Evidence map›Paper›PMID 32676221›Full record

ArticlePeerJ2020

SSREnricher: a computational approach for large-scale identification of polymorphic microsatellites based on comparative transcriptome analysis.

Wei Luo, Qing Wu, Lan Yang, Pengyu Chen, Siqi Yang, Tianzhu Wang, Yan Wang, Zongjun Du

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PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

  1. Development of genome-wide SSR markers throughFrontiers in plant science · 2025
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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

8 authors.

Wei Luo *College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China.
Qing Wu *College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China.ORCID 0000-0002-0871-9840
Lan YangCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China.
Pengyu ChenCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China.
Siqi YangCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China.
Tianzhu WangCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China.
Yan WangCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China.
Zongjun DuCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microsatellite (SSR) markers are the most popular markers for genetic analyses and molecular selective breeding in plants and animals. However, the currently available methods to develop SSRs are relatively time-consuming and expensive. One of the most factors is low frequency of polymorphic SSRs. In this study, we developed a software, SSREnricher, which composes of six core analysis procedures, including SSR mining, sequence clustering, sequence modification, enrichment containing polymorphic SSR sequences, false-positive removal and results output and multiple sequence alignment. After running of transcriptome sequences on this software, a mass of polymorphic SSRs can be identified. The validation experiments showed almost all markers (>90%) that were identified by the SSREnricher as putative polymorphic markers were indeed polymorphic. The frequency of polymorphic SSRs identified by SSREnricher was significantly higher (

Indexed as

Comparative transcriptome analysisMicrosatellitesPolymorphicSequence alignmentSimple sequence repeats

Identifiers

PMID32676221
PMCPMC7335497

What OpenQuestion holds

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LicenceCC BY
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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.