bioRxivBioinformaticsPreprint
Primer Blind Spots: Underrepresentation of ESKAPE Pathogens from Developing Regions in 16S rRNA Targeted Sequencing
Abstract
Targeted 16S rRNA sequencing is stalwart of microbial profiling and diagnostics, but its reliance on some "universal" primers introduces bias. In this in-silico study, we investigated how well these primers capture ESKAPE pathogens by screening multiple databases and found that a considerable fraction showed suboptimal primer binding, suggesting that amplification and identification may be compromised. Notably, these strains were disproportionately associated with isolates from developing countries, underscoring the risk of primer bias in global surveillance.
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- KuafuPrimer: Machine learning empowers the design of 16S amplicon sequencing primers toward minimal bias for bacterial communities
Haoyu Zhang, Xiaoqing Jiang, … Huaiqiu Zhu·bioRxiv·Mar 31, 2026
- Revised 16S rRNA V4 hypervariable region targeting primers enhance detection of Patescibacteria and other lineages across diverse environments
Huifeng Hu, Clemens Karwautz, … Petra Pjevac·ISME CommunicationsPeer-reviewed·Jan 1, 2026
- Comprehensive single-PCR 16S and 18S rRNA community analysis validated with mock communities and denoising algorithms
Y.-C. Yeh, J. C. McNichol, … J. A. Fuhrman·bioRxiv·Dec 6, 2019
- pr2-primers: an 18S rRNA primer database for protists
- An optimized 16S rRNA sequencing protocol for vaginal microbiome to avoid biased abundance estimation
- Thousands of primer-free, high-quality, full-length SSU rRNA sequences from all domains of life
Soeren M Karst, Morten S Dueholm, … Mads Albertsen·bioRxiv·Aug 22, 2016