M-AS1 Gene Expression in Multiple Sclerosis Patients.

Multiple sclerosis (MS) is one of the three leading neurodegenerative diseases worldwide. Gene expression profile studies play an important role in recognizing and preventing disease. Considering the inherent ability of biomarkers to diagnose and prognose the occurrence of a disease, with the aim of gene therapy and changing gene expression, it can be helped to treat it. In this study, by examining the gene interaction and expression of non-coding genes in patients with MS, using bioinformatics analyses, laboratory research and potential non-coding diagnostic biomarkers of MS were selected for further investigations. First, by using micro-array data analysis of the GEO database, the expression status of the long non-coding ribonucleic acid (RNA) (lncRNA) A2M-AS1 gene was investigated in patients with MS. lncRNA-mRNA interaction analysis was performed in the lncRRisearch database. After sample collection, the total RNA extracted using the RNA extraction kit from 20 patient samples and 20 healthy samples was synthesized into cDNA with the synthesis kit. The quantitative reverse transcriptase polymerase chain reaction experiment was performed for the final validation of expression change. Based on bioinformatic and laboratory analysis, the expression of the A2M-AS1 gene in MS samples showed a significant decrease in expression compared to healthy samples. Also, based on the receiver operating characteristic analysis, lncRNA A2M-AS1 can be introduced as an acceptable diagnostic biomarker to distinguish MS samples from healthy samples. lncRNA A2M-AS1, by reducing its expression as an acceptable diagnostic biomarker, can increase the risk of developing MS.

Genetic analysis of a novel FBN1 mutation in a pediatric Marfan syndrome patient.

The aim of this study was to investigate a novel FBN1 gene mutation in a pediatric patient with Marfan syndrome (MFS) to provide a theoretical basis for genetic counseling. The subject was a 5-month-old male infant. With informed consent from the proband and his family, 2 mL of peripheral venous blood was collected from the patient, his father, mother, and sister. DNA was extracted using a DNA extraction kit with EDTA-K as an anticoagulant. The extracted DNA was subjected to minigene transcription and bioinformatics analysis. For minigene construction, wild-type and mutant minigenes were inserted into pcMINI and pcMINI-C vectors, respectively. Four recombinant vectors were transfected into the HeLa and 293T cell lines. After transfection for 48 hours, RNA was extracted from eight samples. DNA was also extracted from the family members' samples to construct a library. Target regions were captured using the SureSelect Human All Exon V6 (Agilent) kit and were sequenced with Illumina NovaSeq (sequencing read length 2×150 bp). Bioinformatic analysis identified the c.8226+5del mutation as a variant of uncertain clinical significance (VOUS). Literature and database reviews confirmed that this mutation had not been previously reported, identifying it as a novel mutation. The study identified a novel FBN1 mutation, c.8226+5del, that may be associated with clinical features such as low-set ears and distinctive facial characteristics in the proband. This mutation likely affects normal mRNA splicing, altering the structure and function of Exon 64 and potentially contributing to the development of autosomal dominant MFS.

Engineering the bacteriophage 80 alpha endolysin as a fast and ultrasensitive detection toolbox against Staphylococcus aureus

The isolation and identification of pathogenic bacteria from a variety of samples are critical for controlling bacterial infection-related health problems. The conventional methods, such as plate counting and polymerase chain reaction-based approaches, tend to be time-consuming and reliant on specific instruments, severely limiting the effective identification of these pathogens. In this study, we employed the specificity of the cell wall-binding (CBD) domain of the Staphylococcus aureus bacteriophage 80 alpha (80α) endolysin towards the host bacteria for isolation. Amidase 3-CBD conjugated magnetic beads successfully isolated as few as 1 × 102 CFU/mL of S. aureus cells from milk, blood, and saliva. The cell wall hydrolyzing activity of 80α endolysin promoted the genomic DNA extraction efficiency by 12.7 folds on average, compared to the commercial bacterial genomic DNA extraction kit. Then, recombinase polymerase amplification (RPA) was exploited to amplify the nuc gene of S. aureus from the extracted DNA at 37 °C for 30 min. The RPA product activated Cas12a endonuclease activity to cleave fluorescently labeled ssDNA probes. We then converted the generated signal into a fluorescent readout, detectable by either the naked eye or a portable, self-assembled instrument with ultrasensitivity. The entire procedure, from isolation to identification, can be completed within 2 h. The simplicity and sensitivity of the method developed in this study make it of great application value in S. aureus detection, especially in areas with limited resource supply.

