Evidence map›Paper›PMID 34215783›Full record

ArticleScientific reports2021

Linkage mapping and QTL analysis of flowering time in faba bean.

David Aguilar-Benitez, Inés Casimiro-Soriguer, Fouad Maalouf, Ana M Torres

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.0field-weighted citation impact, top 7% 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

17 citing papers in PubMed, 31 citations in OpenAlex.

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  8. Transcriptome Analysis of Stigmas ofPlants (Basel, Switzerland) · 2024
    Article
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  11. Genetic analysis of global faba bean diversity, agronomic traits and selection signatures.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Article
  12. Article
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  15. Mechanisms of Vernalization-Induced Flowering in Legumes.International journal of molecular sciences · 2022
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  17. 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

4 authors at 1 institution in 1 country.

David Aguilar-BenitezÁrea de Genómica y Biotecnología, IFAPA Centro "Alameda del Obispo", Apdo 3092, 14080, Córdoba, Spain.
Inés Casimiro-SoriguerÁrea de Genómica y Biotecnología, IFAPA Centro "Alameda del Obispo", Apdo 3092, 14080, Córdoba, Spain.
Fouad MaaloufInternational Center for Agricultural Research in the Dry Areas (ICARDA), Beirut, Lebanon.
Ana M TorresÁrea de Genómica y Biotecnología, IFAPA Centro "Alameda del Obispo", Apdo 3092, 14080, Córdoba, Spain. anam.torres.romero@juntadeandalucia.es.ORCID 0000-0002-2907-4287
Andalusian Institute of Agricultural and Fisheries Research and Training · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flowering time marks the transition from vegetative to reproductive growth and is key for optimal yield in any crop. The molecular mechanisms controlling this trait have been extensively studied in model plants such as Arabidopsis thaliana and rice. While knowledge on the molecular regulation of this trait is rapidly increasing in sequenced galegoid legume crops, understanding in faba bean remains limited. Here we exploited translational genomics from model legume crops to identify and fine map QTLs linked to flowering time in faba bean. Among the 31 candidate genes relevant for flowering control in A. thaliana and Cicer arietinum assayed, 25 could be mapped in a segregating faba bean RIL population. While most of the genes showed conserved synteny among related legume species, none of them co-localized with the 9 significant QTL regions identified. The FT gene, previously implicated in the control of flowering time in numerous members of the temperate legume clade, mapped close to the most relevant stable and conserved QTL in chromosome V. Interestingly, QTL analysis suggests an important role of epigenetic modifications in faba bean flowering control. The new QTLs and candidate genes assayed here provide a robust framework for further genetic studies and will contribute to the elucidation of the molecular mechanisms controlling this trait.

Indexed as

Chromosome MappingQuantitative Trait LociFlowersPhenotypeVicia faba

Identifiers

PMID34215783
PMCPMC8253854
OpenAlexW3176837857

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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.