Evidence map›Paper›PMID 32184451›Full record

ArticleScientific reports2020

The Early Peopling of the Philippines based on mtDNA.

Miguel Arenas, Amaya Gorostiza, Juan Miguel Baquero, Elena Campoy, Catarina Branco, Héctor Rangel-Villalobos, Antonio González-Martín

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Article in Scientific reports, 2020. 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
–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

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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.

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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

7 authors.

Miguel ArenasDepartment of Biochemistry, Genetics and Immunology, University of Vigo, Vigo, Spain. marenas@uvigo.es.ORCID http://orcid.org/0000-0002-0516-2717
Amaya GorostizaForensic Genetics and Identification Laboratory, GENOMICA S.A.U. Pharma Mar Group, Madrid, Spain.
Juan Miguel BaqueroCentre for Molecular Biology "Severo Ochoa", Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain.
Elena CampoyDepartment of Biodiversity, Ecology and Evolution, University Complutense of Madrid, Madrid, Spain.
Catarina BrancoDepartment of Biochemistry, Genetics and Immunology, University of Vigo, Vigo, Spain.
Héctor Rangel-VillalobosInstitute of Research in Molecular Genetics, University of Guadalajara (CUCienega-UdeG), Ocotlán, Jalisco, Mexico.
Antonio González-MartínDepartment of Biodiversity, Ecology and Evolution, University Complutense of Madrid, Madrid, Spain.ORCID http://orcid.org/0000-0003-0276-0778

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the efforts made to reconstruct the history of modern humans, there are still poorly explored regions that are key for understanding the phylogeography of our species. One of them is the Philippines, which is crucial to unravel the colonization of Southeast Asia and Oceania but where little is known about when and how the first humans arrived. In order to shed light into this settlement, we collected samples from 157 individuals of the Philippines with the four grandparents belonging to the same region and mitochondrial variants older than 20,000 years. Next, we analyzed the hypervariable I mtDNA region by approximate Bayesian computation based on extensive spatially explicit computer simulations to select among several migration routes towards the Philippines and to estimate population genetic parameters of this colonization. We found that the colonization of the Philippines occurred more than 60,000 years ago, with long-distance dispersal and from both north and south migration routes. Our results also suggest an environmental scenario especially optimal for humans, with large carrying capacity and population growth, in comparison to other regions of Asia. In all, our study suggests a rapid expansion of modern humans towards the Philippines that could be associated with the establisment of maritime technologies and favorable environmental conditions.

Indexed as

Asia, SoutheasternBayes TheoremDNA, MitochondrialFemaleGenetics, PopulationHaplotypesHuman MigrationHumansMalePhilippinesPhylogenyPhylogeographyDNA, Mitochondrial

Identifiers

PMID32184451
PMCPMC7078265

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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.