Ikegbunam Moses, Harrison Abone, Egbuche Chukwudi, Obidi Nwasolu, Mbamalu Judith, Emmanuel Enyi, Kosisochukwu Offojebe, Ezeunala Mercy, Chibumma Nzeukwu, Onochie-Igbinedion Ifeyinwa, Igwe Joy, Nnanna Joy, Ezeagwuna Dorothy, Duru Vincent, Nworji Frances, Esimone Charles
Department of Pharmaceutical Microbiology and Biotechnology, Nnamdi Azikiwe University, Awka Nigeria.
Molecular Research foundation for students and scientists, Nnamdi Azikiwe University, Awka, Nigeria.
Malariaworld J. 2025 Feb 18;16:4. doi: 10.5281/zenodo.14886922. eCollection 2025.
The genetic diversity of correlates with its pathogenicity, therefore design of evidence-based intervention strategies to eradicate malaria requires genetic diversity surveillance. This study characterised the allelic frequencies and genetic diversity of parasites isolated from Awka, Nigeria.
Genomic DNA was extracted from 177 isolates and the polymorphic regions of the and genes were genotyped by nested polymerase chain reaction (PCR).
Two alleles (3D7 and FC27) were analysed. The 3D7 (93.55%) allelic family was predominant in positivie isolates. Polyclonal infection was observed in 24 (38.71%) isolates. Twenty-one distinct alleles were detected, with fragment sizes ranging from 200 bp to 1200 bp. The 300 bp allelic fragment (26.83%) was predominant for the 3D7 allele, while the 400 bp allelic fragment (29.54%) was predominant for the FC27 allele. The multiplicity of infection (MoI) in was 2.03, and the expected Heterozygosity (He) was 0.34. Sixty-nine isolates (38.98%) were positive for the RII repeat region of the gene. For the gene, nine alleles were detected for fragment sizes ranging from 200 bp to 1150 bp, and the most prevalent allelic fragment was 200 bp (19%). The MoI and He for the gene were 0.45 and 0.98, respectively.
The high level of polyclonal infections with parasites observed in this study indicates extensive genetic diversity in the study area. The data provide important baseline information that can be implemented in developing malaria control strategies and elimination in the study area and Nigeria.
疟原虫的遗传多样性与其致病性相关,因此设计基于证据的根除疟疾干预策略需要进行遗传多样性监测。本研究对从尼日利亚阿库分离的疟原虫的等位基因频率和遗传多样性进行了表征。
从177株疟原虫分离物中提取基因组DNA,并通过巢式聚合酶链反应(PCR)对疟原虫的和基因的多态性区域进行基因分型。
分析了两个疟原虫等位基因(3D7和FC27)。3D7(93.55%)等位基因家族在疟原虫阳性分离物中占主导地位。在24株(38.71%)分离物中观察到多克隆疟原虫感染。检测到21个不同的等位基因片段,片段大小从200 bp到1200 bp不等。300 bp等位基因片段(26.83%)在3D7等位基因中占主导地位,而400 bp等位基因片段(29.54%)在FC27等位基因中占主导地位。疟原虫的感染 multiplicity(MoI)为2.03,预期杂合度(He)为0.34。69株(38.98%)分离物的基因RII重复区域呈阳性。对于基因,检测到9个等位基因片段,片段大小从200 bp到1150 bp不等,最常见的等位基因片段为200 bp(19%)。基因的MoI和He分别为0.45和0.98。
本研究中观察到的疟原虫多克隆感染水平较高,表明研究区域存在广泛的遗传多样性。这些数据提供了重要的基线信息,可用于制定研究区域和尼日利亚的疟疾控制策略及消除计划。