Evidence map›Paper›PMID 29381708›Full record

ArticlePloS one2018

RNA-seq transcriptome analysis of the immature seeds of two Brassica napus lines with extremely different thousand-seed weight to identify the candidate genes related to seed weight.

Xinxin Geng, Na Dong, Yuquan Wang, Gan Li, Lijun Wang, Xuejiao Guo, Jiabing Li, Zhaopu Wen, Wenhui Wei

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2018. 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 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 32% 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

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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Meta-analysis of seed weight QTLome using a consensus and highly dense genetic map in Brassica napus L.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Pooled it
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  8. Transcriptomic analysis of rapeseed (Frontiers in plant science · 2022
    Article
  9. Transcriptome Analysis of Seed Weight Plasticity inInternational journal of molecular sciences · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Xinxin GengCollege of Life Science and Technology, Henan Institute of Science and Technology / Collaborative Innovation Center of Modern Biological Breeding, Henan Province, Xinxiang, China.
Na DongCollege of Life Science and Technology, Henan Institute of Science and Technology / Collaborative Innovation Center of Modern Biological Breeding, Henan Province, Xinxiang, China.
Yuquan WangCollege of Life Science and Technology, Henan Institute of Science and Technology / Collaborative Innovation Center of Modern Biological Breeding, Henan Province, Xinxiang, China.
Gan LiCollege of Life Science and Technology, Henan Institute of Science and Technology / Collaborative Innovation Center of Modern Biological Breeding, Henan Province, Xinxiang, China.
Lijun WangOil Crops Research Institute of the Chinese Academy of Agricultural Sciences/Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Wuhan, China.
Xuejiao GuoCollege of Life Science and Technology, Henan Institute of Science and Technology / Collaborative Innovation Center of Modern Biological Breeding, Henan Province, Xinxiang, China.
Jiabing LiCollege of Life Science and Technology, Henan Institute of Science and Technology / Collaborative Innovation Center of Modern Biological Breeding, Henan Province, Xinxiang, China.
Zhaopu WenCollege of Life Science and Technology, Henan Institute of Science and Technology / Collaborative Innovation Center of Modern Biological Breeding, Henan Province, Xinxiang, China.
Wenhui WeiCollege of Life Science and Technology, Henan Institute of Science and Technology / Collaborative Innovation Center of Modern Biological Breeding, Henan Province, Xinxiang, China.ORCID 0000-0001-9533-2937
Henan Institute of Science and Technology · CNChinese Academy of Agricultural Sciences · CNWuhan Institute of Bioengineering · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brassica napus is an important oilseed crop worldwide. Although seed weight is the main determinant of seed yield, few studies have focused on the molecular mechanisms that regulate seed weight in B. napus. In this study, the immature seeds of G-42 and 7-9, two B. napus doubled haploid (DH) lines with extremely different thousand-seed weight (TSW), were selected for a transcriptome analysis to determine the regulatory mechanisms underlying seed weight at the whole gene expression level and to identify candidate genes related to seed weight. A total of 2,251 new genes and 2,205 differentially expressed genes (DEGs) were obtained via RNA-seq (RNA sequencing). Among these genes, 1,747 (77.61%) new genes and 2020 (91.61%) DEGs were successfully annotated. Of these DEGs, 1,118 were up-regulated and 1,087 were down-regulated in the large-seed line. The Kyoto Encyclopedia of Genes and Genomes (KEGG) database analysis indicated that 15 DEGs were involved in ubiquitin-mediated proteolysis and proteasome pathways, which might participate in regulating seed weight. The Gene Ontology (GO) database indicated that 222 DEGs were associated with the biological process or molecular function categories related to seed weight, such as cell division, cell size and cell cycle regulation, seed development, nutrient reservoir activity, and proteasome-mediated ubiquitin-dependent protein catabolic processes. Moreover, 50 DEGs encoding key enzymes or proteins were identified that likely participate in regulating seed weight. A DEG (GSBRNA2T00037121001) identified by the transcriptome analysis was also previously identified in a quantitative trait locus (QTL) region for seed weight via SLAF-seq (Specific Locus Amplified Fragment sequencing). Finally, the expression of 10 DEGs with putative roles in seed weight and the expression of the DEG GSBRNA2T00037121001 were confirmed by a quantitative real-time reverse transcription PCR (qRT-PCR) analysis, and the results were consistent with the RNA sequencing data. This work has provided new insights on the molecular mechanisms underlying seed weight-related biosynthesis and has laid a solid foundation for further improvements to the seed yield of oil crops.

Indexed as

Gene Expression ProfilingSequence Analysis, RNABrassica napusMolecular Sequence AnnotationSeeds

Identifiers

PMID29381708
PMCPMC5790231
OpenAlexW2791487207

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.