Evidence map›Paper›PMID 37221547›Full record

ArticleBiotechnology for biofuels and bioproducts2023

New insight into the genetic basis of oil content based on noninvasive three-dimensional phenotyping and tissue-specific transcriptome in Brassica napus.

Liangxing Guo, Hongbo Chao, Yongtai Yin, Huaixin Li, Hao Wang, Weiguo Zhao, Dalin Hou, Libin Zhang, Chunyu Zhang, Maoteng Li

Open access · goldAbstract read
In one paragraph

Article in Biotechnology for biofuels and bioproducts, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 18% of its field
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

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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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
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  5. The Dynamic Changes ofPlants (Basel, Switzerland) · 2024
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  6. Transcriptome Shock in Developing Embryos of aInternational journal of molecular sciences · 2023
    Article
4 · The record

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5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Liangxing Guo *Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
Hongbo Chao *Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
Yongtai Yin *Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
Huaixin LiDepartment of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
Hao WangHybrid Rapeseed Research Center of Shaanxi Province, Shaanxi Rapeseed Branch of National Centre for Oil Crops Genetic Improvement, Yangling, 712100, China.
Weiguo ZhaoDepartment of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
Dalin HouDepartment of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
Libin ZhangDepartment of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
Chunyu ZhangNational Key Lab of Crop Genetic Improvement and College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China. zhchy@mail.hzau.edu.cn.
Maoteng LiDepartment of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China. limaoteng426@hust.edu.cn.
Huazhong University of Science and Technology · CNHuazhong Agricultural University · CNHybrid Rapeseed Research Center of Shaanxi Province · CN

Funding

National Key Research and Development Program 2022YFD1200402National Natural Science Foundation of China 31871656
6 · The paper itself

Abstract

backgroundIncreasing seed oil content is the most important breeding goal in Brassica napus, and phenotyping is crucial to dissect its genetic basis in crops. To date, QTL mapping for oil content has been based on whole seeds, and the lipid distribution is far from uniform in different tissues of seeds in B. napus. In this case, the phenotype based on whole seeds was unable to sufficiently reveal the complex genetic characteristics of seed oil content.

resultsHere, the three-dimensional (3D) distribution of lipid was determined for B. napus seeds by magnetic resonance imaging (MRI) and 3D quantitative analysis, and ten novel oil content-related traits were obtained by subdividing the seeds. Based on a high-density genetic linkage map, 35 QTLs were identified for 4 tissues, the outer cotyledon (OC), inner cotyledon (IC), radicle (R) and seed coat (SC), which explained up to 13.76% of the phenotypic variation. Notably, 14 tissue-specific QTLs were reported for the first time, 7 of which were novel. Moreover, haplotype analysis showed that the favorable alleles for different seed tissues exhibited cumulative effects on oil content. Furthermore, tissue-specific transcriptomes revealed that more active energy and pyruvate metabolism influenced carbon flow in the IC, OC and R than in the SC at the early and middle seed development stages, thus affecting the distribution difference in oil content. Combining tissue-specific QTL mapping and transcriptomics, 86 important candidate genes associated with lipid metabolism were identified that underlie 19 unique QTLs, including the fatty acid synthesis rate-limiting enzyme-related gene CAC2, in the QTLs for OC and IC.

conclusionsThe present study provides further insight into the genetic basis of seed oil content at the tissue-specific level.

Indexed as

Brassica napusLipid distributionMagnetic resonance imaging (MRI)Oil contentThree-dimensional (3D) phenotypingTissue-specific QTLsTissue-specific transcriptome

Identifiers

PMID37221547
PMCPMC10207806
OpenAlexW4377940321

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LicenceCC BY
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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.