Literature DB >> 35691996

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

Essubalew Getachew Seyum1,2,3, Ngalle Hermine Bille1, Wosene Gebreselassie Abtew3, Pasi Rastas4, Deni Arifianto5, Hubert Domonhédo6, Benoît Cochard7, Florence Jacob7, Virginie Riou8,9, Virginie Pomiès8,9, David Lopez8,9, Joseph Martin Bell1, David Cros10,11.   

Abstract

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 Mé, with 943 individuals and 7324 single-nucleotide polymorphisms (SNPs) from genotyping-by-sequencing. Linkage disequilibrium (LD), haplotype sharing, effective size (Ne), and fixation index (Fst) 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 r2=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 Mé. The significant degree of differentiation existing between Deli and La Mé was confirmed by the high Fst 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 <0.5 cM/1 kbp and percentage of common haplotypes >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 Ne (<5). Population-specific genetic maps and reference genomes are recommended for future studies.
© 2022. The Author(s), under exclusive licence to Institute of Plant Genetics Polish Academy of Sciences.

Entities:  

Keywords:  Genome properties; Genomic selection; Genotyping-by-sequencing; Oil palm; Single nucleotide polymorphisms

Year:  2022        PMID: 35691996     DOI: 10.1007/s13353-022-00708-w

Source DB:  PubMed          Journal:  J Appl Genet        ISSN: 1234-1983            Impact factor:   3.240


  41 in total

1.  The impact of genetic architecture on genome-wide evaluation methods.

Authors:  Hans D Daetwyler; Ricardo Pong-Wong; Beatriz Villanueva; John A Woolliams
Journal:  Genetics       Date:  2010-04-20       Impact factor: 4.562

2.  Accuracy of genomic selection using different methods to define haplotypes.

Authors:  M P L Calus; T H E Meuwissen; A P W de Roos; R F Veerkamp
Journal:  Genetics       Date:  2008-01       Impact factor: 4.562

3.  NeEstimator v2: re-implementation of software for the estimation of contemporary effective population size (Ne ) from genetic data.

Authors:  C Do; R S Waples; D Peel; G M Macbeth; B J Tillett; J R Ovenden
Journal:  Mol Ecol Resour       Date:  2013-08-31       Impact factor: 7.090

4.  A One-Penny Imputed Genome from Next-Generation Reference Panels.

Authors:  Brian L Browning; Ying Zhou; Sharon R Browning
Journal:  Am J Hum Genet       Date:  2018-08-09       Impact factor: 11.025

5.  Estimation of genealogical coancestry in plant species using a pedigree reconstruction algorithm and application to an oil palm breeding population.

Authors:  David Cros; Leopoldo Sánchez; Benoit Cochard; Patrick Samper; Marie Denis; Jean-Marc Bouvet; Jesús Fernández
Journal:  Theor Appl Genet       Date:  2014-02-07       Impact factor: 5.699

6.  High density SNP and DArT-based genetic linkage maps of two closely related oil palm populations.

Authors:  Siou Ting Gan; Wei Chee Wong; Choo Kien Wong; Aik Chin Soh; Andrzej Kilian; Eng-Ti Leslie Low; Festo Massawe; Sean Mayes
Journal:  J Appl Genet       Date:  2017-12-06       Impact factor: 3.240

7.  Genomic selection prediction accuracy in a perennial crop: case study of oil palm (Elaeis guineensis Jacq.).

Authors:  David Cros; Marie Denis; Leopoldo Sánchez; Benoit Cochard; Albert Flori; Tristan Durand-Gasselin; Bruno Nouy; Alphonse Omoré; Virginie Pomiès; Virginie Riou; Edyana Suryana; Jean-Marc Bouvet
Journal:  Theor Appl Genet       Date:  2014-12-07       Impact factor: 5.699

8.  Genomic prediction of genetic merit using LD-based haplotypes in the Nordic Holstein population.

Authors:  Beatriz C D Cuyabano; Guosheng Su; Mogens S Lund
Journal:  BMC Genomics       Date:  2014-12-23       Impact factor: 3.969

9.  Developing genome-wide SNPs and constructing an ultrahigh-density linkage map in oil palm.

Authors:  Bin Bai; Le Wang; Ying Jun Zhang; May Lee; Rahmadsyah Rahmadsyah; Yuzer Alfiko; Bao Qing Ye; Sigit Purwantomo; Antonius Suwanto; Nam-Hai Chua; Gen Hua Yue
Journal:  Sci Rep       Date:  2018-01-12       Impact factor: 4.379

10.  Linkage disequilibrium levels and allele frequency distribution in Blanco Orejinegro and Romosinuano Creole cattle using medium density SNP chip data.

Authors:  Diego Bejarano; Rodrigo Martínez; Carlos Manrique; Luis Miguel Parra; Juan Felipe Rocha; Yolanda Gómez; Yesid Abuabara; Jaime Gallego
Journal:  Genet Mol Biol       Date:  2018 Apr./Jun       Impact factor: 1.771

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