Literature DB >> 25648957

Genome-wide characteristics of copy number variation in Polish Holstein and Polish Red cattle using SNP genotyping assay.

A Gurgul1, I Jasielczuk, T Szmatoła, K Pawlina, T Ząbek, K Żukowski, M Bugno-Poniewierska.   

Abstract

Copy number variation (CNV), which results from deletions or amplifications of large fragments of genomic DNA, is widespread in mammalian genomes and apart from its potential pathogenic effect it is considered as a source of natural genetic diversity. In cattle populations, this kind of genetic variability remains still insufficiently elucidated and studies focusing on the detection of new structural genomic variants in different cattle populations may contribute to a better understanding of cattle breeds' diversity and genetic basis of production traits. In this study, by using BovineSNP50 assay and cnvPartition algorithm we identified CNVs in two different cattle breeds: Holstein (859 animals) and Polish Red (301). In Holstein cattle we found 648 CNVs which could be reduced to 91 non-redundant variable genomic regions (CNVRs) covering in total 168.6 Mb of the genomic sequence. In Polish Red cattle we detected 62 CNVs, localized in 37 variable regions encompassing 22.3 Mb of the sequence, corresponding to 0.89 % of the autosomal genome. Within the regions we identified 1,192 unique RefSeq genes which are engaged in a variety of biological processes. High concordance of the regions' distribution was found between the studied breeds, however copy number variants seemed to be more common in Holstein cattle. About 26 % of the regions described in this study could be classified as newly identified. The results of this study will broaden the knowledge of CNVs in genomes of cattle of different breeds and will provide foundations for further research aiming to identify a relationship between this type of genetic variation and phenotypic traits.

Entities:  

Mesh:

Year:  2015        PMID: 25648957     DOI: 10.1007/s10709-015-9822-9

Source DB:  PubMed          Journal:  Genetica        ISSN: 0016-6707            Impact factor:   1.082


  25 in total

1.  PennCNV: an integrated hidden Markov model designed for high-resolution copy number variation detection in whole-genome SNP genotyping data.

Authors:  Kai Wang; Mingyao Li; Dexter Hadley; Rui Liu; Joseph Glessner; Struan F A Grant; Hakon Hakonarson; Maja Bucan
Journal:  Genome Res       Date:  2007-10-05       Impact factor: 9.043

2.  High-resolution mapping and analysis of copy number variations in the human genome: a data resource for clinical and research applications.

Authors:  Tamim H Shaikh; Xiaowu Gai; Juan C Perin; Joseph T Glessner; Hongbo Xie; Kevin Murphy; Ryan O'Hara; Tracy Casalunovo; Laura K Conlin; Monica D'Arcy; Edward C Frackelton; Elizabeth A Geiger; Chad Haldeman-Englert; Marcin Imielinski; Cecilia E Kim; Livija Medne; Kiran Annaiah; Jonathan P Bradfield; Elvira Dabaghyan; Andrew Eckert; Chioma C Onyiah; Svetlana Ostapenko; F George Otieno; Erin Santa; Julie L Shaner; Robert Skraban; Ryan M Smith; Josephine Elia; Elizabeth Goldmuntz; Nancy B Spinner; Elaine H Zackai; Rosetta M Chiavacci; Robert Grundmeier; Eric F Rappaport; Struan F A Grant; Peter S White; Hakon Hakonarson
Journal:  Genome Res       Date:  2009-07-10       Impact factor: 9.043

3.  A first comparative map of copy number variations in the sheep genome.

Authors:  L Fontanesi; F Beretti; P L Martelli; M Colombo; S Dall'olio; M Occidente; B Portolano; R Casadio; D Matassino; V Russo
Journal:  Genomics       Date:  2010-11-24       Impact factor: 5.736

4.  Copy number variation influences gene expression and metabolic traits in mice.

Authors:  Luz D Orozco; Shawn J Cokus; Anatole Ghazalpour; Leslie Ingram-Drake; Susanna Wang; Atila van Nas; Nam Che; Jesus A Araujo; Matteo Pellegrini; Aldons J Lusis
Journal:  Hum Mol Genet       Date:  2009-07-31       Impact factor: 6.150

Review 5.  Comparative Analysis of CNV Calling Algorithms: Literature Survey and a Case Study Using Bovine High-Density SNP Data.

