Metabolic fingerprinting analysis of oil palm reveals a set of differentially expressed metabolites in fatal yellowing symptomatic and non-symptomatic plants

Rodrigues-Neto, Jorge Candido; Correia, Mauro Vicentini; Souto, Augusto Lopes; Ribeiro, José Antônio de Aquino; Vieira, Letícia Rios; Júnior, Manoel Teixeira Souza; Rodrigues, Clenilson Martins; Abdelnur, Patrícia Verardi

doi:10.1007/s11306-018-1436-7

Cited by 16 publications

(21 citation statements)

References 84 publications

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“…Consequently, metabolic fingerprinting can give a closer hint how the final phenotypes evolve. Liquid chromatography combined with mass spectrometry (LC–MS) based metabolic fingerprinting is proven to be a powerful tool to identify significant differentiating compounds and related metabolic changes in plants (Atkinson et al 2012 ; Rodrigues-Neto et al 2018 ). There are some databases which are specific to plant metabolites and serve as good sources for substance identification in plant metabolomics, e.g., Dictionary of Natural Products (Quinn et al 2008 ) contains biologically active small molecules and MoTo DB database (Moco et al 2006 ), which is specific to tomato metabolites.…”

Section: Introductionmentioning

confidence: 99%

LC–MS based metabolic fingerprinting of apricot pistils after self-compatible and self-incompatible pollinations

et al. 2020

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Key message LC-MS based metabolomics approach revealed that putative metabolites other than flavonoids may significantly contribute to the sexual compatibility reactions in Prunus armeniaca. Possible mechanisms on related microtubule-stabilizing effects are provided. Abstract Identification of metabolites playing crucial roles in sexual incompatibility reactions in apricot (Prunus armeniaca L.) was the aim of the study. Metabolic fingerprints of self-compatible and self-incompatible apricot pistils were created using liquid chromatography coupled to time-of-flight mass spectrometry followed by untargeted compound search. Multivariate statistical analysis revealed 15 significant differential compounds among the total of 4006 and 1005 aligned metabolites in positive and negative ion modes, respectively. Total explained variance of 89.55% in principal component analysis (PCA) indicated high quality of differential expression analysis. The statistical analysis showed significant differences between genotypes and pollination time as well, which demonstrated high performance of the metabolic fingerprinting and revealed the presence of metabolites with significant influence on the self-incompatibility reactions. Finally, polyketide-based macrolides similar to peloruside A and a hydroxy sphingosine derivative are suggested to be significant differential metabolites in the experiment. These results indicate a strategy of pollen tubes to protect microtubules and avoid growth arrest involved in sexual incompatibility reactions of apricot.

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Section: Introductionmentioning

confidence: 99%

LC–MS based metabolic fingerprinting of apricot pistils after self-compatible and self-incompatible pollinations

et al. 2020

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“…The so-called 'omics' techniques (Figure 4) provide new opportunities to study oil palm FY. To get insights on FY possible causal agent, different research groups in Brazil have used metagenomics, metabolomics, and proteomics analysis [20][21][22]. To our knowledge, no work focusing on transcriptomics and FY has been published yet.…”

Section: New Technologies To Gain Insights On the Fy Causal Agentmentioning

confidence: 99%

“…Rodrigues-Neto et al [20] performed the first metabolomics work to study FY in Brazil using an untargeted metabolomics strategy to prospect metabolites differentially expressed in the leaves of FY symptomatic and asymptomatic plants. A high throughput method based on metabolic fingerprinting MS, using UHPLC coupled to high-resolution mass spectrometry (HRMS), was employed, and chemometric analysis, PCA and PLS-DA, were used to evaluate metabolic differences.…”

Section: Proteomics and Metabolomicsmentioning

confidence: 99%

“…Unfortunately, due to the fact that these metabolites are already described in the literature as linked to other types of stress, they are not good candidate for biomarkers; except for two of them, glycerophosphorylcholine and 1,2-dihexanoylsn-glycero-3-phosphoethanolamine [20].…”

