Evidence map›Paper›PMID 30519409›Full record

ArticleEcology and evolution2018

SSR-seq: Genotyping of microsatellites using next-generation sequencing reveals higher level of polymorphism as compared to traditional fragment size scoring.

Petra Šarhanová, Simon Pfanzelt, Ronny Brandt, Axel Himmelbach, Frank R Blattner

Abstract read
In one paragraph

Article in Ecology and evolution, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Ecology and evolution · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Population Dynamics ofEcology and evolution · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Genome survey and genetic characterization ofFrontiers in plant science · 2023
    Article
  16. Phenotypic and genetic characterization of anFrontiers in plant science · 2023
    Article
  17. Article
  18. The Maternal Donor ofFrontiers in plant science · 2022
    Article
  19. Article
  20. 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.

Petra ŠarhanováLeibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben Germany.ORCID 0000-0002-1006-4003
Simon PfanzeltInstitute of Biology and Environmental Sciences Carl von Ossietzky University Oldenburg Oldenburg Germany.
Ronny BrandtLeibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben Germany.
Axel HimmelbachLeibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben Germany.ORCID 0000-0001-7338-0946
Frank R BlattnerLeibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben Germany.ORCID 0000-0001-7731-7741

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microsatellites (or simple sequence repeats, SSR) are widely used markers in population genetics. Traditionally, genotyping was and still is carried out through recording fragment length. Now, next-generation sequencing (NGS) makes it easy to obtain also sequence information for the loci of interest. This avoids misinterpretations that otherwise could arise due to size homoplasy. Here, an NGS strategy is described that allows to genotype hundreds of individuals at many custom-designed SSR loci simultaneously, combining multiplex PCR, barcoding, and Illumina sequencing. We created three different datasets for which alleles were coded according to (a) length of the repetitive region, (b) total fragment length, and (c) sequence identity, in order to evaluate the eventual benefits from having sequence data at hand, not only fragment length data. For each dataset, genetic diversity statistics, as well as

Indexed as

genotypingmicrosatellitesmultiplex PCRnext‐generation sequencingsingle‐nucleotide polymorphismsize homoplasy

Identifiers

PMID30519409
PMCPMC6262739

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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.