Development of a digital droplet PCR approach for the quantification of soil micro‐organisms involved in atmospheric CO2 fixation DOI Creative Commons
Marie Le Geay, Kyle Mayers, Martin Küttim

et al.

Environmental Microbiology, Journal Year: 2024, Volume and Issue: 26(6)

Published: June 1, 2024

Abstract Carbon‐fixing micro‐organisms (CFMs) play a pivotal role in soil carbon cycling, contributing to uptake and sequestration through various metabolic pathways. Despite their importance, accurately quantifying the absolute abundance of these soils has been challenging. This study used digital droplet polymerase chain reaction (ddPCR) approach measure key emerging CFMs pathways fen bog at different depths, ranging from 0 15 cm. We targeted total prokaryotes, oxygenic phototrophs, aerobic anoxygenic phototrophic bacteria chemoautotrophs, optimizing conditions achieve quantification genes. Our results revealed that phototrophs were most abundant CFMs, making up 15% prokaryotic abundance. They followed by chemoautotrophs 10% 9%. observed higher gene concentrations than bog. There also variations depth, which differed between for all findings underscore peatlands, challenging previous estimates relied solely on microbial dioxide fixation assessments. Incorporating is essential comprehensive understanding contributions processes. sheds light complex mechanisms functioning peatlands.

Language: Английский

Clinical evaluation of droplet digital PCR in suspected invasive pulmonary aspergillosis DOI Creative Commons
Yang Liu, Qi Tang,

Sishi Tang

et al.

Clinica Chimica Acta, Journal Year: 2025, Volume and Issue: 569, P. 120153 - 120153

Published: Jan. 24, 2025

Language: Английский

Citations

0

Droplet Digital PCR Provides Highly Sensitive and Accurate Opsin Gene SNP Detection From Wild Primate Fecal Samples DOI Creative Commons
Arthur Gustavo Fernandes,

Saúl Cheves Hernández,

Ronald López Navaro

et al.

Ecology and Evolution, Journal Year: 2025, Volume and Issue: 15(2)

Published: Feb. 1, 2025

ABSTRACT Evaluating field‐sourced samples with poor‐quality and low‐quantity DNA, like animal feces, presents significant challenges in the field of molecular biology. Nonetheless, recent innovations PCR technology are promoted as effective tools to overcome many these issues. Here, we evaluate efficiency droplet digital (ddPCR) a method for color vision assessment from feces white‐faced capuchins ( Cebus imitator ) report frequencies alleles genotypes wild population. The sex‐linked polymorphism monkeys Americas is driven by single nucleotide polymorphisms (SNPs) opsin genes at up three tuning sites. DNA was extracted fecal collected 211 (53.1% males) Sector Santa Rosa, Costa Rica: 56 were evaluated ddPCR, 24 both ddPCR Sanger sequencing, 141 sequencing (historical dataset). same opsins derived each monkey using ddPCR; however, latter far more sensitive required fewer reach definitive genotype. Overall, most frequent phenotypes red green/red. distribution was: Females N = 99): green/red (35.4%), red/red (33.3%), green/yellow (14.1%), yellow/red (12.1%), yellow/yellow (4.0%), green/green (1.0%); Males 112): (60.7%), yellow (23.2%), green (16.1%). reliable evaluating noninvasively advantage excellent sensitivity high‐throughput. highly robust inhibitors can be potentially used identify other disease‐related SNP mutations animals.

Language: Английский

Citations

0

The Same Source of Microbes has a Divergent Assembly Trajectory Along a Hot Spring Flowing Path DOI Open Access
Qing He, Shang Wang, Kai Feng

et al.

Molecular Ecology, Journal Year: 2025, Volume and Issue: unknown

Published: March 15, 2025

ABSTRACT Hot spring microbial mats represent intricate biofilms that establish self‐sustaining ecosystems, hosting diverse communities which facilitate a range of biochemical processes and contribute to the structural functional complexity these systems. While community structuring across mat depth has received substantial attention, mechanisms shaping horizontal spatial composition structure remain understudied. Here, we explored contributions species source, local environment interaction assembly in six regions following flow direction with temperature decreasing from 73.3°C 52.8°C. Surprisingly, found despite divergent structures potential functions different mats, large proportions members (45.50%–80.29%) recipient originated same source at upper limit for photosynthetic life. This finding indicated were dispersed water subsequently filtered shaped by environmental factors. Furthermore, critical specific attributes played pivotal role influencing interactions other microorganisms. Therefore, dispersal via flow, variables, jointly governed assembly, elucidating dimension hot providing insights into within extreme biospheres.

Language: Английский

Citations

0

Evaluating Quantitative Metagenomics for Environmental Monitoring of Antibiotic Resistance and Establishing Detection Limits DOI Creative Commons
Benjamin C. Davis, Peter J. Vikesland, Amy Pruden

et al.

