Identification of QTLs in oil palm (Elaeis guineensis Jacq.) using SSR markers through association mapping

High-resolution genetic linkage map and height-related QTLs in an oil palm (Elaeis guineensis) family planted across multiple sites

A refined SNP array containing 92,459 probes was developed and applied for chromosome scanning, construction of a high-density genetic linkage map and QTL analysis in a selfed Nigerian oil palm family (T128). Genotyping of the T128 mapping family generated 76,447 good quality SNPs for detailed scanning of aberration and homozygosity in the individual pseudo-chromosomes. Of them, 25,364 polymorphic SNPs were used for linkage analysis resulting in an 84.4% mapping rate. A total of 21,413 SNPs were mapped into 16 linkage groups (LGs), covering a total map length of 1364.5 cM. This genetic map is 16X denser than the previous version used to establish pseudo-chromosomes of the oil palm reference genome published in 2013. The QTLs associated with height, height increment and rachis length were identified in LGs TT05, 06, 08, 15 and 16. The present QTLs as well as those published previously were tagged to the reference genome to determine their chromosomal locations. Almost all the QTLs identified in this study were either close to or co-located with those reported in other populations. Determining the QTL position on chromosomes was also helpful in mining for the underlying candidate genes. In total, 55 putative genes and transcription factors involved in the biosynthesis, conjugation and signalling of the major phytohormones, especially for gibberellins and cell wall morphogenesis were found to be present in the identified genomic QTL regions, and their potential roles in plant dwarfism are discussed.

Supplementary Information

The online version contains supplementary material available at 10.1007/s12298-023-01360-2.

EgmiR5179 Regulates Lipid Metabolism by Targeting EgMADS16 in the Mesocarp of Oil Palm (Elaeis guineensis)

EgMADS16, one of the MADS-box transcription factors in oil palm, has a high expression level in the late fruit development of the oil palm fruit mesocarp. At the same time, it is also predicted to be the target gene of EgmiR5179, which has been identified in previous research. In this paper, we focused on the function and regulatory mechanism of the EgMADS16 gene in oil palm lipid metabolism. The results indicated that the transcription level of EgMADS16 was highest in the fourth stage, and a dual-luciferase reporter assay proved that the EgMADS16 expression level was downregulated by EgmiR5179. In both the OXEgMADS16 Arabidopsis seeds and oil palm embryonic calli, the total lipid contents were significantly decreased, but the contents of C18:0 and C18:3 in OXEgMADS16 lines were significantly increased. As expected, EgmiR5179 weakened the inhibitory effect of EgMADS16 on the oil contents in transgenic Arabidopsis plants that coexpressed EgmiR5179 and EgMADS16 (OXEgmiR5179-EgMADS16). Moreover, yeast two-hybrid and BiFC analyses suggested that there was an interaction between the EgMADS16 protein and EgGLO1 protein, which had been proven to be capable of regulating fatty acid synthesis in our previous research work. In summary, a model of the molecular mechanism by which miRNA5179 targets EgMADS16 to regulate oil biosynthesis was hypothesized, and the research results provide new insight into lipid accumulation and molecular regulation in oil palm.

Genome-wide association study (GWAS) of major QTLs for bunch and oil yield related traits in Elaeis guineensis L

Oil palm (Elaeis guineensis Jacq.) is a long breeding cycle perennial crop with a genome size of 1.8 Gb. This is the first report of GWAS on large number of 310 African germplasm using 400 SSR markers till date. Highly significant correlation was found between leaf area (LA) and rachis length (RL) (0.75) followed by bunch weight (BW) and bunch index (BI) (0.65), whereas negative correlation was observed between bunch number (BN) and average bunch weight (ABW). First two principal component analysis (PCA) together explained maximum amount of variation (84.5 %). The PCA1 revealed that group 2 (Guinea Bissau and Cameroon) and group 4 (Zambia and Cameroon) genotypes are best suitable for BN, BI and BW traits. GWAS of six bunch yield and seven bunch oil yield traits with SSRs resulted in the identification 43 significant quantitative trait loci (QTLs) by mixed linear model (MLM) approach. Seven SSR loci were found to be linked to oil to dry mesocarp (ODM) on chromosomes 1,4,7,10,12 and 15. The SSR locus mEgCIR1753 for ODM was significantly linked at a p of ≤0.05 which explained 34.6 % of phenotypic variance. The important parameters like ODM, OWM and OB were located on 4, 10, 11 and 15 chromosomes. The leaf area and ODM were associated with candidate genes representing of low-temperature-induced 65 kDa proteins. The identified markers can be effectively used for marker assisted selection of high yielding oil palm genotypes.

Phenomics, genomics of oil palm (Elaeis guineensis Jacq.): way forward for making sustainable and high yielding quality oil palm

Oil palm (Elaeis guineensis Jacq.) is a heterogeneous, perennial crop having long breeding cycle with a genome size of 1.8 Gb. The demand for vegetable oil is steadily increasing, and expected that nearly 240-250 million tons of vegetable oil may be required by 2050. Genomics and next generation technologies plays crucial role in achieving the sustainable availability of oil palm with good yield and high quality. A successful breeding programme in oil palm depends on the availability of diverse gene pool, ex-situ conservation and their proper utilization for generating elite planting material. The major breeding methods adopted in oil palm are either modified recurrent selection or the modified reciprocal recurrent selection method. The QTLs of yield and related traits are chiefly located on chromosome 4, 10, 12 and 15 which is discussed in the current review. The probable chromosomal regions influencing the less height increment is observed to be on chromosomes 4, 10, 14 and 15. Advanced genomic approaches together with bioinformatics tools were discussed thoroughly for achieving sustainable oil palm where more efforts are needed. Major emphasis is given on oil palm crop improvement using holistic approaches of various genomic tools. Also a road map given on the milestones in the genomics and way forward for making oil palm to high yielding quality oil palm.