Phylogenetic relationship of trees in Arboretum University of North Sumatra based on matK gene
Abstract Arboretum Kwala Bekala campus II University of North Sumatra is one of the Green Open Spaces that has benefits for education, research, and ecological functions formed into an interconnected system. Development of arboretum management continues to be carried out. One of them complements the tree species data in it. Phylogenetic relationship analysis is one of the common ways to recognize and know the diversity of an organism through reconstruction. The existing data is still incomplete because it does not display genetic data and needs to be updated to provide the latest information about species data in the Arboretum. Phylogenetic analysis is used to classify and provide information related to the evolution of kinship between existing tree species. This study aims to identify tree species and conduct a phylogenetic analysis of tree species in the USU Arboretum based on gene mat K. The creation of this phylogeny tree was carried out using the neighbor-joining method using the Mega X application. The study’s results obtained tree data for as many as 62 species from 28 families. Based on the search for sequence data in the GenBank NCBI database, 51 species were obtained whose sequences were available. The phylogenetic tree with gene mat K has a bootstrap value of 75-100%. They form 13 clades consisting of paraphyletic and monophyletic. Almost every type of tree clusters in the same family or genus.
Authors
- Ria Amelia (ORCID: https://orcid.org/0009-0004-7841-2395)
- Afrizal Setiono Tumanggor
- Kansih Sri Hartini (ORCID: https://orcid.org/0000-0003-1005-9121)
- A B Rangkuti (ORCID: https://orcid.org/0000-0002-3019-6038)
- R R Rangkuti
Institutions
- Universitas Sumatera Utara (ID)
Publication Details
- Journal
- IOP Conference Series Earth and Environmental Science
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1088/1755-1315/1433/1/012006
- Primary Topic
- Genomics and Phylogenetic Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00