Literature DB >> 12651866

Comparison of the genomes of human and mouse lays the foundation of genome zoology.

Richard D Emes1, Leo Goodstadt, Eitan E Winter, Chris P Ponting.   

Abstract

The extensive similarities between the genomes of human and model organisms are the foundation of much of modern biology, with model organism experimentation permitting valuable insights into biological function and the aetiology of human disease. In contrast, differences among genomes have received less attention. Yet these can be expected to govern the physiological and morphological distinctions apparent among species, especially if such differences are the result of evolutionary adaptation. A recent comparison of the draft sequences of mouse and human genomes has shed light on the selective forces that have predominated in their recent evolutionary histories. In particular, mouse-specific clusters of homologues associated with roles in reproduction, immunity and host defence appear to be under diversifying positive selective pressure, as indicated by high ratios of non-synonymous to synonymous substitution rates. These clusters are also frequently punctuated by homologous pseudogenes. They thus have experienced numerous gene death, as well as gene birth, events. These regions appear, therefore, to have borne the brunt of adaptive evolution that underlies physiological and behavioural innovation in mice. We predict that the availability of numerous animal genomes will give rise to a new field of genome zoology in which differences in animal physiology and ethology are illuminated by the study of genomic sequence variations.

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Year:  2003        PMID: 12651866     DOI: 10.1093/hmg/ddg078

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  71 in total

1.  A genomic analysis of rat proteases and protease inhibitors.

Authors:  Xose S Puente; Carlos López-Otín
Journal:  Genome Res       Date:  2004-04       Impact factor: 9.043

2.  Evolution and comparative genomics of odorant- and pheromone-associated genes in rodents.

Authors:  Richard D Emes; Scott A Beatson; Chris P Ponting; Leo Goodstadt
Journal:  Genome Res       Date:  2004-04       Impact factor: 9.043

3.  Divergence of spatial gene expression profiles following species-specific gene duplications in human and mouse.

Authors:  Lukasz Huminiecki; Kenneth H Wolfe
Journal:  Genome Res       Date:  2004-10       Impact factor: 9.043

Review 4.  Origins, evolution, and phenotypic impact of new genes.

Authors:  Henrik Kaessmann
Journal:  Genome Res       Date:  2010-07-22       Impact factor: 9.043

Review 5.  The animal in the genome: comparative genomics and evolution.

Authors:  Richard R Copley
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2008-04-27       Impact factor: 6.237

6.  Reduced purifying selection prevails over positive selection in human copy number variant evolution.

Authors:  Duc-Quang Nguyen; Caleb Webber; Jayne Hehir-Kwa; Rolph Pfundt; Joris Veltman; Chris P Ponting
Journal:  Genome Res       Date:  2008-08-07       Impact factor: 9.043

7.  Evolutionary rate analyses of orthologs and paralogs from 12 Drosophila genomes.

Authors:  Andreas Heger; Chris P Ponting
Journal:  Genome Res       Date:  2007-11-07       Impact factor: 9.043

8.  Comparative genomic hybridizations of Entamoeba strains reveal unique genetic fingerprints that correlate with virulence.

Authors:  Preetam H Shah; Ryan C MacFarlane; Dhruva Bhattacharya; John C Matese; Janos Demeter; Suzanne E Stroup; Upinder Singh
Journal:  Eukaryot Cell       Date:  2005-03

9.  Comparative evolutionary genomics of androgen-binding protein genes.

Authors:  Richard D Emes; Matthew C Riley; Christina M Laukaitis; Leo Goodstadt; Robert C Karn; Chris P Ponting
Journal:  Genome Res       Date:  2004-07-15       Impact factor: 9.043

10.  The HR97 (NR1L) group of nuclear receptors: a new group of nuclear receptors discovered in Daphnia species.

Authors:  Yangchun Li; Gautam K Ginjupalli; William S Baldwin
Journal:  Gen Comp Endocrinol       Date:  2014-08-01       Impact factor: 2.822

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