The genus Rhynchostylis contains important commercial orchids in Thailand with high diversity, but limited information is available regarding the genetic diversity of these orchids. Rhynchostylis has a short blooming period, which makes more difficult to distinguish between variations based only on their appearances. This study evaluated the genetic variation among six accessions of Rhynchostylis, along with one Vanda and one Aerides accession collected from different locations in the northeast of Thailand using 16 polymorphic inter-simple sequence repeat (ISSR) markers. The ISSR markers comprised 83 alleles with sizes ranging from 208 to 1,223 bp. The average number of alleles per locus was 5.19, with a standard deviation of 3.49. The average percentage of polymorphic bands was 95.21%. Polymorphism information content (PIC) values ranged between 0.05 and 0.44, with a mean average of 0.21. The calculated genetic similarity coefficients ranged from 0.383 to 0.914, suggesting a high level of genetic diversity among all the samples. UPGMA dendrograms were created using genetic similarity coefficients and divided into three main clusters. Cluster I contained four closely related R. gigantea orchids. Cluster II comprised two accessions, R. gigantea var. vivaphandhul and V. coelestis, while Cluster III contained two accessions of R. retusa and A. houlettiana. Based on ISSR data, the genetic similarities among the 8 orchid accessions do not correlate with flower color phenotypes and sampling locations, except for Cluster I. The results suggest that ISSR markers can effectively assess the genetic information of both wild and cultivated orchid resources. This study provides useful information for further development of novel markers specific to orchid varieties and for assisting the success of orchid breeding programs through the selection of parent plants.

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• Phylogenetic relationship based on DNA barcodes and comparative analysis of phytochemical contents among Rhynchostylis orchids in Thailand
  Juthaporn Saengprajak, Jirapa Phetsom, Aphidech Sangdee, Arnusorn Saengprajak, Thanwanit Thanyasiriwat, Wuttipong Mahakham
  Scientific Reports.2026;[Epub]     CrossRef
• Development of ISSR-derived SCAR markers for precise identification and conservation of Rhynchostylis gigantea and its variety rubrum in Thailand
  Juthaporn Saengprajak, Thanwanit Thanyasiriwat, Arnusorn Saengprajak, Aphidech Sangdee
  South African Journal of Botany.2026; 189: 551.     CrossRef

Bakanae disease is an important fungal disease caused by Gibberella fujikuroi. The outbreak of rice bakanae disease causes the most important problems for rice producing countries and affects almost all known rice cultivars. Identifying balance disease resistance in Korean Rice Landrace with diverse genetic sources is important for efficient breeding. In this study, we tried to find out useful genetic resources for bakanae resistant cultivar. The result suggested highly strong 3 varieties (‘IT010631’, ‘IT009118’ and ‘IT009221’.) to be used in breeding program. Additionally, we applied reported marker related qFfR1 bakanae disease to accessions which showed strong resistance. It is expected that these resources can be used to develop useful cultivars for each trait. Especially, accessions showed strong resistance in this study have different genotype with reported resistant resources, they would be used to find other genes related to bakanae resistance.

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• Genome-Wide Association Study to identify Bakanae disease resistance-related QTLs carrying novel candidate genes in rice (Oryza sativa L.)
  Yuting Zeng, Fang-Yuan Cao, Ah-Rim Lee, Dongryung Lee, Backki Kim, Soon-Wook Kwon
  npj Science of Plants.2025;[Epub]     CrossRef
• Current insights on rice (Oryza sativa L.) bakanae disease and exploration of its management strategies
  Chinnannan Karthik, Qingyao Shu
  Journal of Zhejiang University-SCIENCE B.2023; 24(9): 755.     CrossRef
• Evaluation of Major Rice Varieties for Bakanae Disease Resistance in Korea
  Sais-Beul Lee, Ju-Won Kang, Ji-Yoon Lee, Gi-Un Seong, Youngho Kwon, So-Myeong Lee, Nkulu Rolly Kabang, Jun-Hyeon Cho, Seong-Hwan Oh, Dongjin Shin, Jong-Hee Lee, Ki-Won Oh, Dong-Soo Park
  Korean Journal of Breeding Science.2023; 55(2): 103.     CrossRef