Evidence map›Paper›PMID 37047084›Full record

ArticleInternational journal of molecular sciences2023

Comparative Transcriptome and Metabolome Analyses of Broccoli Germplasms with Purple and Green Curds Reveal the Structural Genes and Transitional Regulators Regulating Color Formation.

Shaozhe Wen, Ning Li, Shuhui Song, Ning Liu, Yunhua Ding

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

Corrections and comments

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

5 authors at 1 institution in 1 country.

Shaozhe WenBeijing Vegetable Research Center (National Engineering Research Center for Vegetables), Beijing Academy of Agriculture and Forestry Science, Beijing 100097, China.ORCID 0000-0003-0285-6868
Ning LiBeijing Vegetable Research Center (National Engineering Research Center for Vegetables), Beijing Academy of Agriculture and Forestry Science, Beijing 100097, China.
Shuhui SongInstitute of Agri-food Processing and Nutrition, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.
Ning LiuBeijing Vegetable Research Center (National Engineering Research Center for Vegetables), Beijing Academy of Agriculture and Forestry Science, Beijing 100097, China.
Yunhua DingBeijing Vegetable Research Center (National Engineering Research Center for Vegetables), Beijing Academy of Agriculture and Forestry Science, Beijing 100097, China.
Beijing Academy of Agricultural and Forestry Sciences · CN

Funding

National Key Research and Development Program of China 2022YFF1003000"Young Talent Supporting Program " YCXTD00002-10
6 · The paper itself

Abstract

Owing to the high anthocyanin content, broccoli varieties with purple curds have become more popular in food inventories, while the genetic mechanisms of anthocyanin biosynthesis pathways remain largely unknown. We bred a pair of near-isogenic lines (NILs), GB767 and PB767, whose curds exhibited green and purple colors, respectively, due to the purple sepals of florets. RNA sequencing and widely targeted metabolic analyses were conducted. Compared with GB767, eighteen anthocyanin biosynthesis-related genes exhibited significantly higher expressions in PB767, and in turn, the expression level of

Indexed as

AnthocyaninsBrassicaColorGene Expression ProfilingGene Expression Regulation, PlantMetabolomePlant BreedingTranscriptomeAnthocyaninsanthocyanin biosynthesisbroccoligene expressionmetabolometranscriptome

Identifiers

PMID37047084
PMCPMC10094742
OpenAlexW4360859133

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.