Section: Proteomics and Metabolomicsmentioning

confidence: 99%

“…Some studies also looked for possible abiotic causes, with inconclusive results so far [17][18][19]. Recently, techniques such as metabolomics, proteomics, and metagenomics started to be applied to provide insights into the possible FY etiology, initiating a new phase in the process to solve this problem [20][21][22].…”

Section: Introductionmentioning

confidence: 99%

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Oil Palm Fatal Yellowing (FY), a Disease with an Elusive Causal Agent

Bittencourt¹,

Lins²,

Boari³

et al. 2022

Elaeis Guineensis

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Fatal yellowing disease (FY) is a bud rot-type disease that severely affects oil palm plantations in Latin America. Since 1974, when it was first reported in Brazil, this disorder has been responsible for severe economic losses in the oil palm industry; and, for nearly 50 years, several studies have tried to identify its causal agent, without success. The etiological studies regarding FY in oil palm explored either biotic and abiotic stress scenarios, in a single or combined manner. Most recently, the hypothesis in favor of one biotic cause has lost some grounds to the abiotic one, mainly due to new insights regarding deficient aeration in the soil, which reduces the potential for oxy-reduction, causing changes in the ionic composition of the soil solution. This review presents an overview of the history of this disease and the several efforts done to fulfill Koch’s postulates over the last 40 years, besides discussing recent studies that revisited this subject using some omics technics. We conclude by discussing further uses of omics via a multi-omics integration (MOI) strategy to help finally find out what is really behind the genesis of FY. Finding this elusive causal agent of FY out will allow either the development of a more efficient diagnostic tool and the advance in studies trying to find out the source of the genetic resistance hidden in the genome of the American oil palm.

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Integration of metabolomics and transcriptomics data to further characterize Gliricidia sepium (Jacq.) Kunth under high salinity stress

Silva

Braga

et al. 2021

The Plant Genome

Self Cite

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Soil salinity is one abiotic stress that threatens agriculture in more than 100 countries. Gliricidia [Gliricidia sepium (Jacq.) Kunth] is a multipurpose tree known for its ability to adapt to a wide range of soils; however, its tolerance limits and responses to salt stress are not yet well understood. In this study, after characterizing the morphophysiological responses of young gliricidia plants to salinity stress, leaf metabolic and transcription profiles were generated and submitted to single and integrated analyses. RNA from leaf samples were subjected to RNA sequencing using an Illumina HiSeq platform and the paired‐end strategy. Polar and lipidic fractions from leaf samples were extracted and analyzed on an ultra‐high‐performance liquid chromatography (UHPLC) coupled with electrospray ionization quadrupole time‐of‐flight high‐resolution mass spectrometry (MS) system. Acquired data were analyzed using the OmicsBox, XCMS Online, MetaboAnalyst, and Omics Fusion platforms. The substrate salinization protocol used allowed the identification of two distinct responses to salt stress: tolerance and adaptation. Single analysis on transcriptome and metabolome data sets led to a group of 5,672 transcripts and 107 metabolites differentially expressed in gliricidia leaves under salt stress. The phenylpropanoid biosynthesis was the most affected pathway, with 15 metabolites and three genes differentially expressed. Results showed that the differentially expressed metabolites and genes from this pathway affect mainly short‐term salt stress (STS). The single analysis of the transcriptome identified 12 genes coding for proteins that might play a role in gliricidia response at both STS and long‐term salt stress (LTS). Further studies are needed to reveal the mechanisms behind the adaptation response.

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Metabolic fingerprinting analysis of oil palm reveals a set of differentially expressed metabolites in fatal yellowing symptomatic and non-symptomatic plants

Cited by 16 publications

References 84 publications

LC–MS based metabolic fingerprinting of apricot pistils after self-compatible and self-incompatible pollinations

LC–MS based metabolic fingerprinting of apricot pistils after self-compatible and self-incompatible pollinations

Oil Palm Fatal Yellowing (FY), a Disease with an Elusive Causal Agent

Integration of metabolomics and transcriptomics data to further characterize Gliricidia sepium (Jacq.) Kunth under high salinity stress

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