Evidence map›Paper›PMID 24908249›Full record

ArticleNature genetics2014

A reference genome for common bean and genome-wide analysis of dual domestications.

Jeremy Schmutz, Phillip E McClean, Sujan Mamidi, G Albert Wu, Steven B Cannon, Jane Grimwood, Jerry Jenkins, Shengqiang Shu, Qijian Song, Carolina Chavarro and 31 more

Open access · hybridAbstract read
In one paragraph

Article in Nature genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 618 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
618citing papers in PubMed, 2 pooled it
169.9field-weighted citation impact, top 1% 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

618 citing papers in PubMed, 2 syntheses or guidelines pooled it, 1,342 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Chloroplast Genome Sequence of Snap Bean (International journal of molecular sciences · 2026
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  11. Genomic reconstruction of upland cotton domestication uncovers staged selection, gene flow, and flowering-time adaptation.Proceedings of the National Academy of Sciences of the United States of America · 2026
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558 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

41 authors at 13 institutions in 2 countries.

Jeremy Schmutz1] US Department of Energy Joint Genome Institute, Walnut Creek, California, USA. [2] HudsonAlpha Institute for Biotechnology, Huntsville, Alabama, USA. [3].
Phillip E McClean1] Department of Plant Sciences, North Dakota State University, Fargo, North Dakota, USA. [2].
Sujan MamidiDepartment of Plant Sciences, North Dakota State University, Fargo, North Dakota, USA.
G Albert WuUS Department of Energy Joint Genome Institute, Walnut Creek, California, USA.
Steven B CannonCorn Insects and Crop Genetics Research Unit, US Department of Agriculture-Agricultural Research Service, Ames, Iowa, USA.ORCID 0000000327778034
Jane GrimwoodHudsonAlpha Institute for Biotechnology, Huntsville, Alabama, USA.
Jerry JenkinsHudsonAlpha Institute for Biotechnology, Huntsville, Alabama, USA.
Shengqiang ShuUS Department of Energy Joint Genome Institute, Walnut Creek, California, USA.
Qijian SongSoybean Genomics and Improvement Laboratory, US Department of Agriculture-Agricultural Research Service, Beltsville, Maryland, USA.
Carolina ChavarroCenter for Applied Genetic Technologies, University of Georgia, Athens, Georgia, USA.
Mirayda Torres-TorresCenter for Applied Genetic Technologies, University of Georgia, Athens, Georgia, USA.
Valerie Geffroy1] CNRS, Université Paris-Sud, Institut de Biologie des Plantes, UMR 8618, Saclay Plant Sciences (SPS), Orsay, France. [2] Institut National de la Recherche Agronomique (INRA), Université Paris-Sud, Unité Mixte de Recherche de Génétique Végétale, Gif-sur-Yvette, France.
Samira Mafi MoghaddamDepartment of Plant Sciences, North Dakota State University, Fargo, North Dakota, USA.
Dongying GaoCenter for Applied Genetic Technologies, University of Georgia, Athens, Georgia, USA.
Brian AbernathyCenter for Applied Genetic Technologies, University of Georgia, Athens, Georgia, USA.
Kerrie BarryUS Department of Energy Joint Genome Institute, Walnut Creek, California, USA.
Matthew BlairDepartment of Agricultural and Natural Sciences, Tennessee State University, Nashville, Tennessee, USA.
Mark A BrickDepartment of Soil and Crop Sciences, Colorado State University, Fort Collins, Colorado, USA.
Mansi ChovatiaUS Department of Energy Joint Genome Institute, Walnut Creek, California, USA.
Paul GeptsDepartment of Plant Sciences, University of California, Davis, Davis, California, USA.ORCID 0000000210564665
David M GoodsteinUS Department of Energy Joint Genome Institute, Walnut Creek, California, USA.
Michael GonzalesCenter for Applied Genetic Technologies, University of Georgia, Athens, Georgia, USA.
Uffe HellstenUS Department of Energy Joint Genome Institute, Walnut Creek, California, USA.
