Culture performance, gene marker, and transcriptome data for fungal isolates (Chalara longipes, Laccaria bicolor, Serpula lacrymans, and Trichoderma harzianum)

Fahri Hasby, Florian Barbi, Stefano Manzoni & Björn Lindahl
Metatranscriptomics holds the prospect of predicting fungal phenotypes based on patterns of gene expressions, providing new opportunities to obtain information about metabolic processes without disturbance of natural systems, and with taxonomic resolution. Acquisition of fungal metabolic carbon and its subsequent partitioning between biomass production and respiration, i.e. the carbon-use efficiency, are central parameters in biogeochemical modelling. However, current available techniques for estimating these parameters in natural systems are all associated with practical and theoretical shortcomings,...
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These counts follow the COUNTER Code of Practice, meaning that Internet robots and repeats within a certain time frame are excluded.
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