Dataset Information

Genetic variation of avian malaria in the tropical Andes: a relationship with the spatial distribution of hosts.

ABSTRACT: BACKGROUND:Avian haemosporidia are obligate blood parasites with an ample range of hosts worldwide. To understand how host communities may influence the diversity of parasites of the neotropics, the spatial genetic variation of avian Plasmodium, Haemoproteus, and Leucocytozoon was examined between areas of host endemism and along the elevational gradient in the tropical Andes. METHODS:A total of 1686 accessions of the cytochrome b gene of avian haemosporidia were selected from 43 publications, that further provides additional information on 14.2% of bird species in the Neotropics. Haplotype groups were identified using a similarity-based clustering of sequences using a cut-off level ≥ 99.3% of sequence identity. Phylogenetic-based analyses were implemented to examine the spatial genetic structure of avian haemosporidia among areas of host endemism and the elevation gradient in the tropical Andes. RESULTS:The areas of avian endemism, including the tropical Andes, can explain the differential distribution of the haemosporidia cytochrome b gene variation. In the tropical Andes region, the total number of avian haemosporidia haplotypes follows a unimodal pattern that peaks at mid-elevation between 2000 and 2500 m above sea level. Furthermore, the haplotype assemblages of obligate blood parasites tend to overlap towards mid-elevation, where avian host diversity tends to be maximized. CONCLUSIONS:Spatial analyses revealed that richness and turnover in haemosporidia suggest an association with montane host diversity, according to elevation in the tropical Andes. In addition, the spatial distribution of haemosporidia diversity is closely associated with patterns of host assemblages over large geographical scale in the tropical Andes and areas of avian endemism nearby.

SUBMITTER: Gil-Vargas DL

PROVIDER: S-EPMC6458820 | biostudies-other | 2019 Apr

REPOSITORIES: biostudies-other

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Publications

Genetic variation of avian malaria in the tropical Andes: a relationship with the spatial distribution of hosts.

Gil-Vargas Diana Lorena DL Sedano-Cruz Raul Ernesto RE

Malaria journal 20190411 1

<h4>Background</h4>Avian haemosporidia are obligate blood parasites with an ample range of hosts worldwide. To understand how host communities may influence the diversity of parasites of the neotropics, the spatial genetic variation of avian Plasmodium, Haemoproteus, and Leucocytozoon was examined between areas of host endemism and along the elevational gradient in the tropical Andes.<h4>Methods</h4>A total of 1686 accessions of the cytochrome b gene of avian haemosporidia were selected from 43 ...[more]

PMID: 30971233

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Project description:Although biodiversity gradients have been widely documented, the factors governing broad-scale patterns in species richness are still a source of intense debate and interest in ecology, evolution, and conservation biology. Here, we tested whether spatial hypotheses (species-area effect, topographic heterogeneity, mid-domain null model, and latitudinal effect) explain the pattern of diversity observed along the altitudinal gradient of Andean rain frogs of the genus Pristimantis. We compiled a gamma-diversity database of 378 species of Pristimantis from the tropical Andes, specifically from Colombia to Bolivia, using records collected above 500 m.a.s.l. Analyses were performed at three spatial levels: Tropical Andes as a whole, split in its two main domains (Northern and Central Andes), and split in its 11 main mountain ranges. Species richness, area, and topographic heterogeneity were calculated for each 500-m-width elevational band. Spatial hypotheses were tested using linear regression models. We examined the fit of the observed diversity to the mid-domain hypothesis using randomizations. The species richness of Pristimantis showed a hump-shaped pattern across most of the altitudinal gradients of the Tropical Andes. There was high variability in the relationship between area and species richness along the Tropical Andes. Correcting for area effects had little impact in the shape of the empirical pattern of biodiversity curves. Mid-domain models produced similar gradients in species richness relative to empirical gradients, but the fit varied among mountain ranges. The effect of topographic heterogeneity on species richness varied among mountain ranges. There was a significant negative relationship between latitude and species richness. Our findings suggest that spatial processes partially explain the richness patterns of Pristimantis frogs along the Tropical Andes. Explaining the current patterns of biodiversity in this hot spot may require further studies on other possible underlying mechanisms (e.g., historical, biotic, or climatic hypotheses) to elucidate the factors that limit the ranges of species along this elevational gradient.

Project description:BackgroundMapping the aboveground biomass of tropical forests is essential both for implementing conservation policy and reducing uncertainties in the global carbon cycle. Two medium resolution (500 m - 1000 m) pantropical maps of vegetation biomass have been recently published, and have been widely used by sub-national and national-level activities in relation to Reducing Emissions from Deforestation and forest Degradation (REDD+). Both maps use similar input data layers, and are driven by the same spaceborne LiDAR dataset providing systematic forest height and canopy structure estimates, but use different ground datasets for calibration and different spatial modelling methodologies. Here, we compare these two maps to each other, to the FAO's Forest Resource Assessment (FRA) 2010 country-level data, and to a high resolution (100 m) biomass map generated for a portion of the Colombian Amazon.ResultsWe find substantial differences between the two maps, in particular in central Amazonia, the Congo basin, the south of Papua New Guinea, the Miombo woodlands of Africa, and the dry forests and savannas of South America. There is little consistency in the direction of the difference. However, when the maps are aggregated to the country or biome scale there is greater agreement, with differences cancelling out to a certain extent. When comparing country level biomass stocks, the two maps agree with each other to a much greater extent than to the FRA 2010 estimates. In the Colombian Amazon, both pantropical maps estimate higher biomass than the independent high resolution map, but show a similar spatial distribution of this biomass.ConclusionsBiomass mapping has progressed enormously over the past decade, to the stage where we can produce globally consistent maps of aboveground biomass. We show that there are still large uncertainties in these maps, in particular in areas with little field data. However, when used at a regional scale, different maps appear to converge, suggesting we can provide reasonable stock estimates when aggregated over large regions. Therefore we believe the largest uncertainties for REDD+ activities relate to the spatial distribution of biomass and to the spatial pattern of forest cover change, rather than to total globally or nationally summed carbon density.

Dataset Information

Genetic variation of avian malaria in the tropical Andes: a relationship with the spatial distribution of hosts.

Publications

Genetic variation of avian malaria in the tropical Andes: a relationship with the spatial distribution of hosts.

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