Departamento de Oceanografía, Universidad de Concepción, 4070386 Concepción, Chile;
Instituto Milenio de Oceanografía, Universidad de Concepción, 4070386 Concepción, Chile.
Proc Natl Acad Sci U S A. 2019 Feb 26;116(9):3630-3635. doi: 10.1073/pnas.1817554116. Epub 2019 Feb 11.
The structure of biological communities is conventionally described as profiles of taxonomic units, whose ecological functions are assumed to be known or, at least, predictable. In environmental microbiology, however, the functions of a majority of microorganisms are unknown and expected to be highly dynamic and collectively redundant, obscuring the link between taxonomic structure and ecosystem functioning. Although genetic trait-based approaches at the community level might overcome this problem, no obvious choice of gene categories can be identified as appropriate descriptive units in a general ecological context. We used 247 microbial metagenomes from 18 biomes to determine which set of genes better characterizes the differences among biomes on the global scale. We show that profiles of oxidoreductase genes support the highest biome differentiation compared with profiles of other categories of enzymes, general protein-coding genes, transporter genes, and taxonomic gene markers. Based on oxidoreductases' description of microbial communities, the role of energetics in differentiation and particular ecosystem function of different biomes become readily apparent. We also show that taxonomic diversity is decoupled from functional diversity, e.g., grasslands and rhizospheres were the most diverse biomes in oxidoreductases but not in taxonomy. Considering that microbes underpin biogeochemical processes and nutrient recycling through oxidoreductases, this functional diversity should be relevant for a better understanding of the stability and conservation of biomes. Consequently, this approach might help to quantify the impact of environmental stressors on microbial ecosystems in the context of the global-scale biome crisis that our planet currently faces.
生物群落的结构通常被描述为分类单元的剖面,其生态功能被认为是已知的,或者至少是可以预测的。然而,在环境微生物学中,大多数微生物的功能是未知的,预计它们具有高度的动态性和集体冗余性,这掩盖了分类结构与生态系统功能之间的联系。尽管基于遗传特征的群落水平方法可能会克服这个问题,但在一般的生态背景下,没有明显的基因类别选择可以被认为是合适的描述性单位。我们使用了来自 18 个生物群落的 247 个微生物宏基因组,以确定哪一组基因更能在全球范围内描述生物群落之间的差异。我们表明,与其他酶类、一般蛋白质编码基因、转运蛋白基因和分类基因标记的图谱相比,氧化还原酶基因的图谱更能支持生物群落之间的差异。基于氧化还原酶对微生物群落的描述,能量学在分化中的作用和不同生物群落的特殊生态系统功能变得显而易见。我们还表明,分类多样性与功能多样性是脱钩的,例如,草原和根际是氧化还原酶中最多样化的生物群落,但在分类学上却不是。考虑到微生物通过氧化还原酶支撑着生物地球化学过程和养分循环,这种功能多样性应该有助于更好地理解生物群落的稳定性和保护。因此,这种方法可能有助于在我们星球目前面临的全球规模生物群落危机的背景下,量化环境胁迫对微生物生态系统的影响。