Department of Infectious Diseases and Microbiology, Royal Prince Alfred Hospital, Sydney, NSW, Australia.
Central Clinical School, University of Sydney, Sydney, NSW, Australia.
Lancet Microbe. 2022 Feb;3(2):e133-e141. doi: 10.1016/S2666-5247(21)00236-6.
The genomic relationships among isolates are the subject of ongoing research that seeks to clarify the origins of observed lineages and the extent of horizontal gene transfer between them, and to robustly identify links between genotypes and phenotypes. is considered to form distinct groups-A and B-corresponding to isolates derived from patients who were hospitalised (A) and isolates from humans in the community (B). The additional separation of A into the so-called clades A1 and A2 remains an area of uncertainty. We aimed to investigate the relationships between A1 and non-A1 groups and explore the potential role of non-A1 isolates in shaping the population structure of hospital .
We collected short-read sequence data from invited groups that had previously published genome data. This hospital-based isolate collection could be separated into three groups (or clades, A1, A2, and B) by augmenting the study genomes with published sequences derived from human samples representing the previously defined genomic clusters. We performed phylogenetic analyses, by constructing maximum-likelihood phylogenetic trees, and identified historical recombination events. We assessed the pan-genome, did resistome analysis, and examined the genomic data to identify mobile genetic elements. Each genome underwent chromosome painting by use of ChromoPainter within FineSTRUCTURE software to assess ancestry and identify hybrid groups. We further assessed highly admixed regions to infer recombination directionality.
We assembled a collection of 1095 hospital sequences from 34 countries, further augmented by 33 published sequences. 997 (88%) of 1128 genomes clustered as A1, 92 (8%) as A2, and 39 (4%) as B. We showed that A1 probably emerged as a clone from within A2 and that, because of ongoing gene flow, hospital isolates currently identified as A2 represent a genetic continuum between A1 and community . This interchange of genetic material between isolates from different groups results in the emergence of hybrid genomes between clusters. Of the 1128 genomes, 49 (4%) hybrid genomes were identified: 33 previously labelled as A2 and 16 previously labelled as A1. These interactions were fuelled by a directional pattern of recombination mediated by mobile genetic elements. By contrast, the contribution of B group genetic material to A1 was limited to a few small regions of the genome and appeared to be driven by genomic sweep events.
A2 and B isolates coming into the hospital form an important reservoir for ongoing A1 adaptation, suggesting that effective long-term control of the effect of could benefit from strategies to reduce these genomic interactions, such as a focus on reducing the acquisition of hospital A1 strains by patients entering the hospital.
Wellcome Trust.
目前正在对 株的基因组关系进行研究,旨在阐明观察到的谱系的起源以及它们之间水平基因转移的程度,并有力地识别基因型与表型之间的联系。 被分为 A 组和 B 组,分别对应于住院患者(A 组)和社区人群(B 组)来源的分离株。A 组进一步分为所谓的 A1 和 A2 分支,这仍然是一个不确定的领域。我们旨在研究 A1 和非 A1 组之间的关系,并探索非 A1 分离株在塑造医院 种群结构方面的潜在作用。
我们从之前发表过 基因组数据的受邀小组中收集了短读序列数据。通过用先前定义的基因组簇中来自人类样本的已发表序列扩充研究基因组,该医院分离株可以分为三组(或称为 clades,A1、A2 和 B)。我们通过构建最大似然系统发育树进行了系统发育分析,并鉴定了历史重组事件。我们评估了泛基因组、进行了耐药组分析,并检查了基因组数据以鉴定移动遗传元件。使用 FineSTRUCTURE 软件中的 ChromoPainter 对每个基因组进行染色体作图,以评估祖先并识别杂种群体。我们进一步评估了高度混合区域,以推断重组方向。
我们从 34 个国家组装了一个包含 1095 个医院 序列的集合,进一步增加了 33 个已发表的序列。在 1128 个基因组中,997 个(88%)聚类为 A1,92 个(8%)聚类为 A2,39 个(4%)聚类为 B。我们表明,A1 可能是从 A2 中作为一个克隆出现的,由于持续的基因流,目前被鉴定为 A2 的医院分离株代表了 A1 和社区 之间的遗传连续体。不同组之间的分离株之间遗传物质的交换导致了簇之间杂种基因组的出现。在 1128 个基因组中,发现了 49 个(4%)杂种基因组:33 个先前标记为 A2,16 个先前标记为 A1。这些相互作用是由移动遗传元件介导的定向重组所驱动的。相比之下,B 组遗传物质对 A1 的贡献仅限于基因组的少数小区域,并且似乎是由基因组清扫事件驱动的。
进入医院的 A2 和 B 组分离株构成了 A1 持续适应的重要蓄水池,这表明有效控制 的长期影响可能受益于减少这些基因组相互作用的策略,例如关注减少进入医院的患者获得医院 A1 菌株。
惠康信托基金会。