Evidence map›Paper›PMID 32903549›Full record

ArticleFrontiers in plant science2020

Combining a New Exome Capture Panel With an Effective varBScore Algorithm Accelerates BSA-Based Gene Cloning in Wheat.

Chunhao Dong, Lichao Zhang, Zhongxu Chen, Chuan Xia, Yongqiang Gu, Jirui Wang, Danping Li, Zhencheng Xie, Qiang Zhang, Xueying Zhang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
8.6field-weighted citation impact, top 3% 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

29 citing papers in PubMed, 62 citations in OpenAlex.

  1. A terminal deletion in wheat chromosome arm 3BS contains gene YrJ262 conferring adult plant resistance to stripe rust.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
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  8. Identification of stripe rust resistance gene YrBDT in Chinese landrace wheat Baidatou using BSE-seq and BSR-seq.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
  9. A novel regulator of wheat tilleringMolecular breeding : new strategies in plant improvement · 2024
    Article
  10. Identification of candidate genes for adult plant stripe rust resistance transferred from Aegilops ventricosa 2NTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
  11. Article
  12. Genome-Wide Association Study of Preharvest Sprouting in Wheat.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  13. Mapping QTL conferring flag leaf senescence in durum wheat cultivars.Molecular breeding : new strategies in plant improvement · 2023
    Article
  14. Genetic mapping and analysis of candidate leaf color genes in common winter wheat (Molecular breeding : new strategies in plant improvement · 2023
    Article
  15. Article
  16. Identification of a suppressor for the wheat stripe rust resistance gene Yr81 in Chinese wheat landrace Dahongpao.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Article
  17. Article
  18. Article
  19. Agronomic Trait Analysis and Genetic Mapping of a New Wheat Semidwarf GeneInternational journal of molecular sciences · 2022
    Article
  20. 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

13 authors at 4 institutions in 2 countries.

Chunhao DongKey Laboratory for Crop Gene Resources and Germplasm Enhancement, MOA, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Lichao ZhangKey Laboratory for Crop Gene Resources and Germplasm Enhancement, MOA, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Zhongxu ChenDepartment of Life Science, Chengdu Tcuni Technology, Chengdu, China.
Chuan XiaKey Laboratory for Crop Gene Resources and Germplasm Enhancement, MOA, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Yongqiang GuWestern Regional Research, United States Department of Agriculture-Agricultural Research Service, Albany, CA, United States.
Jirui WangState Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, China.
Danping LiKey Laboratory for Crop Gene Resources and Germplasm Enhancement, MOA, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Zhencheng XieKey Laboratory for Crop Gene Resources and Germplasm Enhancement, MOA, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Qiang ZhangKey Laboratory for Crop Gene Resources and Germplasm Enhancement, MOA, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Xueying ZhangKey Laboratory for Crop Gene Resources and Germplasm Enhancement, MOA, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Lixuan GuiDepartment of Life Science, Chengdu Tcuni Technology, Chengdu, China.
Xu LiuKey Laboratory for Crop Gene Resources and Germplasm Enhancement, MOA, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Xiuying KongKey Laboratory for Crop Gene Resources and Germplasm Enhancement, MOA, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Institute of Crop Sciences · CNChinese Academy of Agricultural Sciences · CNSichuan Agricultural University · CNWestern Regional Research Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The discovery of functional genes underlying agronomic traits is of great importance for wheat improvement. Here we designed a new wheat exome capture probe panel based on IWGSC RefSeq v1.0 genome sequence information and developed an effective algorithm, varBScore, that can sufficiently reduce the background noise in gene mapping and identification. An effective method, termed bulked segregant exome capture sequencing (BSE-Seq) for identifying causal mutations or candidate genes was established by combining the use of a newly designed wheat exome capture panel, sequencing of bulked segregant pools from segregating populations, and the robust algorithm varBScore. We evaluated the effectiveness of varBScore on SNP calling using the published dataset for mapping and cloning the yellow rust resistance gene

Indexed as

bulked segregant analysisCRISPR/Cas9gene cloningvarBScorewheat exome captureyellow-green leaf mutant

Identifiers

PMID32903549
PMCPMC7438552
OpenAlexW3048832994

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.