Annona muricata Linn or usually identified as soursop is a potential anticancer plant that has been widely reported to contain valuable chemopreventive agents known as annonaceous acetogenins. The antiproliferative and anticancer activities of this tropical and subtropical plant have been demonstrated in cell culture and animal studies. A. muricata L. exerts inhibition against numerous types of cancer cells, involving multiple mechanism of actions such as apoptosis, a programmed cell death that are mainly regulated by Bcl-2 family of proteins. Nonetheless, the binding mode and the molecular interactions of the plant's bioactive constituents have not yet been unveiled for most of these mechanisms. In the current study, we aim to elucidate the binding interaction of ten bioactive phytochemicals of A. muricata L. to three Bcl-2 family of antiapoptotic proteins viz. Bcl-2, Bcl-w and Mcl-1 using an in silico molecular docking analysis software, Autodock 4.2. The stability of the complex with highest affinity was evaluated using MD simulation. We compared the docking analysis of these substances with pre-clinical Bcl-2 inhibitor namely obatoclax. The study identified the potential chemopreventive agent among the bioactive compounds. We also characterized the important interacting residues of protein targets which involve in the binding interaction. Results displayed that anonaine, a benzylisoquinoline alkaloid, showed a high affinity towards the Bcl-2, thus indicating that this compound is a potent inhibitor of the Bcl-2 antiapoptotic family of proteins.
The mango (Mangifer indica L.) is an important species of the family Anacardiaceae and is one of the most important crops cultivated commercially in many parts of the world. Hence, a better understanding of the phylogeny in this species is crucial as it is the basis knowledge of improving its genetic resources which is beneficial for breeding programs. Phylogenetic relationships among 13 mango cultivars from Indonesia, Malaysia and Taiwan were carried out by comparing DNA sequence data sets derived from the Internal Transcribed Spacer (ITS) region pfnuclear ribosomal DNA (nrDNA). Analysis using parsimony method showed that the cultivars were classified into three major groups. The first group composed almost Malaysian cultivars although with low bootstrap value, the second group consisted of mainly Taiwan cultivars and the last group included mostly Indonesia one. The results indicated that some cultivars have a close relationships with each other even it is originated from different countries. With regards to the relationship among these cultivars, this gives better insight for generating new cultivar.
Our country imported rice to sustain demand from the public. In Malaysia 2 types of rice are grown; wetland rice which is widely cultivated while upland rice is cultivated on a smaller scale mostly by farmers in Sabah and Sarawak. Through plant biotechnology, micropropagation method via tissue culture and quantitative breeding traits are able to contribute to research on upland rice in Malaysia. Prior to the establishment of efficient in vitro propagation of upland rice, study on embryogenic callus induction is crucial. Our findings showed that NAA was not suitable for callus induction. Nevertheless, the highest callus induction was observed when cultivars Wai (75%) and Panderas (90%) were cultured on MSB5 media supplemented with 2 mg/L 2,4-D. Furthermore, addition of 20 g/L sorbitol had increased callus induction of 70% and 80% for Wai and Panderas, respectively. In other assessment, comparative study on ex vitro quantitative breeding trait showed that the height of plants without any fertilizer treatment were higher than commercial EM-treated plant. Rice plant treated with EM commercial soil had the shortest height and eventually died. However, rice planted with commercial EM produced the highest number of grains per panicle, shorter maturity period as compared to control.
Rice is one of the most important species in the family of Poaceae. As one of the major crop that is consumed by world population, it is cultivated commercially in many parts of the world. Hence, the phylogeny study of this crop is crucial as a step for improvement of its breeding programs. Phylogenetic relationship among 12 rice cultivars that originated from two common sub-species; Indica and Japonica were inferred by comparing protein sequence data sets derived from its flowering time gene, namely RFT1 and analyzed using maximum parsimony (MP) method. The predicted structure of RFT1 protein was generated by I-TASSER server and analyzed using YASARA software. The result showed that the cultivars were classified into two major groups, where the first group (Japonica) evolved first followed by the second group (Indica). The findings suggested that some cultivars had a close relationship with each other even it is originates from different varieties. The relationships among these cultivars provide useful information for better understanding of molecular evolution process and designing good breeding program in order to generate new cultivar.
Rice (Oryza sativa L.) can be divided into two major categories, which is upland rice and lowland rice. Apart from being the staple food for more than half of the world population, it is also known as model plant for functional genomics study. However, it possess high amount of starch and polysaccharide that makes the isolation of good quality RNA for downstream purposes often a difficult task. While there are many studies being carried out for lowland rice extraction, none has been reported for upland rice. This study is the first to report on evaluation of three RNA extraction methods for three Malaysian upland rice cultivars in order to determine the best method to isolate high grade RNA. The result obtained demonstrated that good quality RNA in terms of integrity, purity and quality can be isolated from young leaves of these cultivars by using guanidine isothiocyanate based extraction method that is fast, simple and efficient and had been proven suitable for further downstream applications.
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