Diurnal biomarkers reveal key photosynthetic genes associated with increased oil palm yield.
Bee Keat NeohYick Ching WongHuey Fang TehTheresa Lee Mei NgSoon Huat TiongTony Eng Keong OoiMohd Zairey Md ZainMohd Amiron ErsadChee Keng TehHeng Leng LeeSiti Khadijah Mohd RaisSee Siang CheahFook Tim ChewHarikrishna KulaveerasingamDavid Ross AppletonPublished in: PloS one (2019)
To investigate limiters of photosynthate assimilation in the carbon-source limited crop, oil palm (Elaeis guineensis Jacq.), we measured differential metabolite, gene expression and the gas exchange in leaves in an open field for palms with distinct mesocarp oil content. We observed higher concentrations of glucose 1-phosphate, glucose 6-phosphate, sucrose 6-phosphate, and sucrose in high-oil content palms with the greatest difference being at 11:00 (p-value ≤0.05) immediately after the period of low morning light intensity. Three important photosynthetic genes were identified using differentially expressed gene analysis (DEGs) and were found to be significantly enriched through Gene Ontology (GO) and pathway enrichment: chlorophyll a-b binding protein (CAB-13), photosystem I (PSI), and Ferredoxin-NADP reductase (FNR), particularly for sampling points at non-peak light (11:00 and 19:00), ranging from 3.3-fold (PSI) and 5.6-fold (FNR) to 10.3-fold (CAB-13). Subsequent gas exchange measurements further supported increased carbon assimilation through higher level of internal CO2 concentration (Ci), stomatal conductance (gs) and transpiration rate (E) in high-oil content palms. The selection for higher expression of key photosynthesis genes together with CO2 assimilation under low light is likely to be important for crop improvement, in particular at full maturity and under high density planting regimes where light competition exists between palms.
Keyphrases
- genome wide
- gene expression
- high density
- fatty acid
- binding protein
- genome wide identification
- dna methylation
- copy number
- climate change
- poor prognosis
- blood glucose
- type diabetes
- single cell
- blood pressure
- adipose tissue
- bioinformatics analysis
- weight loss
- ionic liquid
- energy transfer
- data analysis
- insulin resistance
- glycemic control