The evolutionary dynamics of eukaryotic gene order

Hurst, Laurence D.; Pál, Csaba; Lercher, Martin J.

doi:10.1038/nrg1319

Cited by 674 publications

(675 citation statements)

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“…Previous studies indicate that, in both bacterial and eukaryotic genomes, the locations of genes are not necessarily random 30 there are examples of gene clusters encoding proteins that are involved in the production of secondary metabolites, including NRPS/PKS pathways, or in the oxidation of substrates, for example the cytochrome P450 genes in Phanerochaete chrysosporium 31 . In several Clostridium species, there is an intriguing parallel to the T. reesei CAZyme clusters in that the genes of the cellulosome complex encoding GH enzymes needed for cellulose and hemicellulose degradation are also clustered 32 .…”

Section: As Compared With the Fungi Listed Inmentioning

confidence: 99%

Genome sequencing and analysis of the biomass-degrading fungus Trichoderma reesei (syn. Hypocrea jecorina)

et al. 2008

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Section: As Compared With the Fungi Listed Inmentioning

confidence: 99%

Genome sequencing and analysis of the biomass-degrading fungus Trichoderma reesei (syn. Hypocrea jecorina)

et al. 2008

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“…It should not be used in cases where the recombination itself is the subject of studies like in the case of hybrydogenesis (Som and Reyer, 2006), or sexual reproduction of diploid organisms (Redfield, 1994). In the natural genomes, the series of genes are placed close to each other on the same chromosome and the probability of recombination between them is very limited (Daly et al, 2001;Greenwood et al, 2004;Hurst et al, 2004). Therefore the best representation of the Mendel law of independent assortment could be obtained for genes placed on different chromosomes.…”

Section: Introductionmentioning

confidence: 99%

Genome analyses and modelling the relationships between coding density, recombination rate and chromosome length

Mackiewicz¹,

Zawierta²,

Waga³

et al. 2010

Journal of Theoretical Biology

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This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting galley proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. To whom correspondence should be addressed. E-mail: dorota@smorfland.uni.wroc.pl AbstractIn the human genomes, recombination frequency between homologous chromosomes during meiosis is highly correlated with their physical length while it differs significantly when their coding density is considered. Furthermore, it has been observed that the recombination events are distributed unevenly along the chromosomes. We have found that many of such recombination properties can be predicted by computer simulations of population evolution based on the Monte Carlo methods. For example, these simulations have shown that the probability of acceptance of the recombination events by selection is higher at the ends of chromosomes and lower in their middle parts. The regions of high coding density are more prone to enter the strategy of haplotype complementation and to form clusters of genes which are "recombination deserts". The phenomenon of switching in-between the purifying selection and haplotype complementation has a phase transition character, and many relations between the effective population size, coding density, chromosome size and recombination frequency are those of the power law type.2

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“…There is increasing evidence that gene order in eukaryotic genomes is not random [1]. Why might this be?…”

Section: Introductionmentioning

confidence: 99%

Is optimal gene order impossible?

Poyatos

Hurst

2006

Trends in Genetics

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The evolutionary dynamics of eukaryotic gene order

Cited by 674 publications

References 116 publications

Genome sequencing and analysis of the biomass-degrading fungus Trichoderma reesei (syn. Hypocrea jecorina)

Genome sequencing and analysis of the biomass-degrading fungus Trichoderma reesei (syn. Hypocrea jecorina)

Genome analyses and modelling the relationships between coding density, recombination rate and chromosome length

Is optimal gene order impossible?

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