Amomum villosum, serving as an important medicinal material, is complex in the genetic background of germplasm resources. Exploring the genetic diversity and genetic relationship of germplasm resources is conducive to clarifying the germplasm source and genetic background of A. villosum, so as to improve the efficiency of parent selection and variety breeding of A. villosum. Seventy-one pairs of SSR primers were used for PCR amplification of 84 A. villosum samples by polyacrylamide gel electrophoresis. Fifty-four pairs of SSR primers with high polymorphism were screened out for the analysis of genetic diversity. The results showed that 293 alleles were detected from 84 germplasm resources by 54 pairs of SSR primers, with an average of 5.32 alleles for each pair of primers, and a variation range of 3-8, and the primer AVL12 marked the highest number of alleles. The PIC value of each locus varied from 0.068 7 to 0.828 9, with an average of 0.529 9, and the highest was marked by AVL24. The genetic diversity of A. villosum was the highest in Yunnan, followed by Guangxi, and the lowest was found in Guangdong. The population structure analysis and cluster analysis showed that the samples were classified into two groups. In terms of origin, samples from Yunnan and Guangxi had a close genetic relationship, and there was no obvious differentiation of A, villosum resources from different origins. In this study, 54 pairs of SSR markers were used to analyze the genetic diversity and population structure of 84 germplasm resources, which can reflect the genetic relationship between A. villosum samples from different germplasm sources and different populations, thus providing a theoretical basis for the collection, research, and breeding of A. villosum resources.
Alleles ; Amomum/genetics* ; China ; Genetic Variation ; Microsatellite Repeats/genetics* ; Plant Breeding

Freshly collected seeds of Amomum tsaoko demonstrate obvious dormancy. Therefore, the selection of stable reference genes during seed dormancy release is very important for the subsequent functional research of related genes. In this study, ten commonly used reference genes(GAPDH, 40S, actin, tubulin, EIF4A-9, EIF2α, UBC, UBCE2, 60S, and UBQ) were selected as candidates for quantitative Real-time polymerase chain reaction(qRT-PCR) of the embryo samples of A. tsaoko at different dormancy release stages. Three kinds of software(BestKeeper, geNorm, and Normfinder) and the Delta CT method were used to evaluate the expression stability of the candidate reference genes, and the RefFinder online tool was employed to integrate the results and generate a comprehensive ranking. The results showed that the expression levels of the ten candidate reference genes differed greatly in different embryo samples. GAPDH and UBC had high expression levels, as manifested by the small Ct values. GeNorm identified 40S and UBCE2 as the most stable genes. NormFinder ranked EIF2α as the most stable gene and UBC as the least stable gene. UBCE2 was found to be the most stable gene and actin the least stable one by BestKeeper. Delta CT analysis suggested that the expression of 40S was most stable. UBCE2 was recommended as the most stably expressed gene by RefFinder. Thus, UBCE2 is the ideal reference gene for qRT-PCR analysis of A. tsaoko seeds at different dormancy release stages. The results may lay a foundation for analyzing the expression of related genes during seed dormancy release of A. tsaoko.
Amomum ; Gene Expression Profiling ; Real-Time Polymerase Chain Reaction ; Reverse Transcriptase Polymerase Chain Reaction ; Seeds/genetics*