Simple Sequence Repeat-Based Genetic Diversity Analysis of Alfalfa Varieties

Alfalfa, as a high-quality forage resource, has high nutritional value. Due to the high phenotypic similarity among its varieties and the susceptibility to environmental influences, challenges are encountered in variety identification and breeding. In this study, 23 simple sequence repeat (SSR) markers were screened to distinguish 49 alfalfa varieties, among which 21 SSR markers showed polymorphic fragments. The results indicated that these 21 markers were highly polymorphic, with an average of 5.91 alleles per SSR marker locus and an average polymorphic information content (PIC) of 0.66, suggesting a strong discriminatory efficiency. The results of a population genetic diversity analysis showed that there was a relatively high level of genetic diversity among the tested materials. The analysis of molecular variance (AMOVA) results indicated that the genetic variation within the population of the 49 alfalfa germplasm samples was the main source of the total variation. The results of genetic distance and genetic identity analyses showed that the genetic relationship between population 1 and population 4 was the most distant, while the relationship between population 2 and population 3 was the closest. The cluster analysis results showed that samples S16 and S55 formed a separate branch; that is, there were two main genetic subgroups. These results confirm that SSR markers are effective tools for genetic characterization and precise discrimination of alfalfa varieties and have important application values in breeding, variety registration, and germplasm resource conservation.

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Publication Details

Journal
International Journal of Molecular Sciences
Published
2025-05-29
DOI
https://doi.org/10.3390/ijms26115246
Citations
3
Primary Topic
Genetic diversity and population structure
Type
article
Field-Weighted Citation Impact
5.45
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article

Simple Sequence Repeat-Based Genetic Diversity Analysis of Alfalfa Varieties

Chengti Xu, Yuanyuan Zhao, Changying Guo, Xiaoli Wei et al.
3 citations
International Journal of Molecular Sciences
Genetic diversity and population structure
5.45
article

Simple Sequence Repeat-Based Genetic Diversity Analysis of Alfalfa Varieties

Chengti Xu, Yuanyuan Zhao, Changying Guo, Xiaoli Wei, Wei Wang, Jie Wang, Xiaojian Pu
article en
3 citations

Abstract

Alfalfa, as a high-quality forage resource, has high nutritional value. Due to the high phenotypic similarity among its varieties and the susceptibility to environmental influences, challenges are encountered in variety identification and breeding. In this study, 23 simple sequence repeat (SSR) markers were screened to distinguish 49 alfalfa varieties, among which 21 SSR markers showed polymorphic fragments. The results indicated that these 21 markers were highly polymorphic, with an average of 5.91 alleles per SSR marker locus and an average polymorphic information content (PIC) of 0.66, suggesting a strong discriminatory efficiency. The results of a population genetic diversity analysis showed that there was a relatively high level of genetic diversity among the tested materials. The analysis of molecular variance (AMOVA) results indicated that the genetic variation within the population of the 49 alfalfa germplasm samples was the main source of the total variation. The results of genetic distance and genetic identity analyses showed that the genetic relationship between population 1 and population 4 was the most distant, while the relationship between population 2 and population 3 was the closest. The cluster analysis results showed that samples S16 and S55 formed a separate branch; that is, there were two main genetic subgroups. These results confirm that SSR markers are effective tools for genetic characterization and precise discrimination of alfalfa varieties and have important application values in breeding, variety registration, and germplasm resource conservation.

International Journal of Molecular SciencesVol. 26(11)
Qinghai University (CN), Ministry of Agriculture and Rural Affairs (CN)
Openalex Percentile: Top 5%
Genetic diversity and population structure
5.45
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