Evidence map›Paper›PMID 23424642›Full record

ArticlePloS one2013

Microsatellites for next-generation ecologists: a post-sequencing bioinformatics pipeline.

Iria Fernandez-Silva, Jonathan Whitney, Benjamin Wainwright, Kimberly R Andrews, Heather Ylitalo-Ward, Brian W Bowen, Robert J Toonen, Erica Goetze, Stephen A Karl

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 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

9 authors.

Iria Fernandez-SilvaHawai'i Institute of Marine Biology, University of Hawai'i, Kāne'ohe, Hawai'i, United States of America. iriafernandezsilva@gmail.com
Jonathan Whitney
Benjamin Wainwright
Kimberly R Andrews
Heather Ylitalo-Ward
Brian W Bowen
Robert J Toonen
Erica Goetze
Stephen A Karl

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microsatellites are the markers of choice for a variety of population genetic studies. The recent advent of next-generation pyrosequencing has drastically accelerated microsatellite locus discovery by providing a greater amount of DNA sequencing reads at lower costs compared to other techniques. However, laboratory testing of PCR primers targeting potential microsatellite markers remains time consuming and costly. Here we show how to reduce this workload by screening microsatellite loci via bioinformatic analyses prior to primer design. Our method emphasizes the importance of sequence quality, and we avoid loci associated with repetitive elements by screening with repetitive sequence databases available for a growing number of taxa. Testing with the Yellowstripe Goatfish Mulloidichthys flavolineatus and the marine planktonic copepod Pleuromamma xiphias we show higher success rate of primers selected by our pipeline in comparison to previous in silico microsatellite detection methodologies. Following the same pipeline, we discover and select microsatellite loci in nine additional species including fishes, sea stars, copepods and octopuses.

Indexed as

EcologySequence AnalysisAnimalsComputational BiologyDatabases, GeneticData MiningFishesGenetic LociMicrosatellite RepeatsStarfish

Identifiers

PMID23424642
PMCPMC3570555

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.