Department of International Health, Program in Global Disease Epidemiology and Control, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Room E5535, Baltimore, MD, 21205-2103, USA.
International Centre for Diarrhoeal Disease Research, Shaheed Tajuddin Ahmed Ave, Dhaka, 1213, Bangladesh.
BMC Genomics. 2017 Nov 25;18(1):903. doi: 10.1186/s12864-017-4254-9.
Household contacts of cholera patients have a 100 times higher risk of developing a cholera infection than the general population. To compare the genetic relatedness of clinical and water source Vibrio cholerae isolates from cholera patients' households across three outbreaks, we analyzed these isolates using whole-genome-sequencing (WGS) and multilocus variable-number tandem-repeat analysis (MLVA).
The WGS analyses revealed that 80% of households had source water isolates that were more closely related to clinical isolates from the same household than to any other isolates. While in another 20% of households an isolate from a person was more closely related to clinical isolates from another household than to source water isolates from their own household. The mean pairwise differences in single nucleotide-variant (SNV) counts for isolates from the same household were significantly lower than those for different households (2.4 vs. 7.7 p < 0.0001), and isolates from the same outbreak had significantly fewer mean pairwise differences compared to isolates from different outbreaks (mean: 6.2 vs. 8.0, p < 0.0001). Based on MLVA in outbreak 1, we observed that the majority of households had clinical isolates with MLVA genotypes related to other clinical isolates and unrelated to water source isolates from the same household. While in outbreak 3, there were different MLVA genotypes between households, however within the majority of households, the clinical and water source isolates had the same MLVA genotypes. The beginning of outbreak 2 resembled outbreak 1 and the latter part resembled outbreak 3. We validated our use of MLVA by comparing it to WGS. Isolates with the identical MLVA genotype had significantly fewer mean pairwise SNV differences than those isolates with different MLVA genotypes (mean: 4.8 vs. 7.7, p < 0.0001). Furthermore, consistent with WGS results, the number of pairwise differences in the five MLVA loci for isolates within the same household was significantly lower than isolates from different households (mean: 1.6 vs. 3.0, p < 0.0001).
These results suggest that transmission patterns for cholera are a combination of person-to-person and water-to-person cholera transmission with the proportions of the two modes varying within and between outbreaks.
霍乱患者的家庭接触者感染霍乱的风险比一般人群高 100 倍。为了比较三次暴发中来自霍乱患者家庭的临床和水源霍乱弧菌分离株的遗传相关性,我们使用全基因组测序(WGS)和多位点可变数串联重复分析(MLVA)对这些分离株进行了分析。
WGS 分析表明,80%的家庭的水源分离株与同一家庭的临床分离株的亲缘关系比与其他任何分离株都更密切。而在另外 20%的家庭中,一个人的分离株与另一个家庭的临床分离株的亲缘关系比与自家水源分离株的亲缘关系更密切。同一家庭分离株之间的单核苷酸变异(SNV)计数的平均成对差异明显低于不同家庭之间的差异(2.4 与 7.7,p<0.0001),同一暴发的分离株之间的平均成对差异明显少于不同暴发的分离株(平均:6.2 与 8.0,p<0.0001)。基于暴发 1 的 MLVA,我们观察到大多数家庭的临床分离株与其他临床分离株的 MLVA 基因型有关,而与同一家庭的水源分离株无关。而在暴发 3 中,家庭之间存在不同的 MLVA 基因型,但在大多数家庭中,临床和水源分离株具有相同的 MLVA 基因型。暴发 2 的开始阶段类似于暴发 1,而后期阶段类似于暴发 3。我们通过将其与 WGS 进行比较来验证我们使用 MLVA 的方法。具有相同 MLVA 基因型的分离株的平均成对 SNV 差异明显小于具有不同 MLVA 基因型的分离株(平均:4.8 与 7.7,p<0.0001)。此外,与 WGS 结果一致,同一家庭内的分离株在五个 MLVA 基因座的成对差异数明显低于不同家庭的分离株(平均:1.6 与 3.0,p<0.0001)。
这些结果表明,霍乱的传播模式是人与人之间和水与人间霍乱传播的组合,两种模式的比例在暴发内部和之间有所不同。