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本文引用的文献

1
Variability of rRNA Operon Copy Number and Growth Rate Dynamics of Bacillus Isolated from an Extremely Oligotrophic Aquatic Ecosystem.从极端贫营养水生生态系统分离的芽孢杆菌的rRNA操纵子拷贝数变异性和生长速率动态
Front Microbiol. 2016 Jan 5;6:1486. doi: 10.3389/fmicb.2015.01486. eCollection 2015.

预测细菌在培养物中的生长与在土壤中的实际生长的基因组特征。

Predictive genomic traits for bacterial growth in culture versus actual growth in soil.

机构信息

Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ, 86011, USA.

Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, 86011, USA.

出版信息

ISME J. 2019 Sep;13(9):2162-2172. doi: 10.1038/s41396-019-0422-z. Epub 2019 May 3.

DOI:10.1038/s41396-019-0422-z
PMID:31053828
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6776108/
Abstract

Relationships between microbial genes and performance are often evaluated in the laboratory in pure cultures, with little validation in nature. Here, we show that genomic traits related to laboratory measurements of maximum growth potential failed to predict the growth rates of bacteria in unamended soil, but successfully predicted growth responses to resource pulses: growth increased with 16S rRNA gene copy number and declined with genome size after substrate addition to soils, responses that were repeated in four different ecosystems. Genome size best predicted growth rate in response to addition of glucose alone; adding ammonium with glucose weakened the relationship, and the relationship was absent in nutrient-replete pure cultures, consistent with the idea that reduced genome size is a mechanism of nutrient conservation. Our findings demonstrate that genomic traits of soil bacteria can map to their ecological performance in nature, but the mapping is poor under native soil conditions, where genomic traits related to stress tolerance may prove more predictive. These results remind that phenotype depends on environmental context, underscoring the importance of verifying proposed schemes of trait-based strategies through direct measurement of performance in nature, an important and currently missing foundation for translating microbial processes from genes to ecosystems.

摘要

微生物基因与表现型之间的关系通常在纯培养物的实验室中进行评估,而在自然界中很少得到验证。在这里,我们表明,与实验室测量最大生长潜力相关的基因组特征无法预测未添加肥料的土壤中细菌的生长速率,但成功预测了对资源脉冲的生长反应:在向土壤中添加基质后,随着 16S rRNA 基因拷贝数的增加和基因组大小的减少,细菌的生长增加,这些反应在四个不同的生态系统中重复出现。基因组大小最能预测单独添加葡萄糖时的生长速率;添加葡萄糖和铵会削弱这种关系,而在营养充足的纯培养物中则不存在这种关系,这与减少基因组大小是一种养分保存机制的观点一致。我们的研究结果表明,土壤细菌的基因组特征可以映射到它们在自然界中的生态表现,但在原生土壤条件下,这种映射效果很差,在这种条件下,与应激耐受相关的基因组特征可能更具预测性。这些结果提醒我们表型取决于环境背景,突出了通过直接测量自然环境中的性能来验证基于特征的策略的重要性,这是将微生物过程从基因转化为生态系统的重要且目前缺失的基础。