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DOI 10.1016/j.crmeth.2026.101509

Медицинская библиотека · Cell reports methods · 2026

MalDeepSeq panel: A targeted ultra-deep sequencing approach to trace drug resistance markers in Plasmodium falciparum.

Salazar Yanka E A R, Rezende Antonio M, Puça Maria C S B, Lagström Sonja, Fletcher Danielle, Muwanguzi-Karugaba Julian, Sutherland Colin J, Beshir Khalid B, Mascarenhas Maria E P, Louzada Jaime, Oliveira-Ferreira Joseli, Djimde Abdoulaye, Lopes Dinora, de Sousa Tais N, Gil José P

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Аннотация

The emergence of drug-resistant Plasmodium falciparum highlights the need for tools to detect minor parasite subpopulations before resistant lineages expand. We developed and validated a targeted ultra-deep sequencing framework for the full-length sequences of 48 antimalarial resistance genes. Performance was evaluated using 3D7:Dd2 mock mixtures and clinical samples after selective whole-genome amplification. The panel achieved high depth and breadth, including for dried blood spot samples. Using Dd2-fixed markers, Mutect2 and HaplotypeCaller reproduced expected variant-allele frequencies, with Mutect2 exhibiting lower global bias and error. A conservative truth set derived from Dd2-pure controls yielded perfect recall and no false-positives in 3D7 controls, with high recovery of true Dd2 variants in mock mixtures for both callers. In clinical samples, the panel captured within-host diversity and minority resistance alleles. Overall, these results demonstrate that targeted deep sequencing offers a cost-efficient, high-resolution approach for routine molecular surveillance of emerging drug resistance.

Для цитирования: Salazar Yanka E A R, Rezende Antonio M, Puça Maria C S B, Lagström Sonja, Fletcher Danielle, Muwanguzi-Karugaba Julian, Sutherland Colin J, Beshir Khalid B, Mascarenhas Maria E P, Louzada Jaime, Oliveira-Ferreira Joseli, Djimde Abdoulaye, Lopes Dinora, de Sousa Tais N, Gil José P. MalDeepSeq panel: A targeted ultra-deep sequencing approach to trace drug resistance markers in Plasmodium falciparum.. Cell reports methods. 2026. DOI: 10.1016/j.crmeth.2026.101509.

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