Distinct chromosomal “niches” in the genome of Saccharomyces cerevisiae provide the background for genomic innovation and shape the fate of gene duplicates

Author:

Stavropoulou Athanasia12,Tassios Emilios12,Kalyva Maria3,Georgoulopoulos Michalis4,Vakirlis Nikolaos2,Iliopoulos Ioannis1,Nikolaou Christoforos24ORCID

Affiliation:

1. Medical School, University of Crete , Heraklion  70013, Greece

2. Computational Genomics Group, Biomedical Sciences Research Center “Alexander Fleming” , Athens  16672, Greece

3. European Bioinformatics Institute, EMBL-EBI, Wellcome Genome Campus , Hinxton, Cambridgeshire, CB10 1SD, UK

4. Hellenic Open University , Patras 26335, Greece

Abstract

Abstract Nearly one third of Saccharomyces cerevisiae protein coding sequences correspond to duplicate genes, equally split between small-scale duplicates (SSD) and whole-genome duplicates (WGD). While duplicate genes have distinct properties compared to singletons, to date, there has been no systematic analysis of their positional preferences. In this work, we show that SSD and WGD genes are organized in distinct gene clusters that occupy different genomic regions, with SSD being more peripheral and WGD more centrally positioned close to centromeric chromatin. Duplicate gene clusters differ from the rest of the genome in terms of gene size and spacing, gene expression variability and regulatory complexity, properties that are also shared by singleton genes residing within them. Singletons within duplicate gene clusters have longer promoters, more complex structure and a higher number of protein–protein interactions. Particular chromatin architectures appear to be important for gene evolution, as we find SSD gene-pair co-expression to be strongly associated with the similarity of nucleosome positioning patterns. We propose that specific regions of the yeast genome provide a favourable environment for the generation and maintenance of small-scale gene duplicates, segregating them from WGD-enriched genomic domains. Our findings provide a valuable framework linking genomic innovation with positional genomic preferences.

Funder

BSRC

Greek State Scholarships Foundation

Greece and the European Union

FONDATION SANTE

Publisher

Oxford University Press (OUP)

Subject

Applied Mathematics,Computer Science Applications,Genetics,Molecular Biology,Structural Biology

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