Evidence map›Paper›PMID 42374877›Full record

ArticleThe plant genome2026

Validation of the International Weed Genomics Consortium genome annotation pipeline through reannotation of the model species Arabidopsis thaliana.

Luan Cutti, Daniel Fernando da Silva Filho, Geisson Edwin Guadir Lara, Jessica Matheson, Nicholas A Johnson, Jacob Montgomery, Nathan Hall, Brent Murphy, Todd A Gaines, Eric L Patterson

Abstract readValidation Study
In one paragraph

Article in The plant genome, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Luan CuttiDepartment of Plant, Soil, and Microbial Sciences, Michigan State University, East Lansing, Michigan, USA.ORCID https://orcid.org/0000-0002-2867-7158
Daniel Fernando da Silva FilhoDepartment of Biological Sciences, São Paulo State University, Bauru, São Paulo, Brazil.ORCID https://orcid.org/0000-0001-7663-2715
Geisson Edwin Guadir LaraDepartment of Plant, Soil, and Microbial Sciences, Michigan State University, East Lansing, Michigan, USA.ORCID https://orcid.org/0000-0003-2721-0537
Jessica MathesonDepartment of Biology, University of Massachusetts Amherst, Amherst, Massachusetts, USA.ORCID https://orcid.org/0009-0007-0190-561X
Nicholas A JohnsonDepartment of Plant, Soil, and Microbial Sciences, Michigan State University, East Lansing, Michigan, USA.ORCID https://orcid.org/0000-0001-7272-6474
Jacob MontgomeryDepartment of Plant, Soil, and Microbial Sciences, Michigan State University, East Lansing, Michigan, USA.ORCID https://orcid.org/0009-0001-7898-7971
Nathan HallDepartment of Plant, Soil, and Microbial Sciences, Michigan State University, East Lansing, Michigan, USA.
Brent MurphyBASF SE, Agricultural Research Station, Limburgerhof, Germany.
Todd A GainesDepartment of Agricultural Biology, Colorado State University, Fort Collins, Colorado, USA.ORCID https://orcid.org/0000-0003-1485-7665
Eric L PattersonDepartment of Plant, Soil, and Microbial Sciences, Michigan State University, East Lansing, Michigan, USA.ORCID https://orcid.org/0000-0001-7111-6287

Funding

BASFBayerCorteva AgriscienceFoundation for Food and Agriculture Research DSnew-0000000024Syngenta International
6 · The paper itself

Abstract

The International Weed Genomics Consortium (IWGC) has sequenced and annotated the genomes of over 30 weed species, generating genomic resources to understand their biology, evolution, and adaptation. The objective of this study was to evaluate the semi-automated, isoform sequencing (Iso-seq)-based, IWGC genome annotation pipeline by reannotating the genome of the model species Arabidopsis thaliana with various amounts and types of extrinsic data and to measure the impact that varying inputs had on the annotation completeness and quality. Annotations were run comparing the effects of (1) the quantity and source of Iso-seq reads, (2) annotated proteins from botanically closely related or distantly related species, and (3) the number of proteins provided to the annotation program "MAKER-P." Reannotations were compared to each other and to the published annotation of the A. thaliana genome. The IWGC annotation pipeline annotated almost all the genes without manual curation when informed with an Iso-seq dataset and proteins of related species. In general, the pipeline produced more accurate, annotated genes with more input proteins, especially from closely related species, in the gene model prediction step. Furthermore, the combination of proteins from several closely related species increased the number of annotated genes. The number or source of Iso-seq reads did not have a significant effect if many proteins from closely related species were utilized. The annotation pipeline annotated nearly 90% of genes from additional crop species genomes. The IWGC genome annotation pipeline is robust in reannotating the A. thaliana genome and therefore is most likely performing well in the several non-model weed species it has been used on so far.

Indexed as

ArabidopsisGenome, PlantGenomicsMolecular Sequence AnnotationPlant Weeds

Identifiers

PMID42374877
PMCPMC13316137

What OpenQuestion holds

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Registered trials

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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.