Evidence map›Paper›PMID 27193593›Full record

ReviewPlant cell reports2016

Genome engineering and plant breeding: impact on trait discovery and development.

Fabien Nogué, Kostlend Mara, Cécile Collonnier, Josep M Casacuberta

Abstract readReview
In one paragraph

Review in Plant cell reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Biotechnological Advances to Improve Abiotic Stress Tolerance in Crops.International journal of molecular sciences · 2022
    Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Insights into deployment of DNA markers in plant variety protection and registration.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019
    Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Toward an Evolved Concept of Landrace.Frontiers in plant science · 2017
    Article
  18. Review
  19. 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

4 authors.

Fabien NoguéINRA AgroParisTech, IJPB, UMR 1318, INRA Centre de Versailles, Route de Saint Cyr, 78026, Versailles Cedex, France. fabien.nogue@versailles.inra.fr.
Kostlend MaraINRA AgroParisTech, IJPB, UMR 1318, INRA Centre de Versailles, Route de Saint Cyr, 78026, Versailles Cedex, France.
Cécile CollonnierINRA AgroParisTech, IJPB, UMR 1318, INRA Centre de Versailles, Route de Saint Cyr, 78026, Versailles Cedex, France.
Josep M CasacubertaCenter for Research in Agricultural Genomics, CRAG (CSIC-IRTA-UAB-UB), Campus UAB, Cerdanyola del Vallès, 08193, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

key messageNew tools for the precise modification of crops genes are now available for the engineering of new ideotypes. A future challenge in this emerging field of genome engineering is to develop efficient methods for allele mining. Genome engineering tools are now available in plants, including major crops, to modify in a predictable manner a given gene. These new techniques have a tremendous potential for a spectacular acceleration of the plant breeding process. Here, we discuss how genetic diversity has always been the raw material for breeders and how they have always taken advantage of the best available science to use, and when possible, increase, this genetic diversity. We will present why the advent of these new techniques gives to the breeders extremely powerful tools for crop breeding, but also why this will require the breeders and researchers to characterize the genes underlying this genetic diversity more precisely. Tackling these challenges should permit the engineering of optimized alleles assortments in an unprecedented and controlled way.

Indexed as

Crops, AgriculturalGenes, PlantGenetic EngineeringGenetic VariationGenome, PlantPhenotypePlant BreedingPlants, Genetically ModifiedQuantitative Trait LociGenetic diversityGenome engineeringPlant breedingQTLsSite-directed nucleases

Identifiers

PMID27193593
PMCPMC4903109

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.