ArticleJournal of industrial microbiology & biotechnology2010
Selective enumeration strategies for Brevundimonas diminuta from drinking water.
Article in Journal of industrial microbiology & biotechnology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed, 14 citations in OpenAlex.
- Polysaccharides and proteins added to flowing drinking water at microgram-per-liter levels promote the formation of biofilms predominated by bacteroidetes and proteobacteria.Applied and environmental microbiology · 2014Article
- Quantitative real-time PCR and fluorescence in situ hybridization approaches for enumerating Brevundimonas diminuta in drinking water.Journal of industrial microbiology & biotechnology · 2010Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Brevundimonas diminuta is used as a control organism for validating the efficiency of water filtration systems. Since these protocols use nonselective growth media, heterotrophic plate count bacteria (HPCs) indigenous to the water distribution system may interfere with B. diminuta enumeration, thus leading to inaccurate assessment of the filter's microbial reduction capability. This could negatively impact public health as unsafe drinking water may be produced. This study was conducted to evaluate different potential routes for selective enumeration of B. diminuta in drinking water. B. diminuta's biochemical and molecular relationships to HPCs recovered from a laboratory drinking-water system were investigated. Of the 24 HPC morphotypes recovered, members of the Alpha- and Betaproteobacteria were most commonly identified. Based on comparisons of catabolic profiles (generated by the Biolog system) using principal component analysis, B. diminuta possessed similar metabolic patterns to several of the Alphaproteobacteria (Sphingomonas and Caulobacter), indicating that development of a selective medium based solely on carbon source was not feasible. Antibiotic susceptibility profiles revealed that the HPCs were least resistant to kanamycin, making it a candidate for future selective applications. Sequence comparisons of partial 16S rRNA sequences did not reveal any distinct similarities. However, basic local alignment search tool (BLAST) alignments of the gyrB and rpoD sequences for B. diminuta did show uniqueness, with the next closest match being to Caulobacter (88% and 79% similarity, respectively). Future investigation will focus on applying molecular assays, such as fluorescent in situ hybridization and quantitative real-time polymerase chain reaction (PCR), and incorporating an antibiotic marker or expressed fluorescent protein into the wild-type strain of B. diminuta for selective enumeration of B. diminuta.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.