Literature DB >> 19754271

All human-specific gene losses are present in the genome as pseudogenes.

Daniel R Schrider1, James C Costello, Matthew W Hahn.   

Abstract

The loss of previously established genes has been proposed as a major force in evolutionary change. While genome sequencing of many new species offers the opportunity to identify cases of gene loss, it is unclear which algorithms offer the greatest accuracy or sensitivity. A number of methods to identify gene losses rely on the presence of a pseudogene for each loss. If genes are deleted when lost, however, such methods will fail to identify these cases. As the fate of gene losses is still unclear, we identified gene losses through a method that does not require pseudogenes to identify human-specific gene losses. Of the several hundred probable gene losses initially identified, we were unable to find a single case of unambiguous gene loss via deletion. We were also able to identify a large number of previously unannotated genes in the human genome, some of which also had evidence for transcription. Though our results suggest that pseudogene-based methods for finding gene losses in humans will not miss many events, we discuss the dependence of these conclusions on the divergence times among the species considered. Supplementary Material is provided (see online Supplementary Material at www.liebertonline.com ).

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Year:  2009        PMID: 19754271     DOI: 10.1089/cmb.2009.0085

Source DB:  PubMed          Journal:  J Comput Biol        ISSN: 1066-5277            Impact factor:   1.479


  10 in total

1.  Altered patterns of fractionation and exon deletions in Brassica rapa support a two-step model of paleohexaploidy.

Authors:  Haibao Tang; Margaret R Woodhouse; Feng Cheng; James C Schnable; Brent S Pedersen; Gavin Conant; Xiaowu Wang; Michael Freeling; J Chris Pires
Journal:  Genetics       Date:  2012-02-02       Impact factor: 4.562

2.  Olfaction written in bone: cribriform plate size parallels olfactory receptor gene repertoires in Mammalia.

Authors:  Deborah J Bird; William J Murphy; Lester Fox-Rosales; Iman Hamid; Robert A Eagle; Blaire Van Valkenburgh
Journal:  Proc Biol Sci       Date:  2018-03-14       Impact factor: 5.349

3.  Following tetraploidy in maize, a short deletion mechanism removed genes preferentially from one of the two homologs.

Authors:  Margaret R Woodhouse; James C Schnable; Brent S Pedersen; Eric Lyons; Damon Lisch; Shabarinath Subramaniam; Michael Freeling
Journal:  PLoS Biol       Date:  2010-06-29       Impact factor: 8.029

Review 4.  How old is my gene?

Authors:  John A Capra; Maureen Stolzer; Dannie Durand; Katherine S Pollard
Journal:  Trends Genet       Date:  2013-08-01       Impact factor: 11.639

Review 5.  Exploring the potential relevance of human-specific genes to complex disease.

Authors:  David N Cooper; Hildegard Kehrer-Sawatzki
Journal:  Hum Genomics       Date:  2011-01       Impact factor: 4.639

6.  Positionally biased gene loss after whole genome duplication: evidence from human, yeast, and plant.

Authors:  Takashi Makino; Aoife McLysaght
Journal:  Genome Res       Date:  2012-07-26       Impact factor: 9.043

7.  Identification and analysis of unitary loss of long-established protein-coding genes in Poaceae shows evidences for biased gene loss and putatively functional transcription of relics.

Authors:  Yi Zhao; Liang Tang; Zhe Li; Jinpu Jin; Jingchu Luo; Ge Gao
Journal:  BMC Evol Biol       Date:  2015-04-18       Impact factor: 3.260

8.  Extensive error in the number of genes inferred from draft genome assemblies.

Authors:  James F Denton; Jose Lugo-Martinez; Abraham E Tucker; Daniel R Schrider; Wesley C Warren; Matthew W Hahn
Journal:  PLoS Comput Biol       Date:  2014-12-04       Impact factor: 4.475

9.  The fate of Arabidopsis thaliana homeologous CNSs and their motifs in the Paleohexaploid Brassica rapa.

Authors:  Sabarinath Subramaniam; Xiaowu Wang; Michael Freeling; J Chris Pires
Journal:  Genome Biol Evol       Date:  2013       Impact factor: 3.416

10.  Inferring Selective Constraint from Population Genomic Data Suggests Recent Regulatory Turnover in the Human Brain.

Authors:  Daniel R Schrider; Andrew D Kern
Journal:  Genome Biol Evol       Date:  2015-11-19       Impact factor: 3.416

  10 in total

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