Instituto de Biologia (IB), Universidade de Campinas - UNICAMP, Campinas, Brazil; Programa de Pós-Graduação em Genética e Biologia Molecular, IB, UNICAMP; Coordenação de Prevenção e Vigilância do Câncer (CONPREV), Instituto Nacional de Câncer, Rio de Janeiro, Brazil.
Departamento de Biologia Vegetal, IB, UNICAMP.
Acta Trop. 2024 Apr;252:107144. doi: 10.1016/j.actatropica.2024.107144. Epub 2024 Feb 7.
Understanding the population dynamics of vectors is crucial for effective control of vector-borne diseases. In the Northeastern Brazilian semi-arid region, Triatoma brasiliensis persists as the most significant Chagas disease vector, frequently displaying recurrent domiciliary infestations. This situation raises relevant public health concerns in the municipality of Currais Novos in the state of Rio Grande do Norte. This area has experienced a high prevalence of peridomiciliary re-infestations by T. brasiliensis, coupled with elevated rates of Trypanosoma cruzi infection. Therefore, we assessed the distribution of genetic variation via mitochondrial Cytochrome b gene (MT-CYB) sequencing (n = 109) and single nucleotide polymorphisms (SNPs, n = 86) to assess the gene flow among distinct populations distributed in varied geographic spots and environments, mainly sylvatic and peridomiciliary. Insects were collected from rural communities at Currais Novos, enclosed within a 16 km radius. Sampling included 13 populations: one intradomiciliary, eight peridomiciliary, and four sylvatic. Furthermore, an external population located 220 km from Currais Novos was also included in the study. The method employed to obtain SNP information relied on ddRAD-seq genotyping-by-sequencing (GBS), enabling a genome-wide analysis to infer genetic variation. Through AMOVA analysis of MT-CYB gene variation, we identified four distinct population groups with statistical significance (F= 0.42; p<0.05). We identified a total of 3,013 SNPs through GBS, with 11 loci showing putative signs of being under selection. The variation based on 3,002 neutral loci evidenced low genetic structuration based on low F values (p>0.05), indicating local panmixia. However, resampling algorithms pointed out that three samples from the external population were assigned (>98 %) in a cluster contrasting from the ones putatively under local panmixia - validating the newly applied genome-wide marker for studies on the population genetics at finer-scale resolution for T. brasiliensis. The presence of population structuring in some of the sampled points, as suggested by the mitochondrial marker, leads us to assume that infestations were probably initiated by small populations of females - demographic event poses a risk for rapid re-infestations. The local panmictic pattern revealed by the GBS marker poses a challenge for vector control measures, as re-infestation foci may be distributed over a wide geographical and ecological range. In such instances, vectors exhibit reduced susceptibility to conventional insecticide spraying operations since sylvatic populations are beyond the reach of these interventions. The pattern of infestation exhibited by T. brasiliensis necessitates integrating innovative strategies into the existing control framework, holding the potential to create a more resilient and adaptive vector control program. In our dataset, the results demonstrated that the genetic signals from both markers were complementary. Therefore, it is essential to consider the nature and inheritance pattern of each marker when inferring the pattern of re-infestations.
了解病媒的种群动态对于有效控制病媒传播疾病至关重要。在巴西东北部半干旱地区,巴西锥蝽仍然是最重要的恰加斯病病媒,经常出现反复的家庭内感染。这种情况在北里奥格兰德州库里亚斯诺沃斯市引起了相关的公共卫生关注。该地区曾经历过高频率的家庭周围再次感染巴西锥蝽的情况,同时还伴随着较高的克氏锥虫感染率。因此,我们评估了通过线粒体细胞色素 b 基因(MT-CYB)测序(n=109)和单核苷酸多态性(SNPs,n=86)的遗传变异分布,以评估分布在不同地理区域和环境中的不同种群之间的基因流,主要是森林和家庭周围。昆虫从库里亚斯诺沃斯的农村社区收集,范围在 16 公里半径内。采样包括 13 个种群:一个家庭内、八个家庭周围和四个森林。此外,还包括距离库里亚斯诺沃斯 220 公里的一个外部种群。获得 SNP 信息的方法依赖于 ddRAD-seq 基因分型测序(GBS),能够进行全基因组分析以推断遗传变异。通过 MT-CYB 基因变异的 AMOVA 分析,我们确定了四个具有统计学意义的不同种群群体(F=0.42;p<0.05)。通过 GBS 共鉴定出 3013 个 SNP,其中 11 个位点显示出可能受到选择的迹象。基于 3002 个中性基因座的变异证据表明,基于低 F 值(p>0.05)的遗传结构分化程度较低,表明存在局部混合交配。然而,重采样算法指出,外部种群的三个样本(>98%)被分配到一个与局部混合交配的集群中,这验证了新应用的基因组标记在更精细尺度上研究巴西锥蝽种群遗传学的有效性。线粒体标记表明,在一些采样点存在种群结构,这表明感染可能是由小种群的雌性引起的——这种人口事件会带来快速再感染的风险。GBS 标记揭示的局部混合交配模式对病媒控制措施构成了挑战,因为再感染焦点可能分布在广泛的地理和生态范围内。在这种情况下,由于森林种群超出了这些干预措施的范围,因此病媒对常规杀虫剂喷洒作业的敏感性降低。巴西锥蝽的感染模式需要将创新策略整合到现有的控制框架中,这有可能创建一个更有弹性和适应性的病媒控制计划。在我们的数据集,结果表明两种标记的遗传信号是互补的。因此,在推断再感染模式时,必须考虑每个标记的性质和遗传模式。