Authors:  Lingyang Xu; Yali Hou; Derek M Bickhart; Jiuzhou Song; George E Liu
Journal:  Microarrays (Basel)       Date:  2013-06-25

6.  Fine mapping of copy number variations on two cattle genome assemblies using high density SNP array.

Authors:  Yali Hou; Derek M Bickhart; Miranda L Hvinden; Congjun Li; Jiuzhou Song; Didier A Boichard; Sébastien Fritz; André Eggen; Sue DeNise; George R Wiggans; Tad S Sonstegard; Curtis P Van Tassell; George E Liu
Journal:  BMC Genomics       Date:  2012-08-06       Impact factor: 3.969

7.  Development and characterization of a high density SNP genotyping assay for cattle.

Authors:  Lakshmi K Matukumalli; Cynthia T Lawley; Robert D Schnabel; Jeremy F Taylor; Mark F Allan; Michael P Heaton; Jeff O'Connell; Stephen S Moore; Timothy P L Smith; Tad S Sonstegard; Curtis P Van Tassell
Journal:  PLoS One       Date:  2009-04-24       Impact factor: 3.240

8.  QuantiSNP: an Objective Bayes Hidden-Markov Model to detect and accurately map copy number variation using SNP genotyping data.

Authors:  Stefano Colella; Christopher Yau; Jennifer M Taylor; Ghazala Mirza; Helen Butler; Penny Clouston; Anne S Bassett; Anneke Seller; Christopher C Holmes; Jiannis Ragoussis
Journal:  Nucleic Acids Res       Date:  2007-03-06       Impact factor: 16.971

9.  Whole genome comparative studies between chicken and turkey and their implications for avian genome evolution.

Authors:  Darren K Griffin; Lindsay B Robertson; Helen G Tempest; Alain Vignal; Valérie Fillon; Richard P M A Crooijmans; Martien A M Groenen; Svetlana Deryusheva; Elena Gaginskaya; Wilfrid Carré; David Waddington; Richard Talbot; Martin Völker; Julio S Masabanda; Dave W Burt
Journal:  BMC Genomics       Date:  2008-04-14       Impact factor: 3.969

10.  Analysis of copy number variants by three detection algorithms and their association with body size in horses.

Authors:  Julia Metzger; Ute Philipp; Maria Susana Lopes; Artur da Camara Machado; Michela Felicetti; Maurizio Silvestrelli; Ottmar Distl
Journal:  BMC Genomics       Date:  2013-07-18       Impact factor: 3.969

View more
  3 in total

1.  Next-generation sequencing as a powerful motor for advances in the biological and environmental sciences.

Authors:  Denis Faure; Dominique Joly
Journal:  Genetica       Date:  2015-03-04       Impact factor: 1.082

2.  Copy number variations and genome-wide associations reveal putative genes and metabolic pathways involved with the feed conversion ratio in beef cattle.

Authors:  Miguel Henrique de Almeida Santana; Gerson Antônio Oliveira Junior; Aline Silva Mello Cesar; Mateus Castelani Freua; Rodrigo da Costa Gomes; Saulo da Luz E Silva; Paulo Roberto Leme; Heidge Fukumasu; Minos Esperândio Carvalho; Ricardo Vieira Ventura; Luiz Lehmann Coutinho; Haja N Kadarmideen; José Bento Sterman Ferraz
Journal:  J Appl Genet       Date:  2016-03-21       Impact factor: 3.240

3.  Landscape of copy number variations in Bos taurus: individual - and inter-breed variability.

Authors:  M Mielczarek; M Frąszczak; E Nicolazzi; J L Williams; J Szyda
Journal:  BMC Genomics       Date:  2018-05-29       Impact factor: 3.969

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.