Ester Linked Fatty Acid (ELFA) method should be used with caution for interpretating soil microbial communities and their relationships with environmental variables in forest soils

被引:2
|
作者
Yu, Wenjuan [1 ,2 ]
Gao, Huanhuan [3 ]
Kang, Hongzhang [1 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Design, Dept Landscape Architecture, Shanghai, Peoples R China
[2] Iowa State Univ, Dept Ecol Evolut & Organismal Biol, Ames, IA 50011 USA
[3] Shanghai Jiao Tong Univ, Sch Agr & Biol, Shanghai, Peoples R China
来源
PLOS ONE | 2021年 / 16卷 / 05期
基金
中国国家自然科学基金;
关键词
MYCORRHIZAL FUNGI; BIOMASS; BACTERIAL; FRACTION; NITROGEN; PLFA;
D O I
10.1371/journal.pone.0251501
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
As an alternative for phospholipid fatty acid (PLFA) analysis, a simpler ester linked fatty acid (ELFA) analysis has been developed to characterize soil microbial communities. However, few studies have compared the two methods in forest soils where the contribution of nonmicrobial sources may be larger than that of microbial sources. Moreover, it remains unclear whether the two methods yield similar relationships of microbial biomass and composition with environmental variables. Here, we compared PLFA and ELFA methods with respect to microbial biomass and composition and their relationships with environmental variables in six oriental oak (Quercus variabilis) forest sites along a 1500-km latitudinal gradient in East China. We found that both methods had a low sample-to-sample variability and successfully separated overall community composition of sites. However, total, bacterial, and fungal biomass, the fungal-to-bacterial ratio, and the gram-positive to gram-negative bacteria ratio were not significantly or strongly correlated between the two methods. The relationships of these microbial properties with environmental variables (pH, precipitation, and clay) greatly differed between the two methods. Our study indicates that despite its simplicity, the ELFA method may not be as feasible as the PLFA method for investigating microbial biomass and composition and for identifying their dominant environmental drivers, at least in forest soils.
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页数:10
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