Evidence map›Paper›PMID 28115317›Full record

ArticleAnnals of botany2017

Demographic stability and high historical connectivity explain the diversity of a savanna tree species in the Quaternary.

Jacqueline S Lima, Mariana P C Telles, Lázaro J Chaves, Matheus S Lima-Ribeiro, Rosane G Collevatti

Abstract read
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Article in Annals of botany, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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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.

Jacqueline S LimaLaboratório de Genética & Biodiversidade, Instituto de Ciências Biológicas, Universidade Federal de Goiás, PO Box 131, 74001-970, Goiânia, Brazil.
Mariana P C TellesLaboratório de Genética & Biodiversidade, Instituto de Ciências Biológicas, Universidade Federal de Goiás, PO Box 131, 74001-970, Goiânia, Brazil.
Lázaro J ChavesEscola de Agronomia, Universidade Federal de Goiás, PO Box 131, 74001-970, Goiânia, Brazil.
Matheus S Lima-RibeiroLaboratório de Macroecologia, Universidade Federal de Goiás, PO Box 03, 75804-020, Jataí, Brazil.
Rosane G CollevattiLaboratório de Genética & Biodiversidade, Instituto de Ciências Biológicas, Universidade Federal de Goiás, PO Box 131, 74001-970, Goiânia, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Cyclic glaciations were frequent throughout the Quaternary and this affected species distribution and population differentiation worldwide. The present study reconstructed the demographic history and dispersal routes of Eugenia dysenterica lineages and investigated the effects of Quaternary climate change on its spatial pattern of genetic diversity. Methods: A total of 333 individuals were sampled from 23 populations and analysed by sequencing four regions of the chloroplast DNA and the internal transcribed spacer of the nuclear DNA. The analyses were performed using a multi-model inference approach based on ecological niche modelling and statistical phylogeography. Key Results: Coalescent simulation showed that population stability through time is the most likely scenario. The palaeodistribution dynamics predicted by the ecological niche models revealed that the species was potentially distributed across a large area, extending over Central-Western Brazil through the last glaciation. The lineages of E. dysenterica dispersed from Central Brazil towards populations at the northern, western and south-eastern regions. A historical refugium through time may have favoured lineage dispersal and the maintenance of genetic diversity. Conclusions: The results suggest that the central region of the Cerrado biome is probably the centre of distribution of E. dysenterica and that the spatial pattern of its genetic diversity may be the outcome of population stability throughout the Quaternary. The lower genetic diversity in populations in the south-eastern Cerrado biome is probably due to local climatic instability during the Quaternary.

Indexed as

BiodiversityEugeniaGrasslandTreesBrazilDemographyDNA, ChloroplastDNA, IntergenicDNA, PlantPhylogeographyDNA, ChloroplastDNA, IntergenicDNA, PlantCerradocoalescent simulationecological niche modellinggenetic diversitypalaeodistributionphylogeography

Identifiers

PMID28115317
PMCPMC5458718

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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.