Evidence map›Paper›PMID 35627177›Full record

ArticleGenes2022

Development and Application of a Target Capture Sequencing SNP-Genotyping Platform in Rice.

Chaewon Lee, Kyeong-Seong Cheon, Yunji Shin, Hyoja Oh, Young-Min Jeong, Hoon Jang, Yong-Chan Park, Kyung-Yun Kim, Hang-Chul Cho, Yong-Jae Won and 5 more

Open access · goldAbstract read
In one paragraph

Article in Genes, 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
4.8field-weighted citation impact, top 6% 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, 25 citations in OpenAlex.

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  8. Integrating targeted genetic markers to genotyping-by-sequencing for an ultimate genotyping tool.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
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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

15 authors at 3 institutions in 1 country.

Chaewon LeeDepartment of Agricultural Biotechnology, National Institute of Agricultural Sciences, Rural Development Administration (RDA), Jeonju 54874, Korea.
Kyeong-Seong CheonDivision of Forest Tree Improvement and Biotechnology, Department of Forest Bioresources, National Institute of Forest Science, Suwon 16631, Korea.
Yunji ShinDepartment of Agricultural Biotechnology, National Institute of Agricultural Sciences, Rural Development Administration (RDA), Jeonju 54874, Korea.
Hyoja OhDepartment of Agricultural Biotechnology, National Institute of Agricultural Sciences, Rural Development Administration (RDA), Jeonju 54874, Korea.
Young-Min JeongSeed Industry Promotion Center, Korea Agriculture Technology Promotion Agency (KOAT), Gimje 54324, Korea.
Hoon JangCELEMICS, Seoul 08506, Korea.
Yong-Chan ParkCELEMICS, Seoul 08506, Korea.
Kyung-Yun KimINSILICOGEN, Yongin 16954, Korea.
Hang-Chul ChoINSILICOGEN, Yongin 16954, Korea.
Yong-Jae WonCheorwon Branch, National Institute of Crop Science, Rural Development Administration (RDA), Cheorwon 24010, Korea.
Jeongho BaekDepartment of Agricultural Biotechnology, National Institute of Agricultural Sciences, Rural Development Administration (RDA), Jeonju 54874, Korea.
Young-Soon ChaDepartment of Agricultural Biotechnology, National Institute of Agricultural Sciences, Rural Development Administration (RDA), Jeonju 54874, Korea.
Song-Lim KimDepartment of Agricultural Biotechnology, National Institute of Agricultural Sciences, Rural Development Administration (RDA), Jeonju 54874, Korea.
Kyung-Hwan KimDepartment of Agricultural Biotechnology, National Institute of Agricultural Sciences, Rural Development Administration (RDA), Jeonju 54874, Korea.
Hyeonso JiDepartment of Agricultural Biotechnology, National Institute of Agricultural Sciences, Rural Development Administration (RDA), Jeonju 54874, Korea.
Rural Development Administration · KRInsilicogen (South Korea) · KRKorea Forest Service · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of efficient, robust, and high-throughput SNP genotyping platforms is pivotal for crop genetics and breeding. Recently, SNP genotyping platforms based on target capture sequencing, which is very flexible in terms of the number of SNP markers, have been developed for maize, cassava, and fava bean. We aimed to develop a target capture sequencing SNP genotyping platform for rice. A target capture sequencing panel containing 2565 SNPs, including 1225 SNPs informative for

Indexed as

OryzaGenotypePhylogenyPlant BreedingQuantitative Trait Locigenotypingpreharvest sproutingQTLriceSNPtarget capture sequencing

Identifiers

PMID35627177
PMCPMC9141132
OpenAlexW4224981762

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.