Evidence map›Paper›PMID 25909041›Full record

ArticleApplications in plant sciences2015

MarkerMiner 1.0: A new application for phylogenetic marker development using angiosperm transcriptomes.

Srikar Chamala, Nicolás García, Grant T Godden, Vivek Krishnakumar, Ingrid E Jordon-Thaden, Riet De Smet, W Brad Barbazuk, Douglas E Soltis, Pamela S Soltis

Abstract read
In one paragraph

Article in Applications in plant sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing 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

62 citing papers in PubMed.

  1. Article
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  7. Global phylogeny and taxonomy of Artemisia.Nature communications · 2025
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  10. PhytoKeys · 2025
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2 more citing papers are in PubMed but not listed here.

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.

Srikar ChamalaDepartment of Biology, University of Florida, Gainesville, Florida, USA.
Nicolás GarcíaDepartment of Biology, University of Florida, Gainesville, Florida, USA ; Florida Museum of Natural History, University of Florida, Gainesville, Florida, USA ; Facultad de Ciencias Forestales y Conservación de la Naturaleza, Universidad de Chile, Santiago, Chile.
Grant T GoddenDepartment of Biology, University of Florida, Gainesville, Florida, USA ; Florida Museum of Natural History, University of Florida, Gainesville, Florida, USA ; Rancho Santa Ana Botanic Garden, Claremont, California, USA.
Vivek KrishnakumarPlant Genomics, J. Craig Venter Institute, Rockville, Maryland, USA.
Ingrid E Jordon-ThadenDepartment of Biology, Bucknell University, Lewisburg, Pennsylvania, USA ; Jepson and University Herbaria, University of California, Berkeley, Berkeley, California, USA.
Riet De SmetDepartment of Plant Systems Biology, Vlaams Instituut voor Biotechnologie, 9052 Ghent, Belgium ; Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium.
W Brad BarbazukDepartment of Biology, University of Florida, Gainesville, Florida, USA ; Genetics Institute, University of Florida, Gainesville, Florida, USA.
Douglas E SoltisDepartment of Biology, University of Florida, Gainesville, Florida, USA ; Florida Museum of Natural History, University of Florida, Gainesville, Florida, USA ; Genetics Institute, University of Florida, Gainesville, Florida, USA.
Pamela S SoltisFlorida Museum of Natural History, University of Florida, Gainesville, Florida, USA ; Genetics Institute, University of Florida, Gainesville, Florida, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

premise of the studyTargeted sequencing using next-generation sequencing (NGS) platforms offers enormous potential for plant systematics by enabling economical acquisition of multilocus data sets that can resolve difficult phylogenetic problems. However, because discovery of single-copy nuclear (SCN) loci from NGS data requires both bioinformatics skills and access to high-performance computing resources, the application of NGS data has been limited. METHODS AND

resultsWe developed MarkerMiner 1.0, a fully automated, open-access bioinformatic workflow and application for discovery of SCN loci in angiosperms. Our new tool identified as many as 1993 SCN loci from transcriptomic data sampled as part of four independent test cases representing marker development projects at different phylogenetic scales.

conclusionsMarkerMiner is an easy-to-use and effective tool for discovery of putative SCN loci. It can be run locally or via the Web, and its tabular and alignment outputs facilitate efficient downstream assessments of phylogenetic utility, locus selection, intron-exon boundary prediction, and primer or probe development.

Indexed as

data miningintronsmarker developmentnext-generation sequencingphylogeneticssingle-copy nuclear genestranscriptomes

Identifiers

PMID25909041
PMCPMC4406834

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LicenceCC BY-NC
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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.