title: Identification and Sequencing of Candida krusei Aconitate Hydratase Gene Using Rapid Amplification of cDNA Ends Method and Phylogenetic Analysis.
abstract: BACKGROUND
  The production and development of an effective fungicidal drug requires the identification of an essential fungal protein as a drug target. Aconitase (ACO) is a mitochondrial protein that plays a vital role in tricarboxylic acid (TCA) cycle and thus production of energy within the cell.
  
  
  OBJECTIVE
  The current study aimed to sequence Candida krusei ACO gene and determine any amino acid residue differences between human and fungal aconitases to obtain selective inhibition.
  
  
  METHODS
  Candida krusei (ATCC: 6258) aconitase gene was determined by 5'Rapid Amplification of cDNA Ends (RACE) method and degenerate Polymerase Chain Reaction (PCR) and analyzed using bioinformatics softwares.
  
  
  RESULTS
  One thousand-four hundred-nineteen nucleotide of C. krusei aconitase gene were clarified and submitted in Genbank as a partial sequence and then taxonomic location of C. krusei was determined by nucleotide and amino acid sequences of this gene. The comparison of nucleotide and amino acid sequences of Candida species ACO genes showed that C. krusei possessed characteristic sequences. No significant differences were observed between C. krusei and human aconitases within the active site amino acid residues.
  
  
  CONCLUSIONS
  Results of the current study indicated that aconitase was not a suitable target to design new anti-fungal drugs that selectively block this enzyme.
authors: Department of Microbiology and Immunology, Faculty of Medicine, Qom University of Medical Sciences, Qom, IR Iran; Department of Medical Mycology and Parasitology, School of Public Health, Tehran University of Medical Sciences, Tehran, IR Iran.
authors: Roohollah
authors: R
authors: Fateh
authors: Department of Medical Mycology and Parasitology, School of Public Health, Tehran University of Medical Sciences, Tehran, IR Iran.
authors: Farideh
authors: F
authors: Zaini
authors: Department of Medical Mycology and Parasitology, School of Public Health, Tehran University of Medical Sciences, Tehran, IR Iran.
authors: Parivash
authors: P
authors: Kordbacheh
authors: Department of Medical Mycology and Parasitology, Faculty of Medicine, Iran University of Medical Sciences, Tehran, IR Iran.
authors: Mehraban
authors: M
authors: Falahati
authors: Department of Medical Mycology and Parasitology, School of Public Health, Tehran University of Medical Sciences, Tehran, IR Iran.
authors: Sasan
authors: S
authors: Rezaie
authors: Department of Medical Mycology and Parasitology, School of Public Health, Tehran University of Medical Sciences, Tehran, IR Iran.
authors: Roshanak
authors: R
authors: Daie Ghazvini
authors: Department of Parasitology, Pasteur Institute of Iran, Tehran, IR Iran.
authors: Nahid
authors: N
authors: Borhani
authors: Department of Medical Mycology and Parasitology, School of Public Health, Tehran University of Medical Sciences, Tehran, IR Iran.
authors: Mahin
authors: M
authors: Safara
authors: Department of Medical Mycology and Parasitology, School of Public Health, Tehran University of Medical Sciences, Tehran, IR Iran.
authors: Azam
authors: A
authors: Fattahi
authors: Department of Medical Mycology and Parasitology, School of Public Health, Tehran University of Medical Sciences, Tehran, IR Iran.
authors: Ali
authors: A
authors: Kanani
authors: Department of Medical Mycology and Parasitology, Faculty of Medicine, Iran University of Medical Sciences, Tehran, IR Iran.
authors: Shirin
authors: S
authors: Farahyar
authors: Department of Medical Genetics, Tehran University of Medical Sciences, Tehran, IR Iran.
authors: Manzar
authors: M
authors: Bolhassani
authors: Department of Medical Genetics, Tehran University of Medical Sciences, Tehran, IR Iran; Experimental Research Center, Tehran University of Medical Sciences, Tehran, IR Iran.
authors: Mansour
authors: M
authors: Heidari
keywords: 5’ RACE Method; Aconitate Hydratase; Candida krusei; Degenerate PCR; Phylogenetic Analysis