Evidence map›Paper›PMID 29186379›Full record

ArticleDNA research : an international journal for rapid publication of reports on genes and genomes2018

Development of a high-density linkage map and chromosome segment substitution lines for Japanese soybean cultivar Enrei.

Satoshi Watanabe, Takehiko Shimizu, Kayo Machita, Yasutaka Tsubokura, Zhengjun Xia, Tetsuya Yamada, Makita Hajika, Masao Ishimoto, Yuichi Katayose, Kyuya Harada and 1 more

Abstract read
In one paragraph

Article in DNA research : an international journal for rapid publication of reports on genes and genomes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Identification and field validation of QTLs for soybean red crown rot resistance from wild soybean accessions.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  4. Article
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  7. Article
  8. Mapping soybeanBreeding science · 2020
    Article
  9. Article
  10. Impacts of genomic research on soybean improvement in East Asia.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
    Review
  11. Article
  12. Highly multiplexed AmpliSeq technology identifies novel variation of flowering time-related genes in soybean (Glycine max).DNA research : an international journal for rapid publication of reports on genes and genomes · 2019
    Article
  13. Article
  14. Article
  15. Article
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

11 authors.

Satoshi WatanabeSoybean Applied Genomics Research Unit, National Institute of Agrobiological Sciences (NIAS), Tsukuba, Ibaraki 305-8602, Japan.
Takehiko ShimizuSoybean Applied Genomics Research Unit, National Institute of Agrobiological Sciences (NIAS), Tsukuba, Ibaraki 305-8602, Japan.
Kayo MachitaSoybean Applied Genomics Research Unit, National Institute of Agrobiological Sciences (NIAS), Tsukuba, Ibaraki 305-8602, Japan.
Yasutaka TsubokuraSoybean Applied Genomics Research Unit, National Institute of Agrobiological Sciences (NIAS), Tsukuba, Ibaraki 305-8602, Japan.
Zhengjun XiaSoybean Applied Genomics Research Unit, National Institute of Agrobiological Sciences (NIAS), Tsukuba, Ibaraki 305-8602, Japan.
Tetsuya YamadaSoybean Breeding Unit, Institute of Crop Science, NARO, Tsukuba, Ibaraki 305-8517, Japan.
Makita HajikaSoybean Breeding Unit, Institute of Crop Science, NARO, Tsukuba, Ibaraki 305-8517, Japan.
Masao IshimotoSoybean Applied Genomics Research Unit, National Institute of Agrobiological Sciences (NIAS), Tsukuba, Ibaraki 305-8602, Japan.
Yuichi KatayoseSoybean Applied Genomics Research Unit, National Institute of Agrobiological Sciences (NIAS), Tsukuba, Ibaraki 305-8602, Japan.
Kyuya HaradaSoybean Applied Genomics Research Unit, National Institute of Agrobiological Sciences (NIAS), Tsukuba, Ibaraki 305-8602, Japan.
Akito KagaSoybean Applied Genomics Research Unit, National Institute of Agrobiological Sciences (NIAS), Tsukuba, Ibaraki 305-8602, Japan.

Funding

GEORGIA SICKLE CELL DISEASE SURVEILLANCE AND HEALTH PROMOTIONU50DD001010 · DD · GEORGIA STATE DEPARTMENTOF PUBLIC HEALTH · PI FOWLES, TIFFANY · 2012 to 2013
$420k
NCBDD CDC HHS U50 DD001010
6 · The paper itself

Abstract

Using progeny of a cross between Japanese soybean Enrei and Chinese soybean Peking, we developed a high-density linkage map and chromosomal segment substitution lines (CSSLs). The map consists of 2,177 markers with polymorphism information for 32 accessions and provides a detailed genetic framework for these markers. The marker order on the linkage map revealed close agreement with that on the chromosome-scale assembly, Wm82.a2.v1. The differences, especially on Chr. 5 and Chr. 11, in the present map provides information to identify regions in the genome assembly where additional information is required to resolve marker order and assign remaining scaffolds. To cover the entire soybean genome, we used 999 BC3F2 backcross plants and selected 103 CSSLs carrying chromosomal segments from Peking in the genetic background of Enrei. Using these low-genetic-complexity resources, we dissected variation in traits related to flowering, maturity and yield into approximately 50 reproducible quantitative trait loci (QTLs) and evaluated QTLs with small genetic effects as single genetic factors in a uniform genetic background. CSSLs developed in this study may be good starting material for removing the unfavourable characteristics of Peking during pre-breeding and for isolation of genes conferring disease and stress resistance that have not yet been characterized.

Indexed as

Chromosome MappingGenome, PlantPolymorphism, GeneticQuantitative Trait LociGenomicsGlycine maxSequence Analysis, DNA

Identifiers

PMID29186379
PMCPMC5909467

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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.