Evidence map›Paper›PMID 41518509›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Comparative Genomics Using GeneDiscoveR: A Toolbox for the Identification of Gene Candidates Associated with Plant Traits.

Atilio O Rausch, Juan Ignacio Tolopka, Tamara M Ledesma, Linzhou Li, Sibo Wang, Shanshan Dong, Yang Liu, Agustín L Arce, Javier E Moreno

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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Atilio O RauschInstituto de Agrobiotecnología del Litoral, Universidad Nacional del Litoral - CONICET, Facultad de Bioquímica y Ciencias Biológicas, Centro Científico Tecnológico CONICET Santa Fe, Santa Fe, Argentina.ORCID https://orcid.org/0000-0002-6769-2510
Juan Ignacio TolopkaInstituto de Agrobiotecnología del Litoral, Universidad Nacional del Litoral - CONICET, Facultad de Bioquímica y Ciencias Biológicas, Centro Científico Tecnológico CONICET Santa Fe, Santa Fe, Argentina.ORCID https://orcid.org/0009-0009-6558-1911
Tamara M LedesmaInstituto de Agrobiotecnología del Litoral, Universidad Nacional del Litoral - CONICET, Facultad de Bioquímica y Ciencias Biológicas, Centro Científico Tecnológico CONICET Santa Fe, Santa Fe, Argentina.ORCID https://orcid.org/0000-0002-5902-7764
Linzhou LiState Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen, China.ORCID https://orcid.org/0000-0003-0799-0900
Sibo WangState Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen, China.
Shanshan DongFairy Lake Botanical Garden, Chinese Academy of Sciences, Shenzhen, China.ORCID https://orcid.org/0000-0002-2557-3361
Yang LiuState Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen, China.ORCID https://orcid.org/0000-0002-5942-839X
Agustín L ArceInstituto de Agrobiotecnología del Litoral, Universidad Nacional del Litoral - CONICET, Facultad de Bioquímica y Ciencias Biológicas, Centro Científico Tecnológico CONICET Santa Fe, Santa Fe, Argentina.ORCID https://orcid.org/0000-0003-3619-3898
Javier E MorenoInstituto de Agrobiotecnología del Litoral, Universidad Nacional del Litoral - CONICET, Facultad de Bioquímica y Ciencias Biológicas, Centro Científico Tecnológico CONICET Santa Fe, Santa Fe, Argentina. javier.moreno@santafe-conicet.gov.ar.ORCID https://orcid.org/0000-0001-9763-5325

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

GeneDiscoveR, a novel R package, facilitates gene discovery in plant traits via comparative genomics. Despite the advancements in plant genome sequencing technologies, gene discovery in model and even more in non-model plants remains challenging. To address this gap, we introduce GeneDiscoveR, which enables the identification of orthogroups linked to specific plant traits or treatment responses. Leveraging extensive genomic data from diverse plant lineages, for instance, liverworts, we showcase its efficacy in identifying trait-specific genes. OrthoFinder defines orthologs, while GeneDiscoveR statistically detects trait-associated orthogroups. Here, we applied GeneDiscoveR to liverwort genomes to find enriched orthogroups in species with oil bodies within specialized cells or with many oil bodies in all cells. Additionally, we used it to identify OGs related to self-incompatibility from Brassicaceae genomes. This bioinformatics pipeline offers insights into plant trait genetics, aiding future gene discovery endeavors.

Indexed as

Computational BiologyGenes, PlantGenome, PlantGenomicsPlantsSoftwareBrassicaceaeHepatophytaQuantitative Trait LociComparative genomicsGene orthologyLiverwortsMapping

Identifiers

PMID41518509

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.