Linking regional shifts in microbial genome adaptation with surface ocean biogeochemistry
Linking regional shifts in microbial genome adaptation with surface ocean biogeochemistry
复制标题
DOI：
10.1098/rstb.2019.0254
复制
发表时间：
2020-05-11
影响因子：
6.3
通讯作者：
Martiny, Adam C.
中科院分区：
文献类型：
--
作者：
Garcia, Catherine A.;Hagstrom, George, I;Martiny, Adam C.
将组学测量与生物地球化学循环联系起来是微生物群落生态学中的一个广泛挑战。在这里，我们建议应用基因组适应作为微生物投资的“生物传感器”，以克服营养压力。然后，我们将这些基因组信息与基于性状的模型相结合，以预测海洋浮游生物群落元素组成的区域变化。我们使用来自大西洋、印度洋和太平洋的宏基因组和颗粒有机物样本评估了这种方法。我们发现基于基因组的性状模型显着改善了我们对海洋区域颗粒物 C:P（碳：磷）的预测。此外，我们还发现了以前未被识别的铁、氮和磷胁迫海洋区域。在许多生态系统中，量化微生物压力可能非常具有挑战性。因此，经过仔细校准的基因组方法可能成为了解微生物对环境变化和生物地球化学结果的反应的广泛工具。本文是主题“微生物群落生态学的概念挑战”的一部分。
Linking 'omics measurements with biogeochemical cycles is a widespread challenge in microbial community ecology. Here, we propose applying genomic adaptation as 'biosensors' for microbial investments to overcome nutrient stress. We then integrate this genomic information with a trait-based model to predict regional shifts in the elemental composition of marine plankton communities. We evaluated this approach using metagenomic and particulate organic matter samples from the Atlantic, Indian and Pacific Oceans. We find that our genome-based trait model significantly improves our prediction of particulate C : P (carbon : phosphorus) across ocean regions. Furthermore, we detect previously unrecognized ocean areas of iron, nitrogen and phosphorus stress. In many ecosystems, it can be very challenging to quantify microbial stress. Thus, a carefully calibrated genomic approach could become a widespread tool for understanding microbial responses to environmental changes and the biogeochemical outcomes. This article is part of the theme issue 'Conceptual challenges in microbial community ecology'.