Assessment of genetic diversity in Galega officinalis L. using ISSR and SRAP markers |
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| Authors: | Zan Wang Jun-E Wang Xue-Min Wang Hong-Wen Gao Nickolay I Dzyubenko Vladimir F Chapurin |
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| Institution: | 1. Institute of Animal Science, Chinese Academy of Agriculture Science, Beijing, 100193, China
2. State Scientific Centre N.I. Vavilov All-Russian Research Institute of Plant Industry of RAAS, St. Petersburg, Russia
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| Abstract: | Goat’s rue is well known for its traditional medicinal importance. In the present study, inter-simple sequence repeat (ISSR) and sequence related amplified polymorphism (SRAP) molecular markers were employed for the first time to access the genetic diversity and relationships of 35 wild goat’s rue accessions obtained from Russia and part of Europe countries. A total of 100 bands were amplified by ten ISSR primers, of which 77(77%) were polymorphic, and 59 polymorphic bands (67.1%) were observed in 88 bands amplified by seven SRAP primers. Polymorphic information content (PIC?=?0.426), Shannon’s information index (I?=?0.432), and average expected heterozygosity (He?=?0.292) generated by ISSR primer were higher than that of SRAP analysis (PIC?=?0.422, I?=?0.380, and He?=?0.257,). The study indicated that ISSR were more effective than SRAP markers for assessing the degree of genetic variation of goat’s rue. UPGMA cluster analysis revealed inconsistencies in the clustering patterns, as the Mantel’s test between the dendrograms for ISSR and SRAP data indicated a poor fit for the ISSR and SRAP data types (r?=?0.358). Whereas the pattern of clustering of the genotypes remained more or less the same in SRAP and combined data of ISSR and SRAP. The results of principal coordinates analysis also supports their UPGMA clustering. These results have an important implication for goat’s rue germplasm characterization, improvement, and conservation. |
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