Evidence map›Paper›PMID 24929792›Full record

ArticleBMC genomics2014

Variation block-based genomics method for crop plants.

Yul Ho Kim, Hyang Mi Park, Tae-Young Hwang, Seuk Ki Lee, Man Soo Choi, Sungwoong Jho, Seungwoo Hwang, Hak-Min Kim, Dongwoo Lee, Byoung-Chul Kim and 17 more

Abstract read
In one paragraph

Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

27 authors.

Yul Ho KimNational Institute of Crop Science, Rural Development Administration, Suwon 441-857, Republic of Korea. kimyuh77@korea.kr.
Hyang Mi Park
Tae-Young Hwang
Seuk Ki Lee
Man Soo Choi
Sungwoong Jho
Seungwoo Hwang
Hak-Min Kim
Dongwoo Lee
Byoung-Chul Kim
Chang Pyo Hong
Yun Sung Cho
Hyunmin Kim
Kwang Ho Jeong
Min Jung Seo
Hong Tai Yun
Sun Lim Kim
Young-Up Kwon
Wook Han Kim
Hye Kyung Chun
Sang Jong Lim
Young-Ah Shin
Ik-Young Choi
Young Sun Kim
Ho-Sung Yoon
Suk-Ha Lee
Sunghoon Lee

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn contrast with wild species, cultivated crop genomes consist of reshuffled recombination blocks, which occurred by crossing and selection processes. Accordingly, recombination block-based genomics analysis can be an effective approach for the screening of target loci for agricultural traits.

resultsWe propose the variation block method, which is a three-step process for recombination block detection and comparison. The first step is to detect variations by comparing the short-read DNA sequences of the cultivar to the reference genome of the target crop. Next, sequence blocks with variation patterns are examined and defined. The boundaries between the variation-containing sequence blocks are regarded as recombination sites. All the assumed recombination sites in the cultivar set are used to split the genomes, and the resulting sequence regions are termed variation blocks. Finally, the genomes are compared using the variation blocks. The variation block method identified recurring recombination blocks accurately and successfully represented block-level diversities in the publicly available genomes of 31 soybean and 23 rice accessions. The practicality of this approach was demonstrated by the identification of a putative locus determining soybean hilum color.

conclusionsWe suggest that the variation block method is an efficient genomics method for the recombination block-level comparison of crop genomes. We expect that this method will facilitate the development of crop genomics by bringing genomics technologies to the field of crop breeding.

Indexed as

Genome, PlantBase SequenceChromosome MappingCrops, AgriculturalGlycine maxPlant ProteinsPolymorphism, Single NucleotidePromoter Regions, GeneticSequence Analysis, DNAPlant Proteins

Identifiers

PMID24929792
PMCPMC4229737

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.