Microbial Data Synthesis and Meta-analysis for the Biodiversity Exploratories

生物多样性探索的微生物数据合成和荟萃分析

• 批准号: 252263987
• 负责人: Professor Dr. Michael Bonkowski
• 金额: --
• 依托单位: Leibniz-Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH
• 依托单位国家: 德国
• 项目类别: Infrastructure Priority Programmes
• 财政年份: 2014
• 资助国家: 德国
• 起止时间: 2013-12-31 至 2019-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/252263987?language=en
• 关键词: Microbial; Data; Synthesis; Meta; analysis

In its first funding phase, the microbial synthesis project MicroSYSteM has focused on the theory-based development of new analysis strategies for the synthesis of heterogeneous but complementary data sets from the Exploratories. This has resulted in novel tools for interaction modelling and microbial niche modelling that were applied to real-world data from the Exploratories and yielded a considerable body of results. Future work will advance microbial data synthesis and modeling by analysing microbial niches with respect to spatiotemporal heterogeneity and organic matter quality. The interaction models developed in the first funding phase will be expanded and applied to soil communities of different organismal complexity. The results obtained through microbial niche analysis and interaction modeling using Exploratory data will subsequently be fed into the existing tools of Turing´s theory, dynamical structure equation modelling, and Price equation in order to address ecologically relevant questions such as spatiotemporal dynamics at the microscale level or the dynamics of changes in community structure, like the resilience to environmental perturbations caused by changes in land use intensities. Finally, the results obtained from the proposed belowground analysis and modelling synthesis will feed into a large-scale synthesis with data from aboveground communities of the Exploratories.

在其第一个资助阶段，微生物合成项目MicroSYSteM侧重于基于理论的新分析策略的发展，用于合成来自探索的异质但互补的数据集。这产生了用于相互作用建模和微生物生态位建模的新工具，这些工具被应用于来自Exploratories的真实世界数据，并产生了相当多的结果。未来的工作将通过分析微生物生态位的时空异质性和有机质质量来推进微生物数据的合成和建模。在第一个资助阶段开发的相互作用模型将被扩展并应用于不同生物复杂性的土壤群落。利用探索性数据进行微生物生态位分析和相互作用建模获得的结果将随后被输入到图灵理论、动态结构方程建模和Price方程的现有工具中，以解决生态学相关的问题，如微观尺度上的时空动态或群落结构变化的动态，如对土地利用强度变化引起的环境扰动的恢复力。最后，从提议的地下分析和建模综合中获得的结果将与来自Exploratories的地上社区的数据进行大规模综合。

项目成果

Can multi‐taxa diversity in European beech forest landscapes be increased by combining different management systems?

通过结合不同的管理系统可以增加欧洲山毛榉森林景观的多类群多样性吗？

• DOI: 10.1111/1365-2664.13635
• 发表时间: 2020
• 期刊: Journal of Applied Ecology
• 影响因子: 5.7
• 作者: Schall P;Heinrichs S;Ammer C;Ayasse M;Boch S;Buscot F;Fischer M;Goldmann K;Overmann J;Schulze E-D;Sikorski J;Weisser W;Wubet T;Gossner MM
• 通讯作者: Gossner MM

Estimates of Soil Bacterial Ribosome Content and Diversity Are Significantly Affected by the Nucleic Acid Extraction Method Employed

• DOI: 10.1128/aem.00019-16
• 发表时间: 2016-02
• 期刊: Applied and Environmental Microbiology
• 影响因子: 4.4
• 作者: Pia K. Wüst;Heiko Nacke;K. Kaiser;S. Marhan;J. Sikorski;E. Kandeler;R. Daniel;J. Overmann

The mineralosphere—interactive zone of microbial colonization and carbon use in grassland soils

草原土壤中微生物定植与碳利用的矿物圈相互作用区

• DOI: 10.1007/s00374-021-01551-7
• 发表时间: 2021
• 期刊: Biology and Fertility of Soils
• 影响因子: 6.5
• 作者: Boeddinghaus RS;Marhan S;Gebala A;Haslwimmer H;Vieira S;Sikorski J;Overmann J;Soares M;Rousk J;Rennert T;Kandeler E
• 通讯作者: Kandeler E

The impact of even‐aged and uneven‐aged forest management on regional biodiversity of multiple taxa in European beech forests

• DOI: 10.1111/1365-2664.12950
• 发表时间: 2018
• 期刊: Journal of Applied Ecology
• 影响因子: 5.7
• 作者: P. Schall;M. Gossner;S. Heinrichs;M. Fischer;S. Boch;D. Prati;Kirsten Jung;Vanessa Baumgartner;S. Blaser;S. Böhm;F. Buscot;R. Daniel;K. Goldmann;K. Kaiser;Tiemo Kahl;M. Lange;Jörg C Müller;J. Overmann;S. Renner;E. Schulze;J. Sikorski;M. Tschapka;Manfred Türke;W. Weisser;B. Wemheuer;T. Wubet;C. Ammer

Function of bacterial community dynamics in the formation of cadaveric semiochemicals during in situ carcass decomposition

• DOI: 10.1111/1462-2920.13828
• 发表时间: 2017-08
• 期刊: Environmental Microbiology
• 影响因子: 5.1
• 作者: J. Pascual;Christian von Hoermann;Ann-Marie Rottler-Hoermann;Omer Nevo;Alicia M Geppert;J. Sikorski;Katharina J. Huber;Sandra Steiger;M. Ayasse;J. Overmann