Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
Add more filters










Database
Language
Publication year range
1.
Genes (Basel) ; 12(2)2021 02 22.
Article in English | MEDLINE | ID: mdl-33671814

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.


Subject(s)
Cytogenetics , Evolution, Molecular , Fishes/genetics , Vertebrates/genetics , Animals , Base Composition/genetics , Birds/classification , Birds/genetics , Chromosomes/genetics , Fishes/classification , Genome/genetics , Recombination, Genetic/genetics , Repetitive Sequences, Nucleic Acid , Vertebrates/classification
2.
Genes (Basel) ; 12(1)2020 12 31.
Article in English | MEDLINE | ID: mdl-33396302

ABSTRACT

The study of fish cytogenetics has been impeded by the inability to produce G-bands that could assign chromosomes to their homologous pairs. Thus, the majority of karyotypes published have been estimated based on morphological similarities of chromosomes. The reason why chromosome G-banding does not work in fish remains elusive. However, the recent increase in the number of fish genomes assembled to the chromosome level provides a way to analyse this issue. We have developed a Python tool to visualize and quantify GC percentage (GC%) of both repeats and unique DNA along chromosomes using a non-overlapping sliding window approach. Our tool profiles GC% and simultaneously plots the proportion of repeats (rep%) in a color scale (or vice versa). Hence, it is possible to assess the contribution of repeats to the total GC%. The main differences are the GC% of repeats homogenizing the overall GC% along fish chromosomes and a greater range of GC% scattered along fish chromosomes. This may explain the inability to produce G-banding in fish. We also show an occasional banding pattern along the chromosomes in some fish that probably cannot be detected with traditional qualitative cytogenetic methods.


Subject(s)
Base Composition , Chromosome Mapping/methods , Fishes/genetics , Genome , Karyotyping/methods , Software , Animals , Cats , Chromosome Banding , Chromosome Mapping/statistics & numerical data , Fishes/classification , Gorilla gorilla/classification , Gorilla gorilla/genetics , Tandem Repeat Sequences
SELECTION OF CITATIONS
SEARCH DETAIL
...