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Discrepancies between prokaryotes and eukaryotes need to be considered in soil DNA‐based studies

机译:在基于土壤DNA的研究中,需要考虑原核生物和真核生物之间的差异

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Summary Metabarcoding approaches are exponentially increasing our understanding of soil biodiversity, with a major focus on the bacterial part of the microbiome. Part of the soil diversity are also eukaryotes that include fungi, algae, protists and Metazoa. Nowadays, soil eukaryotes are targeted with the same approaches developed for bacteria and archaea (prokaryotes). However, fundamental differences exist between domains. After providing a short historical overview of the developments of metabarcoding applied to environmental microbiology, we compile the most important differences between domains that prevent direct method transfers between prokaryotic and eukaryotic soil metabarcoding approaches, currently dominated by short‐read sequencing. These include the existence of divergent diversity concepts and the variations in eukaryotic morphology that affect sampling and DNA extraction. Furthermore, eukaryotes experienced much more variable evolutionary rates than prokaryotes, which prevent capturing the entire eukaryotic diversity in a soil with a single amplification protocol fit for short‐read sequencing. In the final part we focus on future potentials for optimization of eukaryotic metabarcoding that include superior possibility of functionally characterizing eukaryotes and to extend the current information obtained, such as by adding a real quantitative component. This review should optimize future metabarcoding approaches targeting soil eukaryotes and kickstart this promising research direction.
机译:概括: 元条形码方法正在成倍地增加我们对土壤生物多样性的理解,主要关注微生物组的细菌部分。土壤多样性的一部分也是真核生物,包括真菌、藻类、原生生物和后生动物。如今,土壤真核生物采用与细菌和古细菌(原核生物)相同的方法进行靶向。但是,域之间存在根本差异。在简要概述了应用于环境微生物学的宏条形码的发展之后,我们汇编了阻止原核和真核土壤宏条形码方法之间直接方法转移的域之间最重要的差异,目前以短读长测序为主。这些因素包括存在不同的多样性概念以及影响采样和DNA提取的真核生物形态的变化。此外,真核生物比原核生物经历了更多的可变进化速率,这阻碍了使用适合短读长测序的单一扩增方案捕获土壤中的整个真核生物多样性。在最后一部分中,我们重点关注优化真核生物宏条形码的未来潜力,其中包括对真核生物进行功能表征的优越可能性,并扩展当前获得的信息,例如通过添加真正的定量成分。本综述将优化未来针对土壤真核生物的宏条形码方法,并启动这一有前途的研究方向。

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