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Screening and validation of salt-stress responsive cg-SSR markers in wheat (Triticum aestivum L.) germplasm of Pakistan.

Mishal KhalidRehana KausarArmghan ShahzadGhulam Muhammad AliSania Begum
Published in: Molecular biology reports (2023)
Total 30 SSR markers were utilized to test salinity resistance genes in wheat genotypes. Three (10%) of which were monomorphic, one (3.34%) showed no result, and the other 26 (86%) were polymorphic. Using 30 polymorphic markers discovered total 37 alleles. The polymorphic information content (PIC), quantifies each SSR locus capacity to discriminate between wheat, varied from 0.00 to 0.38 with an average of 0.19. Association analysis revealed that 26 primers were associated with morphological features, 03 with root length and the remaining 23 with germination. Utilizing morphological data, stress tolerance index (STI) was designed concluding that Auqab-2000, Margala-99 and Ufaq showed better resistance against salinity among other wheat genotypes. Cluster analysis demonstrated that wheat genotypes have vast genetic variability.
Keyphrases
  • electronic health record
  • gene expression
  • machine learning
  • stress induced
  • data analysis
  • health information
  • deep learning
  • transcription factor
  • big data
  • bioinformatics analysis
  • dna methylation