IntI1gene abundance from septic tanks in Thailand using validated intl1 primers
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ABSTRACT:
PROVIDER: PRJEB65102 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR11835700_1.fastq.gz | Fastqsanger.gz | |||
| ERR11835700_2.fastq.gz | Fastqsanger.gz | |||
| ERR11835701_1.fastq.gz | Fastqsanger.gz | |||
| ERR11835701_2.fastq.gz | Fastqsanger.gz | |||
| ERR11835702_1.fastq.gz | Fastqsanger.gz |
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Project description:Intl1 gene abundance from septic tanks in Thailand using validated intl1 primers
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Project description:ImportanceAntimicrobial resistance is a global crisis, and wastewater treatment, including septic tanks, remains an important source of antimicrobial resistance (AMR) genes. The role of septic tanks in disseminating class 1 integron, and by extension AMR genes, in Thailand, where antibiotic use is unregulated remains understudied. We aimed to monitor gene abundance as a proxy to infer potential AMR from septic tanks in Thailand. We evaluated published intI1 primers due to the lack of consensus on optimal Q-PCR primers and the absence of standardization. Our findings confirmed septic tanks are a source of class 1 integron to the environment. We highlighted the significance of intI1 primer choice, in the context of interpretation of risk associated with AMR spread from septic tanks. We recommend the validated set (F3-R3) for optimal intI1 quantification toward the goal of achieving standardization across studies.
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Project description:Long interspersed nuclear element-1 (LINE1) retrotransposons are classified into different subfamilies based on evolutionary history. For human biology, the L1PA lineage of LINE1s is particularly significant. This lineage contains both retrotransposition-competent and inactive subfamilies. PCR-based methods are widely used to monitor LINE1s in genomic DNA. However, PCR analysis distinguishing between L1PA lineage subfamilies of different evolutionary age is thus far challenging due to the difficulty to design primers that are sufficiently specific. Here, we developed and applied a workflow to design PCR primers that discriminate between different subfamilies of the L1PA lineage. Amplicon sequencing after PCR amplification of genomic DNA confirmed that the primers differentiate between groups of L1PA subfamilies of different evolutionary age. We validated the primers using RT-qPCR and verified consistency with publicly available RNA-seq data. Moreover, inhibition of DNA methyltransferase activity produced a dose-dependent increase in signals from primers selective for the younger subfamilies, consistent with transcriptional de-repression. These primers enable PCR-based surveys that can stratify expression, copy number or epigenetic modification for L1PA subfamilies of differing evolutionary age.
2025-07-09 | GSE301759 | GEO
Project description:BackgroundQuantitative polymerase chain reaction (QPCR) is a widely applied analytical method for the accurate determination of transcript abundance. Primers for QPCR have been designed on a genomic scale but non-specific amplification of non-target genes has frequently been a problem. Although several online databases have been created for the storage and retrieval of experimentally validated primers, only a few thousand primer pairs are currently present in existing databases and the primers are not designed for use under a common PCR thermal profile.ResultsWe previously reported the implementation of an algorithm to predict PCR primers for most known human and mouse genes. We now report the use of that resource to identify 17483 pairs of primers that have been experimentally verified to amplify unique sequences corresponding to distinct murine transcripts. The primer pairs have been validated by gel electrophoresis, DNA sequence analysis and thermal denaturation profile. In addition to the validation studies, we have determined the uniformity of amplification using the primers and the technical reproducibility of the QPCR reaction using the popular and inexpensive SYBR Green I detection method.ConclusionWe have identified an experimentally validated collection of murine primer pairs for PCR and QPCR which can be used under a common PCR thermal profile, allowing the evaluation of transcript abundance of a large number of genes in parallel. This feature is increasingly attractive for confirming and/or making more precise data trends observed from experiments performed with DNA microarrays.
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Project description:Environmental DNA (eDNA) techniques refer to utilizing the organisms' DNA extracted from environment samples to genetically identify target species without capturing actual organisms. eDNA metabarcoding via high-throughput sequencing can simultaneously detect multiple fish species from a single water sample, which is a powerful tool for the qualitative detection and quantitative estimates of multiple fish species. However, sequence counts obtained from eDNA metabarcoding may be influenced by many factors, of which primer bias is one of the foremost causes of methodological error. The performance of 18 primer pairs for COI, cytb, 12S rRNA, and 16S rRNA mitochondrial genes, which are all frequently used in fish eDNA metabarcoding, were evaluated in the current study. The ribosomal gene markers performed better than the protein-coding gene markers during in silico screening, resulting in higher taxonomic coverage and appropriate barcode lengths. Four primer pairs-AcMDB07, MiFish-U, Ve16S1, and Ve16S3-designed for various regions of the 12S and 16S rRNA genes were screened for tank metabarcoding in a case study targeting six freshwater fish species. The four primer pairs were able to accurately detect all six species in different tanks, while only MiFish-U, Ve16S1, and Ve16S3 revealed a significant positive relationship between species biomass and read count for the pooled tank data. The positive relationship could not be found in all species within the tanks. Additionally, primer efficiency differed depending on the species while primer preferential species varied in different fish assemblages. This case study supports the potential for eDNA metabarcoding to assess species diversity in natural ecosystems and provides an alternative strategy to evaluate the performance of candidate primers before application of eDNA metabarcoding in natural ecosystems.
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Project description:Septic tanks in low- and middle-income countries are often not emptied for a long time, potentially resulting in poor pollutant removal efficiency and increased greenhouse gas emissions, including methane (CH4). We examined the impact of long emptying intervals (4.0-23 years) on the biochemical oxygen demand (BOD) removal efficiency of 15 blackwater septic tanks and the CH4 emission rates of 23 blackwater septic tanks in Hanoi. The average BOD removal efficiency was 37% (-2-65%), and the average CH4 emission rate was 10.9 (2.2-26.8) g/(cap·d). The emptying intervals were strongly negatively correlated with BOD removal efficiency (R = -0.676, p = 0.006) and positively correlated with CH4 emission rates (R = 0.614, p = 0.001). CH4 emission rates were positively correlated with sludge depth (R = 0.596, p = 0.002), but against expectation, negatively correlated with BOD removal efficiency (R = -0.219, p = 0.451). These results suggest that shortening the emptying interval improves the BOD removal efficiency and reduces the CH4 emission rate. Moreover, the CH4 emission estimation of the Intergovernmental Panel on Climate Change, which is a positive conversion of BOD removal, might be inaccurate for septic tanks with long emptying intervals. Our findings suggest that emptying intervals, sludge depth, and per-capita emission factors reflecting long emptying intervals are potential parameters for accurately estimating CH4 emissions from septic tanks.
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