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Results for “Oil palm genomics”

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7 recordsLinked to original sources
PubMed2026

Graph-based pan-genome reveals structural and functional diversity across oil palm domestication gradients.

BACKGROUND: Oil palm (Elaeis guineensis Jacq.), the world's most land-efficient oil crop, underpins global vegetable oil supply yet faces mounting constraints from limited expansion, climate stress, and disease pressure. These challenges highlight the urgent need for genomic resources that capture species-wide diversity to support sustainable improvement. While recent reference assemblies have advanced trait discovery, single linear genomes fail to represent the full spectrum of structural and gene-content variation, limiting resolution of agronomic alleles. RESULTS: Here, we constructed a graph-based pan-genome from 30 diverse oil palm assemblies representing wild, semi-domesticated, and commercial accessions. We characterized structural variants, gene presence-absence variation, and copy-number gains, with focusing on functional stratification and resistance gene dynamics. The graph-based pan-genome revealed extensive structural and gene-content variation, including a large conserved core, complemented by shell and unique fractions enriched or biased toward regulatory, stress-responsive, and defense-related functions. Structural variation and duplication-derived copy-number gains contributed substantially to gene-content diversity, with semi-domesticated accessions exhibiting the greatest variability. Resistance gene repertoires showed contrasting patterns: receptor-like kinases remained comparatively stable, whereas the CNL subclass of NLR genes contributed disproportionately to shell-genome variation and duplication-associated turnover. CONCLUSIONS: This graph-based pan-genome provides a curated multi-assembly reference and comparative framework for oil palm genomics. By capturing structural variants, gene-content variations, copy-number gains, and resistance gene dynamics across domestication gradients, it establishes a foundation for future pan-GWAS analysis, functional genomics, and molecular breeding strategies aimed at improving resilience and productivity in this globally important crop.

Arecaceae↗
PubMed2026

A portable recalibration workflow for reference-based variant calling in non-human genomes.

A key computational step in reference-based variant calling is distinguishing true genetic variants from sequencing errors. Advanced tools and workflows have been developed to handle this by computational modelling of technical errors from the sequencing machines. However, these recalibration workflows have largely been evaluated for human data only and its exact applicability for non-human data remains unknown. Here, we conducted a systematic evaluation of variant calling on human, rice, sheep, and chickpea data, and found that existing workflows introduce unexpected statistical bias, thus leading to suboptimal variant calls for non-human data. To address this problem, we present simple guidelines for constructing a "pseudo-"database (pseudoDB) of genetic variants as a scalable and portable solution for recalibration and variant calling. With human data, our pseudoDB-based workflow performs comparably to existing dbSNP-based GATK3 workflows and those using DeepVariant, Strelka2, and FreeBayes. We extend this to other non-human genomes, namely cattle, brown bear, swan goose, African oil palm, Komodo dragon, and stevia, altogether resulting in the identification of up to 242.0% unique genetic variants. The majority of newly identified variants are within the non-coding regions, hinting at the rich diversity of genome regulation in the non-human population. Our pseudoDB-based workflow is agnostic to reference genomes and modular for easy integration with other computational workflows for human and non-human resequencing data.

Humans↗
PubMed2025

CRISPR RNP-Mediated Transgene-Free Genome Editing in Plants: Advances, Challenges and Future Directions for Tree Species.

CRISPR ribonucleoprotein (RNP)-mediated genome editing offers a transgene-free platform for precise genetic modification in diverse herbaceous and tree species, including rice, wheat, apple, poplar, oil palm, rubber tree and grapevine. However, its application in woody plants faces distinct challenges, notably inefficient delivery and regeneration difficulties, particularly in species such as bamboo. While some of these issues also occur in herbaceous plants, they are often significantly more complex in woody species due to factors such as intricate cell wall architecture, widespread recalcitrant genotypes and inherent limitations of current delivery platforms. This review presents the first in-depth, critical re-evaluation of recent advancements in RNP-mediated editing in woody plants, highlighting these obstacles that warrant focused attention. Unlike plasmid-based CRISPR systems, RNP editing utilises Cas9/Cas12a protein-guide RNA complexes without integrating foreign DNA. This enables a DNA-free editing strategy that simplifies regulatory approval and minimises off-target effects due to the transient presence and rapid degradation of RNPs within plant cells. While PEG-mediated protoplast transfection and particle bombardment remain the primary reported methods for RNP delivery in trees, we evaluate promising alternative strategies such as lipofection, electroporation, cell-penetrating peptides and nanoparticle-based systems for targeted RNP delivery. Despite their promise, these advanced methods remain largely untested in woody species. Finally, we outline future research directions, including the development of tree-specific RNP delivery systems and regeneration protocols to enhance efficiency and minimise cytotoxicity. These innovations are essential for unlocking the full potential of RNP-mediated genome editing in long-lived tree species. This review provides a focused and timely roadmap for expanding the application of RNP technology across diverse woody plants.

Gene Editing↗
PubMed2026

Acrocomia aculeata (Mbokaja) Kernel Oil Inhibits Herpes Simplex Virus 1 Replication and Promotes Cutaneous Wound Healing in Infected Mice.

