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Landscape-scale variation in an anthropogenic factor shapes immune gene variation within a wild population

机译:人为因素中的景观尺度变化塑造了野生种群内免疫基因的变化

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摘要

Understanding the spatial scale at which selection acts upon adaptive genetic variation in natural populations is fundamental to our understanding of evolutionary ecology, and has important ramifications for conservation. The environmental factors to which individuals of a population are exposed can vary at fine spatial scales, potentially generating localized patterns of adaptation. Here, we compared patterns of neutral and major histocompatibility complex (MHC) variation within an island population of Berthelot's pipit (Anthus berthelotii) to assess whether landscape-level differences in pathogen-mediated selection generate fine-scale spatial structuring in these immune genes. Specifically, we tested for spatial associations between the distribution of avian malaria, and the factors previously shown to influence that distribution, and MHC variation within resident individuals. Although we found no overall genetic structure across the population for either neutral or MHC loci, we did find localized associations between environmental factors and MHC variation. One MHC class I allele (ANBE48) was directly associated with malaria infection risk, while the presence of the ANBE48 and ANBE38 alleles within individuals correlated (positively and negatively, respectively) with distance to the nearest poultry farm, an anthropogenic factor previously shown to be an important determinant of disease distribution in the study population. Our findings highlight the importance of considering small spatial scales when studying the patterns and processes involved in evolution at adaptive loci.
机译:理解选择对自然种群中适应性遗传变异起作用的空间尺度是我们对进化生态学理解的基础,并且对于保护具有重要意义。人口个体所面临的环境因素可以在精细的空间尺度上变化,从而潜在地产生局部适应模式。在这里,我们比较了贝塞洛特(Berthelot)皮特(Anthus berthelotii)岛上种群中性和主要组织相容性复合体(MHC)变异的模式,以评估病原体介导的选择中的景观水平差异是否在这些免疫基因中产生了精细的空间结构。具体来说,我们测试了禽类疟疾的分布与先前显示的影响该分布的因素之间的空间关联性,以及居民个体内的MHC变化。尽管我们没有发现中性或MHC基因座的总体遗传结构,但我们确实发现了环境因素与MHC变异之间的局部关联。一个MHC I类等位基因(ANBE48)与疟疾感染风险直接相关,而个体中ANBE48和ANBE38等位基因的存在与最近家禽场的距离相关(分别为正和负),这是先前证明的人为因素研究人群中疾病分布的重要决定因素。我们的发现凸显了研究适应性基因座进化涉及的模式和过程时,考虑小空间尺度的重要性。

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