Scientific ReportsGenomicsPeer-reviewed journal article
Targeted enrichment outperforms other enrichment techniques and enables more multi-species RNA-Seq analyses
Matthew C. ChungiD, Laura E. TeigeniD, Hong LiuiD, Silvia LibroiD, Amol Carl ShettyiD, Nikhil KumariD, Xuechu Zhao, Robin E. BromleyiD, Luke J. TalloniD, Lisa SadzewicziD, Claire M. FraseriD, David A. RaskoiD, Scott G. FilleriD, Jeremy M. FosteriD, Michelle L. MichalskiiD, Vincent M. BrunoiD, Julie C. Dunning HotoppiD
Abstract
Enrichment methodologies enable analysis of minor members in multi-species transcriptomic analyses. We compared standard enrichment of bacterial and eukaryotic mRNA to targeted enrichment with Agilent SureSelect (AgSS) capture for Brugia malayi, Aspergillus fumigatus, and the Wolbachia endosymbiont of B. malayi (wBm). Without introducing significant systematic bias, the AgSS quantitatively enriched samples, resulting in more reads mapping to the target organism. The AgSS-enriched libraries consistently had a positive linear correlation with its unenriched counterpart (r2=0.559-0.867). Up to a 2,242-fold enrichment of RNA from the target organism was obtained following a power law (r2=0.90), with the greatest fold enrichment achieved in samples with the largest ratio difference between the major and minor members. While using a single total library for prokaryote and eukaryote in a single sample could be beneficial for samples where RNA is limiting, we observed a decrease in reads mapping to protein coding genes and an increase of multi-mapping reads to rRNAs in AgSS enrichments from eukaryotic total RNA libraries as opposed to eukaryotic poly(A)-enriched libraries. Our results support a recommendation of using Agilent SureSelect targeted enrichment on poly(A)-enriched libraries for eukaryotic captures and total RNA libraries for prokaryotic captures to increase the robustness of multi-species transcriptomic studies.
- organism: human
- organism: mouse
- organism: rat
- assay: bulk RNA-seq
- research focus: benchmarking
- research focus: variant calling
- research focus: gene regulatory network inference
- research focus: differential expression
- approach: experimental assay
- Citations
- 30
- FWCI
- 1.16
- Field percentile
- top 23%
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