Evidence map›Paper›PMID 32973384›Full record

ArticleZooKeys2020

Genetic characterisation of wild ungulates: successful isolation and analysis of DNA from widely available bones can be cheap, fast and easy.

Elena Buzan, Sandra Potušek, Felicita Urzi, Boštjan Pokorny, Nikica Šprem

Abstract read
In one paragraph

Article in ZooKeys, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Elena BuzanUniversity of Primorska, Faculty of Mathematics, Natural Sciences and Information Technologies, Glagoljaška 8, 6000, Koper, Slovenia University of Primorska Koper Slovenia.ORCID https://orcid.org/0000-0003-0714-5301
Sandra PotušekUniversity of Primorska, Faculty of Mathematics, Natural Sciences and Information Technologies, Glagoljaška 8, 6000, Koper, Slovenia University of Primorska Koper Slovenia.
Felicita UrziUniversity of Primorska, Faculty of Mathematics, Natural Sciences and Information Technologies, Glagoljaška 8, 6000, Koper, Slovenia University of Primorska Koper Slovenia.
Boštjan PokornyEnvironmental Protection College, Trg mladosti 7, 3320, Velenje, Slovenia Environmental Protection College Velenje Slovenia.ORCID https://orcid.org/0000-0002-2981-5516
Nikica ŠpremDepartment of Fisheries, Apiculture, Wildlife Management and Special Zoology, University of Zagreb, Faculty of Agriculture, Svetošimunska cesta 25, 10000, Zagreb, Croatia University of Zagreb Zagreb Croatia.ORCID https://orcid.org/0000-0002-3475-6653

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic characterisation of wild ungulates can be a useful tool in wildlife management and in obtaining a greater understanding of their biological and ecological roles in a wider spatiotemporal context. Different ways of optimising methodologies and reducing the costs of genetic analyses using widely available bone tissues collected within regular hunting allocations were examined. Successful isolation and analysis of DNA from widely available bones can be cheap, fast and easy. In particular, this study explored the possibility of using bones for extracting high quality nuclear DNA for microsatellite analysis. The utility of applying a modified demineralisation process using two commercially available DNA isolation kits, which differ significantly in price, was evaluated. The sample sets included bones and, for comparison, muscle tissues from four wild ungulate species: chamois (

Indexed as

amplification successbonesdemineralisationDNA extractionpopulation geneticsskullswild ungulates

Identifiers

PMID32973384
PMCPMC7483325

What OpenQuestion holds

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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.