Unknown

Dataset Information

0

Quantitative Approach to Fish Cytogenetics in the Context of Vertebrate Genome Evolution.


ABSTRACT: Our novel Python-based tool EVANGELIST allows the visualization of GC and repeats percentages along chromosomes in sequenced genomes and has enabled us to perform quantitative large-scale analyses on the chromosome level in fish and other vertebrates. This is a different approach from the prevailing analyses, i.e., analyses of GC% in the coding sequences that make up not more than 2% in human. We identified GC content (GC%) elevations in microchromosomes in ancient fish lineages similar to avian microchromosomes and a large variability in the relationship between the chromosome size and their GC% across fish lineages. This raises the question as to what extent does the chromosome size drive GC% as posited by the currently accepted explanation based on the recombination rate. We ascribe the differences found across fishes to varying GC% of repetitive sequences. Generally, our results suggest that the GC% of repeats and proportion of repeats are independent of the chromosome size. This leaves an open space for another mechanism driving the GC evolution in vertebrates.

SUBMITTER: Boruvkova V 

PROVIDER: S-EPMC7926999 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

altmetric image

Publications

Quantitative Approach to Fish Cytogenetics in the Context of Vertebrate Genome Evolution.

Borůvková Veronika V   Howell W Mike WM   Matoulek Dominik D   Symonová Radka R  

Genes 20210222 2


Our novel Python-based tool EVANGELIST allows the visualization of GC and repeats percentages along chromosomes in sequenced genomes and has enabled us to perform quantitative large-scale analyses on the chromosome level in fish and other vertebrates. This is a different approach from the prevailing analyses, i.e., analyses of GC% in the coding sequences that make up not more than 2% in human. We identified GC content (GC%) elevations in microchromosomes in ancient fish lineages similar to avian  ...[more]

Similar Datasets

| S-EPMC4546756 | biostudies-other
| S-EPMC2600815 | biostudies-literature
| S-EPMC6660938 | biostudies-literature
| S-EPMC5766589 | biostudies-literature
| S-EPMC4090809 | biostudies-literature
| S-BSST199 | biostudies-other
| S-EPMC6293640 | biostudies-literature
| S-EPMC6193309 | biostudies-literature
| S-EPMC7835784 | biostudies-literature
| S-EPMC359656 | biostudies-other