Characterization of the poll allele in Brahman cattle using long-read Oxford Nanopore sequencing.
Oxford Nanopore
bovine
long read sequencing
poll
structural variant
whole genome sequencing
Journal
Journal of animal science
ISSN: 1525-3163
Titre abrégé: J Anim Sci
Pays: United States
ID NLM: 8003002
Informations de publication
Date de publication:
01 May 2020
01 May 2020
Historique:
received:
11
02
2020
accepted:
20
04
2020
pubmed:
23
4
2020
medline:
9
10
2020
entrez:
23
4
2020
Statut:
ppublish
Résumé
Brahman cattle (Bos indicus) are well adapted to thrive in tropical environments. Since their introduction to Australia in 1933, Brahman's ability to grow and reproduce on marginal lands has proven their value in the tropical beef industry. The poll phenotype, which describes the absence of horns, has become desirable in the cattle industry for animal welfare and handler safety concerns. The poll locus has been mapped to chromosome one. Four alleles, each a copy number variant, have been reported across this locus in B. indicus and Bos taurus. However, the causative mutation in Brahman cattle has not been fully characterized. Oxford Nanopore Technologies' minION sequencer was used to sequence four homozygous poll (PcPc), four homozygous horned (pp), and three heterozygous (Pcp) Brahmans to characterize the poll allele in Brahman cattle. A total of 98 Gb were sequenced and an average coverage of 3.33X was achieved. Read N50 scores ranged from 9.9 to 19 kb. Examination of the mapped reads across the poll locus revealed insertions approximately 200 bp in length in the poll animals that were absent in the horned animals. These results are consistent with the Celtic poll allele, a 212-bp duplication that replaces 10 bp. This provides direct evidence that the Celtic poll allele is segregating in the Australian Brahman population.
Identifiants
pubmed: 32318708
pii: 5823688
doi: 10.1093/jas/skaa127
pmc: PMC7224446
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© The Author(s) 2020. Published by Oxford University Press on behalf of the American Society of Animal Science. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
Références
BMC Bioinformatics. 2009 Mar 06;10:80
pubmed: 19267900
J Dairy Sci. 2017 Jul;100(7):5491-5500
pubmed: 28477999
Sci Rep. 2018 Dec 10;8(1):17761
pubmed: 30531891
Nat Genet. 2017 Mar;49(3):470-475
pubmed: 28135247
Nat Commun. 2017 Nov 6;8(1):1326
pubmed: 29109544
Genome Res. 2011 Jun;21(6):940-51
pubmed: 21460063
Nat Genet. 1993 Jun;4(2):206-10
pubmed: 8348158
Bioinformatics. 2018 Aug 1;34(15):2666-2669
pubmed: 29547981
Can Vet J. 2007 Dec;48(12):1249-54
pubmed: 18189045
Bioinformatics. 2018 Sep 15;34(18):3094-3100
pubmed: 29750242
Genome Biol. 2019 Jun 3;20(1):117
pubmed: 31159850
Genet Med. 2018 Jan;20(1):159-163
pubmed: 28640241
Nat Methods. 2018 Jun;15(6):461-468
pubmed: 29713083
G3 (Bethesda). 2020 Feb 6;10(2):539-544
pubmed: 31767638
Mamm Genome. 2005 Aug;16(8):613-20
pubmed: 16180143
PLoS One. 2012;7(6):e39477
pubmed: 22737241
Anim Genet. 2019 Dec;50(6):557-568
pubmed: 31475748
PLoS One. 2013 May 22;8(5):e63512
pubmed: 23717440
Genome Biol. 2019 Nov 20;20(1):246
pubmed: 31747936
Nat Ecol Evol. 2018 Sep;2(9):1514
pubmed: 30104754
Genet Sel Evol. 2014 Oct 28;46:68
pubmed: 25359100
Nat Biotechnol. 2011 Jan;29(1):24-6
pubmed: 21221095
Anim Genet. 2012 Dec;43(6):683-8
pubmed: 22497221
PLoS One. 2013 Nov 18;8(11):e79667
pubmed: 24260275
Bioinformatics. 2007 Apr 15;23(8):1026-8
pubmed: 17309896