Evidence map›Paper›PMID 34410373›Full record

ArticleGenome biology and evolution2021

Demographic History of the Brown Bear (Ursus arctos) on Hokkaido Island, Japan, Based on Whole-Genomic Sequence Analysis.

Yu Endo, Naoki Osada, Tsutomu Mano, Ryuichi Masuda

Open access · goldAbstract read
In one paragraph

Article in Genome biology and evolution, 2021. 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
2.3field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 17 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

4 authors at 2 institutions in 1 country.

Yu EndoDepartment of Natural History Sciences, Graduate School of Science, Hokkaido University, Sapporo, Japan.
Naoki OsadaFaculty of Information Science and Technology, Hokkaido University, Sapporo, Japan.ORCID 0000-0003-0180-5372
Tsutomu ManoInstitute of Environmental Sciences, Hokkaido Research Organization, Sapporo, Japan.
Ryuichi MasudaDepartment of Biological Sciences, Faculty of Science, Hokkaido University, Sapporo, Japan.ORCID 0000-0002-6843-0053
Hokkaido University · JPHokkaido Research Organization · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies of the brown bear (Ursus arctos) on Hokkaido Island, Japan, have detected three geographically distinct subpopulations representing different mitochondrial lineages and shown that gene flow between subpopulations has occurred due to male-biased dispersal. In this study, we determined whole-genomic sequences for six Hokkaido brown bears and analyzed these data along with previously published genomic sequences of 17 brown bears from other parts of the world. We found that the Hokkaido population is genetically distinct from the other populations, keeping genetic diversity higher than the endangered populations in western Europe but lower than most populations on the continents. A reconstruction of historical demography showed no increase in population size for the Hokkaido population during the Eemian interglacial period (130,000-114,000 years ago). In a phylogenetic analysis of the autosomal data, the Hokkaido population formed a clade distinct from North American and European populations, showing that it has maintained genetic diversity independently from continental populations following geographical isolation on the island. This autosomal genetic similarity contrasts with the geographically separate mitochondrial lineages on Hokkaido and indicates the occurrence of male-driven gene flow between subpopulations.

Indexed as

UrsidaeAnimalsDemographyDNA, MitochondrialGenomicsJapanMalePhylogenySequence AnalysisDNA, Mitochondrialadmixtureautosomegenomicsisolation by distancephylogeny

Identifiers

PMID34410373
PMCPMC8449831
OpenAlexW3196262132

What OpenQuestion holds

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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.