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. 2020 Jun 16;10:9706. doi: 10.1038/s41598-020-66537-1

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© This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2020

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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High-throughput sequencing and bioinformatics analysis of the SELEX enrichment. (A) Based on the percent of individual copies of unique sequences (singletons), sequencing results reveal a reduced enrichment using the alkaline-based SELEX compared with a parallel experiment performed using lambda exonuclease as the ssDNA recovery method. (B) The plot of number of different sequences as a function of enrichment. (C) Representative doughnut graphs of primary sequence alignments. The top 500 unique sequences shows no aptamer clustering from the alkaline SELEX whereas the lambda SELEX reveals a prominent aptamer cluster represented by Malaria.1. Two other clusters, represented by Malaria.2 and Malaria.3 were also identified. Open regions represent sequences that could not be clustered.