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ID 48960
File
language
eng
Attribute
Research Article
Author
Hie LimKim
Takeshi Igawa
Tasuku Nishioka
Satoko Kaneko
Yukako Katsura
Naoyuki Takahata
Yoko Satta
Description
We report the results of an extensive investigation of genomic structures in the human genome, with a particular focus on relatively large repeats (>50 kb) in adjacent chromosomal regions. We named such structures “Flowers” because the pattern observed on dot plots resembles a flower. We detected a total of 291 Flowers in the human genome. They were predominantly located in euchromatic regions. Flowers are gene-rich compared to the average gene density of the genome. Genes involved in systems receiving environmental information, such as immunity and detoxification, were overrepresented in Flowers. Within a Flower, the mean number of duplication units was approximately four. The maximum and minimum identities between homologs in a Flower showed different distributions; the maximum identity was often concentrated to 100% identity, while the minimum identity was evenly distributed in the range of 78% to 100%. Using a gene conversion detection test, we found frequent and/or recent gene conversion events within the tested Flowers. Interestingly, many of those converted regions contained protein-coding genes. Computer simulation studies suggest that one role of such frequent gene conversions is the elongation of the life span of gene families in a Flower by the resurrection of pseudogenes.
Journal Title
International Journal of Evolutionary Biology
Volume
2012
Start Page
1
End Page
11
ISSN
2356-6140
ISSN(Online)
1537-744X
Published Date
2012-01-19
DOI
Publisher
Hindawi Publishing Corporation
NII Type
Journal Article
Format
PDF
Rights
Copyright © 2012 Hie Lim Kim et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Text Version
出版社版
Gyoseki ID
e29713
OAI-PMH Set
Other
Remark
Article ID 917678