Comparative genome analysis across a kingdom of eukaryotic organisms: Specialization and diversification in the Fungi

被引:76
作者
Cornell, Michael J.
Alam, Intikhab
Soanes, Darren M.
Wong, Han Min
Hedeler, Cornelia
Paton, Norman W.
Rattray, Magnus
Hubbard, Simon J.
Talbot, Nicholas J.
Oliver, Stephen G. [1 ]
机构
[1] Univ Manchester, Sch Comp Sci, Manchester M13 9PL, Lancs, England
[2] Univ Manchester, Fac Life Sci, Manchester M13 9PL, Lancs, England
[3] Univ Exeter, Dept Biosci, Exeter EX4 4QD, Devon, England
[4] Univ Cambridge, Dept Biochem, Cambridge CB2 1AGA, England
基金
英国生物技术与生命科学研究理事会;
关键词
D O I
10.1101/gr.6531807
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The recent proliferation of genome sequencing in diverse fungal species has provided the first opportunity for comparative genome analysis across a eukaryotic kingdom. Here, we report a comparative study of 34 complete fungal genome sequences, representing a broad diversity of Ascomycete, Basidiomycete, and Zygomycete species. We have clustered all predicted protein-encoding gene sequences from these species to provide a means of investigating gene innovations, gene family expansions, protein family diversification, and the conservation of essential gene functions-empirically determined in Saccharomyces cerevisiae-among the fungi. The results are presented with reference to a phylogeny of the 34 fungal species, based on 29 universally conserved protein-encoding gene sequences. We contrast this phylogeny with one based on gene presence and absence and show that, while the two phylogenies are largely in agreement, there are differences in the positioning of some species. We have investigated levels of gene duplication and demonstrate that this varies greatly between fungal species, although there are instances of coduplication in distantly related fungi. We have also investigated the extent of orthology for protein families and demonstrate unexpectedly high levels of diversity among genes involved in lipid metabolism. These analyses have been collated in the e-Fungi data warehouse, providing an online resource for comparative genomic analysis of the fungi.
引用
收藏
页码:1809 / 1822
页数:14
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