Braun Burkhard R, van Het Hoog Marco, d'Enfert Christophe, Martchenko Mikhail, Dungan Jan, Kuo Alan, Inglis Diane O, Uhl M Andrew, Hogues Hervé, Berriman Matthew, Lorenz Michael, Levitin Anastasia, Oberholzer Ursula, Bachewich Catherine, Harcus Doreen, Marcil Anne, Dignard Daniel, Iouk Tatiana, Zito Rosa, Frangeul Lionel, Tekaia Fredj, Rutherford Kim, Wang Edwin, Munro Carol A, Bates Steve, Gow Neil A, Hoyer Lois L, Köhler Gerwald, Morschhäuser Joachim, Newport George, Znaidi Sadri, Raymond Martine, Turcotte Bernard, Sherlock Gavin, Costanzo Maria, Ihmels Jan, Berman Judith, Sanglard Dominique, Agabian Nina, Mitchell Aaron P, Johnson Alexander D, Whiteway Malcolm, Nantel André
Department of Microbiology and Immunology, University of California, San Francisco, California, USA.
PLoS Genet. 2005 Jul;1(1):36-57. doi: 10.1371/journal.pgen.0010001. Epub 2005 Jun 17.
Recent sequencing and assembly of the genome for the fungal pathogen Candida albicans used simple automated procedures for the identification of putative genes. We have reviewed the entire assembly, both by hand and with additional bioinformatic resources, to accurately map and describe 6,354 genes and to identify 246 genes whose original database entries contained sequencing errors (or possibly mutations) that affect their reading frame. Comparison with other fungal genomes permitted the identification of numerous fungus-specific genes that might be targeted for antifungal therapy. We also observed that, compared to other fungi, the protein-coding sequences in the C. albicans genome are especially rich in short sequence repeats. Finally, our improved annotation permitted a detailed analysis of several multigene families, and comparative genomic studies showed that C. albicans has a far greater catabolic range, encoding respiratory Complex 1, several novel oxidoreductases and ketone body degrading enzymes, malonyl-CoA and enoyl-CoA carriers, several novel amino acid degrading enzymes, a variety of secreted catabolic lipases and proteases, and numerous transporters to assimilate the resulting nutrients. The results of these efforts will ensure that the Candida research community has uniform and comprehensive genomic information for medical research as well as for future diagnostic and therapeutic applications.
近期,白色念珠菌这种真菌病原体的基因组测序和组装工作采用了简单的自动化程序来识别推定基因。我们已通过人工及借助其他生物信息资源对整个组装结果进行了审查,以准确绘制并描述6354个基因,同时识别出246个基因,其原始数据库条目存在影响其阅读框的测序错误(或可能的突变)。与其他真菌基因组进行比较,使得我们能够识别出众多可能成为抗真菌治疗靶点的真菌特异性基因。我们还观察到,与其他真菌相比,白色念珠菌基因组中的蛋白质编码序列特别富含短序列重复。最后,我们改进后的注释使得对几个多基因家族进行详细分析成为可能,比较基因组研究表明,白色念珠菌具有更广泛的分解代谢范围,它编码呼吸复合体1、几种新型氧化还原酶和酮体降解酶、丙二酰辅酶A和烯酰辅酶A载体、几种新型氨基酸降解酶、多种分泌性分解代谢脂肪酶和蛋白酶,以及众多用于吸收所产生营养物质的转运蛋白。这些工作成果将确保念珠菌研究群体拥有统一且全面的基因组信息,用于医学研究以及未来的诊断和治疗应用。