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北爱尔兰(1997-2012 年)布氏流产菌爆发的基因组动物流行病学研究。

Genomic epizootiology of a Brucella abortus outbreak in Northern Ireland (1997-2012).

机构信息

Agri Food and Biosciences Institute (AFBI), AFBI Stormont, Bacteriology Branch, Stoney Road, Belfast, United Kingdom..

Agri Food and Biosciences Institute (AFBI), AFBI Stormont, Bacteriology Branch, Stoney Road, Belfast, United Kingdom.

出版信息

Infect Genet Evol. 2020 Jul;81:104235. doi: 10.1016/j.meegid.2020.104235. Epub 2020 Feb 5.

Abstract

BACKGROUND

In the recent past (1997-2012), Northern Ireland in the United Kingdom suffered an outbreak of Brucella abortus, which at its height affected over 200 cattle herds. Initially, isolates were characterized using multi-locus variable number tandem repeats analysis (MLVA). While informative in this setting, hyper-variability in some loci limited the resolution necessary to infer fine-scale disease transmission networks. Consequently, we applied whole-genome sequencing to isolates from this outbreak to evaluate higher resolution markers for disease epizootiology.

RESULTS

Phylogenetic analysis revealed that the B. abortus outbreak in Northern Ireland was caused by two distinct pathogen lineages. One contained isolates consistent with the 1997-2012 outbreak being linked to a previous endemic infection thought eradicated. The dominant second lineage exhibited little genetic diversity throughout the recrudescent outbreak, with limited population sub-structure evident. This finding was inconsistent with prior MLVA molecular characterizations that suggested the presence of seven clonal complexes. Spatio-temporal modeling revealed a significant association of pairwise SNP differences between isolates and geographic distances. However, effect sizes were very small due to reduced pathogen diversity.

CONCLUSIONS

Genome sequence data suggested that hyper-variability in some MLVA loci contributed to an overestimate of pathogen diversity in the most recent outbreak. The low diversity observed in our genomic dataset made it inappropriate to apply phylodynamic methods to these data. We conclude that maintaining data repositories of genome sequence data will be invaluable for source attribution/epizootiological inference should recrudescence ever re-occur. However genomic epizootiological methods may have limited utility in some settings, such as when applied to recrudescent/re-emergent infections of slowly-evolving bacterial pathogens.

摘要

背景

在最近的过去(1997-2012 年),英国北爱尔兰爆发了布鲁氏菌流产病,当时受影响的牛群超过 200 个。最初,使用多位点可变数串联重复分析(MLVA)对分离株进行了特征描述。虽然在这种情况下很有信息量,但一些基因座的高变异性限制了推断精细疾病传播网络所需的分辨率。因此,我们将全基因组测序应用于该暴发中的分离株,以评估疾病流行性病学的更高分辨率标记物。

结果

系统发育分析表明,北爱尔兰的布鲁氏菌流产病暴发是由两个截然不同的病原体谱系引起的。一个谱系包含与 1997-2012 年暴发相关的分离株,这些分离株与先前认为已根除的地方性感染有关。占主导地位的第二个谱系在整个复发性暴发中表现出很少的遗传多样性,几乎没有明显的种群亚结构。这一发现与先前的 MLVA 分子特征不一致,后者表明存在七个克隆复合体。时空建模显示,分离株之间和地理距离之间的 SNP 差异的成对显着相关。然而,由于病原体多样性降低,效应大小非常小。

结论

基因组序列数据表明,MLVA 某些基因座的高变异性导致对最近暴发中病原体多样性的高估。我们的基因组数据集观察到的低多样性使得应用系统发育动力学方法对这些数据不合适。我们的结论是,维护基因组序列数据存储库对于源归因/流行性病学推断将是无价的,如果再次出现复发。然而,基因组流行性病学方法在某些情况下可能具有有限的实用性,例如应用于缓慢进化的细菌病原体的复发性/再发性感染。

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