Deep molecular characterization of eukaryotic microorganisms´ diversity and community composition in forest soils and the canopy region across biomes using a multiple barcoding approach - micDiv

使用多重条形码方法对森林土壤和生物群落冠层区域的真核微生物多样性和群落组成进行深入分子表征 - micDiv

• 批准号: 351263740
• 负责人: Professor Dr. Michael Bonkowski
• 金额: --
• 依托单位: AG Molekulare Evolution und Systematik der Tiere
• 依托单位国家: 德国
• 项目类别: Priority Programmes
• 财政年份: 2017
• 资助国家: 德国
• 起止时间: 2016-12-31 至 2022-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/351263740?language=en
• 关键词: Deep; molecular; characterization; eukaryotic; microorganisms

Soil protists occupy key nodes in terrestrial food webs due to their high abundance, fast turnover and functional importance as microbial grazers. However, methodological drawbacks in both culturing and molecular methods still strongly limit the knowledge of protist diversity, so that large groups remain virtually unknown. Accordingly, the structure of natural protist communities and taxa-specific ecological functions are largely unknown. We will use advanced cultivation-independent high throughput sequencing methods using group-specific primers and reverse rRNA-transcriptomics for a comprehensive assessment of protist diversity across all ecological compartments from forest soils (litter layer, mineral soil) to the canopy region (bark, leaves, dead wood, branch forks, knotholes, epiphytes) in temperate and tropical biomes.

土壤原生生物因其丰富度高、周转快和作为微生物食草动物的重要功能而占据陆地食物网的关键节点。然而，在培养和分子方法上的方法缺陷仍然严重限制了对原生生物多样性的了解，因此大群体实际上仍然是未知的。因此，自然原生生物群落的结构和分类群特有的生态功能在很大程度上是未知的。我们将使用先进的培养独立的高通量测序方法，使用群体特异性引物和反向rrna转录组学，全面评估温带和热带生物群系中从森林土壤（凋落物层、矿物土壤）到冠层区域（树皮、树叶、枯枝、枝叉、结孔、附生植物）的所有生态区室的原生生物多样性。