MIFTAHUDIN MIFTAHUDIN
Department of Biology, Faculty of Mathematics and Natural Sciences, Institut Pertanian Bogor. Jl. Agatis, Dramaga Campus, Bogor 16680, West Java, Indonesia

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Diversity of aquatic plants in the Rote Dead Sea area, East Nusa Tenggara, Indonesia, based on rbcL marker DESY WULANSARI LONTHOR; MIFTAHUDIN MIFTAHUDIN; KAYAT KAYAT; ATRIYON JULZARIKA; LUKI SUBEHI; ELISA ISWANDONO; ALFRED O. M DIMA; AAN DIANTO; FAJAR SETIAWAN; MEDIA FITRI ISMA NUGRAHA
Biodiversitas Journal of Biological Diversity Vol. 24 No. 2 (2023)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d240217

Abstract

Abstract. Lonthor DW, Miftahudin, Kayat, Julzarika A, Subehi L, Iswandono E, Dima AOM, Dianto A, Setiawan F, Nugraha MFI. 2023. Diversity of aquatic plants in the Rote Dead Sea area, East Nusa Tenggara, Indonesia, based on rbcL marker. Biodiversitas 24: 810-818. The Rote Dead Sea area in Rote Islands has two freshwater and 24 saltwater lakes. The saltwater lakes have salinity levels varied between 0-100 ppt. Every lake has specific aquatic plant species. Species identification through morphological analysis only has its limitations; therefore, DNA barcoding is a preference due to an effective, accurate, and faster method for species identification. In this study, we used the rbcL marker to identify and analyze the diversity of the aquatic plant species in lakes Ledulu, Oenduy, Oemasapoka, Oesotimori, and Landu Leko. Plants samples' DNA was amplified using rbcL primers, and the amplicons were sequenced. Species identification was based on morphological study and the rbcL sequence database. Diversity analyses were performed based on pairwise genetic distances, analysis of molecular variance, and genetic relationships based on the Kimura 2 parameter. The results showed that all 20 aquatic plants were correctly identified, and high genetic diversity was discovered. AMOVA analysis showed that genetic variations within the population were higher than among the population. All plant species were grouped into four groups based on the phylogenetic tree and fractional component analyses. The species belonging to the certain family were grouped in the same clade and the closely related plant families. The rbcL marker can be used to discriminate aquatic plant species and analyze their genetic diversity and relationships.
Metabolite profiles and biomarkers of three Selaginella (Selaginellaceae) medicinal plant species in Java Island, Indonesia AMANDA KHOIRUNISA; TATIK CHIKMAWATI; GIRI NUGROHO; MIFTAHUDIN MIFTAHUDIN
Biodiversitas Journal of Biological Diversity Vol. 26 No. 1 (2025)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d260143

Abstract

Abstract. Khoirunisa A, Chikmawati T, Nugroho G, Miftahudin. 2025. Metabolite profiles and biomarkers of three Selaginella (Selaginellaceae) medicinal plant species in Java Island, Indonesia. Biodiversitas 26: 434-443. Metabolite content in plants is an important taxonomic marker that facilitates the realistic delimitation of species. Substantial improvement is needed for the metabolomic data of several fern species, including Selaginella, which is widely used as a medicinal plant on Java Island. Therefore, this research aimed to profile metabolite compounds in Selaginella ornata, S. plana, and S. willdenowii, and identify biomarkers for species differentiation. Metabolite content and data were determined with Liquid Chromatography-Mass Spectrometry (LC-MS) and MZmine 3.1.0 beta software, respectively. Meanwhile, metabolite profiling, heatmap clusters, and cluster analysis were carried out using MetaboAnalyst 5.0. A total of 113 metabolites were detected in three Selaginella species observed. Based on metabolite characteristics, cluster analysis categorized all individuals into three groups, showing that individuals from the same species were more similar than others, with S. ornata metabolites appearing more similar to S. willdenowii than to S. plana. Three species had similarities in the compounds 1,3,5-benzenetricarbonitrile, 2-hydroxyisocaproic acid, 3-furoic acid, 3-methyl-2-oxovaleric acid, amentoflavone, avobenzone, ibuprofen, kojic acid, and skyrin. Metabolites only possessed by each species of S. plana, S. ornata, and S. willdenowii included 4-vinylphenol, velutin, and axahine B, respectively. This research reported for the first time several low-weight secondary metabolites with potential application as biomarkers to differentiate three species.