Microbial traits determine soil C emission in response to fresh carbon inputs in forests across biomes

生物群落 土壤碳 启动(农业) 温带森林 生物 微生物种群生物学 碳循环 生态学 环境科学 温带雨林 土壤水分 温带气候 农学 生态系统 细菌 发芽 遗传学
作者
Chengjie Ren,Jieying Wang,Felipe Bastida,Manuel Delgado‐Baquerizo,Yuanhe Yang,Jun Wang,Zekun Zhong,Zhenghu Zhou,Shuohong Zhang,Yaoxin Guo,Sha Zhou,Gehong Wei,Xinhui Han,Gaihe Yang,Fazhu Zhao
出处
期刊:Global Change Biology [Wiley]
卷期号:28 (4): 1516-1528 被引量:58
标识
DOI:10.1111/gcb.16004
摘要

Soil priming is a microbial-driven process, which determines key soil-climate feedbacks in response to fresh carbon inputs. Despite its importance, the microbial traits behind this process are largely undetermined. Knowledge of the role of these traits is integral to advance our understanding of how soil microbes regulate carbon (C) emissions in forests, which support the largest soil carbon stocks globally. Using metagenomic sequencing and 13 C-glucose, we provide unprecedented evidence that microbial traits explain a unique portion of the variation in soil priming across forest biomes from tropical to cold temperature regions. We show that microbial functional profiles associated with the degradation of labile C, especially rapid simple sugar metabolism, drive soil priming in different forests. Genes involved in the degradation of lignin and aromatic compounds were negatively associated with priming effects in temperate forests, whereas the highest level of soil priming was associated with β-glucosidase genes in tropical/subtropical forests. Moreover, we reconstructed, for the first time, 42 whole bacterial genomes associated with the soil priming effect and found that these organisms support important gene machinery involved in priming effect. Collectively, our work demonstrates the importance of microbial traits to explain soil priming across forest biomes and suggests that rapid carbon metabolism is responsible for priming effects in forests. This knowledge is important because it advances our understanding on the microbial mechanisms mediating soil-climate feedbacks at a continental scale.
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