| Literature DB >> 28376874 |
Patrick Reteng1, Visia Vrisca1, Inka Sukarno1, Ilham Habib Djarkoni1, Jane Angela Kalangi1, George Eduardo Jacobs1, Lucky Ronald Runtuwene2, Yuki Eshita3,4,5, Ryuichiro Maeda6, Yutaka Suzuki2, Arthur Elia Mongan1, Sarah Maria Warouw1, Junya Yamagishi7,8, Josef Tuda1.
Abstract
BACKGROUND: Malaria still poses one of the major threats to human health. Development of effective antimalarial drugs has decreased this threat; however, the emergence of drug-resistant Plasmodium falciparum, a cause of Malaria, is disconcerting. The antimalarial drug chloroquine has been effectively used, but resistant parasites have spread worldwide. Interestingly, the withdrawal of the drug reportedly leads to an increased population of susceptible parasites in some cases. We examined the prevalence of genomic polymorphisms in a malaria parasite P. falciparum, associated with resistance to an antimalarial drug chloroquine, after the withdrawal of the drug from Indonesia.Entities:
Keywords: Chloroquine; Genetic polymorphism; Indonesia; Malaria; Multiplex sequencing; North Sulawesi; PCR–RFLP; Plasmodium falciparum; pfcrt; pfmdr1
Mesh:
Substances:
Year: 2017 PMID: 28376874 PMCID: PMC5379540 DOI: 10.1186/s13104-017-2468-1
Source DB: PubMed Journal: BMC Res Notes ISSN: 1756-0500
Fig. 1Geographical representation of the sampling sites. Dots represent cities where blood samples were collected. The dashed circle represents the Minahasa region where a previous study was conducted [21]
Primers used in the PCR–RFLP analyses
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| 1st amplification | |
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| GCGCGCGCATGGCTCACGTTTAGGTGGAG | |
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| GGGCCCGGCGGATGTTACAAAACTATAGTTACC | |
| 2nd amplification for PCR–RFLP | |
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| TGTGCTCATGTGTTTAAACTT | |
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| CAAAACTATAGTTACCAATTTTG | |
| 2nd amplification for NGS amplicon sequencing | |
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| ACACTCTTTCCCTACACGACGCTCTTCCGATCTNNTGTGCTCATGTGTTTAAACTT | |
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| GTGACTGGAGTTCAGACGTGTGCTCTTCCGATCTNNCAAAACTATAGTTACCAATTTTG | |
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| 1st amplification | |
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| GCGCGCGTTGAACAAAAAGAGTACCGCTG | |
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| GGGCCCTCGTACCAATTCCTGAACTCAC | |
| 2nd amplification for PCR–RFLP | |
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| TTTACCGTTTAAATGTTTACCTGC | |
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| CCATCTTGATAAAAAACACTTCTT | |
| 2nd amplification for NGS amplicon sequencing | |
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| ACACTCTTTCCCTACACGACGCTCTTCCGATCTNNACCGTTTAAATGTTTACCTGC | |
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| GTGACTGGAGTTCAGACGTGTGCTCTTCCGATCTNNCATCTTGATAAAAAACACTTCTT |
Fig. 2Representative images of the PCR–RFLP results. M:100-bp marker, 3D7 Control sample prepared using DNA extracted from the chloroquine-susceptible 3D7 strain
Fig. 3Summary of the diagnosis and genotyping by PCR–RFLP, and the amplicon sequences. a The upper and lower panels show the results for pfcrt and pfmdr1, respectively. As shown by the two bars on the left, 59 samples were diagnosed as P. falciparum or P. falciparum–P. vivax-mixed infections according to Giemsa tests conducted by regional doctors. As shown by the two bars in the middle, 30 were diagnosed as P. vivax infections. As shown by the two bars on the right, six had no medical descriptions. In each set of bars, the left bar represents the genotype determined by PCR–RFLP and the right bar represents that detected by amplicon sequencing. b Cross tables comparing the genotyping results obtained by amplicon sequencing and PCR–RFLP. The tables on the left and right show the results for pfcrt and pfmdr1, respectively. NA not available because of a lack of PCR amplicons, nd no medical descriptions available from the collected sample
Fig. 4Scheme of next generation-based high-throughput multiplex amplicon sequencing and a representative result. a Target regions amplified by nested PCR. In the second PCR, primers with tags for the third PCR were used. In the third PCR, the primers had unique pairs of indices for multiplex sequencing. After sequencing with MiSeq, the reads obtained were separated according to the indices. Red and blue lines represent index sequences with priming targets for Illumina sequencing. b Snapshot of the mapped reads for sample ID A1 with IGV. Arrowheads represent the called variants. The reference is the sequence for the 3D7 strain. c Validation by Sanger sequencing of the corresponding region. Arrowheads represent polymorphisms detected by sequencing
Prevalence rates of pfcrt 76T and pfmdr1 86Y polymorphisms in this and previous studies
| Year | Region |
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| Reference |
|---|---|---|---|---|
| 2010 | Manado | 26/26 (100%) | 24/29 (82.8%) | This study |
| 2010 | Bitung | 18/18 (100%) | 21/22 (95.5%) | This study |
| 2010 | (Total) | 44/44 (100%) | 45/51 (88.2%) | This study |
| 2004 | Flores (East NusaTenggara) | 20/20 (100%) | 3/19 (15.8%) | [ |
| 2004 | Armopa (West Papua) | 13/15 (86.7%) | 4/15 (26.7%) | [ |
| 2004 | Minahasa (North Sulawesi) | 17/18 (94.4%) | 19/20 (95.0%) | [ |
| 2004 | Mamuju (South Sulawesi) | 16/16 (100%) | 10/16 (62.5%) | [ |
| 2004 | Nias (North Sumatra) | 20/20 (100%) | 19/19 (100%) | [ |
| 2004 | Hanura (Lampung) | 25/25 (100%) | 41/41 (100%) | [ |
| 2004 | Kokap (Central Java) | 21/21 (100%) | 28/28 (100%) | [ |
| 2004 | Kutai (East Kalimantan) | 19/19 (100%) | 28/28 (100%) | [ |
| 2010 | Peninsular Malaysia | 39/75 (52.0%) | 4/75 (5.3%) | [ |
| 2009 | Upper southern part of Thailand | 66/66 (100%) | 24/66 (36.4%) | [ |
| 2009 | Lower southern part of Thailand | 492/492 (100%) | 474/492 (96.3%) | [ |
| 2004 | Cambodia | NA* | 2/93 (2.2%) | [ |
| 2001 | West part if Thailand | 271/271 (100%) | 8/270 (3.0%) | [ |
| 2006 | Kenya | 30/48 (62.5%) | 31/38 (81.6%) | [ |
| 2011 | Benin | 200/213 (93.9%) | 121/212 (57.1%) | [ |
| 2000 | Malawi | 10/75 (13.3%) | 10/44 (23.0%) | [ |
| 2009 | Senegal | NA* | 26/174 (14.9%) | [ |