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CNVs are associated with genomic architecture in a songbird. / da Silva, Vinicius H. (Corresponding author); Laine, Veronika N.; Bosse, M; Oers, Kees van; Dibbits, B.W.; Visser, Marcel E.; M. A. Crooijmans, Richard P.; Groenen, Martien A.M. .

In: BMC Genomics, Vol. 19, No. 2, 195, 2018.

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da Silva, Vinicius H. ; Laine, Veronika N. ; Bosse, M ; Oers, Kees van ; Dibbits, B.W. ; Visser, Marcel E. ; M. A. Crooijmans, Richard P. ; Groenen, Martien A.M. . / CNVs are associated with genomic architecture in a songbird. In: BMC Genomics. 2018 ; Vol. 19, No. 2.

BibTeX

@article{ff5e6d135cdc4cf8baa795a8cb08ccfe,
title = "CNVs are associated with genomic architecture in a songbird",
abstract = "Understanding variation in genome structure is essential to understand phenotypic differences within populations and the evolutionary history of species. A promising form of this structural variation is copy number variation (CNV). CNVs can be generated by different recombination mechanisms, such as non-allelic homologous recombination, that rely on specific characteristics of the genome architecture. These structural variants can therefore be more abundant at particular genes ultimately leading to variation in phenotypes under selection. Detailed characterization of CNVs therefore can reveal evolutionary footprints of selection and provide insight in their contribution to phenotypic variation in wild populations.",
keywords = "national",
author = "{da Silva}, {Vinicius H.} and Laine, {Veronika N.} and M Bosse and Oers, {Kees van} and B.W. Dibbits and Visser, {Marcel E.} and {M. A. Crooijmans}, {Richard P.} and Groenen, {Martien A.M.}",
note = "6503, AnE; Data Archiving: data archived at publisher's and at NCBI https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE105131",
year = "2018",
doi = "10.1186/s12864-018-4577-1",
language = "English",
volume = "19",
journal = "BMC Genomics",
issn = "1471-2164",
publisher = "BioMed Central",
number = "2",

}

RIS

TY - JOUR

T1 - CNVs are associated with genomic architecture in a songbird

AU - da Silva, Vinicius H.

AU - Laine, Veronika N.

AU - Bosse, M

AU - Oers, Kees van

AU - Dibbits, B.W.

AU - Visser, Marcel E.

AU - M. A. Crooijmans, Richard P.

AU - Groenen, Martien A.M.

N1 - 6503, AnE; Data Archiving: data archived at publisher's and at NCBI https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE105131

PY - 2018

Y1 - 2018

N2 - Understanding variation in genome structure is essential to understand phenotypic differences within populations and the evolutionary history of species. A promising form of this structural variation is copy number variation (CNV). CNVs can be generated by different recombination mechanisms, such as non-allelic homologous recombination, that rely on specific characteristics of the genome architecture. These structural variants can therefore be more abundant at particular genes ultimately leading to variation in phenotypes under selection. Detailed characterization of CNVs therefore can reveal evolutionary footprints of selection and provide insight in their contribution to phenotypic variation in wild populations.

AB - Understanding variation in genome structure is essential to understand phenotypic differences within populations and the evolutionary history of species. A promising form of this structural variation is copy number variation (CNV). CNVs can be generated by different recombination mechanisms, such as non-allelic homologous recombination, that rely on specific characteristics of the genome architecture. These structural variants can therefore be more abundant at particular genes ultimately leading to variation in phenotypes under selection. Detailed characterization of CNVs therefore can reveal evolutionary footprints of selection and provide insight in their contribution to phenotypic variation in wild populations.

KW - national

UR - https://www.ncbi.nlm.nih.gov/bioproject/PRJNA415009

U2 - 10.1186/s12864-018-4577-1

DO - 10.1186/s12864-018-4577-1

M3 - Article

VL - 19

JO - BMC Genomics

JF - BMC Genomics

SN - 1471-2164

IS - 2

M1 - 195

ER -

ID: 6376726