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杨树在基因型和环境下的综合宏基因组学、代谢组学和转录组学研究。

An integrated metagenomic, metabolomic and transcriptomic survey of Populus across genotypes and environments.

机构信息

Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.

Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.

出版信息

Sci Data. 2024 Apr 5;11(1):339. doi: 10.1038/s41597-024-03069-7.

Abstract

Bridging molecular information to ecosystem-level processes would provide the capacity to understand system vulnerability and, potentially, a means for assessing ecosystem health. Here, we present an integrated dataset containing environmental and metagenomic information from plant-associated microbial communities, plant transcriptomics, plant and soil metabolomics, and soil chemistry and activity characterization measurements derived from the model tree species Populus trichocarpa. Soil, rhizosphere, root endosphere, and leaf samples were collected from 27 different P. trichocarpa genotypes grown in two different environments leading to an integrated dataset of 318 metagenomes, 98 plant transcriptomes, and 314 metabolomic profiles that are supported by diverse soil measurements. This expansive dataset will provide insights into causal linkages that relate genomic features and molecular level events to system-level properties and their environmental influences.

摘要

将分子信息与生态系统水平的过程联系起来,将使我们有能力理解系统的脆弱性,并有可能评估生态系统的健康状况。在这里,我们呈现了一个综合数据集,其中包含了与植物相关的微生物群落、植物转录组学、植物和土壤代谢组学以及土壤化学和活性特征测量的环境和宏基因组信息,这些信息来自模式树种杨属。我们从生长在两种不同环境中的 27 种不同的杨属树种中收集了土壤、根际、根内圈和叶片样本,从而得到了一个综合数据集,其中包括 318 个宏基因组、98 个植物转录组和 314 个代谢组学图谱,这些数据得到了多种土壤测量的支持。这个广阔的数据集将为我们提供深入的见解,使我们能够了解将基因组特征和分子水平事件与系统水平属性及其环境影响联系起来的因果关系。

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