Abstract
Organismal complexity broadly relates to the number of different cell types within an organ- ism and generally increases across a phylogeny. Whilst gene expression will underpin organismal complexity, it has long been clear that a simple count of gene number is not a sufficient explanation. In this paper, we use open-access information from the Ensembl databases to quantify the functional diversity of human genes that are broadly involved in transcription. Functional diversity is described in terms of the numbers of paralogues, pro- tein isoforms and structural domains for each gene. The change in functional diversity is then calculated for up to nine orthologues from the nematode worm to human and correlated to the change in cell-type number. Those with the highest correlation are subject to gene ontology term enrichment and interaction analyses. We found that a range of genes that encode proteins associated with dynamic changes to chromatin are good candidates to con- tribute to organismal complexity.
Original language | English |
---|---|
Article number | e0185409 |
Number of pages | 16 |
Journal | PLoS One |
Volume | 12 |
Issue number | 9 |
DOIs | |
Publication status | Published - 25 Sept 2017 |
Keywords
- algorithms
- animals
- chromatin/genetics
- databases, genetic
- gene expression
- gene ontology
- gene regulatory networks
- genetic variation
- humans
- models, genetic
- phylogeny
- proteins/genetics
- transcription, genetic
Fingerprint
Dive into the research topics of 'Relating protein functional diversity to cell type number identifies genes that determine dynamic aspects of chromatin organisation as potential contributors to organismal complexity'. Together they form a unique fingerprint.Press/Media
-
Genes that determine animal complexity found
29/09/17 → 30/10/17
13 items of Media coverage
Press/Media: Research cited