Genetic Characteristics of Echinococcus granulosus from Fixed Paraffin-Embedded Tissue Samples in Human Isolates Based on the High-Resolution Melting Point Analysis in Sabzevar, Northeast Iran.

There are ten genotypes of Echinococcus granulosus with different intermediate and final hosts affecting the parasite's life cycle and its transmission to humans. Therefore, this study was conducted to determine the genotype of isolated hydatid cysts using the simple and fast high-resolution melting point analysis (HRM) method. The paraffin tissue samples of patients who underwent surgery were obtained from the pathology sample bank of Vasei and Emdad Hospitals in Sabzevar, Iran during 2010-2020. The DNA content of the samples was extracted after collecting and determining the characteristics using the DNA extraction kit. PCR was performed on the samples and the presence of the hydatid cyst genome was confirmed using the special Master Kit. Mix PCR of Solis Biodyne Company and Real-Time device (Bio-Rad) were used, and the genetic identity of hydatid cysts were determined. Out of 33 paraffin samples, 21 samples contained hydatid cyst DNA, two of which were from the brain and 19 from the liver tissues; 12 samples did not contain hydatid cyst DNAs. All liver samples were from sheep species (G1), and the brain samples were from buffalo species (G3). Therefore, 9.53% of the Echinococcus species collected were buffalo (G3), and 90.47% were sheep (G1) strain. Based on previous patterns, HRM methods can be used for easy and quick identification of Echinococcus strains. The G1 strain was the dominant strain causing hydatid cyst in different human organs, including the liver and brain.

Comparison of Different Reverse Transcriptase-Polymerase Chain Reaction-Based Methods for Wastewater Surveillance of SARS-CoV-2: Exploratory Study.

Many countries have applied the wastewater surveillance of the COVID-19 pandemic to their national public health monitoring measures. The most used methods for detecting SARS-CoV-2 in wastewater are quantitative reverse transcriptase-polymerase chain reaction (RT-qPCR) and reverse transcriptase-droplet digital polymerase chain reaction (RT-ddPCR). Previous comparison studies have produced conflicting results, thus more research on the subject is required. This study aims to compare RT-qPCR and RT-ddPCR for detecting SARS-CoV-2 in wastewater. It also aimed to investigate the effect of changes in the analytical pipeline, including the RNA extraction kit, RT-PCR kit, and target gene assay, on the results. Another aim was to find a detection method for low-resource settings. We compared 2 RT-qPCR kits, TaqMan RT-qPCR and QuantiTect RT-qPCR, and RT-ddPCR based on sensitivity, positivity rates, variability, and correlation of SARS-CoV-2 gene copy numbers in wastewater to the incidence of COVID-19. Furthermore, we compared 2 RNA extraction methods, column- and magnetic-bead-based. In addition, we assessed 2 target gene assays for RT-qPCR, N1 and N2, and 2 target gene assays for ddPCR N1 and E. Reverse transcription strand invasion-based amplification (RT-SIBA) was used to detect SARS-CoV-2 from wastewater qualitatively. Our results indicated that the most sensitive method to detect SARS-CoV-2 in wastewater was RT-ddPCR. It had the highest positivity rate (26/30), and its limit of detection was the lowest (0.06 gene copies/µL). However, we obtained the best correlation between COVID-19 incidence and SARS-CoV-2 gene copy number in wastewater using TaqMan RT-qPCR (correlation coefficient [CC]=0.697, P<.001). We found a significant difference in sensitivity between the TaqMan RT-qPCR kit and the QuantiTect RT-qPCR kit, the first having a significantly lower limit of detection and a higher positivity rate than the latter. Furthermore, the N1 target gene assay was the most sensitive for both RT-qPCR kits, while no significant difference was found between the gene targets using RT-ddPCR. In addition, the use of different RNA extraction kits affected the result when the TaqMan RT-qPCR kit was used. RT-SIBA was able to detect SARS-CoV-2 RNA in wastewater. As our study, as well as most of the previous studies, has shown RT-ddPCR to be more sensitive than RT-qPCR, its use in the wastewater surveillance of SARS-CoV-2 should be considered, especially if the amount of SARS-CoV-2 circulating in the population was low. All the analysis steps must be optimized for wastewater surveillance as our study showed that all the analysis steps including the compatibility of the RNA extraction, the RT-PCR kit, and the target gene assay influence the results. In addition, our study showed that RT-SIBA could be used to detect SARS-CoV-2 in wastewater if a qualitative result is sufficient.

