Evidence map›Paper›PMID 27723778›Full record

ArticlePloS one2016

Phylogeography of Partamona rustica (Hymenoptera, Apidae), an Endemic Stingless Bee from the Neotropical Dry Forest Diagonal.

Elder Assis Miranda, Henrique Batalha-Filho, Carlos Congrains, Antônio Freire Carvalho, Kátia Maria Ferreira, Marco Antonio Del Lama

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
  2. Climate-induced distribution dynamics ofEcology and evolution · 2020
    Article
  3. Article
  4. Review
  5. Article
  6. Article
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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

6 authors.

Elder Assis MirandaDepartamento de Genética e Evolução, Universidade Federal de São Carlos, São Carlos, São Paulo, Brazil.ORCID http://orcid.org/0000-0003-4679-3686
Henrique Batalha-FilhoDepartamento de Zoologia, Instituto de Biologia, Universidade Federal da Bahia, Salvador, Bahia, Brazil.
Carlos CongrainsDepartamento de Genética e Evolução, Universidade Federal de São Carlos, São Carlos, São Paulo, Brazil.
Antônio Freire CarvalhoDepartamento de Ciências Biológicas, Universidade Estadual de Santa Cruz, Ilhéus, Bahia, Brazil.
Kátia Maria FerreiraDepartamento de Genética e Evolução, Universidade Federal de São Carlos, São Carlos, São Paulo, Brazil.
Marco Antonio Del LamaDepartamento de Genética e Evolução, Universidade Federal de São Carlos, São Carlos, São Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The South America encompasses the highest levels of biodiversity found anywhere in the world and its rich biota is distributed among many different biogeographical regions. However, many regions of South America are still poorly studied, including its xeric environments, such as the threatened Caatinga and Cerrado phytogeographical domains. In particular, the effects of Quaternary climatic events on the demography of endemic species from xeric habitats are poorly understood. The present study uses an integrative approach to reconstruct the evolutionary history of Partamona rustica, an endemic stingless bee from dry forest diagonal in Brazil, in a spatial-temporal framework. In this sense, we sequenced four mitochondrial genes and genotyped eight microsatellite loci. Our results identified two population groups: one to the west and the other to the east of the São Francisco River Valley (SFRV). These groups split in the late Pleistocene, and the Approximate Bayesian Computation approach and phylogenetic reconstruction indicated that P. rustica originated in the west of the SFRV, subsequently colonising eastern region. Our tests of migration detected reduced gene flow between these groups. Finally, our results also indicated that the inferences both from the genetic data analyses and from the spatial distribution modelling are compatible with historical demographic stability.

Indexed as

Microsatellite RepeatsModels, BiologicalAnimalsBeesBrazilForestsPhylogeography

Identifiers

PMID27723778
PMCPMC5056711

What OpenQuestion holds

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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.