Evidence map›Paper›PMID 18179715›Full record

ArticleBMC evolutionary biology2008

Coordinated evolution of co-expressed gene clusters in the Drosophila transcriptome.

Jason G Mezey, Sergey V Nuzhdin, Fangfei Ye, Corbin D Jones

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Article in BMC evolutionary biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

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24citing papers in PubMed
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3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jason G MezeyDepartment of Biological Statistics and Computational Biology, Cornell University, Ithaca, NY 14853, USA. jgm45@cornell.edu
Sergey V Nuzhdin
Fangfei Ye
Corbin D Jones

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCo-expression of genes that physically cluster together is a common characteristic of eukaryotic transcriptomes. This organization of transcriptomes suggests that coordinated evolution of gene expression for clustered genes may also be common. Clusters where expression evolution of each gene is not independent of their neighbors are important units for understanding transcriptome evolution.

resultsWe used a common microarray platform to measure gene expression in seven closely related species in the Drosophila melanogaster subgroup, accounting for confounding effects of sequence divergence. To summarize the correlation structure among genes in a chromosomal region, we analyzed the fraction of variation along the first principal component of the correlation matrix. We analyzed the correlation for blocks of consecutive genes to assess patterns of correlation that may be manifest at different scales of coordinated expression. We find that expression of physically clustered genes does evolve in a coordinated manner in many locations throughout the genome. Our analysis shows that relatively few of these clusters are near heterochromatin regions and that these clusters tend to be over-dispersed relative to the rest of the genome. This suggests that these clusters are not the byproduct of local gene clustering. We also analyzed the pattern of co-expression among neighboring genes within a single Drosophila species: D. simulans. For the co-expression clusters identified within this species, we find an under-representation of genes displaying a signature of recurrent adaptive amino acid evolution consistent with previous findings. However, clusters displaying co-evolution of expression among species are enriched for adaptively evolving genes. This finding points to a tie between adaptive sequence evolution and evolution of the transcriptome.

conclusionOur results demonstrate that co-evolution of expression in gene clusters is relatively common among species in the D. melanogaster subgroup. We consider the possibility that local regulation of expression in gene clusters may drive the connection between adaptive sequence and coordinated gene expression evolution.

Indexed as

Evolution, MolecularGene Expression ProfilingGenes, InsectMultigene FamilyAnimalsChromosome MappingDrosophila melanogasterGene Expression RegulationGenetic SpeciationOligonucleotide Array Sequence Analysis

Identifiers

PMID18179715
PMCPMC2266709

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.