Evidence map›Paper›PMID 36972450›Full record

ReviewProceedings of the National Academy of Sciences of the United States of America2023

Exploring impact of recombination landscapes on breeding outcomes.

Ruth Epstein, Nikita Sajai, Mateusz Zelkowski, Adele Zhou, Kelly R Robbins, Wojciech P Pawlowski

Abstract readReview
In one paragraph

Review in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Review
  3. Breeding better crops: lessons from the homologous recombination pathway.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Review
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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

6 authors.

Ruth EpsteinSchool of Integrative Plant Science, Cornell University, Ithaca, NY 14853.
Nikita SajaiSchool of Integrative Plant Science, Cornell University, Ithaca, NY 14853.
Mateusz ZelkowskiSchool of Integrative Plant Science, Cornell University, Ithaca, NY 14853.
Adele ZhouSchool of Integrative Plant Science, Cornell University, Ithaca, NY 14853.
Kelly R RobbinsSchool of Integrative Plant Science, Cornell University, Ithaca, NY 14853.
Wojciech P PawlowskiSchool of Integrative Plant Science, Cornell University, Ithaca, NY 14853.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant breeding relies on crossing-over to create novel combinations of alleles needed to confer increased productivity and other desired traits in new varieties. However, crossover (CO) events are rare, as usually only one or two of them occur per chromosome in each generation. In addition, COs are not distributed evenly along chromosomes. In plants with large genomes, which includes most crops, COs are predominantly formed close to chromosome ends, and there are few COs in the large chromosome swaths around centromeres. This situation has created interest in engineering CO landscape to improve breeding efficiency. Methods have been developed to boost COs globally by altering expression of anti-recombination genes and increase CO rates in certain chromosome parts by changing DNA methylation patterns. In addition, progress is being made to devise methods to target COs to specific chromosome sites. We review these approaches and examine using simulations whether they indeed have the capacity to improve efficiency of breeding programs. We found that the current methods to alter CO landscape can produce enough benefits for breeding programs to be attractive. They can increase genetic gain in recurrent selection and significantly decrease linkage drag around donor loci in schemes to introgress a trait from unimproved germplasm to an elite line. Methods to target COs to specific genome sites were also found to provide advantage when introgressing a chromosome segment harboring a desirable quantitative trait loci. We recommend avenues for future research to facilitate implementation of these methods in breeding programs.

Indexed as

Plant BreedingQuantitative Trait LociChromosomes, PlantCrops, AgriculturalPhenotypecropsdiversityplant breedingrecombination

Identifiers

PMID36972450
PMCPMC10083619

What OpenQuestion holds

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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.