Evidence map›Paper›PMID 29261722›Full record

ArticlePloS one2017

Multifactorial genetic divergence processes drive the onset of speciation in an Amazonian fish.

Luiz Jardim de Queiroz, Gislene Torrente-Vilara, Claudio Quilodran, Carolina Rodrigues da Costa Doria, Juan I Montoya-Burgos

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 23 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

5 authors at 3 institutions in 2 countries.

Luiz Jardim de QueirozDepartment of Genetics and Evolution, University of Geneva, Geneva, Switzerland.ORCID http://orcid.org/0000-0002-5524-6281
Gislene Torrente-VilaraDepartment of Marine Sciences, Universidade Federal de São Paulo, Campus Baixada Santista, Santos/SP, Brazil.
Claudio QuilodranDepartment of Genetics and Evolution, University of Geneva, Geneva, Switzerland.
Carolina Rodrigues da Costa DoriaDepartment of Biology, Universidade Federal de Rondônia, Porto Velho/RO, Brazil.
Juan I Montoya-BurgosDepartment of Genetics and Evolution, University of Geneva, Geneva, Switzerland.
University of Geneva · CHUniversidade Federal de Rondônia · BRUniversidade Federal de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the processes that drive population genetic divergence in the Amazon is challenging because of the vast scale, the environmental richness and the outstanding biodiversity of the region. We addressed this issue by determining the genetic structure of the widespread Amazonian common sardine fish Triportheus albus (Characidae). We then examined the influence, on this species, of all previously proposed population-structuring factors, including isolation-by-distance, isolation-by-barrier (the Teotônio Falls) and isolation-by-environment using variables that describe floodplain and water characteristics. The population genetics analyses revealed an unusually strong structure with three geographical groups: Negro/Tapajós rivers, Lower Madeira/Central Amazon, and Upper Madeira. Distance-based redundancy analyses showed that the optimal model for explaining the extreme genetic structure contains all proposed structuring factors and accounts for up to 70% of the genetic structure. We further quantified the contribution of each factor via a variance-partitioning analysis. Our results demonstrate that multiple factors, often proposed as individual drivers of population divergence, have acted in conjunction to divide T. albus into three genetic lineages. Because the conjunction of multiple long-standing population-structuring processes may lead to population reproductive isolation, that is, the onset of speciation, we suggest that the multifactorial population-structuring processes highlighted in this study could account for the high speciation rate characterising the Amazon Basin.

Indexed as

AnimalsCharacidaeDNA Barcoding, TaxonomicHaplotypesPhylogenySouth AmericaSpecies Specificity

Identifiers

PMID29261722
PMCPMC5738069
OpenAlexW2781337935

What OpenQuestion holds

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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.