Evidence map›Paper›PMID 34568920›Full record

ArticleG3 (Bethesda, Md.)2021

Leveraging histone modifications to improve genome annotations.

John Pablo Mendieta, Alexandre P Marand, William A Ricci, Xuan Zhang, Robert J Schmitz

Open access · goldAbstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.9field-weighted citation impact, top 27% of its field
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

12 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Enhancers associated with unstable RNAs are rare in plants.bioRxiv : the preprint server for biology · 2023
    Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Green plant genomes: What we know in an era of rapidly expanding opportunities.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  12. 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

5 authors at 1 institution in 1 country.

John Pablo MendietaDepartment of Genetics, University of Georgia, Athens, GA 30602, USA.
Alexandre P MarandDepartment of Genetics, University of Georgia, Athens, GA 30602, USA.ORCID 0000-0001-9100-8320
William A RicciDepartment of Plant Biology, University of Georgia, Athens, GA 30602, USA.
Xuan ZhangDepartment of Genetics, University of Georgia, Athens, GA 30602, USA.
Robert J SchmitzDepartment of Genetics, University of Georgia, Athens, GA 30602, USA.ORCID 0000-0001-7538-6663
University of Georgia · US

Funding

T32 Predoctoral training grant in geneticsT32GM007103 · NIGMS · UNIVERSITY OF GEORGIA (UGA) · PI DYER, KELLY A · 1985 to 2021
$5.9M
NIGMS NIH HHS T32 GM007103
6 · The paper itself

Abstract

Accurate genome annotations are essential to modern biology; however, they remain challenging to produce. Variation in gene structure and expression across species, as well as within an organism, make correctly annotating genes arduous; an issue exacerbated by pitfalls in current in silico methods. These issues necessitate complementary approaches to add additional confidence and rectify potential misannotations. Integration of epigenomic data into genome annotation is one such approach. In this study, we utilized sets of histone modification data, which are precisely distributed at either gene bodies or promoters to evaluate the annotation of the Zea mays genome. We leveraged these data genome wide, allowing for identification of annotations discordant with empirical data. In total, 13,159 annotation discrepancies were found in Z. mays upon integrating data across three different tissues, which were corroborated using RNA-based approaches. Upon correction, genes were extended by an average of 2128 base pairs, and we identified 2529 novel genes. Application of this method to five additional plant genomes identified a series of misannotations, as well as identified novel genes, including 13,836 in Asparagus officinalis, 2724 in Setaria viridis, 2446 in Sorghum bicolor, 8631 in Glycine max, and 2585 in Phaseolous vulgaris. This study demonstrates that histone modification data can be leveraged to rapidly improve current genome annotations across diverse plant lineages.

Indexed as

Histone CodeSorghumGenome, PlantMolecular Sequence AnnotationZea maysepigenomicsgenome annotationhistone modificationmaizeplant genomes

Identifiers

PMID34568920
PMCPMC8473982
OpenAlexW3186686668

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.