Evidence map›Paper›PMID 37391644›Full record

ArticleParasitology research2023

Prevalence and genetic diversity of avian haemosporidian parasites in islands within a mega hydroelectric dam in the Brazilian Amazon.

Carolina C Anjos, Thiago Bicudo, Alan Fecchio, Marina Anciães, Bruno S Mathias, Carolina R F Chagas, Jeffrey A Bell, Lilian O Guimarães, Eliana F Monteiro, Karin Kirchgatter

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Article in Parasitology research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 7 institutions in 4 countries.

Carolina C AnjosPrograma de Pós-Graduação em Medicina Tropical, Instituto de Medicina Tropical, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, 05403-000, Brazil.
Thiago BicudoInstituto de Desenvolvimento Sustentável Mamirauá, Tefé, AM, 69553-225, Brazil.
Alan FecchioCentro de Investigación Esquel de Montaña y Estepa Patagónica (CIEMEP), CONICET - Universidad Nacional de la Patagonia San Juan Bosco, Esquel, Chubut, Argentina.
Marina AnciãesInstituto Nacional de Pesquisas da Amazônia, Coordenação de Biodiversidade, Manaus, AM, 69081-000, Brazil.
Bruno S MathiasPrograma de Pós-Graduação em Medicina Tropical, Instituto de Medicina Tropical, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, 05403-000, Brazil.
Carolina R F ChagasNature Research Centre, 08412, Vilnius, Lithuania.
Jeffrey A BellDepartment of Biology, University of North Dakota, 10 Cornell Street, Grand Forks, ND, 58202, USA.
Lilian O GuimarãesLaboratório de Bioquímica e Biologia Molecular, Instituto Pasteur, São Paulo, SP, 01027-000, Brazil.
Eliana F MonteiroLaboratório de Bioquímica e Biologia Molecular, Instituto Pasteur, São Paulo, SP, 01027-000, Brazil.
Karin KirchgatterPrograma de Pós-Graduação em Medicina Tropical, Instituto de Medicina Tropical, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, 05403-000, Brazil. karink@usp.br.
Instituto PasteurUniversidade de São Paulo · BRInstituto de Desenvolvimento Sustentável Mamirauá · BRNational Institute of Amazonian Research · BRNational University of Patagonia San Juan Bosco · ARNature Research Centre · LTUniversity of North Dakota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Brazilian Amazon supports an extremely diverse avifauna and serves as the diversification center for avian malaria parasites in South America. Construction of hydroelectric dams can drive biodiversity loss by creating islands incapable of sustaining the bird communities found in intact forest sites. Besides anthropogenic actions, the presence of parasites can also influence the dynamics and structure of bird communities. Avian malaria (Plasmodium) and related haemosporidian parasites (Haemoproteus and Leucocytozoon) are a globally distributed group of protozoan parasites recovered from all major bird groups. However, no study to date has analyzed the presence of avian haemosporidian parasites in fragmented areas such as land bridge islands formed during artificial flooding following the construction of hydroelectric dams. The aim of this study is to assess the prevalence and molecular diversity of haemosporidians in bird communities inhabiting artificial islands in the area of the Balbina Hydroelectric Dam. The reservoir area covers 443,700 ha with 3546 islands on the left bank of the Uatumã River known to contain more than 400 bird species. We surveyed haemosporidian infections in blood samples collected from 445 understory birds, belonging to 53 species, 24 families, and 8 orders. Passeriformes represented 95.5% of all analyzed samples. We found a low overall Plasmodium prevalence (2.9%), with 13 positive samples (two Plasmodium elongatum and 11 Plasmodium sp.) belonging to eight lineages. Six of these lineages were previously recorded in the Amazon, whereas two of them are new. Hypocnemis cantator, the Guianan Warbling Antbird, represented 38.5% of all infected individuals, even though it represents only 5.6% of the sampled individuals. Since comparison with Plasmodium prevalence data prior to construction of Balbina is not possible, other studies in artificially flooded areas are imperative to test if anthropogenic flooding may disrupt vector-parasite relationships leading to low Plasmodium prevalence.

Indexed as

Bird DiseasesHaemosporidaMalaria, AvianParasitesPasseriformesPlasmodiumAnimalsBrazilGenetic VariationHumansIslandsPrevalenceArtificial islandsAvian malariaParasite diversityPhylogenetic diversityPlasmodium

Identifiers

PMID37391644
OpenAlexW4382652104

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.