Evidence map›Paper›PMID 35228913›Full record

ArticleApplications in plant sciences

Reference-free discovery of nuclear SNPs permits accurate, sensitive identification of

Robert A Literman, Brittany M Ott, Jun Wen, L J Grauke, Rachel S Schwartz, Sara M Handy

Abstract read
In one paragraph

Article in Applications in plant sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

  1. Article
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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

6 authors.

Robert A LitermanOffice of Regulatory Science, Center for Food Safety and Applied Nutrition U.S. Food and Drug Administration College Park Maryland USA.
Brittany M OttOffice of Food Additive Safety, Center for Food Safety and Applied Nutrition U.S. Food and Drug Administration College Park Maryland USA.
Jun WenDepartment of Botany, National Museum of Natural History Smithsonian Institution Washington, D.C. USA.
L J GraukeUnited States Department of Agriculture (USDA)-Agricultural Research Service Pecan Breeding and Genetics Somerville Texas USA.
Rachel S SchwartzDepartment of Biological Sciences University of Rhode Island Kingston Rhode Island USA.
Sara M HandyOffice of Regulatory Science, Center for Food Safety and Applied Nutrition U.S. Food and Drug Administration College Park Maryland USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

premiseDNA-based species identification is critical when morphological identification is restricted, but DNA-based identification pipelines typically rely on the ability to compare homologous sequence data across species. Because many clades lack robust genomic resources, we present here a bioinformatics pipeline capable of generating genome-wide single-nucleotide polymorphism (SNP) data while circumventing the need for any reference genome or annotation data.

methodsUsing the SISRS bioinformatics pipeline, we generated de novo ortholog data for the genus

resultsWe identified between 46,000 and 476,000 species-identifying SNPs for each of eight diploid DISCUSSION: Bioinformatics pipelines that use only short-read sequencing data provide vital new tools enabling rapid expansion of DNA identification assays for model and non-model clades alike.

Indexed as

Caryahybridssingle‐nucleotide polymorphisms (SNPs)species identification

Identifiers

PMID35228913
PMCPMC8861591

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Registered trials

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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.