Evidence map›Paper›PMID 31419237›Full record

ArticlePloS one2019

The largest fish in the world's biggest river: Genetic connectivity and conservation of Arapaima gigas in the Amazon and Araguaia-Tocantins drainages.

Izeni Pires Farias, Stuart Willis, Adam Leão, Júlia Tovar Verba, Marcelo Crossa, Fausto Foresti, Fabio Porto-Foresti, Iracilda Sampaio, Tomas Hrbek

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
5.9field-weighted citation impact, top 4% 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

9 citing papers in PubMed, 50 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

9 authors at 5 institutions in 2 countries.

Izeni Pires FariasLaboratório de Evolução e Genética Animal/LEGAL, Universidade Federal do Amazonas (UFAM), Manaus, Amazonas, Brazil.ORCID 0000-0002-1416-4351
Stuart WillisDepartment of Ichthyology, California Academy of Sciences, San Francisco, CA, United States of America.
Adam LeãoLaboratório de Evolução e Genética Animal/LEGAL, Universidade Federal do Amazonas (UFAM), Manaus, Amazonas, Brazil.
Júlia Tovar VerbaLaboratório de Evolução e Genética Animal/LEGAL, Universidade Federal do Amazonas (UFAM), Manaus, Amazonas, Brazil.
Marcelo CrossaAcqua Consultoria Ambiental, Rio de Janeiro, Brazil.
Fausto ForestiLaboratório de Biologia e Genética de Peixes, Instituto de Biociências, Universidade Estadual Paulista (UNESP), Botucatu, São Paulo, Brazil.
Fabio Porto-ForestiDepartamento de Ciências Biológicas, Faculdade de Ciências, Universidade Estadual Paulista (UNESP), Campus de Bauru, Bauru, Brazil.
Iracilda SampaioInstituto de Estudos Costeiros, Universidade Federal do Pará, Campus Universitário de Bragança, Pará, Brazil.
Tomas HrbekLaboratório de Evolução e Genética Animal/LEGAL, Universidade Federal do Amazonas (UFAM), Manaus, Amazonas, Brazil.
Universidade Federal do Amazonas · BRUniversidade Estadual Paulista (Unesp) · BRCalifornia Academy of Sciences · USUniversidade Federal do Pará · BRUniversidade Federal do Rio Grande do Norte · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arapaima, pirarucu or paiche (Arapaima gigas) is one of the largest freshwater fish in the world, and has a long history of commercial exploitation in the Amazon region. To estimate levels of genetic variability and historical and recent connectivity in Arapaima, we examined variation in eleven microsatellite DNA markers in individuals from 22 localities in Brazil, Colombia, and Peru. The results of analysis of molecular variance, Bayesian clustering and discriminant analysis of principal components showed that Arapaima in our samples represents two major populations, one in the Amazonas and one in the Araguaia-Tocantins River basins. The Amazonas population is further structured by isolation-by-distance with the hydrologically largely unconnected Amapá locality representing the eastern-most extreme of this continuum; gene flow predominates at distances of less than 1500 km with localities separated by over 2000 km dominated by genetic drift and effectively forming different populations. We saw no evidence of multiple species of Arapaima in the Amazonas basin, and analysis of pairwise genetic divergence (FST) with Mantel tests and correlograms indicated that this largest population exhibits a large-scale pattern of isolation-by-distance, with which results from MIGRATE-N agreed. The degree and significance of genetic divergence indicates that most sampled localities represent demographically independent sub-populations, although we did identify several recent migration events between both proximal and more distant localities. The levels of genetic diversity were heterogeneous across sites, including low genetic diversity, effective population sizes, and evidence of genetic bottlenecks in several places. On average the levels of gene diversity and rarefied allelic richness were higher for localities along the Amazonas mainstem than in the tributaries, despite these being the areas of highest fishing pressure, while the lowest values were found in tributary headwaters, where landscape modification is a significant threat. We recommend that managers consider the regional and local threats to these populations and tailor strategies accordingly, strategies which should ensure the ability of young A. gigas to disperse through floodplain corridors to maintain genetic diversity among otherwise sedentary adult sub-populations.

Indexed as

Genetic VariationAnimal DistributionAnimalsBayes TheoremBrazilColombiaConservation of Natural ResourcesFishesGene FlowMicrosatellite RepeatsPeruPopulation DensityRivers

Identifiers

PMID31419237
PMCPMC6697350
OpenAlexW2967222145

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.