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Comparative transcriptomic analysis of fungi Group Nicotiana Daan van Vliet, Dou Hu, Joost de Jong,...

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Comparative transcripto mic analysis of fungi Group Nicotiana Daan van Vliet, Dou Hu, Joost de Jong, Krista Kokki
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Page 1: Comparative transcriptomic analysis of fungi Group Nicotiana Daan van Vliet, Dou Hu, Joost de Jong, Krista Kokki.

Comparative transcriptomic

analysis of fungi

Group NicotianaDaan van Vliet, Dou Hu, Joost de Jong, Krista Kokki

Page 2: Comparative transcriptomic analysis of fungi Group Nicotiana Daan van Vliet, Dou Hu, Joost de Jong, Krista Kokki.

Research objective

To study differences in gene expression in related fungus species

Studies species:- Reference genome- RNA reads > 100 bp- Preferably: Paired-end- Related species - Similar conditions

Page 3: Comparative transcriptomic analysis of fungi Group Nicotiana Daan van Vliet, Dou Hu, Joost de Jong, Krista Kokki.

Comparison

Comparison between different species- Saccharomyces cerevisiae (yeast)- Komogataella pastoris (Pichia, yeast)- Aspergillus oryzae (fungus)

Page 4: Comparative transcriptomic analysis of fungi Group Nicotiana Daan van Vliet, Dou Hu, Joost de Jong, Krista Kokki.

Methods – Data [Daan]

RNA-seq: SRAGenome and annotation: Ensembl FungiRead quality analysis performed with FastQC

Page 5: Comparative transcriptomic analysis of fungi Group Nicotiana Daan van Vliet, Dou Hu, Joost de Jong, Krista Kokki.

Methods - Data processing

Cleaning reads: SolexaQA Mapping reads: TopHatAssembly/Quantification: CufflinksOptional replicate assembly: CuffmergeExtracting transcript seqs: gffreadSelection of top 100 genes: Linux

Page 6: Comparative transcriptomic analysis of fungi Group Nicotiana Daan van Vliet, Dou Hu, Joost de Jong, Krista Kokki.

Methods – Gene properties

Property Explanation Tool (input datafile)

Expression Count of mapped reads Perl script (fasta)

Length Count of base pairs of whole gene Perl script (fasta)

Intron length Count of base pairs within introns Perl script (gtf)

GC content GC count/Length Perl script (fasta)

Nc Ratio: 20-61; 20 = one codon per amino acid; 61: random codon use

CodonW (fasta)

CG3s GC content of 3RD synonymous codon position

CodonW (fasta)

Page 7: Comparative transcriptomic analysis of fungi Group Nicotiana Daan van Vliet, Dou Hu, Joost de Jong, Krista Kokki.

Methods – Interaction

Top 100 genes were mapped to the interactome file and visualised through Cytoscape.

Page 8: Comparative transcriptomic analysis of fungi Group Nicotiana Daan van Vliet, Dou Hu, Joost de Jong, Krista Kokki.

Hypothesis for yeast - Validation

• GC-content correlates positively with gene length.

• Negative correlation with gene length and degree of codon bias.

• Codon bias is more extreme in highly expressed genes.

• Genes with longer introns show higher bias in codon usage.

• The overall codon usage matches the known bias.

Page 9: Comparative transcriptomic analysis of fungi Group Nicotiana Daan van Vliet, Dou Hu, Joost de Jong, Krista Kokki.

GO-terms and gene locationsGOBPID Pvalue OddsRatio ExpCount Count Size Term

1GO:0002181 3.58E-97 54.125 6.305508 95 171cytoplasmic translation

2GO:0044238 1.80E-14 3.670035 51.04701 96 1319primary metabolic process

3GO:0071843 2.06E-12 3.421344 21.49811 57 587cellular component biogenesis at cellular level

4GO:0006407 7.92E-12 37.62835 0.700612 11 19rRNA export from nucleus

5GO:0070925 4.44E-11 8.76313 2.949945 19 80organelle assembly

Chromosome I II III IV V VI VII VIII IX X XI XII XII XIV XV XVINro. of genes 3 15 5 46 5 16 14 5 0 11 12 37 17 11 1 2

The top 5 most over-represented GO-terms for all the found genes

The chromosomes the genes are found in.

Page 10: Comparative transcriptomic analysis of fungi Group Nicotiana Daan van Vliet, Dou Hu, Joost de Jong, Krista Kokki.

Results – CorrelationsGene expression vs. Gene length

Saccharomyces cerevisiae Aspergillus oryzae Komogataella pastoris

Page 11: Comparative transcriptomic analysis of fungi Group Nicotiana Daan van Vliet, Dou Hu, Joost de Jong, Krista Kokki.

