Comprehensive genomic resources related to domestication and crop improvement traits in Lima bean.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
29 01 2021
Historique:
received: 20 10 2020
accepted: 22 12 2020
entrez: 30 1 2021
pubmed: 31 1 2021
medline: 20 2 2021
Statut: epublish

Résumé

Lima bean (Phaseolus lunatus L.), one of the five domesticated Phaseolus bean crops, shows a wide range of ecological adaptations along its distribution range from Mexico to Argentina. These adaptations make it a promising crop for improving food security under predicted scenarios of climate change in Latin America and elsewhere. In this work, we combine long and short read sequencing technologies with a dense genetic map from a biparental population to obtain the chromosome-level genome assembly for Lima bean. Annotation of 28,326 gene models show high diversity among 1917 genes with conserved domains related to disease resistance. Structural comparison across 22,180 orthologs with common bean reveals high genome synteny and five large intrachromosomal rearrangements. Population genomic analyses show that wild Lima bean is organized into six clusters with mostly non-overlapping distributions and that Mesomerican landraces can be further subdivided into three subclusters. RNA-seq data reveal 4275 differentially expressed genes, which can be related to pod dehiscence and seed development. We expect the resources presented here to serve as a solid basis to achieve a comprehensive view of the degree of convergent evolution of Phaseolus species under domestication and provide tools and information for breeding for climate change resiliency.

Identifiants

pubmed: 33514713
doi: 10.1038/s41467-021-20921-1
pii: 10.1038/s41467-021-20921-1
pmc: PMC7846787
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

702

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Auteurs

Tatiana Garcia (T)

Departamento de Agronomía, Facultad de Ciencias Agrarias, Universidad Nacional de Colombia, Bogotá, Colombia.
Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI, USA.

Jorge Duitama (J)

Systems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia. ja.duitama@uniandes.edu.co.

Stephanie Smolenski Zullo (SS)

Department of Plant Sciences/MS1, University of California, Davis, CA, USA.

Juanita Gil (J)

Systems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia.
Department of Entomology and Plant Pathology, University of Arkansas, Fayetteville, AR, USA.

Andrea Ariani (A)

Department of Plant Sciences/MS1, University of California, Davis, CA, USA.
BASF BBCC - Innovation Center, Gent, Belgium.

Sarah Dohle (S)

Department of Plant Sciences/MS1, University of California, Davis, CA, USA.

Antonia Palkovic (A)

Department of Plant Sciences/MS1, University of California, Davis, CA, USA.

Paola Skeen (P)

Departamento de Agronomía, Facultad de Ciencias Agrarias, Universidad Nacional de Colombia, Bogotá, Colombia.
Nunhems USA, Vegetable Seeds BASF, Acampo, CA, USA.

Clara Isabel Bermudez-Santana (CI)

Departamento de Biología, Facultad de Ciencias, Universidad Nacional de Colombia, Bogotá, Colombia.

Daniel G Debouck (DG)

Centro Internacional de Agricultura Tropical, Cali, Colombia.

Jaime Martínez-Castillo (J)

Centro de Investigación Científica de Yucatán, Yucatán, Mexico.

Paul Gepts (P)

Department of Plant Sciences/MS1, University of California, Davis, CA, USA.

Maria Isabel Chacón-Sánchez (MI)

Departamento de Agronomía, Facultad de Ciencias Agrarias, Universidad Nacional de Colombia, Bogotá, Colombia. michacons@unal.edu.co.

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