Environmental Science & Technology, Journal Year: 2025, Volume and Issue: unknown

Published: March 18, 2025

Metagenomics holds promise as a comprehensive, nontargeted tool for environmental monitoring. However, one key limitation is that the quantitative capacity of metagenomics not well-defined. Here, we demonstrated metagenomic technique and benchmarked approach wastewater-based surveillance antibiotic resistance genes. To assess variability low-abundance oligonucleotide detection across sample matrices, spiked DNA reference standards (meta sequins) into replicate wastewater extracts at logarithmically decreasing mass-to-mass percentages (m/m%). Meta sequin ladders exhibited strong linearity input concentrations low 2 × 10–3 m/m% (R2 > 0.95), with little to no length or GC bias. At mean sequencing depth 94 Gb, limits quantification (LoQ) were calculated be 1.3 103 1 gene copy per μL extract, respectively. In influent, activated sludge, secondary effluent samples, 27.3, 47.7, 44.3% detected genes ≤LoQ, Volumetric log removal values statistically equivalent between ddPCR 16S rRNA, intI1, sul1, CTX-M-1, vanA. The benchmark here step toward establishing high-throughput, nontargeted,

Language: Английский

Citations

0

Comparison of methods for assessing fungi-to-bacteria ratio of soil DOI Creative Commons
Miikka B. Laine, Sami J. Taipale, Marja Tiirola

et al.

Biology and Fertility of Soils, Journal Year: 2025, Volume and Issue: unknown

Published: March 27, 2025

Language: Английский

Citations

0

Droplet Digital PCR-Based Approach for Identifying Trionycis Carapax and its Chinese Patent Medicines DOI Creative Commons
Yuan Cai,

Xiaoyi Fu,

Peng Yanmei

et al.

Journal of Pharmaceutical and Biomedical Analysis, Journal Year: 2025, Volume and Issue: 262, P. 116863 - 116863

Published: April 5, 2025

Language: Английский

Citations

0

Indoor potted plants have little effect on office dust fungal communities DOI Creative Commons

Abigail Leslie,

Muhtashim Rafiq Chowdhury,

Martin Täubel

et al.

Indoor Environments, Journal Year: 2025, Volume and Issue: unknown, P. 100092 - 100092

Published: April 1, 2025

Language: Английский

Citations

0

Development and validation of a droplet digital PCR assay for sensitive detection and quantification of Phytophthora nicotianae DOI Creative Commons
Yuanyuan Liu, Jiali Li, Zining Guo

et al.

Frontiers in Plant Science, Journal Year: 2025, Volume and Issue: 16

Published: April 25, 2025

Tobacco black shank (TBS) disease, caused by Phytophthora nicotianae (P. nicotianae), poses a significant threat to global agriculture and results in substantial economic losses. Traditional methods, like culture-based techniques quantitative polymerase chain reaction (qPCR), aid pathogen identification but can be less sensitive for complex samples with low loads. Here, we developed validated droplet digital PCR (ddPCR) assay high sensitivity specificity detecting P. nicotianae. ddPCR qPCR revealed comparable analytical performance including limit of blank (LoB), detection (LoD), quantitation (LoQ). For the 68 infectious tobacco root 145 surrounding soil samples, demonstrated greater sensitivity, higher positive rate 96.4% vs 83.9%. Receiver operating characteristic (ROC) analysis showed an area under curve (AUC) was 0.913, compared 0.885 qPCR. Moreover, provided better quantification accuracy concentrations soil, suggesting tolerance potential inhibitors soil. These highlight as robust reliable tool early diagnosis offering valuable improving disease management strategies.

Language: Английский

Citations

0

Application of ddPCR in the rapid diagnosis of bloodstream infections: detection of Staphylococcus, Enterococcus spp, Streptococcus spp and Candida spp DOI
Lijun You, Shuang Liu, Zhiwei Lin

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: May 6, 2025

Abstract Background The current gold standard for the detection of bloodstream infections has several limitations, including a low positivity rate, high contamination and lengthy flow cycle. Droplet digital polymerase chain reaction (ddPCR), novel technique offering sensitivity specificity ability to provide absolute quantification, not been extensively investigated in context infections. Methods A prospective study was conducted on 77 patients with suspected infections, blood cultures ddPCR used investigate presence four pathogens. Additionally, general characteristics relevant routine tests were collected analysed assess diagnostic efficacy Results from intensive care medicine, respiratory other departments considering BSIs enrolled. Blood identified 24 positive samples, 8 Staphylococcus aureus, 12 Enterococcus species, 1 Streptococcus 3 Candida species.. assay demonstrated 100% all pathogen categories specificities 94.20%, 92.31%, 93.42%, 94.59%, respectively. In addition, simultaneously detected 4 cases polymicrobial 14 negative cultures, which verified by Sanger sequencing. assay's time significantly shorter than that an average 4.31 ± 0.94 hours compared 68.40 2.50 (p < 0.01). Conclusion present demonstrates droplet (ddPCR) reduces turnaround culture specimens. Furthermore, it sensitivity, predictive value, enables early diagnosis larger number samples is required validate correlation between quantification patient severity prognosis.

Language: Английский

Citations

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The riddle of soil microbial assessments in organic greenhouse horticulture DOI
Beatrix Alsanius, Anna Karin Rosberg

Acta Horticulturae, Journal Year: 2025, Volume and Issue: 1428, P. 1 - 12

Published: May 1, 2025

Language: Английский

Citations

0