Mesh : Soil Microbiology Bacteria / classification genetics growth & development metabolism Soil / chemistry Ecosystem Carbon / metabolism Nitrogen / metabolism Metagenome Forests Carbon Cycle Microbiota Codon Usage

来  源:   DOI:10.1038/s41467-024-50382-1   PDF(Pubmed)

Abstract:
Despite the growing catalogue of studies detailing the taxonomic and functional composition of soil bacterial communities, the life history traits of those communities remain largely unknown. This study analyzes a global dataset of soil metagenomes to explore environmental drivers of growth potential, a fundamental aspect of bacterial life history. We find that growth potential, estimated from codon usage statistics, was highest in forested biomes and lowest in arid latitudes. This indicates that bacterial productivity generally reflects ecosystem productivity globally. Accordingly, the strongest environmental predictors of growth potential were productivity indicators, such as distance to the equator, and soil properties that vary along productivity gradients, such as pH and carbon to nitrogen ratios. We also observe that growth potential was negatively correlated with the relative abundances of genes involved in carbohydrate metabolism, demonstrating tradeoffs between growth and resource acquisition in soil bacteria. Overall, we identify macroecological patterns in bacterial growth potential and link growth rates to soil carbon cycling.
摘要:
尽管越来越多的研究详细介绍了土壤细菌群落的分类和功能组成,这些社区的生活史特征在很大程度上仍然未知。这项研究分析了土壤宏基因组的全球数据集,以探索生长潜力的环境驱动因素,细菌生活史的一个基本方面。我们发现增长潜力,根据密码子使用统计估计,在森林生物群落中最高,在干旱纬度中最低。这表明细菌生产力通常反映全球生态系统生产力。因此,增长潜力的最强环境预测因子是生产率指标,比如到赤道的距离,和随生产力梯度变化的土壤特性,如pH和碳氮比。我们还观察到生长潜能与参与碳水化合物代谢的基因的相对丰度呈负相关。证明了土壤细菌生长和资源获取之间的权衡。总的来说,我们确定了细菌生长潜力的宏观生态模式,并将生长速率与土壤碳循环联系起来。
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