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Transcriptomic profile of lignocellulose degradation from Trametes versicolor on poplar wood

ABSTRACT: The Trametes versicolor genome is predicted to encode many enzymes that can effectively degrade lignin, making it a has potentially useful application intool for biopulping and biobleaching. Poplar is an important and widely cultivated species of tree species, which isand extensively applied used in the pulping industry. However, the wood degradation mechanism of T. versicolor from transcriptomic level is not clear. To reveal identify the enzymes that contributeing to lignocellulose degraredauction and its degradation mechanisms, we evaluated transcriptomic how study theof T. versicolor transcriptome was changes during evaluated growthing on the poplar wood relative to growth on glucose medium. 853 genes were differentially expressed;, 360 genes were up-regulated on poplar wood, and 493 genes were down-regulated on poplar wood. Notably, most genes relative involved into lignin degradation were up-regulated, including eight lignin peroxidase (LiP) genes, and two manganese peroxidase (MnP) genes etc. Genes encoding cellulose and hemicelluloses degrading-enzymesation were mostly down-regulated, including six endo-β-1, 4-glucanase genes, three cellobiohydrolase I genes, and one cellobiohydrolase II gene, etc. MeanwhileAdditionally, expression of more significant expansion of P450s in T. versicolor genome, along with differences in carbohydrate- and lignin-degrading enzymes, could bewere correlated withto poplar wood degradation. Our results revealed transcriptomic characterizeation transcriptomic changes related toof lignocellulose degradation. Therefore, our results cwould be benuseful for the development ofefit T. versicolor as a tool to improve the efficiency of lignin degradation, and provide a theoretical foundation for a new paper pulp manufacturing processe

ORGANISM(S): Trametes versicolor

PROVIDER: GSE81742 | GEO | 2016/08/06

SECONDARY ACCESSION(S): PRJNA322461

REPOSITORIES: GEO

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Project description:Using whole genome microarrays based on the annotated genomes of Postia placenta, we monitored the changes in its transcriptomes relevant to cell wall degradation during growth on three chemically distinct Populus trichocarpa (poplar) wood substrates. The research goal is to identtify genes essential for cellulose depolymerization. From a data set of 12438 unique gene models, each NimbleGen (Madison, WI) array targeted 9959 genes and featured 10 unique 60mers per gene, all in triplicate. RNA and protein were obtained from P. placenta strain MAD-698-R (USDA Forest Mycology Center, Forest Products Laboratory, Madison WI) grown in malt extract agar for 10 days prior to inoculation with wood wafers. Three poplar wood substrates with distinct cell wall chemical properties were selected from several hundred 4-year old poplar (Populus trichocarpa) trees grown in a common garden field trial at the University of British Columbia (Canada). We selected three poplar genotypes based on cell wall chemical traits. Substrate A corresponds to a genotype with a higher than average lignin content and lower that average glucose content; Substrate B, a lower than average lignin content and higher that average glucose content; Substrate C lignin and glucose contents are near the population average. Poplar wood stems were cut into 0.5 mm wafers on a microtome, sterilized for 20 min at 121°C, dried at 50°C overnight, and cooled to room temperature. The specimens were then inoculated in Petri dishes with actively growing mycelia. Approximately 5 g of wood wafers were placed in each Petri dish (exact weights were recorded), sealed and incubated at 22°C and 70 ± 5% relative humidity for 10, 20 or 30 days. For RNA, the degraded wafers were removed from the Petri dishes, immediately snap-frozen in liquid nitrogen and stored at -80°C for later use. Total RNA was converted to Cy3 labelled cDNA, hybridized to microarrays and scanned as previously described by Vanden Wymelenberg et al 2010 (Appl Enviro Microbiol 76:3599-3610).The 24 arrays per fungal species were scanned and data extracted using NimbleScan v.2.4. The raw data was loaded into GeneSpring, where the intensities were converted to log2 and quantile normalized, and all probes per gene averaged. This data was then exported and further analyzed in R. For substrates “A” and “B”, three replicates were used for each wood substrate/fungus and incubation period combination. For substrate “C” only 2 biological replicates were employed.

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Transcriptomic profile of lignocellulose degradation from Trametes versicolor on poplar wood

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