Evidence map›Paper›PMID 33050907›Full record

ArticleBMC plant biology2020

Genome-wide association study in accessions of the mini-core collection of mungbean (Vigna radiata) from the World Vegetable Gene Bank (Taiwan).

Alena Sokolkova, Marina Burlyaeva, Tatjana Valiannikova, Margarita Vishnyakova, Roland Schafleitner, Cheng-Ruei Lee, Chau-Ti Ting, Ramakrishnan Madhavan Nair, Sergey Nuzhdin, Maria Samsonova and 1 more

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In one paragraph

Article in BMC plant biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  15. Modeling of Flowering Time inPlants (Basel, Switzerland) · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Alena SokolkovaPeter the Great St. Petersburg Polytechnic University, Department of Applied Mathematics, St. Petersburg, Russia.
Marina BurlyaevaFederal Research Centre All-Russian N.I. Vavilov Institute of Plant Genetic Resources (VIR), St. Petersburg, Russia.
Tatjana ValiannikovaKuban Branch of Federal Research Centre All-Russian N.I. Vavilov Institute of Plant Genetic Resources (VIR), Krasnodar region, Russia.
Margarita VishnyakovaFederal Research Centre All-Russian N.I. Vavilov Institute of Plant Genetic Resources (VIR), St. Petersburg, Russia.
Roland SchafleitnerWorld Vegetable Center, Shanhua, Tainan, 74199, Taiwan.
Cheng-Ruei LeeNational Taiwan University, Taipei, 106, Taiwan.
Chau-Ti TingNational Taiwan University, Taipei, 106, Taiwan.
Ramakrishnan Madhavan NairWorld Vegetable Center, South and Central Asia, ICRISAT Campus, Patancheru, Hyderabad, Telangana, 502324, India.
Sergey NuzhdinPeter the Great St. Petersburg Polytechnic University, Department of Applied Mathematics, St. Petersburg, Russia.
Maria SamsonovaPeter the Great St. Petersburg Polytechnic University, Department of Applied Mathematics, St. Petersburg, Russia. m.g.samsonova@gmail.com.
Eric von WettbergPeter the Great St. Petersburg Polytechnic University, Department of Applied Mathematics, St. Petersburg, Russia. Eric.Bishop-Von-Wettberg@uvm.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMungbean (Vigna radiata (L.) R. Wilczek, or green gram) is important tropical and sub-tropical legume and a rich source of dietary protein and micronutrients. In this study we employ GWAS to examine the genetic basis of variation in several important traits in mungbean, using the mini-core collection established by the World Vegetable Center, which includes 296 accessions that represent the major market classes. This collection has been grown in a common field plot in southern European part of Russia in 2018.

resultsWe used 5041 SNPs in 293 accessions that passed strict filtering for genetic diversity, linkage disequilibrium, population structure and GWAS analysis. Polymorphisms were distributed among all chromosomes, but with variable density. Linkage disequilibrium decayed in approximately 105 kb. Four distinct subgroups were identified within 293 accessions with 70% of accessions attributed to one of the four populations. By performing GWAS on the mini-core collection we have found several loci significantly associated with two important agronomical traits. Four SNPs associated with possibility of maturation in Kuban territory of Southern Russia in 2018 were identified within a region of strong linkage which contains genes encoding zinc finger A20 and an AN1 domain stress-associated protein.

conclusionsThe core collection of mungbean established by the World Vegetable Center is a valuable resource for mungbean breeding. The collection has been grown in southern European part of Russia in 2018 under incidental stresses caused by abnormally hot weather and different photoperiod. We have found several loci significantly associated with color of hypocotyl and possibility of maturation under these stressful conditions. SNPs associated with possibility of maturation localize to a region on chromosome 2 with strong linkage, in which genes encoding zinc finger A20 and AN1 domain stress associated protein (SAP) are located. Phenotyping of WorldVeg collection for maturation traits in temperate climatic locations is important as phenology remains a critical breeding target for mungbean. As demand rises for mungbean, production in temperate regions with shorter growing seasons becomes crucial to keep up with needs. Uncovering SNPs for phenology traits will speed breeding efforts.

Indexed as

Biological Specimen BanksPolymorphism, Single NucleotideGenome-Wide Association StudyLinkage DisequilibriumVignaCore-collectionGWASMungbeanPhenology traitsPhenotypingPopulation structure

Identifiers

PMID33050907
PMCPMC7556912

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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 Socratic graph.