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首页> 外文期刊>Scientific reports. >Positive selection and climatic effects on MHC class II gene diversity in hares ( Lepus capensis ) from a steep ecological gradient
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Positive selection and climatic effects on MHC class II gene diversity in hares ( Lepus capensis ) from a steep ecological gradient

机译:从陡峭生态梯度对野兔(Lepus capensis)MHC II类基因多样性的正选择及其气候影响。

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In natural populations, allelic diversity of the major histocompatibility complex (MHC) is commonly interpreted as resulting from positive selection in varying spatiotemporal pathogenic landscapes. Composite pathogenic landscape data are, however, rarely available. We studied the spatial distribution of allelic diversity at two MHC class II loci (DQA, DQB) in hares, Lepus capensis, along a steep ecological gradient in North Africa and tested the role of climatic parameters for the spatial distribution of DQA and DQB proteins. Climatic parameters were considered to reflect to some extent pathogenic landscape variation. We investigated historical and contemporary forces that have shaped the variability at both genes, and tested for differential selective pressure across the ecological gradient by comparing allelic variation at MHC and neutral loci. We found positive selection on both MHC loci and significantly decreasing diversity from North to South Tunisia. Our multinomial linear models revealed significant effects of geographical positions that were correlated with?mean annual temperature and precipitation on the occurrence of protein variants, but no effects of co-occurring DQA or DQB proteins, respectively. Diversifying selection, recombination, adaptation to local pathogenic landscapes (supposedly reflected by climate parameters) and neutral demographic processes have shaped the observed MHC diversity and differentiation patterns.
机译:在自然种群中,主要组织相容性复合体(MHC)的等位基因多样性通常被解释为在不同的时空致病环境中进行阳性选择。然而,很少有综合病原体景观数据。我们研究了北非一个陡峭的生态梯度上的野兔(Lepus capensis)的两个MHC II类位点(DQA,DQB)等位基因多样性的空间分布,并测试了气候参数对DQA和DQB蛋白空间分布的作用。气候参数被认为在一定程度上反映了病原景观的变化。我们调查了影响这两个基因变异性的历史和当代力量,并通过比较MHC和中性基因座的等位基因变异,测试了整个生态梯度的选择性选择性压力。我们发现在MHC基因座上都有阳性选择,并且从北突尼斯到南突尼斯都大大降低了多样性。我们的多项式线性模型揭示了与平均年温度和降水量相关的地理位置对蛋白质变异发生的显着影响,但同时存在的DQA或DQB蛋白没有影响。多样化的选择,重组,对当地病原体景观的适应(可能由气候参数反映)和中立的人口统计过程已经塑造了观测到的MHC多样性和分化模式。

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