Evidence map›Paper›PMID 39296295›Full record

ArticleFrontiers in microbiology2024

Developing the script "degenerate primer 111" to enhance the coverage of universal primers for the small subunit rRNA gene on target microorganisms.

Zhihui Qin, Xin Xu, Fengjun Xu, Yao Zhang, Peng Su, Chaofeng Shen

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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

6 authors.

Zhihui QinDepartment of Environmental Engineering, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China.
Xin XuDepartment of Environmental Engineering, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China.
Fengjun XuDepartment of Environmental Engineering, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China.
Yao ZhangDepartment of Environmental Engineering, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China.
Peng SuDepartment of Environmental Engineering, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China.
Chaofeng ShenDepartment of Environmental Engineering, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amplifying small subunit (SSU) rRNA genes with universal primers in assessing microbial populations diversity, but target microorganisms are sometimes omitted due to inadequate primer coverage. Adding degenerate bases to primers can help, but existing methods are complex and time-consuming. This study introduces a user-friendly tool called "Degenerate primer 111" for adding degenerate bases to existing universal primers. By aligning one universal primer with one uncovered target microorganism's SSU rRNA gene, this tool iteratively generates a new primer, maximizing coverage for the target microorganisms. The tool was used to modify eight pairs of universal primers (515F Parada-806R Apprill, S-D-Bact-0341-b-S-17/S-D-Bact-0785-a-A-21, OP_F114-KP_R013, 27F-1492R, 341F-806R, OP_F066-KP_R013, 515F Parada-926R Quince, 616*F-1132R), and generated 29 new universal primers with increased coverage of specific target microorganisms without increasing coverage of non-target microorganisms. To verify the effectiveness of the improved primers, one set of original and improved primers (BA-515F-806R and BA-515F-806R-M1) was used to amplify DNA from the same sample, and high-throughput sequencing of the amplicons confirmed that the improved primers detected more microbial species compared to the original primers. Future researchers can use this tool to develop more personalized primers to meet their diverse microorganism detection needs.

Indexed as

16S rRNA18S rRNAarchaeabacteriaDehalococcoideseukaryotehigh-throughput sequencing

Identifiers

PMID39296295
PMCPMC11409422

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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.