伯氏疏螺旋体基因间进化异质性检测Detecting Evolutionary Inter-Gene Heterogeneity in Borrelia burgdorferi |
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课程网址: | http://videolectures.net/licsb09_loza_reyes_deigh/ |
主讲教师: | Elisa Loza Reyes |
开课单位: | 巴斯大学 |
开课时间: | 2009-04-16 |
课程语种: | 英语 |
中文简介: | 伯氏疏螺旋体(Borrelia burgdorferi)是导致北半球温带地区最常见的媒介传播疾病莱姆(Borme borreliosis)[1]的细菌物种之一。 B. burgdorferi的系统发育分析现在基于几个管家基因的连接,假定这些基因根据一种进化模式进化。这是一个强有力的假设,当不真实时,推论是不同系统发育信号之间的折衷。我们在缺失数据公式下设计了贝叶斯混合模型,以自动恢复DNA比对中每个位点的进化模式。只要大多数站点被分配到同一个进化类,就可以争论一组基因之间的进化一致性。只有在这种情况下,基因的连接才能产生有效的推论。在这项研究中,我们证明了八个管家基因的进化和这些管家基因与编码免疫显性外表面蛋白C的基因之间的进化不一致的一致性。我们的方法是合适的使用大规模基因连接时的进化协议或分歧的指标,不仅在B. burgdorferi中,而且在任何系统发育分析中。[1] Margos,G。等,2008。美国国家科学院院刊,105(25):8730 8735。 |
课程简介: | Borrelia burgdorferi is one of the bacterial species responsible for the most prevalent vector-borne disease in the temperate zone of the northern hemisphere, Lyme borreliosis [1]. Phylogenetic analyses of B. burgdorferi are now based on a concatenation of several housekeeping genes that are assumed to evolve according to one evolutionary pattern. This is a strong assumption and, when untrue, inferences are a compromise between different phylogenetic signals., We have designed a Bayesian mixture model under a missing data formulation to automatically recover the evolutionary pattern of each site in a DNA alignment. Evolutionary consistency among a set of genes can be argued whenever most of the sites are allocated to the same evolutionary class. Only in this case will a concatenation of genes produce valid inferences., In this study we demonstrate consistency in the evolution of eight housekeeping genes and evolutionary inconsistency between these housekeeping genes and the gene encoding the immunodominant outer surface protein C. Our method is a suitable indicator of evolutionary agreement or disagreement when employing large-scale gene concatenations, not only in B. burgdorferi, but for any phylogenetic analysis., [1] Margos, G. et al., 2008. Proceedings of the National Academy of Sciences of the USA, 105(25): 8730 - 8735. |
关 键 词: | 伯氏疏螺旋体媒介传播疾病; 贝叶斯混合模型 |
课程来源: | 视频讲座网 |
最后编审: | 2019-05-14:lxf |
阅读次数: | 77 |