Species and condition specific adaptation of the transcriptional landscapes in Candida albicans and Candida dubliniensis

BMC Genomics. 2013 Apr 2:14:212. doi: 10.1186/1471-2164-14-212.

Abstract

Background: Although Candida albicans and Candida dubliniensis are most closely related, both species behave significantly different with respect to morphogenesis and virulence. In order to gain further insight into the divergent routes for morphogenetic adaptation in both species, we investigated qualitative along with quantitative differences in the transcriptomes of both organisms by cDNA deep sequencing.

Results: Following genome-associated assembly of sequence reads we were able to generate experimentally verified databases containing 6016 and 5972 genes for C. albicans and C. dubliniensis, respectively. About 95% of the transcriptionally active regions (TARs) contain open reading frames while the remaining TARs most likely represent non-coding RNAs. Comparison of our annotations with publically available gene models for C. albicans and C. dubliniensis confirmed approximately 95% of already predicted genes, but also revealed so far unknown novel TARs in both species. Qualitative cross-species analysis of these databases revealed in addition to 5802 orthologs also 399 and 49 species-specific protein coding genes for C. albicans and C. dubliniensis, respectively. Furthermore, quantitative transcriptional profiling using RNA-Seq revealed significant differences in the expression of orthologs across both species. We defined a core subset of 84 hyphal-specific genes required for both species, as well as a set of 42 genes that seem to be specifically induced during hyphal morphogenesis in C. albicans.

Conclusions: Species-specific adaptation in C. albicans and C. dubliniensis is governed by individual genetic repertoires but also by altered regulation of conserved orthologs on the transcriptional level.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Candida / genetics*
  • Candida albicans / genetics*
  • Databases, Genetic
  • Gene Expression Regulation, Fungal
  • Gene Library
  • Genome, Fungal*
  • High-Throughput Nucleotide Sequencing
  • Open Reading Frames
  • Sequence Analysis, RNA
  • Transcriptome*

Associated data

  • GEO/GSE41749