Evidence map›Paper›PMID 30026799›Full record

ArticleEvolutionary applications2018

Theory, practice, and conservation in the age of genomics: The Galápagos giant tortoise as a case study.

Stephen J Gaughran, Maud C Quinzin, Joshua M Miller, Ryan C Garrick, Danielle L Edwards, Michael A Russello, Nikos Poulakakis, Claudio Ciofi, Luciano B Beheregaray, Adalgisa Caccone

Abstract read
In one paragraph

Article in Evolutionary applications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

14 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

10 authors.

Stephen J GaughranDepartment of Ecology and Evolutionary Biology Yale University New Haven CT USA.ORCID 0000-0002-9413-5074
Maud C QuinzinDepartment of Ecology and Evolutionary Biology Yale University New Haven CT USA.
Joshua M MillerDepartment of Ecology and Evolutionary Biology Yale University New Haven CT USA.ORCID 0000-0002-4019-7675
Ryan C GarrickDepartment of Biology University of Mississippi Oxford MS USA.
Danielle L EdwardsLife and Environmental Sciences University of California, Merced Merced CA USA.
Michael A RusselloDepartment of Biology University of British Columbia, Okanagan Campus Kelowna BC Canada.
Nikos PoulakakisDepartment of Biology School of Sciences and Engineering University of Crete Heraklion, Crete Greece.
Claudio CiofiDepartment of Biology University of Florence Sesto Fiorentino (FI) Italy.
Luciano B BeheregarayMolecular Ecology Lab School of Biological Sciences Flinders University Adelaide SA Australia.
Adalgisa CacconeDepartment of Ecology and Evolutionary Biology Yale University New Haven CT USA.

Funding

YALE BIOMEDICAL SUPERCOMPUTER: NEUROSCIENCES10RR019895 · NCRR · YALE UNIVERSITY · PI WILLIAMS, KENNETH ROBERT · 2004 to 2004
$1.6M
High Performance Computing Instrumentation for Yale University Biomedical HPC CenS10RR029676 · NCRR · YALE UNIVERSITY · PI BJORNSON, ROBERT DEAN · 2011 to 2011
$588k
NCRR NIH HHS S10 RR019895NCRR NIH HHS S10 RR029676
6 · The paper itself

Abstract

High-throughput DNA sequencing allows efficient discovery of thousands of single nucleotide polymorphisms (SNPs) in nonmodel species. Population genetic theory predicts that this large number of independent markers should provide detailed insights into population structure, even when only a few individuals are sampled. Still, sampling design can have a strong impact on such inferences. Here, we use simulations and empirical SNP data to investigate the impacts of sampling design on estimating genetic differentiation among populations that represent three species of Galápagos giant tortoises (

Indexed as

Chelonoidisconservationgenomicspopulation structuresampling designsingle nucleotide polymorphism

Identifiers

PMID30026799
PMCPMC6050186

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

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.