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以及主要克隆进化模型。

and the Model of Predominant Clonal Evolution.

作者信息

Tibayrenc Michel, Ayala Francisco J

机构信息

Maladies Infectieuses et Vecteurs Ecologie, Génétique, Evolution et Contrôle, MIVEGEC (IRD 224-CNRS 5290-UM1-UM2), Institut de Recherche Pour le Développement, CEDEX 5, 34394 Montpellier, France.

Catedra Francisco Jose Ayala of Science, Technology, and Religion, University of Comillas, 28015 Madrid, Spain.

出版信息

Microorganisms. 2021 Nov 22;9(11):2409. doi: 10.3390/microorganisms9112409.

DOI:10.3390/microorganisms9112409
PMID:34835534
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8620605/
Abstract

As it is the case for other pathogenic microorganisms, the respective impact of clonality and genetic exchange on natural populations has been the object of lively debates since the early 1980s. The predominant clonal evolution (PCE) model states that genetic exchange in these parasites' natural populations may have a high relevance on an evolutionary scale, but is not sufficient to erase a persistent phylogenetic signal and the existence of bifurcating trees. Recent data based on high-resolution markers and genomic polymorphisms fully confirm the PCE model down to a microevolutionary level.

摘要

与其他致病微生物的情况一样,自20世纪80年代初以来,克隆性和基因交换对自然种群的各自影响一直是激烈辩论的主题。主要克隆进化(PCE)模型指出,这些寄生虫自然种群中的基因交换在进化尺度上可能具有高度相关性,但不足以消除持续的系统发育信号和分支树的存在。基于高分辨率标记和基因组多态性的最新数据充分证实了PCE模型在微观进化水平上的情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3269/8620605/9fc2f223f4d2/microorganisms-09-02409-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3269/8620605/88c7b679144b/microorganisms-09-02409-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3269/8620605/17ec72798600/microorganisms-09-02409-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3269/8620605/9fc2f223f4d2/microorganisms-09-02409-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3269/8620605/88c7b679144b/microorganisms-09-02409-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3269/8620605/17ec72798600/microorganisms-09-02409-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3269/8620605/9fc2f223f4d2/microorganisms-09-02409-g003.jpg

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Microsatellite based molecular epidemiology of Leishmania infantum from re-emerging foci of visceral leishmaniasis in Armenia and pilot risk assessment by ecological niche modeling.基于微卫星的来自亚美尼亚内脏利什曼病重新出现病灶的婴儿利什曼原虫分子流行病学及通过生态位建模进行的试点风险评估。
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