Unknown

Dataset Information

0

Large-scale suppression of recombination predates genomic rearrangements in Neurospora tetrasperma.


ABSTRACT: A common feature of eukaryote genomes is large chromosomal regions where recombination is absent or strongly reduced, but the factors that cause this reduction are not well understood. Genomic rearrangements have often been implicated, but they may also be a consequence of recombination suppression rather than a cause. In this study, we generate eight high-quality genomic data sets of the filamentous ascomycete Neurospora tetrasperma, a fungus that lacks recombination over most of its largest chromosome. The genomes surprisingly reveal collinearity of the non-recombining regions and although large inversions are enriched in these regions, we conclude these inversions to be derived and not the cause of the suppression. To our knowledge, this is the first time that non-recombining, genic regions as large as 86% of a full chromosome (or 8?Mbp), are shown to be collinear. These findings are of significant interest for our understanding of the evolution of sex chromosomes and other supergene complexes.

SUBMITTER: Sun Y 

PROVIDER: S-EPMC5658415 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature

altmetric image

Publications

Large-scale suppression of recombination predates genomic rearrangements in Neurospora tetrasperma.

Sun Yu Y   Svedberg Jesper J   Hiltunen Markus M   Corcoran Pádraic P   Johannesson Hanna H  

Nature communications 20171026 1


A common feature of eukaryote genomes is large chromosomal regions where recombination is absent or strongly reduced, but the factors that cause this reduction are not well understood. Genomic rearrangements have often been implicated, but they may also be a consequence of recombination suppression rather than a cause. In this study, we generate eight high-quality genomic data sets of the filamentous ascomycete Neurospora tetrasperma, a fungus that lacks recombination over most of its largest ch  ...[more]

Similar Datasets

| S-EPMC3406010 | biostudies-literature
| S-EPMC10817965 | biostudies-literature
| S-EPMC3182494 | biostudies-literature
| S-EPMC3127651 | biostudies-literature
| S-EPMC7156093 | biostudies-literature
| PRJNA65319 | ENA
| PRJNA257828 | ENA
| PRJNA768335 | ENA
| PRJNA239947 | ENA
| PRJNA398702 | ENA