PLFA 分析虽能区分真菌和细菌的生物量，却因各实验室分析步骤和结果解释的差异，导致不同研究间结果难以比较。 近年来新兴的基于 DNA 测序技术的方法，如定量 PCR（qPCR）和微滴数字 PCR（ddPCR），虽有潜力，但也受到 DNA 提取方法、引物设计等多种因素影响，且 ddPCR 的应用尚未普及。

本研究针对集约化稻田土壤健康的多维度驱动机制，通过整合PLFA（磷脂脂肪酸）微生物标记、非生物参数（pH/SOC/NH4 + -N等）与三组生态系统功能指标（产量/水稳性团聚体/分解速率），首次量化了非生物因子（贡献13.3%）与微生物群落（11.7%）对土壤功能的独立及协同影响。

PLFA are markers for living bacteria and can be used to profile community structure. The ubiquitous presence of microbes requires extreme caution during collection, storage and processing of samples.

Bray–Curtis similarity matrices of the PLFA profiles (% of total PLFA) were square-root transformed to even out the contribution of very rare and very dominant PLFAs, and analysed by cluster ...

Tianli Bao, Liqian Gao, Shanshan Wang, Xueqin Yang, Wei Ren, Yunge Zhao, Moderate disturbance increases the PLFA diversity and biomass of the microbial community in biocrusts in the Loess Plateau ...

PLFA patterns of the SMC shifted because of clear-cutting, but seasonal temporal changes had greater shifts than differences among stand age. The microbial biomass (total PLFA) and bacterial, fungal, ...