Plant Phenotypic Traits Eventually Shape Its Microbiota: A Common Garden Test.

Plant Phenotypic Traits Eventually Shape Its Microbiota: A Common Garden Test.
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植物表型特征最终塑造其微生物群:一项常见的花园测试

DOI:
10.3389/fmicb.2018.02479
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发表时间:
2018
影响因子:
5.2
通讯作者:
Zhang G
Zhang G
中科院分区:
生物学2区
文献类型:
--
作者:
Li Y;Wu X;Chen T;Wang W;Liu G;Zhang W;Li S;Wang M;Zhao C;Zhou H;Zhang G

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植物基因型驱动植物表型的发育和植物微生物群的组装。植物表型特征对其微生物群的潜在影响尚未得到很好的表征,并且对特定微生物类群和植物表型特征的共现相互关系知之甚少。我们建立了一个共同的花园实验,量化的原核生物和真菌群落在叶际和根际的6云杉(云杉属)。树种,通过Illumina扩增子测序。我们测试了细菌/古菌和真菌群落之间的关系,并为他们的植物宿主的表型特征。叶片长度、叶片含水量、叶片贮水量、单位面积叶片干重、叶片氮含量、叶片磷含量、叶片钾含量、叶片δ 13 C值、气孔导度、净光合速率、胞间CO2浓度和蒸腾速率等表型性状与细菌/古菌和真菌群落的多样性和组成显著相关。植物微生物区系与宿主植物表型特征之间的这些相关性表明,植物基因型通过驱动植物表型的发育来塑造其微生物区系。这将促进我们对植物-微生物关联以及植物和生态系统功能变化驱动因素的理解。
Plant genotype drives the development of plant phenotypes and the assembly of plant microbiota. The potential influence of the plant phenotypic characters on its microbiota is not well characterized and the co-occurrence interrelations for specific microbial taxa and plant phenotypic characters are poorly understood. We established a common garden experiment, which quantifies prokaryotic and fungal communities in the phyllosphere and rhizosphere of six spruce (Picea spp.) tree species, through Illumina amplicon sequencing. We tested for relationships between bacterial/archaeal and fungal communities and for the phenotypic characters of their plant hosts. Host phenotypic characters including leaf length, leaf water content, leaf water storage capacity, leaf dry mass per area, leaf nitrogen content, leaf phosphorous content, leaf potassium content, leaf δ13C values, stomatal conductance, net photosynthetic rate, intercellular carbon dioxide concentration, and transpiration rate were significantly correlated with the diversity and composition of the bacterial/archaeal and fungal communities. These correlations between plant microbiota and suites of host plant phenotypic characters suggest that plant genotype shape its microbiota by driving the development of plant phenotypes. This will advance our understanding of plant-microbe associations and the drivers of variation in plant and ecosystem function.
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