Instituto de Agrobiotecnología de Rosario (INDEAR), Ocampo 210 bis, Predio CCT Rosario, Santa Fe 2000, Argentina.
Microbiome. 2013 Jul 29;1(1):21. doi: 10.1186/2049-2618-1-21.
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.
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.
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.
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,影响着植物的生长和作物的产量。然而,我们对物种组合与土壤生态系统过程之间关系的了解还非常有限。本研究的目的是进行全面的宏基因组调查,以评估高投入农业实践对土壤微生物群落的影响。
我们从阿根廷潘帕斯地区的三个不同地区、三种不同的土地利用类型和两种土壤来源(原状土和根际土)采集了土壤样本。我们从所有样本中提取总 DNA,并从根际样本中合成 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,共 130 万个读数和 36 个 shotgun 宏基因组文库,共 1780 万个读数(77GB)。我们的初步结果表明,水分的可利用性可能是决定微生物组合的主要因素,而土地利用和土壤来源则次之。然而,当水分不是限制因素(年降水量>800mm)时,土地利用则是主要驱动因素。
这是在阿根廷进行的首次土壤宏基因组研究,我们的数据集是少数公开的大型土壤数据集之一。对这些数据的详细分析将有助于我们进一步了解土壤微生物组如何应对高投入农业系统,同时也可以与全球其他土壤宏基因组研究进行有益的比较。