Validation of the Chemical and Biological Steps Required Implementing an Advanced Multi-Omics Approach for Assessing the Fate and Impact of Contaminants in Lagoon Sediments.

The increasing use of chemicals requires a better understanding of their presence and dynamics in the environment, as well as their impact on ecosystems. The aim of this study was to validate the first steps of an innovative multi-omics approach based on metabolomics and 16S metabarcoding data for analyses of the fate and impact of contaminants in Mediterranean lagoons. Semi-targeted analytical procedures for water and sediment matrices were implemented to assess chemical contamination of the lagoon: forty-six compounds were detected, 28 of which could be quantified in water (between 0.09 and 47.4 ng/L) and sediment (between 0.008 and 26.3 ng/g) samples using the UHPLC-MS/MS instrument. In addition, a non-targeted approach (UHPLC-HRMS) using four different sample preparation protocols based on solid/liquid extractions or an automated pressurized fluid extraction system (EDGE®) was carried out to determine the protocol with the best metabolome coverage, efficiency and reproducibility. Solid/liquid extraction using the solvent mixture acetonitrile/methanol (50/50) was evaluated as the best protocol. Microbial diversity in lagoon sediment was also measured after DNA extraction using five commercial extraction kits. Our study showed that the DNeasy PowerSoil Pro Qiagen kit (Promega, USA) was the most suitable for assessing microbial diversity in fresh sediment.

Potentiality graphene oxides-functionalized magnetic nanomaterials for RNA extraction from rabies and SARS-CoV-2 viruses

Nucleic acid extraction technologies are fundamental tools in studying pathogenic agents. In this work, we report the use of magnetic materials functionalized with graphene oxide (GO) to enhance the isolation of viral RNA in biological suspensions. Graphene oxides with different synthesis parameters were used as additives and support to potentiate the extraction and purification of RNA. As additives, graphene oxides with varying degrees of oxidation were synthesized and added to a commercial nucleic acid extraction kit. The graphene oxide with the best performance was functionalized with a nanocomposite of iron oxide nanoparticles (MIONPs/SiO2). The MIONPs were synthesized through the hydrothermal-assisted microwave method and were coated with silicon oxide using the Stöber method. Our results with GO5H showed it can isolate viral RNA up to 200 % more effectively than the commercial kit for Rabies (non-clinical samples) and SARS-CoV-2(clinical samples), due to the presence of oxygenized groups such as carboxyl groups and their affinity with single-stranded nucleic acids. The final nanocomposite (GO-MIONPs/ SiO2) prepared in this study has potential application for incorporation into viral RNA extraction protocols, as a low-cost and high-efficiency alternative.

Simultaneous Extraction of Bone Marrow RNA and DNA from Patients with Hematologic Diseases Using a Combined Magnetic Bead Method within 1 Hour.

