Evidence map›Paper›PMID 40646497›Full record

ArticleBMC bioinformatics2025

MKDESIGNER and TASEQ: a set of tools for plant genotyping by targeted amplicon sequencing.

Koki Chigira, Masanori Yamasaki, Taiichiro Ookawa

Abstract read
In one paragraph

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

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Koki ChigiraGraduate School of Agriculture and Life Science, The University of Tokyo, 1-1-1 Yayoi, Bunkyo, Tokyo, 113-8657, Japan. chigirak@g.ecc.u-tokyo.ac.jp.
Masanori YamasakiGraduate School of Science and Technology, Niigata University, 8050 Ikarashi 2-no-cho, Nishi-Ku, Niigata City, Niigata, 950-2181, Japan.
Taiichiro OokawaGraduate School of Agriculture, Tokyo University of Agriculture and Technology, 3-5-8 Saiwai-cho, Fuchu, 183-8509, Tokyo, Japan.

Funding

Japan Science and Technology Agency JPMJPF2104
6 · The paper itself

Abstract

backgroundTargeted amplicon sequencing (TAS) is a high-throughput genotyping method in which markers can be designed at desired positions. However, genotyping by TAS requires a genome-wide primer design and complex post-sequencing analyses, which are difficult for researchers who are not familiar with bioinformatics. There was a demand for an environment where researchers could easily perform data analysis for genotyping by TAS.

resultsIn this study, we developed the primer design tool MKDESIGNER and the post-sequencing analysis tool TASEQ. Using these tools, users can complete the process of primer design for TAS with just three commands, and they can also obtain the files necessary for genetic analysis with just four commands. The strategy of MKDESIGNER is that it designs as many markers as possible and then thins them out to the necessary number. This allows users to design markers that are more evenly distributed. It is also possible to reduce the density of markers around the centromere. We performed genotyping by TAS using these tools and achieved a success rate close to that reported in previous studies (approximately 80%).

conclusionMKDESIGNER and TASEQ contribute to easy implementation of genotyping by TAS in environments where next-generation sequencers are available. They are implemented in Python and are freely available in Bioconda. The source codes are available on GitHub. ( https://github.com/KChigira/mkdesigner , https://github.com/KChigira/taseq ).

Indexed as

Genotyping TechniquesHigh-Throughput Nucleotide SequencingPlantsSequence Analysis, DNASoftwareComputational BiologyDNA PrimersGenotypeDNA PrimersDNA markersGenotypingPost-sequencing analysisPrimer designTargeted amplicon sequencing

Identifiers

PMID40646497
PMCPMC12247248

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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.