Evidence map›Paper›PMID 29109919›Full record

ArticleApplications in plant sciences2017

The unexpected depths of genome-skimming data: A case study examining Goodeniaceae floral symmetry genes.

Brent A Berger, Jiahong Han, Emily B Sessa, Andrew G Gardner, Kelly A Shepherd, Vincent A Ricigliano, Rachel S Jabaily, Dianella G Howarth

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Article in Applications in plant sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

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14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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  11. Practical considerations for plant phylogenomics.Applications in plant sciences · 2018
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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Brent A BergerDepartment of Biological Sciences, St. John's University, 8000 Utopia Parkway, Queens, New York 11439 USA.
Jiahong HanDepartment of Biological Sciences, St. John's University, 8000 Utopia Parkway, Queens, New York 11439 USA.
Emily B SessaDepartment of Biology, University of Florida, Box 118525, Gainesville, Florida 32611 USA.
Andrew G GardnerDepartment of Biological Sciences, California State University, Stanislaus, One University Circle, Turlock, California 95382 USA.
Kelly A ShepherdWestern Australian Herbarium, Department of Biodiversity, Conservation and Attractions, 17 Dick Perry Avenue, Kensington 6151, Western Australia, Australia.
Vincent A RiciglianoUSDA-ARS Carl Hayden Bee Research Center, 2000 E. Allen Road, Tucson, Arizona 85719 USA.
Rachel S JabailyDepartment of Biology, Rhodes College, 2000 N. Parkway, Memphis, Tennessee 38112 USA.
Dianella G HowarthDepartment of Biological Sciences, St. John's University, 8000 Utopia Parkway, Queens, New York 11439 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

premise of the studyThe use of genome skimming allows systematists to quickly generate large data sets, particularly of sequences in high abundance (e.g., plastomes); however, researchers may be overlooking data in low abundance that could be used for phylogenetic or evo-devo studies. Here, we present a bioinformatics approach that explores the low-abundance portion of genome-skimming next-generation sequencing libraries in the fan-flowered Goodeniaceae.

methodsTwenty-four previously constructed Goodeniaceae genome-skimming Illumina libraries were examined for their utility in mining low-copy nuclear genes involved in floral symmetry, specifically the

resultsOverall Trinity, SOAPdenovo-Trans, and SOAPdenovo implementing lower DISCUSSION: Genome-skimming data sets can provide a significant source of low-copy nuclear gene sequence data that may be used for multiple downstream applications.

Indexed as

CYCLOIDEAfloral symmetrygenome skimmingGoodeniaceae

Identifiers

PMID29109919
PMCPMC5664964

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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.