TRIzolTM is widely used for RNA and DNA extraction. However, this method is laborious and time-consuming. The objective of this study was to validate a time-effective and labor-saving protocol. The TRIzol method was used to separate the aqueous phase, protein, and phenol layer of bone marrow samples from 12 patients with hematological diseases. Subsequently, RNA and DNA were extracted from the aqueous layer containing RNA and phenol layer containing DNA, respectively, using magnetic bead extraction kits. The quantity and purity of extracted RNA and DNA were examined using a NanoDrop spectrophotometer. Quantitative fluorescence PCR amplification of the ABL1 gene was performed to verify the effectiveness of the extracted RNA and DNA for downstream experiments. RNA and DNA from another 16 bone marrow samples were extracted to compare the performance of the two methods. Co-extraction of RNA and DNA was completed within 1 h. The data showed that RNA and DNA yield ranged from 13.1 to 204.5 ng/µL and 33.1 to 228.8 ng/µL, respectively. The A260/A280 ratios of RNA and DNA samples ranged from 1.82 to 2.01 and 1.73 to 1.91, respectively. RNA and DNA extracted using this scheme exhibited ideal performance in quantitative fluorescence PCR. The present protocol showed better quality and effectiveness in extracting RNA and DNA compared to the TRIzol method. This protocol for RNA and DNA co-extraction is fast, labor-saving, and high throughput. It can be adopted for routine molecular biology analyses, particularly for non-reproducible specimens.

Improving DNA recovery and sample throughput using the PrepFiler™ Automated Forensic DNA Extraction Kit on two customised Tecan Fluent® 1080 Automated Workstations

One of the primary goals of forensic laboratories performing DNA recovery and profiling is obtaining a high-quality DNA extract from crime scene samples. This is largely dependent on the sensitivity and reliability of the DNA extraction chemistry utilised, as well as the liquid handling and contamination minimisation techniques employed. Automation of DNA extraction methods on large liquid handling platforms allows high-throughput laboratories to apply sensitive chemistries to reliably process a large number of samples, while minimising manual processes and cross-contamination.This study describes the first known implementation of the PrepFiler™ Automated Forensic DNA Extraction Kit on a Tecan Fluent® Gx 1080 Automation Workstation. Two Workstations were customised with the addition of novel “Safe Pipetting Modules” to eliminate sample crossover between wells, which is important in a forensic biology setting to reduce inadvertent DNA transfer. A comparison of DNA extraction efficiency between an optimised PrepFiler™ method and the DNA IQ™ System performed on a Perkin Elmer Janus® Integrator platform showed the optimised PrepFiler™ method consistently extracted a higher yield of DNA from a range of blood inputs, as well as blood and buccal swabs. The PrepFiler™ chemistry also more efficiently removed humic acid and haematin, reducing subsequent PCR inhibition. The subsequent implementation of the optimised PrepFiler™ method onto the Tecan Fluent® Gx workstations showed a further increase in sensitivity, with no evidence of DNA cross-contamination observed. However, the optimised PrepFiler™ method encountered difficulties extracting DNA from fabric substrates, with the PrepFiler Express™ chemistry extracting higher yields on the cartridge-based AutoMate Express™ System.Overall, this study demonstrated the Tecan Fluent® Gx 1080 Automation Workstation is a sensitive, reliable and robust method for DNA extraction using the PrepFiler™ Automated Forensic DNA Extraction Kit, and the addition of the novel Safe Pipetting Module makes this platform an attractive option for forensic biology laboratories where minimising inadvertent DNA transfer is of paramount importance.

Detection of JC and BK polyomaviruses in patients with colorectal cancer (CRC) by PCR

ABSTRACT Background Overall, 20–30% of all cancers are estimated to be linked to infectious agents. Polyomaviruses are oncogenic cause in rodent models, readily transform their cells, and cause chromosomal instability in animal and human cells in-vitro. Some reports have indicated the presence of JCPyV and BKPyV in some human tumors. The JCPyV and BKPyV genome encodes some transforming proteins such as LT-Ag. Thus, these viruses could cause or promote some neoplasia, such as lymphomas, pancreatic, prostate, and colorectal cancers. Colorectal cancer (CRC) is the third most common cancer in the world. Risk factors for developing CRC are associated with personal features or habits, such as age, lifestyle, and gut microbiota. Materials and Methods In this study, we examined the prevalence of JCPyV and BKPyV in the 23 fecal samples of CRC patients and 24 healthy samples (control group). Virus DNA was extracted by a Favorgen DNA extraction kit. The large T antigen of JCPyV and VP1 of BKPyV were investigated by optimized multiplex PCR. Results One of the samples was positive for the JCPyV (4.3%), while in the samples of healthy individuals, the JCPyV was negative. Also, positive results for BKPyV PCR were obtained for five cases (21.7%) in the samples of the CRC group and one case (4.1%) in healthy individuals. Conclusion The result showed no direct correlation between tumorigenesis and polyomavirus infections in CRC development. However, the exact role of BKPyV and JCPyV is still controversial and needs further study with larger sample size.

