ArticleFungal biology and biotechnology2014
RNA-sequencing reveals the complexities of the transcriptional response to lignocellulosic biofuel substrates in
Article in Fungal biology and biotechnology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 170 citations in OpenAlex.
- Rhodotorula mucilaginosa ZTHY2 as a promising antibiotic alternative in Leizhou black ducks: impact on growth, meat quality, intestinal health, and microbiota composition.BMC veterinary research · 2026Article
- Alternative splicing analysis of lignocellulose-degrading enzyme genes and enzyme variants in Aspergillus niger.Applied microbiology and biotechnology · 2024Article
- Review
- Assessing the intracellular primary metabolic profile ofFrontiers in fungal biology · 2022Article
- Succession of physiological stages hallmarks the transcriptomic response of the fungusBiotechnology for biofuels · 2020Article
- Transcriptome Profiling-Based Analysis of Carbohydrate-Active Enzymes inFrontiers in bioengineering and biotechnology · 2020Article
- Carbon sources and XlnR-dependent transcriptional landscape of CAZymes in the industrial fungus Talaromyces versatilis: when exception seems to be the rule.Microbial cell factories · 2019Article
- Phylogenomics Reveal the Dynamic Evolution of Fungal Nitric Oxide Reductases and Their Relationship to Secondary Metabolism.Genome biology and evolution · 2018Article
- Analysis of the Transcriptome inFrontiers in bioengineering and biotechnology · 2018Article
- Comparative transcriptome analysis reveals different strategies for degradation of steam-exploded sugarcane bagasse by Aspergillus niger and Trichoderma reesei.BMC genomics · 2017Article
- Transcriptomic responses of mixed cultures of ascomycete fungi to lignocellulose using dual RNA-seq reveal inter-species antagonism and limited beneficial effects on CAZyme expression.Fungal genetics and biology : FG & B · 2017Article
- Application of carbohydrate arrays coupled with mass spectrometry to detect activity of plant-polysaccharide degradative enzymes from the fungus Aspergillus niger.Scientific reports · 2017Article
- Regulators of plant biomass degradation in ascomycetous fungi.Biotechnology for biofuels · 2017Review
- Expression ofBiotechnology for biofuels · 2017Article
- The roles of the zinc finger transcription factors XlnR, ClrA and ClrB in the breakdown of lignocellulose by Aspergillus niger.AMB Express · 2016Article
- Functional Genomic Analysis of Aspergillus flavus Interacting with Resistant and Susceptible Peanut.Toxins · 2016Article
- Identification and functional characterization of novel xylose transporters from the cell factories Aspergillus niger and Trichoderma reesei.Biotechnology for biofuels · 2016Article
- Diversity of fungal feruloyl esterases: updated phylogenetic classification, properties, and industrial applications.Biotechnology for biofuels · 2016Review
Corrections and comments
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Authors and funding
12 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundSaprobic fungi are the predominant industrial sources of Carbohydrate Active enZymes (CAZymes) used for the saccharification of lignocellulose during the production of second generation biofuels. The production of more effective enzyme cocktails is a key objective for efficient biofuel production. To achieve this objective, it is crucial to understand the response of fungi to lignocellulose substrates. Our previous study used RNA-seq to identify the genes induced in
resultsIn this work we used RNA-seq to identify the genes induced in
conclusionsBy comparing this first study of the global transcriptional response of a fungus to willow with the response to straw, we have shown that the inducing lignocellulosic substrate has a marked effect upon the range of transcripts and enzymes expressed by
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.