Genome properties of key oil palm (Elaeis guineensis Jacq.) breeding populations

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Seyum, Essubalew Getachew | Bille, Ngalle Hermine | Abtew, Wosene Gebreselassie | Rastas, Pasi | Arifianto, Deni | Domonhédo, Hubert | Cochard, Benoît | Jacob, Florence | Riou, Virginie | Pomiès, Virginie | Lopez, David | Bell, Joseph Martin | Cros, David

Edité par CCSD ; Institute of Plant Genetics -

Early access. International audience. A good knowledge of the genome properties of the populations makes it possible to optimize breeding methods, in particular genomic selection (GS). In oil palm (Elaeis guineensis Jacq), the world's main source of vegetable oil, this would provide insight into the promising GS results obtained so far. The present study considered two complex breeding populations, Deli and La Me, with 943 individuals and 7324 single-nucleotide polymorphisms (SNPs) from genotyping-by-sequencing. Linkage disequilibrium (LD), haplotype sharing, effective size (N-e), and fixation index (F-st) were investigated. A genetic linkage map spanning 1778.52 cM and with a recombination rate of 2.85 cM/Mbp was constructed. The LD at r(2)=0.3, considered the minimum to get reliable GS results, spanned over 1.05 cM/0.22 Mbp in Deli and 0.9 cM/0.21 Mbp in La Me. The significant degree of differentiation existing between Deli and La Me was confirmed by the high F-st value (0.53), the pattern of correlation of SNP heterozygosity and allele frequency among populations, and the decrease of persistence of LD and of haplotype sharing among populations with increasing SNP distance. However, the level of resemblance between the two populations over short genomic distances (correlation of r values between populations >0.6 for SNPs separated by 40% for haplotypes <3600 bp/0.20 cM) likely explains the superiority of GS models ignoring the parental origin of marker alleles over models taking this information into account. The two populations had low N-e (<5). Population-specific genetic maps and reference genomes are recommended for future studies.

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The authors acknowledge the CETIC (African Center of Excellence in Information and Communication Technologies) for support, and thank the UMR AGAP genotyping technology platform (CIRAD, Montpellier), the DArT company (www.diversit...

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