Qi Bin Kwong
Development and validation of a high-density SNP genotyping array for African Oil Palm
Kwong, Qi Bin; Teh, Chee Keng; Ong, Ai Ling; Heng, Huey Ying; Lee, Heng Leng; Mohamed, Mohaimi; Low, Joel Zi-Bin; Apparow, Sukganah; Chew, Fook Tim; Mayes, Sean; Kulaveerasingam, Harikrishna; Tammi, Martti; Appleton, David Ross
Authors
Chee Keng Teh
Ai Ling Ong
Huey Ying Heng
Heng Leng Lee
Mohaimi Mohamed
Joel Zi-Bin Low
Sukganah Apparow
Fook Tim Chew
Dr SEAN MAYES SEAN.MAYES@NOTTINGHAM.AC.UK
ASSOCIATE PROFESSOR
Harikrishna Kulaveerasingam
Martti Tammi
David Ross Appleton
Abstract
High-density single nucleotide polymorphism (SNP) genotyping arrays are powerful tools that can measure the level of genetic polymorphism within a population. To develop a whole-genome SNP array for oil palms, SNP discovery was performed using deep resequencing of eight libraries derived from 132 Elaeis guineensis and Elaeis oleifera palms belonging to 59 origins, resulting in the discovery of >3 million putative SNPs. After SNP filtering, the Illumina OP200K custom array was built with 170 860 successful probes. Phenetic clustering analysis revealed that the array could distinguish between palms of different origins in a way consistent with pedigree records. Genome-wide linkage disequilibrium declined more slowly for the commercial populations (ranging from 120 kb at r2 = 0.43 to 146 kb at r2 = 0.50) when compared with the semi-wild populations (19.5 kb at r2 = 0.22). Genetic fixation mapping comparing the semi-wild and commercial population identified 321 selective sweeps. A genome-wide association study (GWAS) detected a significant peak on chromosome 2 associated with the polygenic component of the shell thickness trait (based on the trait shell-to-fruit; S/F %) in tenera palms. Testing of a genomic selection model on the same trait resulted in good prediction accuracy (r = 0.65) with 42% of the S/F%variation explained. The first high-density SNP genotyping array for oil palm has been developed and shown to be robust for use in genetic studies and with potential for developing early trait prediction to shorten the oil palm breeding cycle.
Citation
Kwong, Q. B., Teh, C. K., Ong, A. L., Heng, H. Y., Lee, H. L., Mohamed, M., Low, J. Z.-B., Apparow, S., Chew, F. T., Mayes, S., Kulaveerasingam, H., Tammi, M., & Appleton, D. R. (2016). Development and validation of a high-density SNP genotyping array for African Oil Palm. Molecular Plant, 9(8), https://doi.org/10.1016/j.molp.2016.04.010
Journal Article Type | Article |
---|---|
Acceptance Date | Apr 17, 2016 |
Online Publication Date | Apr 22, 2016 |
Publication Date | Aug 1, 2016 |
Deposit Date | Sep 4, 2017 |
Publicly Available Date | Sep 4, 2017 |
Journal | Molecular Plant |
Print ISSN | 1674-2052 |
Electronic ISSN | 1752-9867 |
Publisher | Oxford University Press |
Peer Reviewed | Peer Reviewed |
Volume | 9 |
Issue | 8 |
DOI | https://doi.org/10.1016/j.molp.2016.04.010 |
Keywords | oil palm, whole-genome SNP array, genome-wide association study, genomic selection, genetic fixation, genome-wide linkage disequilibrium |
Public URL | https://nottingham-repository.worktribe.com/output/797710 |
Publisher URL | http://www.sciencedirect.com/science/article/pii/S1674205216300326?via%3Dihub |
Contract Date | Sep 4, 2017 |
Files
Qi Bin et al. 2016 Mayes.pdf
(2.4 Mb)
PDF
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