Keystone taxa predict compositional change in microbial communities

被引:233
|
作者
Herren, Cristina M. [1 ,2 ]
McMahon, Katherine D. [3 ]
机构
[1] Univ Wisconsin, Freshwater & Marine Sci Program, Madison, WI 53706 USA
[2] Harvard Univ, Harvard Data Sci Initiat, Cambridge, MA 02138 USA
[3] Univ Wisconsin, Dept Bacteriol & Civil & Environm Engn, Madison, WI USA
基金
美国国家科学基金会; 美国食品与农业研究所;
关键词
TROPHIC INTERACTIONS; STABILITY; COMPETITION; COMPLEXITY; ECOLOGY; PHYTOPLANKTON; POPULATION; RESPONSES; NETWORKS; DYNAMICS;
D O I
10.1111/1462-2920.14257
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
The influence of biotic interactions on microbial community assembly is intensely debated. We hypothesized that keystone taxa, which influence community assembly through strong biotic interactions, are important for regulating microbial community composition. While highly connected microbes have been identified, evidence that these taxa act as keystones is lacking, because keystone status requires influence on whole-community dynamics. We address this gap, showing that small subsets of highly connected keystone taxa (generally 1%-5% of richness) can be optimal predictors of whole-community compositional change. In three long-term data sets, greater connectivity due to the presence of keystone taxa corresponded to lower compositional turnover. We further hypothesized that the influence of keystone taxa would be diminished when environmental disturbance was a strong driver of compositional change. We used two case studies of reference and disturbed communities to investigate how biotic and abiotic forces interact to shape community composition. Most of the same taxa were present in both the reference and disturbed communities, but keystone taxa had much greater explanatory power in the reference communities. Our results suggest that greater biotic connectivity arising from the presence of keystone taxa is stabilizing to community composition, and that keystone taxa can be good indicators of pending community shifts.
引用
收藏
页码:2207 / 2217
页数:11
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