Evidence map›Paper›PMID 31222475›Full record

ArticleMolecular genetics and genomics : MGG2019

Genome-wide analysis of spatiotemporal gene expression patterns during floral organ development in Brassica rapa.

Soo In Lee, Muthusamy Muthusamy, Muhammad Amjad Nawaz, Joon Ki Hong, Myung-Ho Lim, Jin A Kim, Mi-Jeong Jeong

Abstract read
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In one paragraph

Article in Molecular genetics and genomics : MGG, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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  3. Comparative transcriptome between male fertile and male sterile alfalfa (Physiology and molecular biology of plants : an international journal of functional plant biology · 2021
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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

7 authors at 1 institution in 2 countries.

Soo In LeeDepartment of Agricultural Biotechnology, National Institute of Agricultural Sciences (NAS), RDA, Jeonju, 54874, Korea. silee@korea.kr.
Muthusamy MuthusamyDepartment of Agricultural Biotechnology, National Institute of Agricultural Sciences (NAS), RDA, Jeonju, 54874, Korea.
Muhammad Amjad NawazDepartment of Agricultural Biotechnology, National Institute of Agricultural Sciences (NAS), RDA, Jeonju, 54874, Korea.
Joon Ki HongDepartment of Agricultural Biotechnology, National Institute of Agricultural Sciences (NAS), RDA, Jeonju, 54874, Korea.
Myung-Ho LimDepartment of Agricultural Biotechnology, National Institute of Agricultural Sciences (NAS), RDA, Jeonju, 54874, Korea.
Jin A KimDepartment of Agricultural Biotechnology, National Institute of Agricultural Sciences (NAS), RDA, Jeonju, 54874, Korea.
Mi-Jeong JeongDepartment of Agricultural Biotechnology, National Institute of Agricultural Sciences (NAS), RDA, Jeonju, 54874, Korea.
National Institute of Agricultural Science and Technology · KR

Funding

National Institute of Agricultural Science,Korea PJ01247202Rural Development Administration, Korea PJ01334002
6 · The paper itself

Abstract

Flowering is a key agronomic trait that directly influences crop yield and quality and serves as a model system for elucidating the molecular basis that controls successful reproduction, adaptation, and diversification of flowering plants. Adequate knowledge of continuous series of expression data from the floral transition to maturation is lacking in Brassica rapa. To unravel the genome expression associated with the development of early small floral buds (< 2 mm; FB2), early large floral buds (2-4 mm; FB4), stamens (STs) and carpels (CPs), transcriptome profiling was carried out with a Br300K oligo microarray. The results showed that at least 6848 known nonredundant genes (30% of the genes of the Br300K) were differentially expressed during the floral transition from vegetative tissues to maturation. Functional annotation of the differentially expressed genes (DEGs) (fold change ≥ 5) by comparison with a close relative, Arabidopsis thaliana, revealed 6552 unigenes (4579 upregulated; 1973 downregulated), including 131 Brassica-specific and 116 functionally known floral Arabidopsis homologs. Additionally, 1723, 236 and 232 DEGs were preferentially expressed in the tissues of STs, FB2, and CPs. These DEGs also included 43 transcription factors, mainly AP2/ERF-ERF, NAC, MADS-MIKC, C2H2, bHLH, and WRKY members. The differential gene expression during flower development induced dramatic changes in activities related to metabolic processes (23.7%), cellular (22.7%) processes, responses to the stimuli (7.5%) and reproduction (1%). A relatively large number of DEGs were observed in STs and were overrepresented by photosynthesis-related activities. Subsequent analysis via semiquantitative RT-PCR, histological analysis performed with in situ hybridization of BrLTP1 and transgenic reporter lines (BrLTP promoter::GUS) of B. rapa ssp. pekinensis supported the spatiotemporal expression patterns. Together, these results suggest that a temporally and spatially regulated process of the selective expression of distinct fractions of the same genome leads to the development of floral organs. Interestingly, most of the differentially expressed floral transcripts were located on chromosomes 3 and 9. This study generated a genome expression atlas of the early floral transition to maturation that represented the flowering regulatory elements of Brassica rapa.

Indexed as

TranscriptomeBrassica rapaCarrier ProteinsFlowersGenome, PlantPhylogenyPlant ProteinsTranscription FactorsCarrier ProteinsPlant ProteinsTranscription FactorsBrassica rapacDNA microarrayDifferential gene expressionFloral organsFlower developmentMADS transcription factors

Identifiers

PMID31222475
OpenAlexW2951746165

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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.