Detail
Článek
Článek online
FT
Medvik - BMČ
  • Je něco špatně v tomto záznamu ?

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

V. Borůvková, WM. Howell, D. Matoulek, R. Symonová

. 2021 ; 12 (2) : . [pub] 20210222

Jazyk angličtina Země Švýcarsko

Typ dokumentu časopisecké články, práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/bmc21026058

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.

Citace poskytuje Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc21026058
003      
CZ-PrNML
005      
20211026133235.0
007      
ta
008      
211013s2021 sz f 000 0|eng||
009      
AR
024    7_
$a 10.3390/genes12020312 $2 doi
035    __
$a (PubMed)33671814
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a sz
100    1_
$a Borůvková, Veronika $u Faculty of Science, University of Hradec Kralove, 500 03 Hradec Kralove, Czech Republic
245    10
$a Quantitative Approach to Fish Cytogenetics in the Context of Vertebrate Genome Evolution / $c V. Borůvková, WM. Howell, D. Matoulek, R. Symonová
520    9_
$a 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.
650    _2
$a zvířata $7 D000818
650    _2
$a zastoupení bazí $x genetika $7 D001482
650    _2
$a ptáci $x klasifikace $x genetika $7 D001717
650    _2
$a chromozomy $x genetika $7 D002875
650    12
$a cytogenetika $7 D003582
650    12
$a molekulární evoluce $7 D019143
650    _2
$a ryby $x klasifikace $x genetika $7 D005399
650    _2
$a genom $x genetika $7 D016678
650    _2
$a rekombinace genetická $x genetika $7 D011995
650    _2
$a repetitivní sekvence nukleových kyselin $7 D012091
650    _2
$a obratlovci $x klasifikace $x genetika $7 D014714
655    _2
$a časopisecké články $7 D016428
655    _2
$a práce podpořená grantem $7 D013485
700    1_
$a Howell, W Mike $u Department of Biological and Environmental Sciences, Samford University, Birmingham, AL 35226, USA
700    1_
$a Matoulek, Dominik $u Faculty of Science, University of Hradec Kralove, 500 03 Hradec Kralove, Czech Republic
700    1_
$a Symonová, Radka $u Department of Bioinformatics, Wissenschaftszentrum Weihenstephan, Technische Universität München, 85354 Freising, Germany
773    0_
$w MED00174652 $t Genes $x 2073-4425 $g Roč. 12, č. 2 (2021)
856    41
$u https://pubmed.ncbi.nlm.nih.gov/33671814 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y p $z 0
990    __
$a 20211013 $b ABA008
991    __
$a 20211026133241 $b ABA008
999    __
$a ok $b bmc $g 1714927 $s 1146565
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2021 $b 12 $c 2 $e 20210222 $i 2073-4425 $m Genes $n Genes $x MED00174652
LZP    __
$a Pubmed-20211013

Najít záznam

Citační ukazatele

Nahrávání dat ...

Možnosti archivace

Nahrávání dat ...