Evidence map›Paper›PMID 33484244›Full record

ReviewDNA research : an international journal for rapid publication of reports on genes and genomes2021

Building pan-genome infrastructures for crop plants and their use in association genetics.

Murukarthick Jayakodi, Mona Schreiber, Nils Stein, Martin Mascher

Abstract readReview
In one paragraph

Review in DNA research : an international journal for rapid publication of reports on genes and genomes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

55 citing papers in PubMed.

  1. Review
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  5. Accessing crop genetic diversity via pangenomics.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Review
  6. Article
  7. Review
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  9. Genetic and genomic resources for turfgrasses: status, applications, and prospects.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Review
  10. Article
  11. Article
  12. Article
  13. Article
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  17. Article
  18. 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

4 authors.

Murukarthick JayakodiDepartment of Genebank, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Seeland, Germany.
Mona SchreiberDepartment of Genebank, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Seeland, Germany.
Nils SteinDepartment of Genebank, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Seeland, Germany.
Martin MascherDepartment of Genebank, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Seeland, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pan-genomic studies aim at representing the entire sequence diversity within a species to provide useful resources for evolutionary studies, functional genomics and breeding of cultivated plants. Cost reductions in high-throughput sequencing and advances in sequence assembly algorithms have made it possible to create multiple reference genomes along with a catalogue of all forms of genetic variations in plant species with large and complex or polyploid genomes. In this review, we summarize the current approaches to building pan-genomes as an in silico representation of plant sequence diversity and outline relevant methods for their effective utilization in linking structural with phenotypic variation. We propose as future research avenues (i) transcriptomic and epigenomic studies across multiple reference genomes and (ii) the development of user-friendly and feature-rich pan-genome browsers.

Indexed as

Genome, PlantHigh-Throughput Nucleotide SequencingComputational BiologyEpigenomicsGene Expression ProfilingGenetic VariationGenomicsPlantsSequence Analysis, DNASequence Analysis, RNATranscriptomeassociation geneticscrop plantsgenome sequencinggenomicspan-genome

Identifiers

PMID33484244
PMCPMC7934568

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.