生物
分类单元
分类等级
门
生态系统
生态学
生命史理论
土壤水分
航程(航空)
生活史
人口
微生物生态学
细菌
古生物学
复合材料
人口学
材料科学
社会学
作者
Bram WG Stone,Paul Dijkstra,Brianna Finley,Raina M. Fitzpatrick,Megan M. Foley,Michaela Hayer,Kirsten Hofmockel,Benjamin J. Koch,Junhui Li,Xiao‐Jun Allen Liu,Ayla Martinez,Rebecca L. Mau,Jane C. Marks,Victoria Monsaint-Queeney,Ember M. Morrissey,Jeffrey Propster,Jennifer Pett‐Ridge,Alicia M. Purcell,Egbert Schwartz,Bruce A. Hungate
出处
期刊:The ISME Journal
[Springer Nature]
日期:2023-02-02
卷期号:17 (4): 611-619
被引量:45
标识
DOI:10.1038/s41396-022-01354-0
摘要
Abstract Study of life history strategies may help predict the performance of microorganisms in nature by organizing the complexity of microbial communities into groups of organisms with similar strategies. Here, we tested the extent that one common application of life history theory, the copiotroph-oligotroph framework, could predict the relative population growth rate of bacterial taxa in soils from four different ecosystems. We measured the change of in situ relative growth rate to added glucose and ammonium using both 18O–H2O and 13C quantitative stable isotope probing to test whether bacterial taxa sorted into copiotrophic and oligotrophic groups. We saw considerable overlap in nutrient responses across most bacteria regardless of phyla, with many taxa growing slowly and few taxa that grew quickly. To define plausible life history boundaries based on in situ relative growth rates, we applied Gaussian mixture models to organisms’ joint 18O–13C signatures and found that across experimental replicates, few taxa could consistently be assigned as copiotrophs, despite their potential for fast growth. When life history classifications were assigned based on average relative growth rate at varying taxonomic levels, finer resolutions (e.g., genus level) were significantly more effective in capturing changes in nutrient response than broad taxonomic resolution (e.g., phylum level). Our results demonstrate the difficulty in generalizing bacterial life history strategies to broad lineages, and even to single organisms across a range of soils and experimental conditions. We conclude that there is a continued need for the direct measurement of microbial communities in soil to advance ecologically realistic frameworks.
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