Evidence map›Paper›PMID 30583569›Full record

ArticleGenes2018

Reference Genomes from Distantly Related Species Can Be Used for Discovery of Single Nucleotide Polymorphisms to Inform Conservation Management.

Stephanie J Galla, Natalie J Forsdick, Liz Brown, Marc P Hoeppner, Michael Knapp, Richard F Maloney, Roger Moraga, Anna W Santure, Tammy E Steeves

Abstract read
In one paragraph

Article in Genes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
–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

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  16. Population Genomics of the Critically Endangered Brazilian Merganser.Animals : an open access journal from MDPI · 2023
    Article
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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

9 authors.

Stephanie J GallaSchool of Biological Sciences, University of Canterbury, Christchurch 8140, New Zealand. stephanie.galla@pg.canterbury.ac.nz.
Natalie J ForsdickDepartment of Anatomy, University of Otago, Dunedin 9054, New Zealand. natalie.forsdick@postgrad.otago.ac.nz.
Liz BrownTe Manahuna, Department of Conservation, Twizel 7901, New Zealand. lbrown@doc.govt.nz.
Marc P HoeppnerInstitute of Clinical Molecular Biology, Kiel University, Kiel 24105, Germany. m.hoeppner@ikmb.uni-kiel.de.
Michael KnappDepartment of Anatomy, University of Otago, Dunedin 9054, New Zealand. michael.knapp@otago.ac.nz.
Richard F MaloneyScience and Policy Group, Department of Conservation, Christchurch 8011, New Zealand. rmaloney@doc.govt.nz.
Roger MoragaTea Break Bioinformatics Ltd., Palmerston North, 4144, New Zealand. r.moraga@protonmail.com.
Anna W SantureSchool of Biological Sciences, University of Auckland, Auckland 1142, New Zealand. a.santure@auckland.ac.nz.
Tammy E SteevesSchool of Biological Sciences, University of Canterbury, Christchurch 8140, New Zealand. tammy.steeves@canterbury.ac.nz.

Funding

Ministry for Business Innovation and Employment UOCX1602
6 · The paper itself

Abstract

Threatened species recovery programmes benefit from incorporating genomic data into conservation management strategies to enhance species recovery. However, a lack of readily available genomic resources, including conspecific reference genomes, often limits the inclusion of genomic data. Here, we investigate the utility of closely related high-quality reference genomes for single nucleotide polymorphism (SNP) discovery using the critically endangered kakī/black stilt (

Indexed as

B10Kbirdsconservation genomicsconservation genomics gapSNP discoverythreatened species

Identifiers

PMID30583569
PMCPMC6356778

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.