Evidence map›Paper›PMID 30716096›Full record

ArticlePloS one2019

Fine mapping of the major QTL for seed coat color in Brassica rapa var. Yellow Sarson by use of NIL populations and transcriptome sequencing for identification of the candidate genes.

Huiyan Zhao, Urmila Basu, Berisso Kebede, Cunmin Qu, Jiana Li, Habibur Rahman

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Multi-omics analysis reveals the mechanism of seed coat color formation in Brassica rapa L.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Article
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Huiyan ZhaoDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada.
Urmila BasuDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada.
Berisso KebedeDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada.
Cunmin QuChongqing Engineering Research Center for Rapeseed, College of Agronomy and Biotechnology, Southwest University, Beibei, Chongqing, People's Republic of China.
Jiana LiChongqing Engineering Research Center for Rapeseed, College of Agronomy and Biotechnology, Southwest University, Beibei, Chongqing, People's Republic of China.
Habibur RahmanDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada.ORCID 0000-0002-6736-6520

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Yellow seed is a desirable trait in Brassica oilseed crops. The B. rapa var. Yellow Sarson carry unique yellow seed color genes which are not only important for the development of yellow-seeded oilseed B. rapa cultivars but this variant can also be used to develop yellow-seeded B. napus. In this study, we developed near-isogenic lines (NILs) of Yellow Sarson for the major seed coat color QTL SCA9-2 of the chromosome A9 and used the NILs to fine map this QTL region and to identify the candidate genes through linkage mapping and transcriptome sequencing of the developing seeds. From the 18.4 to 22.79 Mb region of SCA9-2, six SSR markers showing 0.63 to 5.65% recombination were developed through linkage analysis and physical mapping. A total of 55 differentially expressed genes (DEGs) were identified in the SCA9-2 region through transcriptome analysis; these included three transcription factors, Bra028039 (NAC), Bra023223 (C2H2 type zinc finger), Bra032362 (TIFY), and several other genes which encode unknown or nucleic acid binding protein; these genes might be the candidates and involved in the regulation of seed coat color in the materials used in this study. Several biosynthetic pathways, including the flavonoid, phenylpropanoid and suberin biosynthetic pathways were significantly enriched through GO and KEGG enrichment analysis of the DEGs. This is the first comprehensive study to understand the yellow seed trait of Yellow Sarson through employing linkage mapping and global transcriptome analysis approaches.

Indexed as

Chromosome MappingQuantitative Trait LociTranscriptomeBrassica napusBrassica rapaGene Expression ProfilingGenes, PlantPhenotypePigmentationPolymorphism, Single NucleotideSeeds

Identifiers

PMID30716096
PMCPMC6361427

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Registered trials

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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.