4.7 Article

Estimation of the Genetic Diversity and Population Structure of Thailand's Rice Landraces Using SNP Markers

Journal

AGRONOMY-BASEL
Volume 11, Issue 5, Pages -

Publisher

MDPI
DOI: 10.3390/agronomy11050995

Keywords

rice (Oryza sativa); genetic diversity; population structure; landrace; Thai rice; SNPs

Funding

  1. Center of Excellence on Agricultural Biotechnology, Science and Technology Postgraduate Education and Research Development Office, Office of Higher Education Commission, Ministry of Higher Education, Science, Research and Innovation. (AGBIO/PERDO-CHE)
  2. National Research Council of Thailand (NRCT) [NRCT5-RSA63002-06, NRCT-RTA/812/2563]
  3. Kasetsart University Research and Development Institute (KURDI), Kasetsart University

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The study reveals rich genetic diversity in rice germplasm resources in different geographical regions of Thailand, with high genetic differentiation within populations. The greatest genetic differentiation was found between the northeastern and southern populations, while the smallest genetic differentiation was observed between the northern and northeastern populations. There is a significant relationship between genetic distance and geographic distance among Thai rice landraces.
Rice is a staple food for more than half of the world's population. Modern rice varieties have been developed for high yield and quality; however, there has been a substantial loss of diversity. A greater number of genetically dynamic landraces could offer valuable and useful genetic resources for rice improvement. In this study, the genetic diversity and population structure of 365 accessions of lowland and upland landraces from four populations from different geographical regions of Thailand were investigated using 75 SNP markers. Clustering analyses using maximum likelihood, Principal Coordinate Analysis (PCoA), and Discriminant Analysis of Principal Components (DAPC) clustered these landraces into two main groups, corresponding to indica and japonica groups. The indica group was further clustered into two subgroups according to the DAPC and STRUCTURE analyses (K = 3). The analysis of molecular variance (AMOVA) analysis results revealed that 91% of the variation was distributed among individuals, suggesting a high degree of genetic differentiation among rice accessions within the populations. Pairwise F-ST showed the greatest genetic differentiation between the northeastern and southern populations and the smallest genetic differentiation between the northern and northeastern populations. Isolation-by-distance analysis based on a Mantel test indicated a significant relationship between the genetic distance and geographic distance among the Thai rice landraces. The results from this study provide insight into the genetic diversity of Thai rice germplasm, which will enhance the germplasm characterization, conservation, and utilization in rice genetics and breeding.

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