The study examined the variability in 16S ribosomal RNA (16S rRNA) and tetracycline resistance tetA gene quantification from environmental samples in relation to modifications in quantitative polymerase chain reaction (qPCR) workflow and subsequent data evaluation and analysis. We analysed three types of soil samples using two DNA extraction methods, two qPCR chemistries (SYBR green, LUX™), and qPCR reaction kits from different manufacturers. To improve data quality, we employed a three-step amplification outlier removal approach prior to gene quantification calculations. We compared three variants of target gene enumerations and four variants of functional tetA gene normalisations against 16S rRNA genes. Results reveal that modifications in qPCR workflow steps significantly influence the gene quantification results from environmental samples. Primary factors affecting qPCR amplification efficiency included the variability of the target amplicon and the qPCR chemistry; the quality of the resulting datasets also had an impact. Although LUX™ qPCR has shown promise for environmental samples, SYBR green qPCR yielded considerably better-quality datasets and higher, more stable amplification efficiency values. Gene enumeration data of outlier-removed and unmodified sample sets showed minor differences for good-quality datasets (i.e., amplifications with SYBR green), but differed by up to 40% among lower-quality datasets. Different DNA extraction methods yielded varying amounts and purities of extracted microbial community DNA from environmental samples, with as much as an order of magnitude variation in gene copy numbers. Target gene normalisations yielded stable results on good-quality data, regardless of the DNA extraction method or qPCR chemistry used. Even though qPCR is regarded as a precise method with low detection limit, technical variability in the qPCR workflow tends to overestimate or effectively mask minute changes in community.
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http://dx.doi.org/10.1016/j.scitotenv.2012.03.054 | DOI Listing |
Environ Sci Pollut Res Int
January 2025
Institute of Environment and Sustainable Development, Banaras Hindu University, Varanasi, 221005, India.
Surface water chemistry of the River Ganga at Varanasi was analyzed at 10 locations over 3 years (2019-2021) across pre-monsoon, monsoon, and post-monsoon seasons. The study aimed to assess water parameters using principal component analysis (PCA), calculate the water quality index (WQI), determine processes governing water chemistry, evaluate irrigation suitability, and estimate non-carcinogenic health risks. The physical parameters measured included pH (8.
View Article and Find Full Text PDFBMC Health Serv Res
January 2025
Centre for Infectious Disease Control, National Institute for Public Health and the Environment, P.O. Box 1, Bilthoven, 3720 BA, The Netherlands.
HIV self-sampling and -testing (HIVSS/ST) reduces testing barriers and potentially reaches populations who may not test otherwise. In the Netherlands, at-home HIV tests became commercially available around 2016, but data on user experiences are limited. This study aimed to explore characteristics of users and their experiences with HIVSS/ST.
View Article and Find Full Text PDFBMC Plant Biol
January 2025
Department of Field Crops, Faculty of Agriculture, Necmettin Erbakan University, Konya, 42310, Türkiye.
Background: Innovation in crop establishment is crucial for wheat productivity in drought-prone climates. Seedling establishment, the first stage of crop productivity, relies heavily on root and coleoptile system architecture for effective soil water and nutrient acquisition, particularly in regions practicing deep planting. Root phenotyping methods that quickly determine coleoptile lengths are vital for breeding studies.
View Article and Find Full Text PDFClin Epigenetics
January 2025
Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
Alcohol consumption is an important risk factor for multiple diseases. It is typically assessed via self-report, which is open to measurement error through recall bias. Instead, molecular data such as blood-based DNA methylation (DNAm) could be used to derive a more objective measure of alcohol consumption by incorporating information from cytosine-phosphate-guanine (CpG) sites known to be linked to the trait.
View Article and Find Full Text PDFMetabolomics
January 2025
Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Background: Gestational exposure to non-persistent endocrine-disrupting chemicals (EDCs) may be associated with adverse pregnancy outcomes. While many EDCs affect the endocrine system, their effects on endocrine-related metabolic pathways remain unclear. This study aims to explore the global metabolome changes associated with EDC biomarkers at delivery.
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