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ArticleInternational journal of molecular sciences2020

Genomic Analysis of Vavilov's Historic Chickpea Landraces Reveals Footprints of Environmental and Human Selection.

Alena Sokolkova, Sergey V Bulyntsev, Peter L Chang, Noelia Carrasquilla-Garcia, Anna A Igolkina, Nina V Noujdina, Eric von Wettberg, Margarita A Vishnyakova, Douglas R Cook, Sergey V Nuzhdin and 1 more

Abstract readHistorical Article
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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  4. Hiding in plain sight: Genome-wide recombination and a dynamic accessory genome drive diversity inProceedings of the National Academy of Sciences of the United States of America · 2023
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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Alena SokolkovaDepartment of Applied Mathematics, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia.ORCID 0000-0002-4357-5264
Sergey V BulyntsevFederal Research Centre All-Russian N.I. Vavilov Institute of Plant Genetic Resources (VIR), 190000 St. Petersburg, Russia.
Peter L ChangDornsife College of Letters Arts & Sciences, Program in Molecular and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA.ORCID 0000-0001-7676-7708
Noelia Carrasquilla-GarciaDepartment of Plant Pathology, University of California Davis, Davis, CA 95616, USA.
Anna A IgolkinaDepartment of Applied Mathematics, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia.ORCID 0000-0001-8851-9621
Nina V NoujdinaDepartment of Applied Mathematics, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia.
Eric von WettbergDepartment of Plant and Soil Science, University of Vermont, Burlington, VT 05405, USA.
Margarita A VishnyakovaFederal Research Centre All-Russian N.I. Vavilov Institute of Plant Genetic Resources (VIR), 190000 St. Petersburg, Russia.
Douglas R CookDepartment of Plant Pathology, University of California Davis, Davis, CA 95616, USA.
Sergey V NuzhdinDepartment of Applied Mathematics, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia.
Maria G SamsonovaDepartment of Applied Mathematics, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia.

Funding

Feed the Future Program AID-OAA-A-14-00008Global Crop Diversity Trust CWR14NOR23.3 07RNF 16-16-00007US National Science Foundation Plant Genome Program IOS-1339346
6 · The paper itself

Abstract

A defining challenge of the 21st century is meeting the nutritional demands of the growing human population, under a scenario of limited land and water resources and under the specter of climate change. The Vavilov seed bank contains numerous landraces collected nearly a hundred years ago, and thus may contain 'genetic gems' with the potential to enhance modern breeding efforts. Here, we analyze 407 landraces, sampled from major historic centers of chickpea cultivation and secondary diversification. Genome-Wide Association Studies (GWAS) conducted on both phenotypic traits and bioclimatic variables at landraces sampling sites as extended phenotypes resulted in 84 GWAS hits associated to various regions. The novel haploblock-based test identified haploblocks enriched for single nucleotide polymorphisms (SNPs) associated with phenotypes and bioclimatic variables. Subsequent bi-clustering of traits sharing enriched haploblocks underscored both non-random distribution of SNPs among several haploblocks and their association with multiple traits. We hypothesize that these clusters of pleiotropic SNPs represent co-adapted genetic complexes to a range of environmental conditions that chickpea experienced during domestication and subsequent geographic radiation. Linking genetic variation to phenotypic data and a wealth of historic information preserved in historic seed banks are the keys for genome-based and environment-informed breeding intensification.

Indexed as

Plant BreedingSeedsBiodiversityCicerClimateCluster AnalysisConservation of Natural ResourcesCrops, AgriculturalGenetic Association StudiesGenetic MarkersGenetic VariationGenome, PlantGenotypeGeographyHaplotypesHistory, 20th CenturyGenetic Markersbioclimatic analysischickpeaGBSGWAShaploblockSNP

Identifiers

PMID32486400
PMCPMC7313079

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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.