ArticleBMC evolutionary biology2010
Expression breadth and expression abundance behave differently in correlations with evolutionary rates.
Article in BMC evolutionary biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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42 citing papers in PubMed, 63 citations in OpenAlex.
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- Expression inheritance and constraints on cis- and trans-regulatory mutations underlying lotus color variation.Plant physiology · 2023Article
- Supergene evolution via stepwise duplications and neofunctionalization of a floral-organ identity gene.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
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- Contrasting patterns of molecular evolution in metazoan germ line genes.BMC evolutionary biology · 2019Article
- Correlates of evolutionary rates in the murine sperm proteome.BMC evolutionary biology · 2018Article
- Genes Integral to the Reproductive Function of Male Reproductive Tissues Drive Heterogeneity in Evolutionary Rates in Japanese Quail.G3 (Bethesda, Md.) · 2018Article
- A benchmark of gene expression tissue-specificity metrics.Briefings in bioinformatics · 2017Article
- Secreted Proteins Defy the Expression Level-Evolutionary Rate Anticorrelation.Molecular biology and evolution · 2017Article
- Systematic Analyses and Prediction of Human Drug Side Effect Associated Proteins from the Perspective of Protein Evolution.Genome biology and evolution · 2017Article
- Unveiling the Impact of the Genomic Architecture on the Evolution of Vertebrate microRNAs.Frontiers in genetics · 2017Review
- Population transcriptomics uncovers the regulation of gene expression variation in adaptation to changing environment.Scientific reports · 2016Article
- Multicopy gene family evolution on primate Y chromosomes.BMC genomics · 2016Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOne of the main objectives of the molecular evolution and evolutionary systems biology field is to reveal the underlying principles that dictate protein evolutionary rates. Several studies argue that expression abundance is the most critical component in determining the rate of evolution, especially in unicellular organisms. However, the expression breadth also needs to be considered for multicellular organisms.
resultsIn the present paper, we analyzed the relationship between the two expression variables and rates using two different genome-scale expression datasets, microarrays and ESTs. A significant positive correlation between the expression abundance (EA) and expression breadth (EB) was revealed by Kendall's rank correlation tests. A novel random shuffling approach was applied for EA and EB to compare the correlation coefficients obtained from real data sets to those estimated based on random chance. A novel method called a Fixed Group Analysis (FGA) was designed and applied to investigate the correlations between expression variables and rates when one of the two expression variables was evenly fixed.
conclusionsIn conclusion, all of these analyses and tests consistently showed that the breadth rather than the abundance of gene expression is tightly linked with the evolutionary rate in multicellular organisms.
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