Evidence map›Paper›PMID 30241487›Full record

ReviewGenome biology2018

Genomic approaches for studying crop evolution.

Mona Schreiber, Nils Stein, Martin Mascher

Abstract readReview
In one paragraph

Review in Genome biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Article
  3. Evolution of Plant Genome Size and Composition.Genomics, proteomics & bioinformatics · 2024
    Review
  4. Review
  5. Epigenetic Changes Occurring in Plant Inbreeding.International journal of molecular sciences · 2023
    Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Building pan-genome infrastructures for crop plants and their use in association genetics.DNA research : an international journal for rapid publication of reports on genes and genomes · 2021
    Review
  15. Review
  16. Review
  17. Review
  18. Cis-regulatory units of grass genomes identified by their DNA methylation.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  19. 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

3 authors.

Mona SchreiberLeibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Corrensstraße 3, 06466, Seeland, Germany.
Nils SteinLeibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Corrensstraße 3, 06466, Seeland, Germany.
Martin MascherLeibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Corrensstraße 3, 06466, Seeland, Germany. mascher@ipk-gatersleben.de.ORCID 0000-0001-6373-6013

Funding

Bundesministerium für Bildung und Forschung (DE) 031B0190A. ú SHAPE.Leibniz-Gemeinschaft SAW-2015-IPK-1
6 · The paper itself

Abstract

Understanding how crop plants evolved from their wild relatives and spread around the world can inform about the origins of agriculture. Here, we review how the rapid development of genomic resources and tools has made it possible to conduct genetic mapping and population genetic studies to unravel the molecular underpinnings of domestication and crop evolution in diverse crop species. We propose three future avenues for the study of crop evolution: establishment of high-quality reference genomes for crops and their wild relatives; genomic characterization of germplasm collections; and the adoption of novel methodologies such as archaeogenetics, epigenomics, and genome editing.

Indexed as

Evolution, MolecularGenomicsCrops, AgriculturalDomestication

Identifiers

PMID30241487
PMCPMC6151037

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.