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Quantification of Propionibacterium acidipropionici P169 bacteria in environmental samples by use of strain-specific primers derived by suppressive subtractive hybridization.

ABSTRACT: A quantitative PCR (qPCR) assay targeting a gene identified by suppressive subtractive hybridization (SSH) was developed to detect Propionibacterium acidipropionici P169, with a threshold of 10(4) CFU/U of dairy feed or rumen fluid. The report is the first using a molecular marker generated by SSH to quantify a bacterial strain in environmental samples.

SUBMITTER: Peng M

PROVIDER: S-EPMC3127586 | biostudies-literature | 2011 Jun

REPOSITORIES: biostudies-literature

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Quantification of Propionibacterium acidipropionici P169 bacteria in environmental samples by use of strain-specific primers derived by suppressive subtractive hybridization.

Peng Min M Smith Alexandra H AH Rehberger Thomas G TG

Applied and environmental microbiology 20110401 11

A quantitative PCR (qPCR) assay targeting a gene identified by suppressive subtractive hybridization (SSH) was developed to detect Propionibacterium acidipropionici P169, with a threshold of 10(4) CFU/U of dairy feed or rumen fluid. The report is the first using a molecular marker generated by SSH to quantify a bacterial strain in environmental samples. ...[more]

PMID: 21460112

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Project description:The extent of arsenic contamination in drinking water and its potential threat to human health have resulted in considerable research interest in the microbial species responsible for arsenic reduction. The arsenate reductase gene (arrA), an important component of the microbial arsenate reduction system, has been widely used as a biomarker to study arsenate-reducing microorganisms. A new primer pair was designed and evaluated for quantitative PCR (qPCR) and high-throughput sequencing of the arrA gene, because currently available PCR primers are not suitable for these applications. The primers were evaluated in silico and empirically tested for amplification of arrA genes in clones and for amplification and high-throughput sequencing of arrA genes from soil and groundwater samples. In silico, this primer pair matched (≥90% DNA identity) 86% of arrA gene sequences from GenBank. Empirical evaluation showed successful amplification of arrA gene clones of diverse phylogenetic groups, as well as amplification and high-throughput sequencing of independent soil and groundwater samples without preenrichment, suggesting that these primers are highly specific and can amplify a broad diversity of arrA genes. The arrA gene diversity from soil and groundwater samples from the Cache Valley Basin (CVB) in Utah was greater than anticipated. We observed a significant correlation between arrA gene abundance, quantified through qPCR, and reduced arsenic (AsIII) concentrations in the groundwater samples. Furthermore, we demonstrated that these primers can be useful for studying the diversity of arsenate-reducing microbial communities and the ways in which their relative abundance in groundwater may be associated with different groundwater quality parameters. Arsenic is a major drinking water contaminant that threatens the health of millions of people worldwide. The extent of arsenic contamination and its potential threat to human health have resulted in considerable interest in the study of microbial species responsible for the reduction of arsenic, i.e., the conversion of AsV to AsIII In this study, we developed a new primer pair to evaluate the diversity and abundance of arsenate-reducing microorganisms in soil and groundwater samples from the CVB in Utah. We observed significant arrA gene diversity in the CVB soil and groundwater samples, and arrA gene abundance was significantly correlated with the reduced arsenic (AsIII) concentrations in the groundwater samples. We think that these primers are useful for studying the ecology of arsenate-reducing microorganisms in different environments.

Dataset Information

Quantification of Propionibacterium acidipropionici P169 bacteria in environmental samples by use of strain-specific primers derived by suppressive subtractive hybridization.

Publications

Quantification of Propionibacterium acidipropionici P169 bacteria in environmental samples by use of strain-specific primers derived by suppressive subtractive hybridization.

Similar Datasets

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