Evidence map›Paper›PMID 35426911›Full record

ArticleGigaScience2022

Standardized genome-wide function prediction enables comparative functional genomics: a new application area for Gene Ontologies in plants.

Leila Fattel, Dennis Psaroudakis, Colleen F Yanarella, Kevin O Chiteri, Haley A Dostalik, Parnal Joshi, Dollye C Starr, Ha Vu, Kokulapalan Wimalanathan, Carolyn J Lawrence-Dill

Open access · goldAbstract read
In one paragraph

Article in GigaScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

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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

10 authors at 1 institution in 1 country.

Leila FattelDepartment of Agronomy, 2104 Agronomy Hall, 716 Farm House Lane Ames, Iowa 50011-1051, USA.ORCID 0000-0001-9806-7534
Dennis PsaroudakisDepartment of Plant Pathology and Microbiology, 1344 Advanced Teaching & Research Bldg, 2213 Pammel Drive, Ames, Iowa 50011, USA.ORCID 0000-0002-7521-798X
Colleen F YanarellaDepartment of Agronomy, 2104 Agronomy Hall, 716 Farm House Lane Ames, Iowa 50011-1051, USA.ORCID 0000-0002-9202-1911
Kevin O ChiteriDepartment of Agronomy, 2104 Agronomy Hall, 716 Farm House Lane Ames, Iowa 50011-1051, USA.ORCID 0000-0001-6067-5569
Haley A DostalikDepartment of Agronomy, 2104 Agronomy Hall, 716 Farm House Lane Ames, Iowa 50011-1051, USA.ORCID 0000-0002-2987-8621
Parnal JoshiDepartment of Veterinary Microbiology and Preventive Medicine, 1800 Christensen Drive, Ames, Iowa 50011-1134, USA.ORCID 0000-0001-6689-3858
Dollye C StarrDepartment of Agronomy, 2104 Agronomy Hall, 716 Farm House Lane Ames, Iowa 50011-1051, USA.ORCID 0000-0003-4394-5306
Ha VuDepartment of Genetics, Development and Cell Biology, 1210 Molecular Biology Building, 2437 Pammel Drive, Ames, Iowa 50011-1079, USA.ORCID 0000-0003-4161-5952
Kokulapalan WimalanathanDepartment of Genetics, Development and Cell Biology, 1210 Molecular Biology Building, 2437 Pammel Drive, Ames, Iowa 50011-1079, USA.ORCID 0000-0001-7811-935X
Carolyn J Lawrence-DillDepartment of Agronomy, 2104 Agronomy Hall, 716 Farm House Lane Ames, Iowa 50011-1051, USA.ORCID 0000-0003-0069-1430
Iowa State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenome-wide gene function annotations are useful for hypothesis generation and for prioritizing candidate genes potentially responsible for phenotypes of interest. We functionally annotated the genes of 18 crop plant genomes across 14 species using the GOMAP pipeline.

resultsBy comparison to existing GO annotation datasets, GOMAP-generated datasets cover more genes, contain more GO terms, and are similar in quality (based on precision and recall metrics using existing gold standards as the basis for comparison). From there, we sought to determine whether the datasets across multiple species could be used together to carry out comparative functional genomics analyses in plants. To test the idea and as a proof of concept, we created dendrograms of functional relatedness based on terms assigned for all 18 genomes. These dendrograms were compared to well-established species-level evolutionary phylogenies to determine whether trees derived were in agreement with known evolutionary relationships, which they largely are. Where discrepancies were observed, we determined branch support based on jackknifing then removed individual annotation sets by genome to identify the annotation sets causing unexpected relationships.

conclusionsGOMAP-derived functional annotations used together across multiple species generally retain sufficient biological signal to recover known phylogenetic relationships based on genome-wide functional similarities, indicating that comparative functional genomics across species based on GO data holds promise for generating novel hypotheses about comparative gene function and traits.

Indexed as

Genome, PlantGenomicsDatabases, GeneticGene OntologyMolecular Sequence AnnotationPhylogenyPlantscomparative genomicsfunctional genomicsgene functionontologyplants

Identifiers

PMID35426911
PMCPMC9012101
OpenAlexW4225919411

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.