David L Hyten1] Soybean Genomics and Improvement Laboratory, US Department of Agriculture-Agricultural Research Service, Beltsville, Maryland, USA. [2].
Gaofeng JiaSoybean Genomics and Improvement Laboratory, US Department of Agriculture-Agricultural Research Service, Beltsville, Maryland, USA.
James D KellyDepartment of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, Michigan, USA.
Dave KudrnaArizona Genomics Institute, University of Arizona, Tucson, Arizona, USA.
Rian LeeDepartment of Plant Sciences, North Dakota State University, Fargo, North Dakota, USA.
Manon M S RichardCNRS, Université Paris-Sud, Institut de Biologie des Plantes, UMR 8618, Saclay Plant Sciences (SPS), Orsay, France.
Phillip N MiklasVegetable and Forage Crop Research Unit, US Department of Agriculture-Agricultural Research Service, Prosser, Washington, USA.
Juan M OsornoDepartment of Plant Sciences, North Dakota State University, Fargo, North Dakota, USA.
Josiane Rodrigues1] Soybean Genomics and Improvement Laboratory, US Department of Agriculture-Agricultural Research Service, Beltsville, Maryland, USA. [2].
Vincent ThareauCNRS, Université Paris-Sud, Institut de Biologie des Plantes, UMR 8618, Saclay Plant Sciences (SPS), Orsay, France.
Carlos A UrreaPanhandle Research and Extension Center, University of Nebraska, Scottsbluff, Nebraska, USA.
Mei WangUS Department of Energy Joint Genome Institute, Walnut Creek, California, USA.
Yeisoo YuArizona Genomics Institute, University of Arizona, Tucson, Arizona, USA.
Ming ZhangUS Department of Energy Joint Genome Institute, Walnut Creek, California, USA.
Rod A WingArizona Genomics Institute, University of Arizona, Tucson, Arizona, USA.
Perry B CreganSoybean Genomics and Improvement Laboratory, US Department of Agriculture-Agricultural Research Service, Beltsville, Maryland, USA.
Daniel S RokhsarUS Department of Energy Joint Genome Institute, Walnut Creek, California, USA.
Scott A JacksonCenter for Applied Genetic Technologies, University of Georgia, Athens, Georgia, USA.
Joint Genome Institute · USUniversity of Georgia · USNorth Dakota State University · USUnited States Department of Agriculture · USAgricultural Research Service · USUniversité Paris-Sud · FRUniversity of Arizona · USHudsonAlpha Institute for Biotechnology · USColorado State University · USMichigan State University · USTennessee State University · USUniversity of California, Davis · USWestern Nebraska Community College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Common bean (Phaseolus vulgaris L.) is the most important grain legume for human consumption and has a role in sustainable agriculture owing to its ability to fix atmospheric nitrogen. We assembled 473 Mb of the 587-Mb genome and genetically anchored 98% of this sequence in 11 chromosome-scale pseudomolecules. We compared the genome for the common bean against the soybean genome to find changes in soybean resulting from polyploidy. Using resequencing of 60 wild individuals and 100 landraces from the genetically differentiated Mesoamerican and Andean gene pools, we confirmed 2 independent domestications from genetic pools that diverged before human colonization. Less than 10% of the 74 Mb of sequence putatively involved in domestication was shared by the two domestication events. We identified a set of genes linked with increased leaf and seed size and combined these results with quantitative trait locus data from Mesoamerican cultivars. Genes affected by domestication may be useful for genomics-enabled crop improvement.

Indexed as

Genes, PlantGenome, PlantQuantitative Trait LociCentral AmericaChromosome MappingChromosomes, PlantCrops, AgriculturalHumansMolecular Sequence DataPhaseolusPlant LeavesPloidiesPolymorphism, Single NucleotideReference StandardsSeedsSequence Analysis, DNA

Identifiers

PMID24908249
PMCPMC7048698
OpenAlexW2021044098

What OpenQuestion holds

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LicenceCC BY-NC-SA
Read underepoch 390

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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.