First Report of Rosa roxburghii Rot Disease Caused by Fusarium annulatum in China.

Rosa roxburghii Tratt is a rosaceous shrub originating from southwest China (Fu et al. 2020). From September to October 2022, R. roxburghii rot occurred in Guizhou Province, China, within a major R. roxburghii production area covering from 5 ha to 50 ha, with an incidence rate of 10 to 15%. Symptoms manifested as black and brown lesions on the fruit surface, which were concave, soft, foul-smelling, and surrounded by grayish-brown tissue. Three infected R. roxburghii shrubs were randomly collected from each household, placed in transparent plastic bags, and pathogen isolation was conducted in a laboratory. Infected R. roxburghii fruits were surface-sterilized with 0.5% NaOCl for 2 min, rinsed five times with sterile water, and dried. Symptomatic tissues from the margin between necrotic and healthy tissues were cut into 5 × 5 mm pieces, placed onto potato dextrose agar (PDA), and incubated at 28ºC in the dark for 5 days. Hyphal tips of fungi growing from the samples were transferred onto new PDA plates and incubated until they produced conidia. A total of five fungal isolates with similar morphological characteristics were obtained. The colony obtained by single-spore purification was light purple to dark purple with abundant aerial mycelium. Macroconidia were relatively slender with a curve and zero to three septate. Microconidia appeared obovoid to pyriform, with sizes of 5.2 to 17.2 × 2.1 to 3.3 μm (n = 50). The morphological characteristics were consistent with Fusarium annulatum (Yilmaz et al. 2021). Genomic DNA of two representative isolates (Zhaochanglin 1621 and 1622) was extracted using the DN14 cetyltrimethylammonium bromide rapid plant genome extraction kit (Aidlab Biotechnologies Co., Ltd, Beijing). The TEF1 and RPB2 gene were amplified by Polymerase Chain Reaction using primers EF1-983F/EF1-2218R (Rehner et al, 2005), bRPB2-6F/bRPB2-7.1R (Matheny et al, 2002), respectively. All sequences were deposited in GenBank (TEF1, PP236860, PP236861; RPB2, PP767864, PP767865). BLAST searches of the TEF1, and RPB2 sequences revealed the TEF1 sequences had 99.89% (937/938 bp) identity with F. annulatum isolate CBS 258.54; and the RPB2 sequences had 99.86% (737/738 bp) identity to isolate CBS 267.93. In the phylogenetic tree, the isolates (Zhaochanglin 1621 and 1622) clustered with the representative strains of F. annulatum. The morphology and multi-gene phylogenetic analysis indicated that is the isolates were F. annulatum. To complete Koch's postulates, five mature, healthy R. roxburghii fruits were surface disinfected with 1% NaClO solution for 1 min, rinsed with sterile water, and dried at 25℃ for 30 min. A conidial suspension (106 spores/ml) collected from two isolates (Zhaochanglin 1621 and 1622) was sprayed onto R. roxburghii fruits, and the control treatments were sprayed with sterile distilled water. All R. roxburghii fruits were incubated at 25 ºC with 80% relative humidity. The experiment had five replicates. After 7 days of incubation, all the inoculated fruits showed similar symptoms to those initially observed on the originally infected plants. The same pathogen was reisolated and identified by morphological character ization and molecular analysis, fulfilling Koch's postulates. Thus, the pathogen causing rot of R. roxburghii was determined to be F. annulatum (H. Zhang et al, 2024). To our knowledge, this is the first report of F. annulatum causing R. roxburghii rot disease in China. F.annulatum has a wide range of hosts and has been reported to infect a wide range of crops, fruits, and vegetables (Bacon and Nelson 1994). This study lays a foundation for further study and developing disease control methods and the improvement of the economic benefits of R. roxburghii.

