Abstract
BackgroundWe developed simple sequence repeats (SSR) for Eremanthus erythropappus (DC.) MacLeish, an endangered tree species endemic to the Brazilian Savanna and Atlantic Forest biomes, and tested their transferability to two closely related Eremanthus species.ResultsUsing a genomic library enriched with tandem repeat motifs, we identified 16 primer pairs, and characterized them in two populations. Nine primers amplified the expected size fragments and seven SSRs were polymorphic, providing a total of 38 alleles and an average of 4.22 alleles per marker. The polymorphic information content (PIC) ranged from 0.44 to 0.94 with an average of 0.65. The average observed heterozygosity across all loci varied from 0.61 to 1.00. The observed (HO) and expected (HE) heterozygosity within the two populations varied from 0.65 to 1.00 and from 0.31 to 1.00, respectively.ConclusionsThese newly developed SSR markers are a powerful tool for population genetic analyses and may be useful in studies on species ecology, evolution, and taxonomy.
Highlights
We developed simple sequence repeats (SSR) for Eremanthus erythropappus (DC.) MacLeish, an endan‐ gered tree species endemic to the Brazilian Savanna and Atlantic Forest biomes, and tested their transferability to two closely related Eremanthus species
None of the tested loci showed significant deviation from Hardy–Weinberg equilibrium, nor did they exhibit a high frequency of null alleles
Six SSRs (Ere03, Ere07, Ere08, Ere09, Ere13, and Ere14) cross amplified in E. incanus and E. glomerulatus
Summary
We developed simple sequence repeats (SSR) for Eremanthus erythropappus (DC.) MacLeish, an endan‐ gered tree species endemic to the Brazilian Savanna and Atlantic Forest biomes, and tested their transferability to two closely related Eremanthus species. Eremanthus erythropappus (DC.) MacLeish is an endemic tree species native to the high-elevation mountains of the Brazilian Savanna and Atlantic Forest biomes [12, 13]. Microsatellite loci present the highest information content among all classes of molecular markers [27]. These markers can be analyzed using polymerase chain reaction (PCR), allowing for a highly informative evaluation of a large number of loci, as well
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