Literature DB >> 22991089

Analysis of copy number variations in Holstein cows identify potential mechanisms contributing to differences in residual feed intake.

Yali Hou1, Derek M Bickhart, Hoyoung Chung, Jana L Hutchison, H Duane Norman, Erin E Connor, George E Liu.   

Abstract

Genomic structural variation is an important and abundant source of genetic and phenotypic variation. In this study, we performed an initial analysis of copy number variations (CNVs) using BovineHD SNP genotyping data from 147 Holstein cows identified as having high or low feed efficiency as estimated by residual feed intake (RFI). We detected 443 candidate CNV regions (CNVRs) that represent 18.4 Mb (0.6 %) of the genome. To investigate the functional impacts of CNVs, we created two groups of 30 individual animals with extremely low or high estimated breeding values (EBVs) for RFI, and referred to these groups as low intake (LI; more efficient) or high intake (HI; less efficient), respectively. We identified 240 (~9.0 Mb) and 274 (~10.2 Mb) CNVRs from LI and HI groups, respectively. Approximately 30-40 % of the CNVRs were specific to the LI group or HI group of animals. The 240 LI CNVRs overlapped with 137 Ensembl genes. Network analyses indicated that the LI-specific genes were predominantly enriched for those functioning in the inflammatory response and immunity. By contrast, the 274 HI CNVRs contained 177 Ensembl genes. Network analyses indicated that the HI-specific genes were particularly involved in the cell cycle, and organ and bone development. These results relate CNVs to two key variables, namely immune response and organ and bone development. The data indicate that greater feed efficiency relates more closely to immune response, whereas cattle with reduced feed efficiency may have a greater capacity for organ and bone development.

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Year:  2012        PMID: 22991089     DOI: 10.1007/s10142-012-0295-y

Source DB:  PubMed          Journal:  Funct Integr Genomics        ISSN: 1438-793X            Impact factor:   3.410


  21 in total

1.  Copy number variation of individual cattle genomes using next-generation sequencing.

Authors:  Derek M Bickhart; Yali Hou; Steven G Schroeder; Can Alkan; Maria Francesca Cardone; Lakshmi K Matukumalli; Jiuzhou Song; Robert D Schnabel; Mario Ventura; Jeremy F Taylor; Jose Fernando Garcia; Curtis P Van Tassell; Tad S Sonstegard; Evan E Eichler; George E Liu
Journal:  Genome Res       Date:  2012-02-02       Impact factor: 9.043

2.  Segmental copy number variation shapes tissue transcriptomes.

Authors:  Charlotte N Henrichsen; Nicolas Vinckenbosch; Sebastian Zöllner; Evelyne Chaignat; Sylvain Pradervand; Frédéric Schütz; Manuel Ruedi; Henrik Kaessmann; Alexandre Reymond
Journal:  Nat Genet       Date:  2009-03-08       Impact factor: 38.330

Review 3.  Extending genome-wide association studies to copy-number variation.

Authors:  Steven A McCarroll
Journal:  Hum Mol Genet       Date:  2008-10-15       Impact factor: 6.150

4.  An evaluation of production efficiencies among lactating Holstein-Friesian, Jersey, and Jersey x Holstein-Friesian cows at pasture.

Authors:  R Prendiville; K M Pierce; F Buckley
Journal:  J Dairy Sci       Date:  2009-12       Impact factor: 4.034

5.  Genomic regions showing copy number variations associate with resistance or susceptibility to gastrointestinal nematodes in Angus cattle.

Authors:  Yali Hou; George E Liu; Derek M Bickhart; Lakshmi K Matukumalli; Congjun Li; Jiuzhou Song; Louis C Gasbarre; Curtis P Van Tassell; Tad S Sonstegard
Journal:  Funct Integr Genomics       Date:  2011-09-18       Impact factor: 3.410

Review 6.  Triennial Lactation Symposium: Opportunities for improving milk production efficiency in dairy cattle.

Authors:  E E Connor; J L Hutchison; K M Olson; H D Norman
Journal:  J Anim Sci       Date:  2011-10-28       Impact factor: 3.159

7.  Malaria: looking for selection signatures in the human PKLR gene region.

Authors:  Patrícia Machado; Rui Pereira; Ana Mafalda Rocha; Licínio Manco; Natércia Fernandes; Juliana Miranda; Letícia Ribeiro; Virgílio E do Rosário; António Amorim; Leonor Gusmão; Ana Paula Arez
Journal:  Br J Haematol       Date:  2010-04-04       Impact factor: 6.998

