Evidence map›Paper›PMID 35412600›Full record

ArticleDNA research : an international journal for rapid publication of reports on genes and genomes2022

MIG-seq is an effective method for high-throughput genotyping in wheat (Triticum spp.).

Kazusa Nishimura, Ko Motoki, Akira Yamazaki, Rihito Takisawa, Yasuo Yasui, Takashi Kawai, Koichiro Ushijima, Ryohei Nakano, Tetsuya Nakazaki

Open access · goldAbstract read
In one paragraph

Article in DNA research : an international journal for rapid publication of reports on genes and genomes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.2field-weighted citation impact, top 7% of its field
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

13 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
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  8. Phenotypic simulation for fruit-related traits in FMolecular genetics and genomics : MGG · 2025
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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

9 authors at 3 institutions in 1 country.

Kazusa NishimuraGraduate School of Agriculture, Kyoto University, Kizugawa City, Kyoto Prefecture 619-0218, Japan.
Ko MotokiGraduate School of Agriculture, Kyoto University, Kizugawa City, Kyoto Prefecture 619-0218, Japan.
Akira YamazakiGraduate School of Agriculture, Kyoto University, Kizugawa City, Kyoto Prefecture 619-0218, Japan.
Rihito TakisawaFaculty of Agriculture, Ryukoku University, Otsu City, Shiga Prefecture 520-2194, Japan.
Yasuo YasuiGraduate School of Agriculture, Kyoto University, Kizugawa City, Kyoto Prefecture 619-0218, Japan.
Takashi KawaiGraduate School of Environmental and Life Science, Okayama University, Okayama City, Okayama Prefecture 700-8530, Japan.
Koichiro UshijimaGraduate School of Environmental and Life Science, Okayama University, Okayama City, Okayama Prefecture 700-8530, Japan.
Ryohei NakanoGraduate School of Agriculture, Kyoto University, Kizugawa City, Kyoto Prefecture 619-0218, Japan.
Tetsuya NakazakiGraduate School of Agriculture, Kyoto University, Kizugawa City, Kyoto Prefecture 619-0218, Japan.ORCID 0000-0002-8381-3319
Kyoto University · JPOkayama University · JPRyukoku University · JP

Funding

Grant-in-Aid for Early-Career Scientists 20K15502Japan Society for the Promotion of Science
6 · The paper itself

Abstract

MIG-seq (Multiplexed inter-simple sequence repeats genotyping by sequencing) has been developed as a low cost genotyping technology, although the number of polymorphisms obtained is assumed to be minimal, resulting in the low application of this technique to analyses of agricultural plants. We applied MIG-seq to 12 plant species that include various crops and investigated the relationship between genome size and the number of bases that can be stably sequenced. The genome size and the number of loci, which can be sequenced by MIG-seq, are positively correlated. This is due to the linkage between genome size and the number of simple sequence repeats (SSRs) through the genome. The applicability of MIG-seq to population structure analysis, linkage mapping, and quantitative trait loci (QTL) analysis in wheat, which has a relatively large genome, was further evaluated. The results of population structure analysis for tetraploid wheat showed the differences among collection sites and subspecies, which agreed with previous findings. Additionally, in wheat biparental mapping populations, over 3,000 SNPs/indels with low deficiency were detected using MIG-seq, and the QTL analysis was able to detect recognized flowering-related genes. These results revealed the effectiveness of MIG-seq for genomic analysis of agricultural plants with large genomes, including wheat.

Indexed as

Quantitative Trait LociTriticumChromosome MappingGenetic LinkageGenome, PlantGenotypePolymorphism, Single NucleotidegenotypingMIG-seqwheat

Identifiers

PMID35412600
PMCPMC9035812
OpenAlexW4223558912

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.