Detection of Highly Poisonous Nerium oleander Using Quantitative Real-Time PCR with Specific Primers.

Nerium oleander is one of the most poisonous plants, and its accidental ingestion has frequently occurred in humans and livestock. It is vital to develop a rapid and accurate identification method for the timely rescue of oleander-poisoned patients and the investigation of poisoning cases. In this study, a specific and highly sensitive quantitative real-time PCR (qPCR)-based method was developed to identify oleander in mixture systems and simulated forensic specimens (SFS). First, a new pair of oleander-specific primers, JZT-BF/BR, was designed and validated. Then, a qPCR method was developed using the primers, and its detective sensitivity was examined. The results showed that JZT-BF/BR could specifically identify oleander in forage and food mixtures, and qPCR was capable of accurate authentication even at a low DNA concentration of 0.001 ng/µL. This method was further applied to the analysis of SFS containing different ratios of N. oleander. The method was confirmed to be applicable to digested samples, and the detection limit reached 0.1% (w/w) oleander in mixture systems. Thus, this study undoubtedly provides strong support for the detection of highly toxic oleander and the diagnosis of food poisoning in humans and animals.

Combined transcriptome and metabolome analysis of Nerium indicum L. elaborates the key pathways that are activated in response to witches' broom disease.

BACKGROUND: Nerium indicum Mill. is an ornamental plant that is found in parks, riversides, lakesides, and scenic areas in China and other parts of the world. Our recent survey indicated the prevalence of witches' broom disease (WBD) in Guangdong, China. To find out the possible defense strategies against WBD, we performed a MiSeq based ITS sequencing to identify the possible casual organism, then did a de novo transcriptome sequencing and metabolome profiling in the phloem and stem tip of N. indicum plants suffering from WBD compared to healthy ones. RESULTS: The survey showed that Wengyuen county and Zengcheng district had the highest disease incidence rates. The most prevalent microbial species in the diseased tissues was Cophinforma mamane. The transcriptome sequencing resulted in the identification of 191,224 unigenes of which 142,396 could be annotated. There were 19,031 and 13,284 differentially expressed genes (DEGs) between diseased phloem (NOWP) and healthy phloem (NOHP), and diseased stem (NOWS) and healthy stem (NOHS), respectively. The DEGs were enriched in MAPK-signaling (plant), plant-pathogen interaction, plant-hormone signal transduction, phenylpropanoid and flavonoid biosynthesis, linoleic acid and α-linoleic acid metabolism pathways. Particularly, we found that N. indicum plants activated the phytohormone signaling, MAPK-signaling cascade, defense related proteins, and the biosynthesis of phenylpropanoids and flavonoids as defense responses to the pathogenic infection. The metabolome profiling identified 586 metabolites of which 386 and 324 metabolites were differentially accumulated in NOHP vs NOWP and NOHS and NOWS, respectively. The differential accumulation of metabolites related to phytohormone signaling, linoleic acid metabolism, phenylpropanoid and flavonoid biosynthesis, nicotinate and nicotinamide metabolism, and citrate cycle was observed, indicating the role of these pathways in defense responses against the pathogenic infection. CONCLUSION: Our results showed that Guangdong province has a high incidence of WBD in most of the surveyed areas. C. mamane is suspected to be the causing pathogen of WBD in N. indicum. N. indicum initiated the MAPK-signaling cascade and phytohormone signaling, leading to the activation of pathogen-associated molecular patterns and hypersensitive response. Furthermore, N. indicum accumulated high concentrations of phenolic acids, coumarins and lignans, and flavonoids under WBD. These results provide scientific tools for the formulation of control strategies of WBD in N. indicum.

Characterisation of recombinant thermostable manganese-superoxide dismutase (NeMnSOD) from Nerium oleander.

Superoxide dismutase is one of the key antioxidant enzymes accountable for the eradication of free radicals generated during various metabolic processes. This is first study reporting a thermostable MnSOD obtained from a xerophytic plant, Nerium oleander. The full-length gene identified using Rapid amplification of cDNA ends revealed an open reading frame of 699 bp flanked by 5'UTR and 3'UTR of 134 bp and 198 bp respectively. The corresponding NeMnSOD protein was cloned and expressed in Escherichia coli. The purified protein yields a band of 25.4 kDa, which established a specific activity of 2617 units mg-1 of protein and under native condition yield bands of 52 kDa and 110 kDa, confirming the dimeric and tetrameric state of the protein. The Km and Vmax of 0.078 ± 0.008 mM and 1052.3 ± 33.59 units mg-1 of protein, respectively. The purified enzyme demonstrated thermostability by retaining more than 20% activity at a temperature 70 ℃. The enzyme functioned at pH range of 4-9.0 with maximum activity at pH 7.4. Sodium azide, effectively inhibited the activity of enzyme confirming it to be MnSOD. The enzyme activity was least affected on treatment with strong denaturants (Urea, guanidine HCl and SDS) and harsh chemicals (DTT, CHAPS and ß-mercapto-ethanol) These experimental data validated with Insilco analysis revealed that NeMnSOD possessed thermo as well as kinetically stable moiety which can be further exploited with its applications in the field of pharmaceutical, food and cosmetic industry, which urge for such thermostable enzyme.

Morphological, genetic and pigment diversity of Nerium indicum Mill in Iran.

The Nerium indicum Mill organs and parts of the 40 genotypes were sampled from 5 habitats of southand south east of Iran. In total, 15 morphological and pigmentvariables were measured. Analysis of variance was carried out based on completely randomized design and revealed significance differencesat p ≤ 0.05, 0.01 and 0.001 for the most variablesindicating a large-scale diversity among the genotypes. Cluster analysis divided the genotypes into 3 main groups. The first and second principal components had 34.73% and 18.67% of the variance, respectively. The main factors had 76.79% accumulated eigenvalue. Random amplified polymorphic DNA (RAPD) markers used to assess the population structure and genetic variation. In total, 361 polymorphic band amplified from effective 14 chosen RAPD markers. Analysis of molecular variance (AMOVA) showed 67% and 33% within and between populations genetic variation respectively. Cluster analysis by using UPGMA method divided genotypes into 6 main groups. A high cophenetic correlation coefficient (r = 0.90) was obtained. The first and second principle coordinates had 29.31% and 25.78% of the variance, respectively.