Results – CorrelationsGene expression vs. Intron length

Saccharomyces cerevisiae Aspergillus oryzae Komogataella pastoris

Page 12: Comparative transcriptomic analysis of fungi Group Nicotiana Daan van Vliet, Dou Hu, Joost de Jong, Krista Kokki.

Results – CorrelationsGene expression vs. Effective Nr of codons

Saccharomyces cerevisiae Aspergillus oryzae Komogataella pastoris

Page 13: Comparative transcriptomic analysis of fungi Group Nicotiana Daan van Vliet, Dou Hu, Joost de Jong, Krista Kokki.

Results – CorrelationsEffective Nr of Codons vs. GC-cont. 3rd pos.

Saccharomyces cerevisiae Aspergillus oryzae Komogataella pastoris

Page 14: Comparative transcriptomic analysis of fungi Group Nicotiana Daan van Vliet, Dou Hu, Joost de Jong, Krista Kokki.

Results – CorrelationsGene length vs. Effective Nr of Codons

Saccharomyces cerevisiae Aspergillus oryzae Komogataella pastoris

Page 15: Comparative transcriptomic analysis of fungi Group Nicotiana Daan van Vliet, Dou Hu, Joost de Jong, Krista Kokki.

Results – CorrelationsGene length vs. GC-content

Saccharomyces cerevisiae Aspergillus oryzae Komogataella pastoris

Page 16: Comparative transcriptomic analysis of fungi Group Nicotiana Daan van Vliet, Dou Hu, Joost de Jong, Krista Kokki.

Results – CorrelationsGene length vs. Intron length

Saccharomyces cerevisiae Aspergillus oryzae Komogataella pastoris

Page 17: Comparative transcriptomic analysis of fungi Group Nicotiana Daan van Vliet, Dou Hu, Joost de Jong, Krista Kokki.

Results – CorrelationsIntron length vs. Nc

Saccharomyces cerevisiae Aspergillus oryzae Komogataella pastoris

Page 18: Comparative transcriptomic analysis of fungi Group Nicotiana Daan van Vliet, Dou Hu, Joost de Jong, Krista Kokki.

Results – CorrelationsOverall:- Within species:

Few correlations between gene properties- Between species:

Different patterns(?)

Page 19: Comparative transcriptomic analysis of fungi Group Nicotiana Daan van Vliet, Dou Hu, Joost de Jong, Krista Kokki.

Cytoscape

• GO terms

Top100 genes show different interactive network in GO terms

Page 20: Comparative transcriptomic analysis of fungi Group Nicotiana Daan van Vliet, Dou Hu, Joost de Jong, Krista Kokki.

Results - First choice

Yeast Interactome Project for S. cerevisiae•high-throughput yeast two-hybrid (Y2H) provides high-quality binary interaction information. •high-throughput Y2H dataset covering ~20% of all yeast binary interactions. •This binary map is enriched for transient signalling interactions and inter-complex connections with a highly significant clustering between essential proteins.

Page 21: Comparative transcriptomic analysis of fungi Group Nicotiana Daan van Vliet, Dou Hu, Joost de Jong, Krista Kokki.

Database choosing

• interactions from CCSB-YI1 1,809 interactions among 1,278 proteins

Page 22: Comparative transcriptomic analysis of fungi Group Nicotiana Daan van Vliet, Dou Hu, Joost de Jong, Krista Kokki.

Second choiceYeastNet v. 2•a probabilistic functional gene network of yeast genes, constructed from ~1.8 million expermental observations from DNA microarrays, physical protein interactions, genetic interactions, literature, and comparative genomics methods.• In total, YeastNet v.2 covers 102,803 linkages among 5,483 yeast proteins •a modified Bayesian integration of diverse data types, with each data type weighted according to how well it links genes that are known to share functions. (LLS)

Page 23: Comparative transcriptomic analysis of fungi Group Nicotiana Daan van Vliet, Dou Hu, Joost de Jong, Krista Kokki.

Database choosing

• All the top 100 genes could find interactors in the Yeastnet v.2.

• We could find 9896 possibilities among 102,803 linkages

Page 24: Comparative transcriptomic analysis of fungi Group Nicotiana Daan van Vliet, Dou Hu, Joost de Jong, Krista Kokki.

The end

Questions?

Page 25: Comparative transcriptomic analysis of fungi Group Nicotiana Daan van Vliet, Dou Hu, Joost de Jong, Krista Kokki.

Results – CorrelationsGene expression vs. CG content

Saccharomyces cerevisiae Aspergillus oryzae Komogataella pastoris


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