BACKGROUND AND AIMS: Myrica rivas-martinezii is a critically endangered endemic of the laurel forest of the Canary Islands and co-occurs very close to M. faya. Some authors suggest that M. rivas-martinezii and M. faya are two morphs of the same species, so molecular markers were used to estimate the levels and structuring of genetic variation within and among natural populations in order to evaluate genetic relationships between these two congeners. METHODS: Six polymorphic microsatellite (simple sequence repeat, SSR) markers were used to determine the genetic diversity and the genetic relationship between both Myrica species. KEY RESULTS: Most of the natural populations analysed were in Hardy-Weinberg equilibrium for both taxa. Analysis of molecular variance (AMOVA) for both species revealed that most of the genetic variability detected was contained within populations (92.48 and 85.91 % for M. faya and M. rivas-martinezii, respectively), which it is consistent with outcrossing and dioecious plants. Estimates of interpopulation genetic variation, calculated from F(ST) and G'(ST), were quite low in the two taxa, and these values did not increase substantially when M. rivas-martinezii and M. faya populations were compared. The UPGMA dendrogram based on Nei's genetic distance clustered the populations by their island origin, independently of taxon. In fact, the mixture of individuals of both taxa did not appreciably disrupt the intrapopulational genetic cohesion, and only 3.76 % variation existed between species. CONCLUSIONS: All the results obtained using molecular markers indicate clearly that both taxa share the same genetic pool, and they are probably the same taxa. Considering that M. rivas-martinezii is classified as at risk of extinction, there should be a change of focus of the current management actions for the conservation of this putatively endangered Canarian endemic.
BACKGROUND AND AIMS: Myrica rivas-martinezii is a critically endangered endemic of the laurel forest of the Canary Islands and co-occurs very close to M. faya. Some authors suggest that M. rivas-martinezii and M. faya are two morphs of the same species, so molecular markers were used to estimate the levels and structuring of genetic variation within and among natural populations in order to evaluate genetic relationships between these two congeners. METHODS: Six polymorphic microsatellite (simple sequence repeat, SSR) markers were used to determine the genetic diversity and the genetic relationship between both Myrica species. KEY RESULTS: Most of the natural populations analysed were in Hardy-Weinberg equilibrium for both taxa. Analysis of molecular variance (AMOVA) for both species revealed that most of the genetic variability detected was contained within populations (92.48 and 85.91 % for M. faya and M. rivas-martinezii, respectively), which it is consistent with outcrossing and dioecious plants. Estimates of interpopulation genetic variation, calculated from F(ST) and G'(ST), were quite low in the two taxa, and these values did not increase substantially when M. rivas-martinezii and M. faya populations were compared. The UPGMA dendrogram based on Nei's genetic distance clustered the populations by their island origin, independently of taxon. In fact, the mixture of individuals of both taxa did not appreciably disrupt the intrapopulational genetic cohesion, and only 3.76 % variation existed between species. CONCLUSIONS: All the results obtained using molecular markers indicate clearly that both taxa share the same genetic pool, and they are probably the same taxa. Considering that M. rivas-martinezii is classified as at risk of extinction, there should be a change of focus of the current management actions for the conservation of this putatively endangered Canarian endemic.
Authors: Felicia Oliva-Tejera; Juli Caujapé-Castells; Josefa Navarro-Déniz; Alfredo Reyes-Betancort; Stephan Scholz; Mario Baccarani-Rosas; Nereida Cabrera-García Journal: Am J Bot Date: 2006-08 Impact factor: 3.844
Authors: Miguel A González-Pérez; Craig Newton; Pedro A Sosa; Elizabeth Rivero; Edna A González-González Journal: Genet Mol Biol Date: 2009-01-10 Impact factor: 1.771
Authors: Francisco J Valtueña; Tomás Rodríguez-Riaño; Josefa López; Carlos Mayo; Ana Ortega-Olivencia Journal: PLoS One Date: 2017-06-02 Impact factor: 3.240
Authors: Maria S Lopes; Duarte Mendonça; Sílvia X Bettencourt; Ana R Borba; Catarina Melo; Cláudio Baptista; Artur da Câmara Machado Journal: AoB Plants Date: 2014-06-26 Impact factor: 3.276