Momordica charantia Is a Novel Host of 'Candidatus Phytoplasma malaysianum'-Related Strains Associated with Bitter Melon Stem Fasciation Disease in China.

Momordica charantia, also known as bitter melon, bitter gourd, and bitter squash, is a member of the Cucurbitaceae family and is widely grown in tropical and subtropical regions for its edible fruit and medicinal properties (Alves et al. 2017). In April 2022, bitter melon plants exhibiting stem fasciation and excessive tendril symptoms were observed in a 50-acre vegetable farm in Yijia Village, Weishan Yizu Huizu Autonomous County, Dali, Yunnan Province, China (Fig. 1). The farm primarily grew tomatoes, but around 400 bitter melon plants were planted in spots where tomatoes failed to establish. One plot had a 40% incidence rate, with four out of ten bitter melon plants showing symptoms. Scattered cases were observed in other plots, leading to an overall disease incidence rate of around 2% for the entire farm. Phytoplasma infection was suspected due to symptomatic plants growing in the same province as previously reported cases of phytoplasma diseases, such as happy tree (Camptotheca accuminata) witches'-broom disease, and the presence of phytoplasma-transmitting leafhoppers (Qiao et al. 2023). DNA was extracted from four symptomatic samples and two healthy controls collected from the abovementioned plot with a 40% disease incidence using Bioteke's Plant Genomic DNA Extraction Kit and then tested for phytoplasma infection. A nested PCR assay was conducted using primer pair P1/16S-SR followed by P1A/16S-SR to amplify the near full-length phytoplasma 16S rDNA (about 1.5kb) as previously described (Lee et al. 2004). None of the healthy controls tested positive for phytoplasma infection, while three out of four symptomatic plants showed positive results. The amplicons from the nested PCR were cloned into the pCRII-TOPO vector as previously described (Lee et al. 2004). The resulting clones were sequenced, and the representative sequence was deposited into GenBank (accession number PP489216). The iPhyClassifier (Zhao et al. 2009) was employed to determine the phytoplasma species and group/subgroup associated with the bitter melon stem fasciation (BMSF) disease. The results indicated that the diseased bitter melon plants were infected with a strain related to 'Candidatus Phytoplasma malaysianum' (EU371934), with a 98.07% sequence identity. The similarity coefficient was 1.00 compared to the reference strain of 16SrXXXII-D (GenBank accession: MW138004). The phytoplasma strain associated with BMSF disease was designated as BMSF1. In addition, the same DNA samples underwent further characterization of the BMSF strains. A nested PCR was conducted using primer pair rpL2F3/rpIR1A, followed by rp(III)-FN/rpIR1A to amplify a phytoplasma-specific rp gene segment (about 1.2 kb) (Martini et al. 2007; Davis et al. 2013). Three out of four samples tested positive, consistent with the 16S rRNA gene amplification results. Similarly, a primer pair L15F1/MapR1 followed by secYF1(III)/secYR1(III) was used to amplify a phytoplasma-specific partial spc operon (about 1.7 kb) that includes the complete secY gene and partial rpl15 and map genes, as previously described (Lee et al. 2010). The obtained rp and partial spc amplicons were cloned and sequenced (GenBank accession numbers PP464295 and PP464296). The rp and secY gene sequences were searched against the non-redundant nucleotide collection in the NCBI database using BLASTN. The top hit for the rp gene was 'Ca. Phytoplasma luffae' (CP054393), with 83.24% identity (1068/1283 base-matching). The top hit for the secY gene was also 'Ca. Phytoplasma luffae' (CP054393), with 72.53% identity (1294/1784 base-matching). The percent identity of the BMSF sequences compared to the top hit is low since no other group 16SrXXXII rp and secY gene sequences are available for comparison. A subgroup 16SrXXXII-D phytoplasma strain has been previously reported associated with Camptotheca acuminata witches'-broom (Qiao et al. 2023) and Trema tomentosa witches'-broom (Yu et al. 2021) in China. To our knowledge, bitter melon represents a new host of 'Candidatus Phytoplasma malaysianum'-related strains, and this is the first report of BMSF disease in China. The findings suggest that 'Candidatus Phytoplasma malaysianum'-related strains infect not only ornamental plants but also crops.

