Evidence map›Paper›PMID 26593040›Full record

ReviewPlant biotechnology journal2016

Towards plant pangenomics.

Agnieszka A Golicz, Jacqueline Batley, David Edwards

Abstract readReview
In one paragraph

Review in Plant biotechnology journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 122 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
122citing papers in PubMed, 2 pooled it
–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

122 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. AlleleMiner: a long-read pipeline for gene-wise de novo allele phasing and variant detection in diploid citrus cultivars.DNA research : an international journal for rapid publication of reports on genes and genomes · 2026
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  10. Review
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  16. GrameneOryza: a comprehensive resource for Oryza genomes, genetic variation, and functional data.Database : the journal of biological databases and curation · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. Article

62 more citing papers are in PubMed but not listed here.

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.

Agnieszka A GoliczSchool of Agriculture and Food Sciences, University of Queensland, St. Lucia, QLD, Australia.
Jacqueline BatleySchool of Agriculture and Food Sciences, University of Queensland, St. Lucia, QLD, Australia.
David EdwardsSchool of Agriculture and Food Sciences, University of Queensland, St. Lucia, QLD, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As an increasing number of genome sequences become available for a wide range of species, there is a growing understanding that the genome of a single individual is insufficient to represent the gene diversity within a whole species. Many studies examine the sequence diversity within genes, and this allelic variation is an important source of phenotypic variation which can be selected for by man or nature. However, the significant gene presence/absence variation that has been observed within species and the impact of this variation on traits is only now being studied in detail. The sum of the genes for a species is termed the pangenome, and the determination and characterization of the pangenome is a requirement to understand variation within a species. In this review, we explore the current progress in pangenomics as well as methods and approaches for the characterization of pangenomes for a wide range of plant species.

Indexed as

Genome, PlantArabidopsisGenomicsGlycine maxZea maysCNVcopy number variationgene diversitypangenomePAVpresence absence variation

Identifiers

PMID26593040
PMCPMC11388911

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.