8.  Relative impact of nucleotide and copy number variation on gene expression phenotypes.

Authors:  Barbara E Stranger; Matthew S Forrest; Mark Dunning; Catherine E Ingle; Claude Beazley; Natalie Thorne; Richard Redon; Christine P Bird; Anna de Grassi; Charles Lee; Chris Tyler-Smith; Nigel Carter; Stephen W Scherer; Simon Tavaré; Panagiotis Deloukas; Matthew E Hurles; Emmanouil T Dermitzakis
Journal:  Science       Date:  2007-02-09       Impact factor: 47.728

9.  Visceral tissue growth and proliferation during the bovine lactation cycle.

Authors:  R L Baldwin; K R McLeod; A V Capuco
Journal:  J Dairy Sci       Date:  2004-09       Impact factor: 4.034

10.  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

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  26 in total

1.  Integrating CNVs into meta-QTL identified GBP4 as positional candidate for adult cattle stature.

Authors:  Xiu-Kai Cao; Yong-Zhen Huang; Yi-Lei Ma; Jie Cheng; Zhen-Xian Qu; Yun Ma; Yue-Yu Bai; Feng Tian; Feng-Peng Lin; Yu-Lin Ma; Hong Chen
Journal:  Funct Integr Genomics       Date:  2018-05-08       Impact factor: 3.410

2.  Assessing genomic diversity and signatures of selection in Pinan cattle using whole-genome sequencing data.

Authors:  Shunjin Zhang; Zhi Yao; Xinmiao Li; Zijing Zhang; Xian Liu; Peng Yang; Ningbo Chen; Xiaoting Xia; Shijie Lyu; Qiaoting Shi; Eryao Wang; Baorui Ru; Yu Jiang; Chuzhao Lei; Hong Chen; Yongzhen Huang
Journal:  BMC Genomics       Date:  2022-06-21       Impact factor: 4.547

3.  Copy number variations of MICAL-L2 shaping gene expression contribute to different phenotypes of cattle.

Authors:  Yao Xu; Liangzhi Zhang; Tao Shi; Yang Zhou; Hanfang Cai; Xianyong Lan; Chunlei Zhang; Chuzhao Lei; Hong Chen
Journal:  Mamm Genome       Date:  2013-11-07       Impact factor: 2.957

4.  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

5.  Genome-Wide Study of Structural Variants in Bovine Holstein, Montbéliarde and Normande Dairy Breeds.

Authors:  Mekki Boussaha; Diane Esquerré; Johanna Barbieri; Anis Djari; Alain Pinton; Rabia Letaief; Gérald Salin; Frédéric Escudié; Alain Roulet; Sébastien Fritz; Franck Samson; Cécile Grohs; Maria Bernard; Christophe Klopp; Didier Boichard; Dominique Rocha
Journal:  PLoS One       Date:  2015-08-28       Impact factor: 3.240

Review 6.  The challenges and importance of structural variation detection in livestock.

Authors:  Derek M Bickhart; George E Liu
Journal:  Front Genet       Date:  2014-02-18       Impact factor: 4.599

7.  Population differentiated copy number variation of Bos taurus, Bos indicus and their African hybrids.

Authors:  Jisung Jang; Endashaw Terefe; Kwondo Kim; Young Ho Lee; Gurja Belay; Abdulfatai Tijjani; Jian-Lin Han; Olivier Hanotte; Heebal Kim
Journal:  BMC Genomics       Date:  2021-07-12       Impact factor: 4.547

8.  Copy number variation-based genome wide association study reveals additional variants contributing to meat quality in Swine.

Authors:  Ligang Wang; Lingyang Xu; Xin Liu; Tian Zhang; Na Li; El Hamidi Hay; Yuebo Zhang; Hua Yan; Kebin Zhao; George E Liu; Longchao Zhang; Lixian Wang
Journal:  Sci Rep       Date:  2015-08-03       Impact factor: 4.379

9.  Bovine exome sequence analysis and targeted SNP genotyping of recessive fertility defects BH1, HH2, and HH3 reveal a putative causative mutation in SMC2 for HH3.

Authors:  Matthew C McClure; Derek Bickhart; Dan Null; Paul Vanraden; Lingyang Xu; George Wiggans; George Liu; Steve Schroeder; Jarret Glasscock; Jon Armstrong; John B Cole; Curtis P Van Tassell; Tad S Sonstegard
Journal:  PLoS One       Date:  2014-03-25       Impact factor: 3.240

10.  Identification of genomic loci associated with Rhodococcus equi susceptibility in foals.

Authors:  Cole M McQueen; Ryan Doan; Scott V Dindot; Jessica R Bourquin; Zlatomir Z Zlatev; M Keith Chaffin; Glenn P Blodgett; Ivan Ivanov; Noah D Cohen
Journal:  PLoS One       Date:  2014-06-03       Impact factor: 3.240

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