Comparing PLFA and amino sugars for microbial analysis in an Upper Michigan old growth forest

By C. Liang, R. Fujinuma, T. Balser. 2008

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An Absorbing Markov Chain approach to understanding the microbial role in soil carbon stabilization (2011, methodology): “…for living microbial biomass, microbial necromass and CO2 evolution, using microbial biomarker PLFA and amino sugar analysis in combination (see Liang et al. 2008), with isotopic tracers, may allow quantification of the C present in the three model microbial states at the different sampling…”
Turnover of microbial groups and cell components in soil: 13 C analysis of cellular biomarkers (2017, background): “Therefore, the high amount of amino sugars, relative to PLFAs, can only be explained by their high proportion in microbial residues/necromass (Glaser et al., 2004; Liang et al., 2008).”
Microbial community response to varying magnitudes of desiccation in soil: A test of the osmolyte accumulation hypothesis (2013, background): “The PLFA’s i15:0, a15:0, i16:0, a16:0, i17:0, a17:0 (gram-positive), 16:1u9, 16:1u7, 18:1u7 and cy19:0 (gram-negative) were considered as bacterial biomarkers, 10:Me 16:0 and 10:Me 18:0 for actinomycetes and 18:1u9 and 18:2u6 as fungal biomarkers (Frostegård and Bååth, 1996; Zhang et al., 2005; Lian”