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The PAMPA datasets: a metagenomic survey of microbial communities in Argentinean pampean soils

机译:PAMPA数据集:阿根廷黄amp土壤中微生物群落的宏基因组学调查

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Background Soil is among the most diverse and complex environments in the world. Soil microorganisms play an essential role in biogeochemical cycles and affect plant growth and crop production. However, our knowledge of the relationship between species-assemblies and soil ecosystem processes is still very limited. The aim of this study was to generate a comprehensive metagenomic survey to evaluate the effect of high-input agricultural practices on soil microbial communities. Results We collected soil samples from three different areas in the Argentinean Pampean region under three different types of land uses and two soil sources (bulk and rhizospheric). We extracted total DNA from all samples and also synthetized cDNA from rhizospheric samples. Using 454-FLX technology, we generated 112 16S ribosomal DNA and 14 16S ribosomal RNA amplicon libraries totaling 1.3 M reads and 36 shotgun metagenome libraries totaling 17.8 million reads (7.7 GB). Our preliminary results suggested that water availability could be the primary driver that defined microbial assemblages over land use and soil source. However, when water was not a limiting resource (annual precipitation >800 mm) land use was a primary driver. Conclusion This was the first metagenomic study of soil conducted in Argentina and our datasets are among the few large soil datasets publicly available. The detailed analysis of these data will provide a step forward in our understanding of how soil microbiomes respond to high-input agricultural systems, and they will serve as a useful comparison with other soil metagenomic studies worldwide.
机译:背景技术土壤是世界上最多样化和最复杂的环境之一。土壤微生物在生物地球化学循环中起着至关重要的作用,并影响植物的生长和农作物的生产。但是,我们对物种集合与土壤生态系统过程之间关系的知识仍然非常有限。这项研究的目的是生成一个综合的宏基因组学调查,以评估高投入农业实践对土壤微生物群落的影响。结果我们在三种不同的土地利用类型和两种土壤来源(散装和根际)下,从阿根廷Pampean地区的三个不同区域收集了土壤样品。我们从所有样品中提取总DNA,并从根际样品中合成了cDNA。使用454-FLX技术,我们生成了112个16S核糖体DNA和14个16S核糖体RNA扩增子文库,总计130万个读数,和36个shot弹枪基因组文库,总计1780万个读数(7.7 GB)。我们的初步结果表明,水的可用性可能是定义土地利用和土壤来源上微生物组合的主要驱动力。但是,当水不是限制资源时(年降水量> 800毫米),土地使用是主要驱动力。结论这是在阿根廷进行的第一个土壤宏数据组研究,我们的数据集属于少数几个公开的大型土壤数据集。对这些数据的详细分析将为我们进一步了解土壤微生物群对高投入农业系统的反应提供一个新的方向,并将它们与全球其他土壤宏基因组学研究进行有益的比较。

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