The genetic diversity of genus <i>Bucephalandra</i> traded in the aquatic biota markets in Jakarta and the surrounding area based on RbCl markers

Nugraha, Media Fitri Isma; Putra, T. A. Tengku Rinalfi; Priyanti,; Yunita, Rossa; Enggarini, Wening; Erlinawati, Ina; Sahroni, Deni; Subamia, I Wayan; Ardi, Idil; Cahyadi, Ashadi

doi:10.17660/actahortic.2022.1334.48

Cited by 1 publication

(1 citation statement)

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“…The rbcL (ribulose-1.5biphosphate carboxylase-oxygenase subunit large) marker is a universal and ideal marker for plants' phylogenetic and taxonomic studies (Ismail et al 2020). The rbcL as a marker has been previously utilized to identify endemic aquatic plants from Kalimantan, Indonesia (Nugraha et al 2022). Identification of aquatic plant species from two different lake ecosystems and one wetland, i.e., the freshwater lake (Lake Ledulu and Oenduy), the saltwater lakes (Oemasapoka and Oesotimori), and the wetland (Landu Leko) using the rbcL marker.…”

Section: Introductionmentioning

confidence: 99%

Diversity of aquatic plants in the Rote Dead Sea area, East Nusa Tenggara, Indonesia, based on rbcL marker

LONTHOR

Miftahudin²,

KAYAT³

et al. 2023

Biodiversitas

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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.

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Section: Introductionmentioning

confidence: 99%