Evidence map›Paper›PMID 32806588›Full record

ArticleGenes2020

Genetic Characterization of Russian Rapeseed Collection and Association Mapping of Novel Loci Affecting Glucosinolate Content.

Rim Gubaev, Lyudmila Gorlova, Stepan Boldyrev, Svetlana Goryunova, Denis Goryunov, Pavel Mazin, Alina Chernova, Elena Martynova, Yakov Demurin, Philipp Khaitovich

Abstract read
In one paragraph

Article in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

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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

10 authors.

Rim GubaevSkolkovo Institute of Science and Technology, Moscow 121205, Russia.ORCID 0000-0003-3290-1703
Lyudmila GorlovaPustovoit All-Russia Research Institute of Oil Crops, Krasnodar 350038, Russia.ORCID 0000-0002-0987-5087
Stepan BoldyrevSkolkovo Institute of Science and Technology, Moscow 121205, Russia.
Svetlana GoryunovaSkolkovo Institute of Science and Technology, Moscow 121205, Russia.
Denis GoryunovSkolkovo Institute of Science and Technology, Moscow 121205, Russia.
Pavel MazinSkolkovo Institute of Science and Technology, Moscow 121205, Russia.
Alina ChernovaSkolkovo Institute of Science and Technology, Moscow 121205, Russia.
Elena MartynovaSkolkovo Institute of Science and Technology, Moscow 121205, Russia.
Yakov DemurinPustovoit All-Russia Research Institute of Oil Crops, Krasnodar 350038, Russia.ORCID 0000-0003-3903-020X
Philipp KhaitovichSkolkovo Institute of Science and Technology, Moscow 121205, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapeseed is the second most common oilseed crop worldwide. While the start of rapeseed breeding in Russia dates back to the middle of the 20th century, its widespread cultivation began only recently. In contrast to the world's rapeseed genetic variation, the genetic composition of Russian rapeseed lines remained unexplored. We have addressed this question by performing genome-wide genotyping of 90 advanced rapeseed accessions provided by the All-Russian Research Institute of Oil Crops (VNIIMK). Genome-wide genetic analysis demonstrated a clear difference between Russian rapeseed varieties and the rapeseed varieties from the rest of the world, including the European ones, indicating that rapeseed breeding in Russia proceeded in its own independent direction. Hence, genetic determinants of agronomical traits might also be different in Russian rapeseed lines. To assess it, we collected the glucosinolate content data for the same 90 genotyped accessions obtained during three years and performed an association mapping of this trait. We indeed found that the loci significantly associated with glucosinolate content variation in the Russian rapeseed collection differ from those previously reported for the non-Russian rapeseed lines.

Indexed as

Chromosome MappingQuantitative Trait, HeritableQuantitative Trait LociBrassica napusComputational BiologyGenetic Association StudiesGenetics, PopulationGenetic VariationGenotypeGlucosinolatesMolecular Sequence AnnotationPhenotypePlant BreedingPolymorphism, Single NucleotideSeedsGlucosinolatesassociation mappinggenetic diversitygenotyping-by-sequencingglucosinolatespopulation structurerapeseed

Identifiers

PMID32806588
PMCPMC7465703

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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.