Background/Objectives: Herpes simplex virus type 1 (HSV-1) is a global and prevalent pathogen, presenting significant clinical challenges because of its recurring infections, the development of drug resistance and severe clinical complications. This study evaluated the antiviral efficacy against HSV-1 of Acrocomia aculeata (A. aculeata) kernel oil, a Neotropical palm native to the Americas. Methods: The chemical profile of A. aculeata kernel oil was determined by gas chromatography with flame ionization detection (GC-FID). Antiviral activity was assessed using dose-response curves, time-of-addition assays, and quantification of intracellular viral genomes, viral gene transcripts, and IL-6 expression. A. aculeata kernel oil's antiviral effect was also evaluated using an in vivo HSV-1 cutaneous infection model. Results: GC-FID analysis revealed lauric, oleic, and myristic acids as predominant components in the kernel oil. A. aculeata kernel oil exhibited potent antiviral activity against HSV-1. The oil inhibited HSV-1 early step post-entry, reducing the mRNA levels of the immediate-early genes ICP4 and ICP22, leading to the downregulation of early and late viral gene expression and intracellular viral genome. Furthermore, the oil suppressed IL-6 expression in infected cells. Importantly, A. aculeata kernel oil promoted the healing of cutaneous lesions in HSV-1-infected mice. Conclusions: These findings demonstrate that A. aculeata kernel oil is a promising candidate for developing novel antiviral and topical therapies against HSV-1.

Animals↗
PubMed2026

Transcriptomic shift in ethanol and amino acid metabolic genes regulated by Med15 during alcoholic fermentation.

Organisms that thrive in extreme environments provide natural experiments in evolution, revealing the genetic regulators that orchestrate complex phenotypic change. Wine yeast (WY) are specialized strains that are adapted to survive in the wine making environment while producing high concentrations of ethanol. In addition to large genomic changes that differentiate WY from yeast used in other industries, SNP and polyglutamine tract polymorphism in the transcriptional regulator Med15 are associated with the fermentation efficiency and stress response phenotypes of WY. In this study, we investigated the transcriptional differences during wine fermentation in transgenic lab strain yeast having integrated WY MED15 alleles. Compared to the unmodified lab strain (MED15 LAB), the same strain in which the MED15 locus was replaced with a MED15 allele from yeast isolated from palm wine, the fermented sap of palm (oil, date, coconut) trees (MED15 WY23), exhibited enhanced expression of amino acid biosynthesis genes as well as stress resistance and metabolic adaptation genes. Our experimental data confirm the role of arginine in efficient fermentation and suggest that certain MED15 alleles alter the expression patterns of arginine pathway genes in some cases improving carbon flux under nitrogen stress. The global benefits conferred by natural polymorphisms in a single transcriptional regulator highlight Med15 as a target for engineering of strains devoted to various types of alcohol production.

Ethanol↗
PubMed2026

Transcriptomic shift in ethanol and amino acid metabolic genes regulated by Med15 during alcoholic fermentation.

Organisms that thrive in extreme environments provide natural experiments in evolution, revealing the genetic regulators that orchestrate complex phenotypic change. Wine yeast are specialized strains that are adapted to survive in the wine making environment while producing high concentrations of ethanol. In addition to large genomic changes that differentiate wine yeast from yeast used in other industries, single nucleotide and polyglutamine tract polymorphisms in the transcriptional regulator Med15 are associated with the fermentation efficiency and stress response phenotypes of wine yeast. In this study we investigated the transcriptional differences during wine fermentation in transgenic lab strain yeast having integrated wine yeast MED15 alleles. Compared to the unmodified lab strain (LAB or MED15 LAB ), the same strain in which the MED15 locus was replaced with a MED15 allele from yeast isolated from palm wine, the fermented sap of palm (oil, date, coconut) trees, (WY23, or MED15 WY23 ) exhibited enhanced expression of glycolytic, fermentation, and amino acid biosynthesis genes. Our experimental data confirms the importance of arginine biosynthetic genes during the fermentation process and suggests that the improvement in fermentation efficiency in strains with MED15 alleles from some wine yeast strains may be related to the role of Med15 in expression of the genes of the arginine biosynthetic pathway. The global benefit conferred by polymorphisms in a single transcriptional regulator, makes Med15 a prime target for engineering of strains devoted to various types of alcohol production.

Journal Article↗
PubMed2026

Temporal DIA-MS proteomics reveals coordinated metabolic reprogramming associated with oil accumulation in oil palm mesocarp.

Oil palm (Elaeis guineensis Jacq.) is the most productive oil-bearing crop globally, yet the molecular basis of mesocarp development and lipid accumulation remains poorly understood. Ultra-deep data-independent acquisition mass spectrometry (DIA-MS) was applied to characterize proteome dynamics in two contrasting genotypes, seedless (KS) and thin-shelled (TS), across five developmental stages (P1-P5) spanning fruit development to mature oil accumulation. Phenotypic analysis revealed higher mesocarp proportion and oil content in KS during late maturation. A total of 137,615 peptides corresponding to 12,163 protein groups were identified, providing a temporal proteomic landscape of mesocarp development. Multivariate analysis indicated that developmental progression was the primary contributor to proteomic variation, whereas genotype-associated differences increased during lipid accumulation. Differentially abundant proteins were mainly associated with carbohydrate metabolism, photosynthesis, proteolysis, antioxidant responses, and lipid biosynthesis. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and KOG analyses suggested extensive remodeling of metabolic networks, including developmental changes in photosynthesis-associated proteins and increased representation of lipid-associated pathways during maturation. Weighted protein co-expression network analysis identified 17 modules associated with developmental progression and lipid accumulation, highlighting candidate proteins involved in carbon metabolism, energy production, and cellular protection. Genes encoding selected hub protein candidates were further examined by RT-qPCR. Biochemical analyses supported these proteomic patterns, showing increased acetyl-CoA availability, enhanced antioxidant enzyme activities (SOD, CAT, APX, and GR), improved GSH/GSSG balance, and reduced oxidative damage in KS. Together, these findings provide a temporal proteomic and biochemical framework for understanding genotype-associated differences in oil accumulation and identify candidate metabolic networks for functional studies.

Carbon metabolism↗