A genome tree of life for the fungi kingdom

Cited 118 time in scopus
Metadata Downloads
Title
A genome tree of life for the fungi kingdom
Author(s)
Jaejin Choi; S H Kim
Bibliographic Citation
Proceedings of National Academy of Sciences of United States of America, vol. 114, no. 35, pp. 9391-9396
Publication Year
2017
Abstract
Fungi belong to one of the largest and most diverse kingdoms of living organisms. The evolutionary kinship within a fungal population has so far been inferred mostly from the gene-information?based trees (“gene trees”), constructed commonly based on the degree of differences of proteins or DNA sequences of a small number of highly conserved genes common among the population by a multiple sequence alignment (MSA) method. Since each gene evolves under different evolutionary pressure and time scale, it has been known that one gene tree for a population may differ from other gene trees for the same population depending on the subjective selection of the genes. Within the last decade, a large number of whole-genome sequences of fungi have become publicly available, which represent, at present, the most fundamental and complete information about each fungal organism. This presents an opportunity to infer kinship among fungi using a whole-genome information-based tree (“genome tree”). The method we used allows comparison of whole-genome information without MSA, and is a variation of a computational algorithm developed to find semantic similarities or plagiarism in two books, where we represent whole-genomic information of an organism as a book of words without spaces. The genome tree reveals several significant and notable differences from the gene trees, and these differences invoke new discussions about alternative narratives for the evolution of some of the currently accepted fungal groups.
Keyword
Alignment-free methodDivergence treeFeature frequency profileFungal phylogenyProteome tree
ISSN
0027-8424
Publisher
Natl Acad Sciences
Full Text Link
http://dx.doi.org/10.1073/pnas.1711939114
Type
Article
Appears in Collections:
1. Journal Articles > Journal Articles
Files in This Item:
  • There are no files associated with this item.


Items in OpenAccess@KRIBB are protected by copyright, with all rights reserved, unless otherwise indicated.