TY - JOUR
T1 - Microbial taxonomic and functional attributes consistently predict soil CO2 emissions across contrasting croplands
AU - Liu, Yu-Rong
AU - Delgado-Baquerizo, Manuel
AU - Yang, Ziming
AU - Feng, Jiao
AU - Zhu, Jun
AU - Huang, Qiaoyun
PY - 2020
Y1 - 2020
N2 - Despite distinct roles of soil microbes in regulating carbon (C) respiration in diverse environments, it remains unclear whether microbial taxonomic and functional attributes can consistently predict soil C emissions across contrasting ecosystems. Here, we conducted a large-scale sampling event across two contrasting croplands (rice and wheat-corn crop rotation) to identify specific soil microbial phylotypes and functional genes associated with soil respiration rates. The results of structural equation modeling indicated that bacterial community composition had a strong link with C respiration rates in the two contrasting cropland types; however, this link was weaker for fungal communities. More importantly, we found that the relative abundances of bacterial Solirubrobacterales_480-2, Myxococcales_mle1-27 and fungal Westerdykella had consistently negative correlation with respiration rates across paddy and upland soils. We also identified taxa that are significantly correlated to C respiration in the paddy (e.g. Methylocaldum) and upland soils (e.g. Kribbella), respectively. Further, we found multiple associations between functional genes involved in microbial C metabolism and soil respiration rates. Our findings provide novel insights into understanding microbial predictors of soil CO2 emissions in diverse croplands, which have important implications for improving C emission predictions in terrestrial ecosystems.
AB - Despite distinct roles of soil microbes in regulating carbon (C) respiration in diverse environments, it remains unclear whether microbial taxonomic and functional attributes can consistently predict soil C emissions across contrasting ecosystems. Here, we conducted a large-scale sampling event across two contrasting croplands (rice and wheat-corn crop rotation) to identify specific soil microbial phylotypes and functional genes associated with soil respiration rates. The results of structural equation modeling indicated that bacterial community composition had a strong link with C respiration rates in the two contrasting cropland types; however, this link was weaker for fungal communities. More importantly, we found that the relative abundances of bacterial Solirubrobacterales_480-2, Myxococcales_mle1-27 and fungal Westerdykella had consistently negative correlation with respiration rates across paddy and upland soils. We also identified taxa that are significantly correlated to C respiration in the paddy (e.g. Methylocaldum) and upland soils (e.g. Kribbella), respectively. Further, we found multiple associations between functional genes involved in microbial C metabolism and soil respiration rates. Our findings provide novel insights into understanding microbial predictors of soil CO2 emissions in diverse croplands, which have important implications for improving C emission predictions in terrestrial ecosystems.
UR - https://hdl.handle.net/1959.7/uws:64439
U2 - 10.1016/j.scitotenv.2019.134885
DO - 10.1016/j.scitotenv.2019.134885
M3 - Article
SN - 0048-9697
VL - 702
JO - Science of the Total Environment
JF - Science of the Total Environment
M1 - 134885
ER -