Biology subjects

Kwan, H. S.

Publications and source records attributed to Kwan, H. S..

3 recordsLinked to original sources

bioRxiv2018

eQTL network analysis reveals that regulatory genes are evolutionarily older and bearing more types of PTM sites in Coprinopsis cinerea

Understanding the DNA variation in regulation of carbohydrate-active enzymes (CAZymes) is fundamental to the use of wood-decaying basidiomycetes in lignocellulose conversion into renewable energy. Our goal is to identify the regulators of lignocellulolytic enzymes in Coprinopsis cinerea, of which the genome harbors high number of Auxiliary Activities enzymes.\n\nThe DNA sequence of C. cinerea family including 46 single spore isolates (SSIs) from crosses of two homozygous strains are used to develop a panel of SNP markers. Then the RNA sequence were used to characterize the gene expression profiles. The RNA were extracted from cultures grown on softwood-enriched sawdust to induce lignocellulolytic enzymes and CCR de-repression genes. To assess the genetic contribution to enzyme expression variations among the 46 SSIs, associations between SNPs and gene expressions were examined genome-widely. 5148 local eQTLs and 7738 distant eQTLs were obtained. By analyzing these eQTLs, the potential regulatory factors of the CAZymes expression and the de-repression of Carbon Catabolism Repression (CCR) were identified.\n\nThe eQTL network is characterized in terms of hotspots, evolutionary age and post-translational modifications (PTMs). In the eQTL network of C. cinerea, the non-regulatory genes are younger than the regulatory genes. The proteins regulated by combinational multiple types of PTMs are more likely to function as super regulatory hotspots in protein-protein interactions. The evolutionary age analysis and the PTMome analysis could serve as alternative methods to identify master regulators from genomic data.\n\nThis work demonstrates a comprehensive bioinformatics approach to identify regulatory factors with next-generation sequencing data. The results provide candidate genes for bioengineering to increase the enzyme production, which will practically benefit the bioethanol production from lignocellulose.\n\nSignificanceThis eQTL analysis is designed to study the fungal CAZymes and carbon catabolism repression, especially during the mycelium stage.\n\nO_LIIn Coprinopsis cinerea, only the regions near two ends of the chromosomes have high recombination rate, and suitable for family based eQTL analysis.\nC_LIO_LIA sugar transporter is a hotspot controlling many CCR genes.\nC_LIO_LICAZymes are not regulated by a master regulator, but by individual regulators. This indicates that CAZymes are under specific regulatory pathways, so can response to specific conditions.\nC_LIO_LIIn the eQTL network, the rGenes are evolutionarily older, with more types of PTM sites than eGenes.\nC_LIO_LIIn the eQTL network, the proteins with more types of PTM sites are more likely associated with Information Storage and Processing, and act as super-hub in the network.\nC_LI

bioinformatics↗

bioRxiv2018

Discovery of microRNA-like RNAs during early fruiting body development in the model mushroom Coprinopsis cinerea

Coprinopsis cinerea is a model mushroom particularly suited to study fungal fruiting body development and the evolution of multicellularity in fungi. While microRNAs (miRNAs) are extensively studied in animals and plants for their essential roles in post-transcriptional regulation of gene expression, miRNAs in fungi are less well characterized and their potential roles in controlling mushroom development remain unknown. To identify miRNA-like RNAs (milRNAs) in C. cinerea and explore their expression patterns during the early developmental transition of mushroom development, small RNA libraries of vegetative mycelium and primordium were generated and putative milRNA candidates were identified following the standards of miRNA prediction in animals and plants. Two out of 22 novel predicted milRNAs, cci-milR-12c and cci-milR-13e-5p, were validated by northern blot and stem-loop reverse transcription real-time PCR. Cci-milR-12c was differentially expressed whereas the expression levels of cci-milR-13e-5p were similar in the two developmental stages. Target prediction of the validated milRNAs resulted in genes associated with fruiting body development, including pheromone, hydrophobin, cytochrome P450, and protein kinase. Besides, essential genes for miRNA biogenesis, including three coding for Dicer-like (DCL), two for Argonaute-like (AGO-like) and one for quelling deficient-2 (QDE-2) proteins, were identified in the C. cinerea genome. Phylogenetic analysis showed that the DCL and AGO-like proteins of C. cinerea were more closely related to those in other basidiomycetes and ascomycetes than to animals and plants. Taken together, our findings provided the first evidence of milRNAs in the model mushroom and their potential roles in regulating fruiting body development. Information on the evolutionary relationship of milRNA biogenesis proteins across kingdoms has also provided new insights into further functional and evolutionary studies of miRNAs.

genetics↗

bioRxiv2017

Draft genomes of the fungal pathogen Phellinus noxius in Hong Kong

The fungal pathogen Phellinus noxius is the underlying cause of brown root rot, a disease with causing tree mortality globally, causing extensive damage in urban areas and crop plants. This disease currently has no cure, and despite the global epidemic, little is known about the pathogenesis and virulence of this pathogen.\n\nUsing Ion Torrent PGM, Illumina MiSeq and PacBio RSII sequencing platforms with various genome assembly methods, we produced the draft genome sequences of four P. noxius strains isolated from infected trees in Hong Kong to further understand the pathogen and identify the mechanisms behind the aggressive nature and virulence of this fungus. The resulting genomes ranged from 30.8Mb to 31.8Mb in size, and of the four sequences, the YTM97 strain was chosen to produce a high-quality Hong Kong strain genome sequence, resulting in a 31Mb final assembly with 457 scaffolds, an N50 length of 275,889 bp and 96.2% genome completeness. RNA-seq of YTM97 using Illumina HiSeq400 was performed for improved gene prediction. AUGUSTUS and Genemark-ES prediction programs predicted 9,887 protein-coding genes which were annotated using GO and Pfam databases. The encoded carbohydrate active enzymes revealed large numbers of lignolytic enzymes present, comparable to those of other white-rot plant pathogens. In addition, P. noxius also possessed larger numbers of cellulose, xylan and hemicellulose degrading enzymes than other plant pathogens. Searches for virulence genes was also performed using PHI-Base and DFVF databases revealing a host of virulence-related genes and effectors. The combination of non-specific host range, unique carbohydrate active enzyme profile and large amount of putative virulence genes could explain the reasons behind the aggressive nature and increased virulence of this plant pathogen.\n\nThe draft genome sequences presented here will provide references for strains found in Hong Kong. Together with emerging research, this information could be used for genetic diversity and epidemiology research on a global scale as well as expediting our efforts towards discovering the mechanisms of pathogenicity of this devastating pathogen.

genomics↗