IntroductionBanana (Musa L. species (Musaceae)) is considered as an important food-fruit crop and is cultivated commercially in more than 120 countries. India is a major banana producing nation with an area of 0.79 million hectares and productivity of 28.4 metric tonnes per hectare (NHB, 2011). A wide range of diploids, triploids (2n = 3x = 33), and tetraploid cultivars/landraces of banana are known that have evolved from interspecific hybrids of the 2 wild diploid species, Musa acuminate Colla (contributing ' A' genome) and Musa balbisiana Colla (contributing 'B' genome). Despite botanical homogeneity, plantains manifest wide and unique phenotypic variability regarding plant size, bunch type, bunch and fruit orientation, fruit apex shape, pseudostem, and fruit color. Nendran (Musa AAB group) is one of the leading banana cultivars belonging to the plantain subgroup and is one of the most prized plantain varieties of India. However, biodiversity in the Nendran cultivar is complex and is represented by clones distinguishable by variation in plant stature, bunch, fruit morphology, and degree of development of the male phase (Menon et al., 2002). Therefore, the present study was carried out with the objective to characterize variability in plantain ecotypes of banana using molecular markers. The development and application of molecular markers provide powerful tools to reveal polymorphism, are robust to detect genetic variability (Simmons et al., 2007), and are not influenced by environment or developmental stages of the plant, thus making them an ideal tool for genetic relationship studies. However, the potential usefulness of Abstract: Twelve plantain ecotypes were characterized for molecular variability using random amplified polymorphic DNA (RAPD) and inter simple sequence repeat (ISSR) markers. Out of the 60 RAPD and 40 ISSR primers tested, 16 RAPD and 14 ISSR primers were found polymorphic, and were used for molecular profiling of the plantain ecotypes. The average number of bands per primer, average number of polymorphic bands per primer, mean polymorphic information content (PIC) value, resolving power (Rp), and marker indices (MI) for RAPD primers were 8.63, 3.25, 0.87, 15.49, and 2.86, whereas the respective values for the ISSR assay were 7.93, 4.14, 0.85, 12.49, and 3.55. The genetic similarity coefficient was calculated using the Jaccard coefficient. The unweighted pair group method with arithmetic averages (UPGMA)-based clustering pattern remained more or less similar for RAPD, ISSR, and combined RAPD and ISSR data. Clustering was strongly supported by high bootstrap values. The genotypes Njockkon and Changalikodan (similarity coefficient > 0.94) and Manjeri Nendran (a) and Manjeri Nendran (b) (similarity coefficient > 0.89) were more closely related than the other ecotypes. The principal component analysis (PCA) showed results similar to those of the dendrogram. The results revealed that ISSR would be a better tool than RAPD for evaluation of genetic diversity in plantain ecotypes. Further, huge variab...
Medicinal plants and plant derived molecules are widely used in traditional cultures all over the world and they are becoming large popular among biomedical researchers and pharmaceutical companies as a natural alternative to synthetic medicine. Information related to medicinal plants and herbal drugs accumulated over the ages are scattered and unstructured which make it prudent to develop a curated database for medicinal plants. The Antidiabetic and Anticancer Medicinal Plants Database (DIACAN) aims to collect and provide an integrated platform for plants and phytochemiclas having antidiabetic or anticancer activity.Availabilityhttp://www.kaubic.in/diacan
Plants have been used as a source of medicine since historic times, and herbal drugs play an important role in the treatment of various ailments. Several commercially important modern medicines are of plant-based origin. One of the main purposes to investigate medicinal plants is to understand the main extracts from plants like alkaloids, flavonoids, etc., which can be used as therapeutics for human diseases. Bioinformatics play a crucial role in the analysis and interpretation of high-throughput data generated using molecular biology-based techniques. Bioinformatics approaches leverage plant-based knowledge discovery by offering new tools for the identification of genes and pathways involved in the production of secondary metabolites and also help to identify therapeutically important active compounds. Here we review bioinformatics strategies associated with important ethnic medicinal plants.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.