Genetic diversity and population structure of Indonesian foxtail millet (Setaria italica (L.) P. Beauv.) germplasm revealed by SSR markers

Authors

  • Ramlah Ramlah Department of Biology Education, Faculty of Teacher Training and Education, Universitas Sulawesi Barat; Graduate Program, Department of Tropical Biology, Faculty of Biology, Universitas Gadjah Mada
  • Marcia Bunga Pabendon Research Center for Food Crops, National Research and Innovation Agency, Republic of Indonesia (BRIN)
  • Budi Setiadi Daryono Laboratory of Genetics and Plant Breeding, Faculty of Biology, Universitas Gadjah Mada

DOI:

https://doi.org/10.24252/bio.v14i1.62275

Keywords:

Foxtail millet, Genetic diversity, Microsatellite markers, Germplasm, Indonesia

Abstract

Foxtail millet (Setaria italica (L.) P. Beauv.) is cultivated in arid and semi-arid regions of Indonesia, yet genetic information on Indonesian germplasm remains limited. This study assessed the genetic diversity and population structure of 21 foxtail millet accessions collected from five Indonesian provinces using 30 polymorphic SSR markers distributed across nine chromosomes. DNA was extracted from 12-14-day-old seedlings and amplified by PCR with annealing temperatures ranging from 50 to 57°C. The polymorphic information content (PIC) was calculated using PowerMarker v3.25, while cluster analysis, genetic distance matrices, and Principal Coordinate Analysis (PCA) were performed using NTSYS-pc 2.1. Cophenetic correlation analysis was conducted using WinBoot software. Results revealed moderate to high genetic diversity with PIC values ranging from 0.09 (b190) to 0.78 (p16, b247, b223), averaging 0.54. A total of 100 alleles were detected with 2-6 alleles per locus. UPGMA-based cluster analysis grouped the germplasm into two main clusters at a similarity coefficient of 0.28, with Cluster I containing 11 accessions and Cluster II containing 10 accessions. Genetic distance values ranged from 0.11 (Minna' and Lasse') to 0.87 (ICE-276-12B-1 and Balla Pulut/Wete), indicating substantial genetic variation. PCA analysis confirmed the clustering pattern, with a strong cophenetic correlation (r = 0.81; good fit).

Downloads

Published

2026-06-30

Issue

Section

Research Articles

Most read articles by the same author(s)