Aim  Edaphic heterogeneity may be an important driver of population differentiation in the Amazon but remains to be investigated in trees. We compared the phylogeographic structure across the geographic distribution of two Protium (Burseraceae) species with different degrees of edaphic specialization: Protium alvarezianum, an edaphic specialist of white‐sand habitat islands; and Protium subserratum, an edaphic generalist found in white sand as well as in more widespread soil types. We predicted that in the edaphic specialist, geographic distance would structure populations more strongly than in the edaphic generalist, and that soil type would not structure populations in the edaphic generalist unless habitat acts as a barrier promoting population differentiation. Location  Tropical rain forests of the Peruvian and Brazilian Amazon, Guyana and French Guiana. Methods  We sequenced 1209–1211 bp of non‐coding nuclear ribosomal DNA (internal transcribed spacer and external transcribed spacer) and a neutral low‐copy nuclear gene (phytochrome C) from P. subserratum (n = 65, 10 populations) and P. alvarezianum (n = 19, three populations). We conducted a Bayesian phylogenetic analysis, constructed maximum parsimony haplotype networks and assessed population differentiation among groups (soil type or geographic locality) using analysis of molecular variance and spatial analysis of molecular variance. Results  The edaphic specialist exhibited considerable genetic differentiation among geographically distant populations. The edaphic generalist showed significant genetic differentiation between the Guianan and Amazon Basin populations. Within Peru, soil type and not geographic distance explained most of the variation among populations. Non‐white‐sand populations in Peru exhibited lower haplotype/nucleotide diversity than white‐sand populations, were each other’s close relatives, and formed an unresolved clade derived from within the white‐sand populations. Main conclusions  Geographic distance is a stronger driver of population differentiation in the edaphic specialist than in the generalist. However, this difference did not appear to be related to edaphic generalism per se as adjacent populations from both soil types in the edaphic generalist did not share many haplotypes. Populations of the edaphic generalist in white‐sand habitats exhibited high haplotype diversity and shared haplotypes with distant white‐sand habitat islands, indicating that they have either efficient long‐distance dispersal and/or larger ancestral effective population sizes and thus retain ancestral polymorphisms. These results highlight the importance of edaphic heterogeneity in promoting population differentiation in tropical trees.

One of the main advantages of using a scientific workflow management system (SWfMS) to orchestrate data flows among scientific activities is to control and register the whole workflow execution. The execution of activities within a workflow with high performance computing (HPC) presents challenges in SWfMS execution control. Current solutions leave the scheduling to the HPC queue system. Since the workflow execution engine does not run on remote clusters, SWfMS are not aware of the parallel strategy of the workflow execution. Consequently, remote execution control and provenance registry of the parallel activities is very limited from the SWfMS side. This work presents a set of components to be included on the workflow specification of any SWMfS to control parallelization of activities as MTC. In addition, these components can gather provenance data during remote workflow execution. Through these MTC components, the parallelization strategy can be registered and reused, and provenance data can be uniformly queried. We have evaluated our approach by performing parameter sweep parallelization in solving the incompressible 3D Navier-Stokes equations. Experimental results show the performance gains with the additional benefits of distributed provenance support.

We present a dated phylogenetic tree for the Neotropical genus Attalea (Arecaceae). We used six orthologues from the nuclear WRKY gene family across 98 accessions to address relationships among species and biogeographical hypotheses. We found that the formerly recognized groups within Attalea are not monophyletic and therefore there is no support for multiple genera as previously thought. Species of Attalea-like palms from the Atlantic forest form a well-supported clade sister to the Attalea species from Amazonia, the Andean valleys and Mesoamerica. Dates for the main divergence events suggest a relationship with the development of the dry forests that now span eastern South America and the now-lost Pebas Lake region in the western Amazon. Attalea crassispatha possibly colonized Hispaniola by a long-distance dispersal event, not via the land bridge Great Antilles Avian Ridge (GAAR), before the Panama channel closed. The common ancestor of Attalea appears to have been an Atlantic forest clade c. 30 Mya. The early split between the Atlantic-forest clade and the two Amazoniannorthern Andean clades was probably the result of climatic changes that caused an increase in aridity in South America.

These new microsatellite markers will be useful in studies of genetic diversity, population differentiation, and gene flow across habitat types in P. subserratum.

The formation of spatial genetic structure (SGS) may originate from different patterns of seed deposition in the landscape, and is mostly determined by seed dispersal limitation. After dispersal, mechanisms such as filtering by environmental factors or attack by herbivores/pathogens throughout plant development stages, and potentially either disrupt or intensify SGS patterns. We investigated how the genotype of Protium subserratum (Burseraceae), a common tree species in the Ducke Reserve, Brazil, is distributed across the landscape. We used seven microsatellite markers to assess the SGS among plants at different life stages and in different environments. By quantifying the patterns of relatedness among plants of different sizes, we inferred the ontogenetic stage in which SGS changes occurred, and compared these effects across soil types. Relatedness among seedlings decreased when distance between seedlings increased, especially for the youngest seedlings. However, this trend was not continued by older plants, as relatedness values were higher among neighboring individuals of the juvenile and adult size class. Contrasting relatedness patterns between seedlings and larger individuals suggests a trade-off between the negative effects of being near closely-related adults (e.g. due to herbivore and pathogen attack) and the advantage of being in a site favorable to establishment. We also found that soil texture strongly influenced density-dependence patterns, as young seedlings in clay soils were more related to each other than were seedlings in bottomland sandy soils, suggesting that the mechanisms that create and maintain patterns of SGS within a population may interact with environmental heterogeneity.