Systematic review and feasibility study on pre-analytical factors and genomic analyses on archival formalin-fixed paraffin-embedded breast cancer tissue

Formalin-fixed paraffin-embedded (FFPE) tissue represents a valuable source for translational cancer research. However, the widespread application of various downstream methods remains challenging. Here, we aimed to assess the feasibility of a genomic and gene expression analysis workflow using FFPE breast cancer (BC) tissue. We conducted a systematic literature review for the assessment of concordance between FFPE and fresh-frozen matched tissue samples derived from patients with BC for DNA and RNA downstream applications. The analytical performance of three different nucleic acid extraction kits on FFPE BC clinical samples was compared. We also applied a newly developed targeted DNA Next-Generation Sequencing (NGS) 370-gene panel and the nCounter BC360® platform on simultaneously extracted DNA and RNA, respectively, using FFPE tissue from a phase II clinical trial. Of the 3701 initial search results, 40 articles were included in the systematic review. High degree of concordance was observed in various downstream application platforms. Moreover, the performance of simultaneous DNA/RNA extraction kit was demonstrated with targeted DNA NGS and gene expression profiling. Exclusion of variants below 5% variant allele frequency was essential to overcome FFPE-induced artefacts. Targeted genomic analyses were feasible in simultaneously extracted DNA/RNA from FFPE material, providing insights for their implementation in clinical trials/cohorts.

The impact of extraction method and pollen concentration on community composition for pollen metabarcoding

AbstractPremisePlants and pollinators closely interact with each other to form complex networks of species interactions. Metabarcoding of pollen collections has recently been proposed as an advantageous method for the construction of such networks, but the extent to which diversity and community analyses depend on the extraction method and pollen concentration used remains unclear.MethodsIn this study, we used a dilution series of two pollen mixtures (a mock community and pooled natural pollen loads from bumblebees) to assess the effect of mechanical homogenization and two DNA extraction kits (spin column DNA extraction kit and magnetic bead DNA extraction kit) on the detected pollen richness and community composition.ResultsAll species were successfully detected using the three methods, even in the most dilute samples. However, the extraction method had a significant effect on the detected pollen richness and community composition, with simple mechanical homogenization introducing an extraction bias.DiscussionOur findings suggest that all three methods are effective for detecting plant species in the pollen loads on insects, even in cases of very low pollen loads. However, our results also indicate that extraction methods can have a profound impact on the ability to correctly assess the community composition of the pollen loads on insects. The choice of extraction methodology should therefore be carefully considered to ensure reliable and unbiased results in pollen diversity and community analyses.

Point-of-Care Multiplex Detection of Respiratory Viruses.

The COVID-19 pandemic, in addition to the co-occurrence of influenza virus and respiratory syncytial virus (RSV), has emphasized the requirement for efficient and reliable multiplex diagnostic methods for respiratory infections. While existing multiplex detection techniques are based on reverse transcription quantitative polymerase chain reaction (RT-qPCR) and extraction and purification kits, the need for complex instrumentation and elevated cost limit their scalability and availability. In this study, we have developed a point-of-care (POC) device based on reverse transcription loop-mediated isothermal amplification (RT-LAMP) that can simultaneously detect four respiratory viruses (SARS-CoV-2, Influenza A, Influenza B, and RSV) and perform two controls in less than 30 min, while avoiding the use of the RNA extraction kit. The system includes a disposable microfluidic cartridge with mechanical components that automate sample processing, with a low-cost and portable optical reader and a smartphone app to record and analyze fluorescent images. The application as a real point-of-care platform was validated using swabs spiked with virus particles in nasal fluid. Our portable diagnostic system accurately detects viral RNA specific to respiratory pathogens, enabling deconvolution of coinfection information. The detection limits for each virus were determined using virus particles spiked in chemical lysis buffer. Our POC device has the potential to be adapted for the detection of new pathogens and a wide range of viruses by modifying the primer sequences. This work highlights an alternative approach for multiple respiratory virus diagnostics that is well-suited for healthcare systems in resource-limited settings or at home.