Rapid divergence in expression between duplicate genes inferred from microarray data.
نویسندگان
چکیده
For more than 30 years, expression divergence has been considered as a major reason for retaining duplicated genes in a genome, but how often and how fast duplicate genes diverge in expression has not been studied at the genomic level. Using yeast microarray data, we show that expression divergence between duplicate genes is significantly correlated with their synonymous divergence (K(S)) and also with their nonsynonymous divergence (K(A)) if K(A) 80% for K(S) > 1.5. Only a small fraction of ancient gene pairs do not show expression divergence.
منابع مشابه
Divergence in the spatial pattern of gene expression between human duplicate genes.
Microarray gene expression data provide a wealth of information for elucidating the mode and tempo of molecular evolution. In the present study,we analyze the spatial expression pattern of human duplicate gene pairs by using oligonucleotide microarray data,and study the relationship between coding sequence divergence and expression divergence. First,we find a strong positive correlation between...
متن کاملExpression divergence between duplicate genes.
A general picture of the role of expression divergence in the evolution of duplicate genes is emerging, thanks to the availability of completely sequenced genomes and functional genomic data, such as microarray data. It is now clear that expression divergence, regulatory-motif divergence and coding-sequence divergence all increase with the age of duplicate genes, although their exact interrelat...
متن کاملExternal factors accelerate expression divergence between duplicate genes.
We examined the evolution of expression of duplicate genes in Arabidopsis thaliana, by analyzing 512 data sets of gene expression microarrays and 2022 recent duplicate gene pairs. Expression divergence between gene duplicates is significantly greater in response to environmental stress than to developmental processes. A slow rate of expression divergence during development might offer dosage-de...
متن کاملUncovering genetic regulatory network divergence between duplicate genes using yeast eQTL landscape.
Genetical genomics, a novel approach combining microarray technology and quantitative genetic analysis, aims to identify the expression quantitative trait loci (eQTLs), which may regulate the genome-wide expression pattern. In this article, we have studied yeast genomic eQTL data to investigate how the genetic eQTL regulation of ancestral gene has diverged since gene duplication. Our findings a...
متن کاملDiagnosis of Breast Cancer Subtypes using the Selection of Effective Genes from Microarray Data
Introduction: Early diagnosis of breast cancer and the identification of effective genes are important issues in the treatment and survival of the patients. Gene expression data obtained using DNA microarray in combination with machine learning algorithms can provide new and intelligent methods for diagnosis of breast cancer. Methods: Data on the expression of 9216 genes from 84 patients across...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Trends in genetics : TIG
دوره 18 12 شماره
صفحات -
تاریخ انتشار 2002