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Extensive sequence turnover of the signal peptides of members of the GDF/BMP family: exploring their evolutionary landscape

Overview of attention for article published in Biology Direct, July 2009
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Title
Extensive sequence turnover of the signal peptides of members of the GDF/BMP family: exploring their evolutionary landscape
Published in
Biology Direct, July 2009
DOI 10.1186/1745-6150-4-22
Pubmed ID
Authors

Reiner A Veitia, Sandrine Caburet

Abstract

We show that the predicted signal peptide (SP) sequences of the secreted factors GDF9, BMP15 and AMH are well conserved in mammals but dramatic divergence is noticed for more distant orthologs. Interestingly, bioinformatic predictions show that the divergent protein segments do encode SPs. Thus, such SPs have undergone extensive sequence turnover with full preservation of functionality. This can be explained by a pervasive accumulation of neutral and compensatory mutations. An exploration of the potential evolutionary landscape of some SPs is presented. Some of these signal sequences highlight an apparent paradox: they are encoded, by definition, by orthologous DNA segments but they are, given their striking divergence, examples of what can be called functional convergence.Reviewers:This article was reviewed by Fyodor Kondrashov and Eugene V. Koonin.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 7%
Unknown 14 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 27%
Researcher 4 27%
Student > Doctoral Student 3 20%
Lecturer 1 7%
Professor > Associate Professor 1 7%
Other 0 0%
Unknown 2 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 53%
Biochemistry, Genetics and Molecular Biology 2 13%
Chemical Engineering 1 7%
Veterinary Science and Veterinary Medicine 1 7%
Medicine and Dentistry 1 7%
Other 0 0%
Unknown 2 13%