Evidence map›Paper›PMID 26463202›Full record

ArticleInsects2015

Identification of Eastern United States Reticulitermes Termite Species via PCR-RFLP, Assessed Using Training and Test Data.

Ryan C Garrick, Benjamin D Collins, Rachel N Yi, Rodney J Dyer, Chaz Hyseni

Abstract read
In one paragraph

Article in Insects, 2015. 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

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

4 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

5 authors.

Ryan C GarrickDepartment of Biology, University of Mississippi, Oxford, MS 38677, USA. rgarrick@olemiss.edu.
Benjamin D CollinsDepartment of Biology, University of Mississippi, Oxford, MS 38677, USA. bcollins@uams.edu.
Rachel N YiDepartment of Biology, University of Mississippi, Oxford, MS 38677, USA. ryi@umc.edu.
Rodney J DyerDepartment of Biology, Virginia Commonwealth University, Richmond, VA 23284, USA. rjdyer@vcu.edu.
Chaz HyseniDepartment of Biology, University of Mississippi, Oxford, MS 38677, USA. chyseni@go.olemiss.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reticulitermes termites play key roles in dead wood decomposition and nutrient cycling in forests. They also damage man-made structures, resulting in considerable economic loss. In the eastern United States, five species (R. flavipes, R. virginicus, R. nelsonae, R. hageni and R. malletei) have overlapping ranges and are difficult to distinguish morphologically. Here we present a molecular tool for species identification. It is based on polymerase chain reaction (PCR) amplification of a section of the mitochondrial cytochrome oxidase subunit II gene, followed by a three-enzyme restriction fragment length polymorphism (RFLP) assay, with banding patterns resolved via agarose gel electrophoresis. The assay was designed using a large set of training data obtained from a public DNA sequence database, then evaluated using an independent test panel of Reticulitermes from the Southern Appalachian Mountains, for which species assignments were determined via phylogenetic comparison to reference sequences. After refining the interpretive framework, the PCR-RFLP assay was shown to provide accurate identification of four co-occurring species (the fifth species, R. hageni, was absent from the test panel, so accuracy cannot yet be extended to training data). The assay is cost- and time-efficient, and will help improve knowledge of Reticulitermes species distributions.

Indexed as

dead woodIsopteramitochondrial DNAmolecular diagnostics

Identifiers

PMID26463202
PMCPMC4553497

What OpenQuestion holds

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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.