2015
DOI: 10.1371/journal.pone.0120679
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Signature Wood Modifications Reveal Decomposer Community History

Abstract: Correlating plant litter decay rates with initial tissue traits (e.g. C, N contents) is common practice, but in woody litter, predictive relationships are often weak. Variability in predicting wood decomposition is partially due to territorial competition among fungal decomposers that, in turn, have a range of nutritional strategies (rot types) and consequences on residues. Given this biotic influence, researchers are increasingly using culture-independent tools in an attempt to link variability more directly … Show more

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Cited by 45 publications
(58 citation statements)
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“…These residue changes are a collective history of decomposer dominance (Worrall et al, 1997) among the diverse lineages, genomes, and lignocellulolytic strategies of wood-degrading fungi (Riley et al, 2014). In our work (Schilling et al, 2015) and similar to Worrall et al (1997), we found a 40% DAS threshold in decayed wood to adequately separate brown (>40%) from both white rot and sound wood (both <40%). This threshold is a weight-based percentage, and brown rot DAS in our study and the Worrall et al (1997) study tend to be much higher, often approaching 60e70%.…”
Section: Wood Chemistrysupporting
confidence: 67%
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“…These residue changes are a collective history of decomposer dominance (Worrall et al, 1997) among the diverse lineages, genomes, and lignocellulolytic strategies of wood-degrading fungi (Riley et al, 2014). In our work (Schilling et al, 2015) and similar to Worrall et al (1997), we found a 40% DAS threshold in decayed wood to adequately separate brown (>40%) from both white rot and sound wood (both <40%). This threshold is a weight-based percentage, and brown rot DAS in our study and the Worrall et al (1997) study tend to be much higher, often approaching 60e70%.…”
Section: Wood Chemistrysupporting
confidence: 67%
“…This threshold is a weight-based percentage, and brown rot DAS in our study and the Worrall et al (1997) study tend to be much higher, often approaching 60e70%. We also know that while there is a 'history effect' caveat for brown rot (once DAS is high, it stays high), if DAS is low coincident with density loss, it is safe to assume white rot, particularly if coupled with significant lignin loss (Schilling et al, 2015). In this study, dilute alkali solubility (wt%) of wood powders was measured in 0.2 M NaOH following protocols in Shortle et al (2010).…”
Section: Wood Chemistrymentioning
confidence: 99%
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“…For example, additional trait metadata within guilds can also be directly incorporated into FUNGuild. To demonstrate this, we have assigned rot type (white vs. brown, but see Riley et al, 2014) to some taxa within wood decomposer guild to facilitate additional ecological inference in that group (Worrall et al, 1997;Schilling et al, 2015). A similar example involves ectomycorrhizal fungi, which have been increasingly classified according to their extraradical mycelial exploration types (Agerer, 2001;Tedersoo and Smith, 2013).…”
Section: Discussionmentioning
confidence: 99%
“…Accordingly, their decay mechanisms may provide a model for new biomass conversion technologies that not only function despite the presence of lignin but also yield lignin as a potentially useful coproduct (1)(2)(3). Deviating from their white rot ancestors, brown rot fungi have evolved mechanisms that are generally faster (4,5) and more polysaccharide-specific because they circumvent lignin (4,(6)(7)(8). This enhanced efficiency is coupled with losses, not expansions, of key white rot genes, including many linked to lignin degradation and processive cellulose hydrolysis.…”
mentioning
confidence: 99%