Evidence map›Paper›PMID 22510143›Full record

ArticleBMC microbiology2012

BactQuant: an enhanced broad-coverage bacterial quantitative real-time PCR assay.

Cindy M Liu, Maliha Aziz, Sergey Kachur, Po-Ren Hsueh, Yu-Tsung Huang, Paul Keim, Lance B Price

Abstract readEvaluation Study
In one paragraph

Article in BMC microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 164 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
164citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

164 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Nutrients · 2023
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  14. Comparative phase I randomized open-label pilot clinical trial of GynophilusEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2018
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104 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Cindy M LiuDivision of Pathogen Genomics, Translational Genomics Research Institute, 3051 W, Shamrell Blvd,, Suite 106, Flagstaff, AZ 86001, USA.
Maliha Aziz
Sergey Kachur
Po-Ren Hsueh
Yu-Tsung Huang
Paul Keim
Lance B Price

Funding

Genital Anaerobes, Inflammation and HIV Risk; RakaiR01AI087409 · NIAID · JOHNS HOPKINS UNIVERSITY · PI GRAY, RONALD H, PRICE, LANCE BRADLEY · 2010 to 2012
$2.5M
Microbial ecology in the Chronic Rhinosinusitis MicrobiomeR15DE021194 · NIDCR · NORTHERN ARIZONA UNIVERSITY · PI FOSTER, JEFFREY T. · 2010 to 2010
$485k
NIAID NIH HHS R01 AI087409NIAID NIH HHS R01AI087409-01A1NIDCR NIH HHS R15 DE021194NIDCR NIH HHS R15DE021194-01
6 · The paper itself

Abstract

backgroundBacterial load quantification is a critical component of bacterial community analysis, but a culture-independent method capable of detecting and quantifying diverse bacteria is needed. Based on our analysis of a diverse collection of 16 S rRNA gene sequences, we designed a broad-coverage quantitative real-time PCR (qPCR) assay--BactQuant--for quantifying 16 S rRNA gene copy number and estimating bacterial load. We further utilized in silico evaluation to complement laboratory-based qPCR characterization to validate BactQuant.

methodsThe aligned core set of 4,938 16 S rRNA gene sequences in the Greengenes database were analyzed for assay design. Cloned plasmid standards were generated and quantified using a qPCR-based approach. Coverage analysis was performed computationally using >670,000 sequences and further evaluated following the Minimum Information for Publication of Quantitative Real-Time PCR Experiments (MIQE) guidelines.

resultsA bacterial TaqMan® qPCR assay targeting a 466 bp region in V3-V4 was designed. Coverage analysis showed that 91% of the phyla, 96% of the genera, and >80% of the 89,537 species analyzed contained at least one perfect sequence match to the BactQuant assay. Of the 106 bacterial species evaluated, amplification efficiencies ranged from 81 to 120%, with r2-value of >0.99, including species with sequence mismatches. Inter- and intra-run coefficient of variance was <3% and <16% for Ct and copy number, respectively.

conclusionsThe BactQuant assay offers significantly broader coverage than a previously reported universal bacterial quantification assay BactQuant in vitro performance was better than the in silico predictions.

Indexed as

BacteriaBacterial LoadDNA, RibosomalGenes, rRNAHumansReal-Time Polymerase Chain ReactionRNA, Ribosomal, 16SDNA, RibosomalRNA, Ribosomal, 16S

Identifiers

PMID22510143
PMCPMC3464140

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.