2016
DOI: 10.1016/j.plaphy.2016.09.014
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Involvement of metabolites in early defense mechanism of oil palm ( Elaeis guineensis Jacq.) against Ganoderma disease

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Cited by 51 publications
(47 citation statements)
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“…Each biological replicate consisted of pooled RNA provided equally from six constituent seedlings. Instead of mathematical averaging of individual sample, biological averaging is more cost e cient and commonly practiced in the attempt of reducing high biological variability among samples in RNA-seq studies [99]. Pooling bias can be reduced by using three to eight biological individual samples per pool with two pools per treatment group [100].…”
Section: Plant Materials and Fungal Treatmentmentioning
confidence: 99%
“…Each biological replicate consisted of pooled RNA provided equally from six constituent seedlings. Instead of mathematical averaging of individual sample, biological averaging is more cost e cient and commonly practiced in the attempt of reducing high biological variability among samples in RNA-seq studies [99]. Pooling bias can be reduced by using three to eight biological individual samples per pool with two pools per treatment group [100].…”
Section: Plant Materials and Fungal Treatmentmentioning
confidence: 99%
“…Given their key importance, these metabolite responses could also be used as "biomarkers" to indicate the health or disease status in plants and provide further insight into the pathogenicity of the disease agent. Using gas chromatography-coupled mass spectrometry (GC-MS), metabolite biomarkers have been identified for plant diseases such as Tomato yellow leaf curl virus (Sade et al, 2014), Ganoderma disease in oil palm (Nusaibah, Siti Nor Akmar, Idris, Sariah, & Mohamad, 2016), and Fusarium infection in maize (Sherif et al, 2016). For Armillaria disease, pine seedlings infected with Armillaria ostoyae exhibited distinct levels of certain metabolites 9-month post-inoculation despite there being no visible symptoms (Isidorov, Lech, Żółciak, Rusak, & Szczepaniak, 2008).…”
mentioning
confidence: 99%
“…The application of transcriptomics, proteomics and metabolomics has been employed to investigate the interactions between oil palm and G. boninense fungus (Nusaibah et al, 2016;Dzulkafli et al, 2016;Tee et al, 2013;Nurazah et al, 2013;Alizadeh et al, 2011;As'wad et al, 2011). Table 3 lists differentially expressed proteins in both oil palm roots and G. boninense during several separate inoculation experiments which are responsible for the survival of both the host and the pathogen.…”
Section: Omics Revolution In Oil Palm Researchmentioning
confidence: 99%