Evidence map›Paper›PMID 24586398›Full record

ArticlePloS one2014

RNA-seq analysis of transcriptome and glucosinolate metabolism in seeds and sprouts of broccoli (Brassica oleracea var. italic).

Jinjun Gao, Xinxin Yu, Fengming Ma, Jing Li

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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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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

29 citing papers in PubMed.

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  10. Disclosure of the Molecular Mechanism of Wheat Leaf Spot Disease Caused byInternational journal of molecular sciences · 2019
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  12. Overexpressing the Myrosinase GeneFrontiers in plant science · 2019
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  14. De Novo Transcriptome Sequencing of the Deep-Sea-Derived FungusInternational journal of molecular sciences · 2018
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  17. Frontiers in plant science · 2017
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Jinjun GaoCollege of Life Science, Northeast Agricultural University, Harbin, China.
Xinxin YuCollege of Life Science, Northeast Agricultural University, Harbin, China.
Fengming MaKey Laboratory of Breed Improvement and Physioecology of Cold Region Crops, Northeast Agricultural University, Harbin, China.
Jing LiCollege of Life Science, Northeast Agricultural University, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBroccoli (Brassica oleracea var. italica), a member of Cruciferae, is an important vegetable containing high concentration of various nutritive and functional molecules especially the anticarcinogenic glucosinolates. The sprouts of broccoli contain 10-100 times higher level of glucoraphanin, the main contributor of the anticarcinogenesis, than the edible florets. Despite the broccoli sprouts' functional importance, currently available genetic and genomic tools for their studies are very limited, which greatly restricts the development of this functionally important vegetable.

resultsA total of ∼85 million 251 bp reads were obtained. After de novo assembly and searching the assembled transcripts against the Arabidopsis thaliana and NCBI nr databases, 19,441 top-hit transcripts were clustered as unigenes with an average length of 2,133 bp. These unigenes were classified according to their putative functional categories. Cluster analysis of total unigenes with similar expression patterns and differentially expressed unigenes among different tissues, as well as transcription factor analysis were performed. We identified 25 putative glucosinolate metabolism genes sharing 62.04-89.72% nucleotide sequence identity with the Arabidopsis orthologs. This established a broccoli glucosinolate metabolic pathway with high colinearity to Arabidopsis. Many of the biosynthetic and degradation genes showed higher expression after germination than in seeds; especially the expression of the myrosinase TGG2 was 20-130 times higher. These results along with the previous reports about these genes' studies in Arabidopsis and the glucosinolate concentration in broccoli sprouts indicate the breakdown products of glucosinolates may play important roles in the stage of broccoli seed germination and sprout development.

conclusionOur study provides the largest genetic resource of broccoli to date. These data will pave the way for further studies and genetic engineering of broccoli sprouts and will also provide new insight into the genomic research of this species and its relatives.

Indexed as

TranscriptomeBrassicaCluster AnalysisComputational BiologyDatabases, GeneticGene Expression ProfilingGlucosinolatesHigh-Throughput Nucleotide SequencingMetabolic Networks and PathwaysMolecular Sequence AnnotationSeedsTranscription FactorsGlucosinolatesTranscription Factors

Identifiers

PMID24586398
PMCPMC3937326

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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.