Metabolomics dataset for disentangling plant and environment-mediated drivers of active rhizosphere 1 bacterial community dynamics during short-term drought

Background: Mitigating the effects of climate stress on crops is important for global food security. The microbiome associated with plant roots, henceforth, the rhizobiome, can harbor beneficial microbes that alleviate stress impacts. However, the factors influencing the recruitment of the rhizobiome during stress are unclear. We conducted an experiment to understand bacterial rhizobiome responses to short-term drought for two crop species: switchgrass and common bean. We used 16S rRNA and 16S rRNA gene sequencing to investigate the impact of drought severity on the recruitment of active bacterial rhizobiome members. We included planted and unplanted conditions to distinguish the environment- versus plant mediated drivers of the active rhizobiome.
Results: Though each crop had a distinct rhizobiome, there were differences in the active microbiome structure between drought and watered and between planted and unplanted treatments. Despite their different community structures, the drought ..., , , ## General information

1. Title for the dataset: Disentangling plant- and environment-mediated drivers of active rhizosphere 1 bacterial community dynamics during short-term drought

2. Name/institution/address/email information for
Person responsible for collecting the data:Xingxing Li/Great Lakes Bioenergy Research Center at the Michigan State University/[e-mail]
Contact person for questions:same as above

3. Date of data collection: 9/11/2020

4. Information about geographic location of data collection:
Liquid Chromatography Mass Spectrometry (LC-MS) data: Mass Spectrometry and Metabolomics Core at the Michigan State University

5. Keywords used to describe the data topic: Mass spectrometry, LC-MS, untargeted metabolomics, switchgrass, drought, saponins, terpenoids, specialized metabolites, rhizosphere soil

6. Language information: English

7. Information about funding sources that supported the collection of the data:
This work was supported by the G...

研究背景：缓解气候胁迫对作物的不利影响对全球粮食安全至关重要。与植物根系相关的微生物组（下文统称根际微生物组，rhizobiome）可定植有益微生物以减轻胁迫带来的负面影响，但目前尚不明确胁迫过程中影响根际微生物组招募的关键因素。本研究开展了一项实验，以解析两种作物（柳枝稷和普通菜豆）的细菌根际微生物组对短期干旱的响应机制。我们采用16S rRNA及16S rRNA基因测序技术，探究干旱胁迫程度对活性细菌根际微生物组成员招募的影响。同时设置种植与未种植两组对照处理，以区分活性根际微生物组的环境介导与植物介导驱动因子。
研究结果：尽管两种作物各自拥有独特的根际微生物组，但干旱处理与正常浇水处理之间、种植与未种植处理之间的活性微生物组结构均存在显著差异。尽管二者群落结构存在差异，但干旱……，，，
## 数据集通用信息
1. 数据集标题：《解析短期干旱过程中植物与环境介导的根际活性细菌群落动态驱动因子》
2. 数据收集相关联络信息：
数据收集负责人：李星星/密歇根州立大学五大湖生物能源研究中心/[e-mail]
疑问联络人：同上
3. 数据采集日期：2020年9月11日
4. 数据采集相关信息：液相色谱-质谱联用（Liquid Chromatography Mass Spectrometry, LC-MS）数据采集于密歇根州立大学质谱与代谢组学核心实验室
5. 数据主题关键词：质谱法、液相色谱-质谱联用、非靶向代谢组学、柳枝稷、干旱胁迫、皂苷、萜类化合物、特化代谢物、根际土壤
6. 语言信息：英语
7. 资助方信息：本研究得到G……资助