Evidence map›Paper›PMID 29879895›Full record

ArticleBMC evolutionary biology2018

The inference of gray whale (Eschrichtius robustus) historical population attributes from whole-genome sequences.

Anna Brüniche-Olsen, Rick Westerman, Zuzanna Kazmierczyk, Vladimir V Vertyankin, Celine Godard-Codding, John W Bickham, J Andrew DeWoody

Open access · goldAbstract read
In one paragraph

Article in BMC evolutionary biology, 2018. 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
2.5field-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, 22 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

7 authors at 5 institutions in 4 countries.

Anna Brüniche-OlsenDepartment of Forestry & Natural Resources, Purdue University, West Lafayette, IN, 47905, USA. abruenic@purdue.edu.ORCID 0000-0002-3364-2064
Rick WestermanDepartment of Horticulture & Landscape Architecture, Purdue University, West Lafayette, IN, 47907, USA.
Zuzanna KazmierczykSchool of Forensic and Applied Sciences, University of Central Lancashire Preston, Preston, PR1 2HE, UK.
Vladimir V VertyankinKronotsky State Nature Biosphere Reserve, Elizovo, Kamchatka, 684010, Russia.
Celine Godard-CoddingThe Institute of Environmental and Human Health, Department of Environmental Toxicology, Texas Tech University, 1207 Gilbert Drive, Lubbock, TX, 79409, USA.
John W BickhamDepartment of Wildlife & Fisheries Sciences, Texas A&M University, College Station, TX, 77843, USA.
J Andrew DeWoodyDepartment of Forestry & Natural Resources, Purdue University, West Lafayette, IN, 47905, USA.
Purdue University West Lafayette · USKronotsky Reserve · RUTexas A&M University · USTexas Tech University · USUniversity of Lancashire · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCommercial whaling caused extensive demographic declines in many great whale species, including gray whales that were extirpated from the Atlantic Ocean and dramatically reduced in the Pacific Ocean. The Eastern Pacific gray whale has recovered since the 1982 ban on commercial whaling, but the Western Pacific gray whale-once considered possibly extinct-consists of only about 200 individuals and is considered critically endangered by some international authorities. Herein, we use whole-genome sequencing to investigate the demographic history of gray whales from the Pacific and use environmental niche modelling to make predictions about future gene flow.

resultsOur sequencing efforts and habitat niche modelling indicate that: i) western gray whale effective population sizes have declined since the last glacial maximum; ii) contemporary gray whale genomes, both eastern and western, harbor less autosomal nucleotide diversity than most other marine mammals and megafauna; iii) the extent of inbreeding, as measured by autozygosity, is greater in the Western Pacific than in the Eastern Pacific populations; and iv) future climate change is expected to open new migratory routes for gray whales.

conclusionOur results indicate that gray whale genomes contain low nucleotide diversity and have been subject to both historical and recent inbreeding. Population sizes over the last million years likely peaked about 25,000 years before present and have declined since then. Our niche modelling suggests that novel migratory routes may develop within the next century and if so this could help retain overall genetic diversity, which is essential for adaption and successful recovery in light of global environmental change and past exploitation.

Indexed as

GenomeAnimalsAtlantic OceanBase SequenceCluster AnalysisEcosystemGenetic VariationGeographyHomozygoteInbreedingPacific OceanPopulation DensityStatistics as TopicWhalesAdmixtureCetaceanDemographic historyRelatednessRuns-of-homozygosity

Identifiers

PMID29879895
PMCPMC5992727
OpenAlexW2805913839

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.