Evidence map›Paper›PMID 28765985›Full record

ReviewTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2017

Translational genomics of grain size regulation in wheat.

Wanlong Li, Bing Yang

Abstract readReview
PubMed Publisher
In one paragraph

Review in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Article
  2. Article
  3. Non-additive dosage-dependent effects of TaGS3 gene editing on grain size and weight in wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  4. Article
  5. Introgression of chromosome 5P from Agropyron cristatum enhances grain weight in a wheat background.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
  6. A novel variation ofMolecular breeding : new strategies in plant improvement · 2024
    Article
  7. Article
  8. Meta-QTL mapping for wheat thousand kernel weight.Frontiers in plant science · 2024
    Article
  9. Article
  10. Article
  11. HSP90.2 promotes COPlant biotechnology journal · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  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

2 authors.

Wanlong LiDepartment of Biology and Microbiology, South Dakota State University, Brookings, SD, 57007, USA. Wanlong.li@sdstate.edu.ORCID http://orcid.org/0000-0001-5886-1426
Bing YangDepartment of Genetics, Development and Cell Biology, Iowa State University, Ames, IA, 50011, USA.

Funding

National Institute of Food and Agriculture 2016-06712
6 · The paper itself

Abstract

key messageIdentifying and mapping grain size candidate genes in the wheat genome greatly empowers reverse genetics approaches to improve grain yield potential of wheat. Grain size (GS) or grain weight is believed to be a major driving force for further improvement of wheat yield. Although the large, polyploid genome of wheat poses an obstacle to identifying GS determinants using map-based cloning, a translational genomics approach using GS regulators identified in the model plants rice and Arabidopsis as candidate genes appears to be effective and supports a hypothesis that a conserved genetic network regulates GS in rice and wheat. In this review, we summarize the progress in the studies on GS in the model plants and wheat and identify 45 GS candidate loci in the wheat genome. In silico mapping of these GS loci in the diploid wheat and barley genomes showed (1) several gene families amplified in the wheat lineage, (2) a significant number of the GS genes located in the proximal regions surrounding the centromeres, and (3) more than half of candidate genes to be negative regulators, or their expression negatively related by microRNAs. Identifying and mapping the wheat GS gene homologs will not only facilitate candidate gene analysis, but also open the door to improving wheat yield using reverse genetics approaches by mining desired alleles in landraces and wild ancestors and to developing novel germplasm by TILLING and genome editing technologies.

Indexed as

Genes, PlantChromosome MappingDiploidyEdible GrainPlant BreedingPolyploidyQuantitative Trait LociReverse GeneticsSeedsTriticum

Identifiers

What OpenQuestion holds

Textmetadata
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.