Evidence map›Paper›PMID 40489514›Full record

ArticlePloS one2025

A PCR primer design method for identifying spider mite species using k-mer counting.

Tomoko Matsuda, Hironori Sakamoto, Takumi Kayukawa, Yasuki Kitashima, Toshinori Kozaki, Tetsuo Gotoh

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Tomoko MatsudaResearch and Development Department, Nihon BioData Corporation, Kawasaki, Kanagawa, Japan.ORCID 0000-0002-4709-4302
Hironori SakamotoBiodiversity Division, National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan.
Takumi KayukawaInstitute of Agrobiological Sciences, National Agriculture and Food Research Organization, Tsukuba, Ibaraki, Japan.
Yasuki KitashimaFaculty of Agriculture, Ibaraki University, Ami, Ibaraki, Japan.
Toshinori KozakiFaculty of Agriculture, Ibaraki University, Ami, Ibaraki, Japan.
Tetsuo GotohFaculty of Agriculture, Ibaraki University, Ami, Ibaraki, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using PCR to distinguish closely related species can be difficult because they may have very similar genomes. Advances in bioinformatics make it possible to design PCR primers that are species-specific. In this study, we developed a bioinformatics method for extracting species-specific primer candidate sequences (i.e., unpaired primers that were specific to a single species) from RNA-Seq data sets of 19 species of spider mites (Acari, Tetranychidae). Using k-mer counting, we obtained between 257 and 48,621 species-specific unpaired primer candidates for the 19 species. We then manually obtained a second primer that was also species-specific. The primer pairs were then confirmed to work in the target species and not to work in the non-target species. Finally, species-specific primer pairs were obtained for 17 of the 19 species tested. Such species-specific primers may be used for practical species discrimination by optimizing multiplex PCR. Our primer design method is expected to be applicable to other taxa.

Indexed as

DNA PrimersPolymerase Chain ReactionTetranychidaeAnimalsComputational BiologySpecies SpecificityDNA Primers

Identifiers

PMID40489514
PMCPMC12148119

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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.