Literature DB >> 26641033

A survey of polymorphisms detected from sequences of popular beef breeds.

W M Snelling, G L Bennett, J W Keele, L A Kuehn, T G McDaneld, T P Smith, R M Thallman, T S Kalbfleisch, E J Pollak.   

Abstract

The genome sequence was obtained from 270 sires used in the Germplasm Evaluation (GPE) project. These bulls included 154 purebred AI sires from GPE Cycle VII breeds (Hereford, Angus, Simmental, Limousin, Charolais, Gelbvieh, and Red Angus), 83 F crosses of those breeds, and 33 AI sires from 8 other breeds. The exome capture sequence targeting coding regions of the genome was obtained from 176 of these bulls. Sequence reads were mapped to the UMD 3.1 bovine genome assembly; a mean of 2.5-fold (x) coverage per bull was obtained from the genomic sequence, and the targeted exons were covered at a mean of 20.0x. Over 28.8 million biallelic sequence variants were detected where each allele was present in at least 3 different bulls. These included 22.0 million previously reported variants and 94.1% of the 774,660 autosomal and BTA X SNP on the BovineHD BeadChip assay (HD). More than 92% of the variants detected in targeted exons were also detected from the low-coverage genome sequence. Less than 1% of the variants detected from the combined genome and exome sequence occurred in annotated protein-coding sequences and 5' and 3' untranslated regions (UTR) surrounding the 19,994 annotated protein coding regions. Variation was detected in the coding sequence or UTR of 96.8% of the genes: loss-of-function variants were predicted for 3,298 genes, 14,973 contained nonsynonymous variants, 11,276 had variation in UTR, and 17,721 genes contained synonymous variants. Minor allele frequencies (MAF) were <0.05 for 47.8% of the coding sequence and UTR variants, and MAF distributions were skewed toward low MAF. In contrast, 11.1% of the HD SNP detected in these bulls had MAF < 0.05, and the distribution was skewed toward higher MAF. Genes involved in immune system processes and immune response were overrepresented among those genes containing high MAF loss-of-function and nonsynonymous polymorphisms. Detected variants were submitted to the National Center for Biotechnology Information genetic variation database (dbSNP) under the handle MARC, batch GPE_Bull_GenEx.

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Year:  2015        PMID: 26641033     DOI: 10.2527/jas.2015-9356

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  8 in total

1.  Accuracy of prediction of simulated polygenic phenotypes and their underlying quantitative trait loci genotypes using real or imputed whole-genome markers in cattle.

Authors:  Saeed Hassani; Mahdi Saatchi; Rohan L Fernando; Dorian J Garrick
Journal:  Genet Sel Evol       Date:  2015-12-23       Impact factor: 4.297

2.  Using diverse U.S. beef cattle genomes to identify missense mutations in EPAS1, a gene associated with pulmonary hypertension.

Authors:  Michael P Heaton; Timothy P L Smith; Jacky K Carnahan; Veronica Basnayake; Jiansheng Qiu; Barry Simpson; Theodore S Kalbfleisch
Journal:  F1000Res       Date:  2016-08-16

3.  Evolutionary and Functional Features of Copy Number Variation in the Cattle Genome.

Authors:  Brittney N Keel; Amanda K Lindholm-Perry; Warren M Snelling
Journal:  Front Genet       Date:  2016-11-22       Impact factor: 4.599

4.  Comparison of Burrows-Wheeler Transform-Based Mapping Algorithms Used in High-Throughput Whole-Genome Sequencing: Application to Illumina Data for Livestock Genomes.

Authors:  Brittney N Keel; Warren M Snelling
Journal:  Front Genet       Date:  2018-02-26       Impact factor: 4.599

5.  Porcine single nucleotide polymorphisms and their functional effect: an update.

Authors:  B N Keel; D J Nonneman; A K Lindholm-Perry; W T Oliver; G A Rohrer
Journal:  BMC Res Notes       Date:  2018-12-04

6.  Assessment of Imputation from Low-Pass Sequencing to Predict Merit of Beef Steers.

Authors:  Warren M Snelling; Jesse L Hoff; Jeremiah H Li; Larry A Kuehn; Brittney N Keel; Amanda K Lindholm-Perry; Joseph K Pickrell
Journal:  Genes (Basel)       Date:  2020-11-05       Impact factor: 4.096

7.  Profile of the Spleen Transcriptome in Beef Steers with Variation in Gain and Feed Intake.

Authors:  Amanda K Lindholm-Perry; Rebecca J Kern; Brittney N Keel; Warren M Snelling; Larry A Kuehn; Harvey C Freetly
Journal:  Front Genet       Date:  2016-07-25       Impact factor: 4.599

8.  Genetic variation in humoral response to an Escherichia coli O157:H7 vaccine in beef cattle.

Authors:  Kara B Marley; Larry A Kuehn; John W Keele; Benjamin W Wileman; Michael G Gonda
Journal:  PLoS One       Date:  2018-05-14       Impact factor: 3.240

  8 in total

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