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PMID: 27847329 已发表 · aheadofprint 英语

The genetic profile of susceptibility to infectious diseases in Roman-Period populations from Central Poland.

Lewandowska Magda, Jędrychowska-Dańska Krystyna, Zamerska Alicja, Płoszaj Tomasz, Witas Henryk W

摘要

For thousands of years human beings have resisted life-threatening pathogens. This ongoing battle is considered to be the major force shaping our gene pool as every micro-evolutionary process provokes specific shifts in the genome, both that of the host and the pathogen. Past populations were more susceptible to changes in allele frequencies not only due to selection pressure, but also as a result of genetic drift, migration and inbreeding. In the present study we have investigated the frequency of five polymorphisms within innate immune-response genes (SLC11A1 D543N, MBL2 G161A, P2RX7 A1513C, IL10 A-1082G, TLR2 -196 to -174 ins/del) related to susceptibility to infections in humans. The DNA of individuals from two early Roman-Period populations of Linowo and Rogowo was analysed. The distribution of three mutations varied significantly when compared to the modern Polish population. The TAFT analysis suggests that the decreased frequency of SLC11A1 D543N in modern Poles as compared to 2nd century Linowo samples is the result of non-stochastic mechanisms, such as purifying or balancing selection. The disparity in frequency of other mutations is most likely the result of genetic drift, an evolutionary force which is remarkably amplified in low-size groups. Together with the F analysis, mtDNA haplotypes' distribution and deviation from the Hardy-Weinberg equilibrium, we suggest that the two populations were not interbreeding (despite the close proximity between them), but rather inbreeding, the results of which are particularly pronounced among Rogowo habitants.

关键词
Ancient DNA Genetic drift Innate immune response Natural selection
文献信息
期刊
Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases
期刊简称
Infect Genet Evol
发表日期
0000-00-00
收录日期
2016-11-16
更新日期
2016-12-12
语言
英语
国家/地区
Netherlands
NLM ID
101084138
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