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Discerning species boundaries among closely related taxa is fundamental to studying evolution and biodiversity. However, species boundaries can be difficult to access in plants because ongoing divergence and speciation may leave an evolutionary footprint similar to introgression, which occurs frequently among species and genera. In this study, we sought to determine species boundaries between two closely related alpine shrubs,  Rosa sericea  and  Rosa omeiensis , using population genetics, environmental data and ecological niche modeling, and morphological traits. We analyzed populations of  R. sericea  and  R. omeiensis  using genetic markers comprising a fragment of the single-copy nuclear gene, LEAFY, micro-satellites (EST-SSR), and plastid DNA sequences. The DNA sequence data suggested clusters of populations consistent with geography but not with previously proposed species boundaries based on morphology. Nevertheless, we found that the ecological niches of the previously proposed species only partially overlap. Thus, we suspect that these species are in the process of parapatric speciation; that is, differentiating along an ecological gradient, so that they exhibit differing morphology. Morphology has previously been the basis of recognizing the species  R.   sericea  and  R. omeiensis , which are the most widely distributed species within a broader  R. sericea  complex that includes several other narrow endemics. Here, we recognize  R.   sericea  and  R. omeiensis  as independent species based on morphological and ecological data under the unified species concept, which emphasizes that these data types are of equal value to DNA for determining species boundaries and refining taxonomic treatments. While the DNA data did not delimit species within the  R.   sericea  complex, we expect to develop and utilize new, robust DNA tools for understanding speciation within this group in future studies.

frontiers in plant science

Species Boundaries and Parapatric Speciation in the Complex of Alpine Shrubs, Rosa sericea (Rosaceae), Based on Population Genetics and Ecological Tolerances