Evidence map›Paper›PMID 31075106›Full record

ArticlePloS one2019

Uncovering population structure in the Humboldt penguin (Spheniscus humboldti) along the Pacific coast at South America.

Gisele P M Dantas, Larissa R Oliveira, Amanda M Santos, Mariana D Flores, Daniella R de Melo, Alejandro Simeone, Daniel González-Acuña, Guillermo Luna-Jorquera, Céline Le Bohec, Armando Valdés-Velásquez and 3 more

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 7 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

13 authors at 10 institutions in 6 countries.

Gisele P M DantasPPG Biologia de Vertebrados, Pontifícia Universidade Católica de Minas Gerais, Belo Horizonte, Brazil.ORCID 0000-0001-5282-7577
Larissa R OliveiraUniversidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo, Rio Grande do Sul, Brazil.
Amanda M SantosUniversidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil.
Mariana D FloresUniversidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil.
Daniella R de MeloPPG Biologia de Vertebrados, Pontifícia Universidade Católica de Minas Gerais, Belo Horizonte, Brazil.ORCID 0000-0002-8294-0316
Alejandro SimeoneUniversidad Andrés Bello, Facultad de Ecología y Recursos Naturales, Santiago, Chile.
Daniel González-AcuñaUniversidad de Concepción, Facultad de Ciencias Veterinarias, Chillán, Chile.
Guillermo Luna-JorqueraDepartamento de Biología Marina, Facultad de Ciencias del Mar, Universidad Católica del Norte, Coquimbo, Chile.ORCID 0000-0003-4274-7025
Céline Le BohecUniversité de Strasbourg, Centre National de la Recherche Scientifique (CNRS); Institut Pluridisciplinaire Hubert Curien (IPHC), Strasbourg, France.
Armando Valdés-VelásquezCentro de Investigación para el Desarrollo Integral y Sostenible (CIDIS) and Facultad de Ciencias y Filosofía, Universidad Cayetano Heredia, Lima, Perú.
Marco CardeñaPrograma Punta San Juan (CSA-UPCH), Universidad Peruana Cayetano Heredia, Lima, Perú.
João S MorganteInstituto de Biologia, Universidade de São Paulo (IB-USP), São Paulo, Brazil.
Juliana A ViannaDepartamento de Ecosistemas y Medio Ambiente, Facultad de Agronomía e Ingeniería Forestal, Pontificia Universidad Católica de Chile, Santiago, Chile.
Pontifícia Universidade Católica de Minas Gerais · BRUniversidade Federal de Minas Gerais · BRUniversidad Peruana Cayetano Heredia · PECentre National de la Recherche Scientifique · FRPontificia Universidad Católica de Chile · CLUniversidad Andrés Bello · CLUniversidad Católica del Norte · CLUniversidade de São Paulo · BRUniversidade do Vale do Rio dos Sinos · BRUniversity of Concepción · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The upwelling hypothesis has been proposed to explain reduced or lack of population structure in seabird species specialized in food resources available at cold-water upwellings. However, population genetic structure may be challenging to detect in species with large population sizes, since variation in allele frequencies are more robust under genetic drift. High gene flow among populations, that can be constant or pulses of migration in a short period, may also decrease power of algorithms to detect genetic structure. Penguin species usually have large population sizes, high migratory ability but philopatric behavior, and recent investigations debate the existence of subtle population structure for some species not detected before. Previous study on Humboldt penguins found lack of population genetic structure for colonies of Punta San Juan and from South Chile. Here, we used mtDNA and nuclear markers (10 microsatellites and RAG1 intron) to evaluate population structure for 11 main breeding colonies of Humboldt penguins, covering the whole spatial distribution of this species. Although mtDNA failed to detect population structure, microsatellite loci and nuclear intron detected population structure along its latitudinal distribution. Microsatellite showed significant Rst values between most of pairwise locations (44 of 56 locations, Rst = 0.003 to 0.081) and 86% of individuals were assigned to their sampled colony, suggesting philopatry. STRUCTURE detected three main genetic clusters according to geographical locations: i) Peru; ii) North of Chile; and iii) Central-South of Chile. The Humboldt penguin shows signal population expansion after the Last Glacial Maximum (LGM), suggesting that the genetic structure of the species is a result of population dynamics and foraging colder water upwelling that favor gene flow and phylopatric rate. Our findings thus highlight that variable markers and wide sampling along the species distribution are crucial to better understand genetic population structure in animals with high dispersal ability.

Indexed as

AlgorithmsAnimalsChileConservation of Natural ResourcesDNA, MitochondrialGene FlowGenetic DriftGenetics, PopulationGenotyping TechniquesMicrosatellite RepeatsPeruPopulation DensityPopulation DynamicsSpheniscidaeDNA, Mitochondrial

Identifiers

PMID31075106
PMCPMC6510429
OpenAlexW2944289159

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.