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Untargeted metabolic profiling reveals geography as the strongest predictor of metabolic phenotypes of a cosmopolitan weed

机译:未定目标的代谢谱揭示了地理学是世界性杂草代谢表型的最强预测因子

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摘要

Plants produce a multitude of metabolites that contribute to their fitness and survival and play a role in local adaptation to environmental conditions. The effects of environmental variation are particularly well studied within the genus Plantago; however, previous studies have largely focused on targeting specific metabolites. Studies exploring metabolome‐wide changes are lacking, and the effects of natural environmental variation and herbivory on the metabolomes of plants growing in situ remain unknown. An untargeted metabolomic approach using ultra‐high‐performance liquid chromatography–mass spectrometry, coupled with variation partitioning, general linear mixed modeling, and network analysis was used to detect differences in metabolic phenotypes of Plantago major in fifteen natural populations across Denmark. Geographic region, distance, habitat type, phenological stage, soil parameters, light levels, and leaf area were investigated for their relative contributions to explaining differences in foliar metabolomes. Herbivory effects were further investigated by comparing metabolomes from damaged and undamaged leaves from each plant. Geographic region explained the greatest number of significant metabolic differences. Soil pH had the second largest effect, followed by habitat and leaf area, while phenological stage had no effect. No evidence of the induction of metabolic features was found between leaves damaged by herbivores compared to undamaged leaves on the same plant. Differences in metabolic phenotypes explained by geographic factors are attributed to genotypic variation and/or unmeasured environmental factors that differ at the regional level in Denmark. A small number of specialized features in the metabolome may be involved in facilitating the success of a widespread species such as Plantago major into such wide range of environmental conditions, although overall resilience in the metabolome was found in response to environmental parameters tested. Untargeted metabolomic approaches have great potential to improve our understanding of how specialized plant metabolites respond to environmental change and assist in adaptation to local conditions.
机译:植物产生多种代谢产物,有助于它们的适应性和存活,并在局部适应环境条件中发挥作用。在车前草属中,特别研究了环境变化的影响。但是,以前的研究主要集中在针对特定的代谢物。缺乏探索代谢组范围变化的研究,自然环境变化和食草性对原位生长植物代谢组的影响仍然未知。采用超高效液相色谱-质谱联用的非目标代谢组学方法,结合变异划分,一般线性混合建模和网络分析,可检测丹麦15个自然种群中车前草的代谢表型差异。研究了地理区域,距离,栖息地类型,物候阶段,土壤参数,光照水平和叶面积对解释叶代谢组差异的相对贡献。通过比较每种植物受损和未受损叶片的代谢组,进一步研究了食草作用。地理区域解释了最大数量的显着代谢差异。土壤pH值影响第二大,其次是生境和叶面积,而物候期则没有影响。与相同植物上未损坏的叶子相比,在被食草动物损坏的叶子之间未发现诱导代谢特征的证据。地理因素解释的代谢表型差异归因于基因型变异和/或未测环境因素,这些因素在丹麦的区域水平上有所不同。代谢组中的少数特殊功能可能有助于促进广泛的物种(如大车前草)成功进入如此广泛的环境条件,尽管发现代谢组的总体适应性是对所测试的环境参数的响应。非靶向代谢组学方法具有极大的潜力,可以增进我们对特殊植物代谢产物如何响应环境变化并帮助适应当地条件的理解。

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