Evidence map›Paper›PMID 33076818›Full record

ArticleBMC plant biology2020

Transcriptomic and metabolomic profiling reveals the effect of LED light quality on morphological traits, and phenylpropanoid-derived compounds accumulation in Sarcandra glabra seedlings.

Dejin Xie, Lingyan Chen, Chengcheng Zhou, Muhammad Waqqas Khan Tarin, Deming Yang, Ke Ren, Tianyou He, Jundong Rong, Yushan Zheng

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

16 citing papers in PubMed, 35 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

9 authors at 1 institution in 1 country.

Dejin XieCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Lingyan ChenCollege of Arts & College of Landscape Architecture, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Chengcheng ZhouCollege of Arts & College of Landscape Architecture, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Muhammad Waqqas Khan TarinCollege of Arts & College of Landscape Architecture, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Deming YangCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Ke RenCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Tianyou HeCollege of Arts & College of Landscape Architecture, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Jundong RongCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Yushan ZhengCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou, 350002, China. zys1960@163.com.
Fujian Agriculture and Forestry University · CN

Funding

Science and Technology Innovation Platform of Fujian province 2008Y2001
6 · The paper itself

Abstract

backgroundSarcandra glabra is an evergreen and traditional Chinese herb with anti-oxidant, anti-bacterial, anti-inflammatory, and anti-tumor effects. Light is one of the most influential factor affecting the growth and quality of herbs. In recent times, the introduction of Light Emission Diode (LED) technology has been widely used for plants in greenhouse. However, the impact of such lights on plant growth and the regulatory mechanism of phenylpropanoid-derived compounds in S. glabra remain unclear.

resultsThe red LED light (RL) substantially increased the plant height and decreased the stem diameter and leaf area relative to the white LED light (WL), while the blue LED light (BL) significantly reduced the height and leaf area of S. glabra. According to transcriptomic profiling, 861, 378, 47, 10,033, 7917, and 6379 differentially expressed genes (DEGs) were identified among the groups of leaf tissue under BL (BY) vs. leaf tissue under RL (RY), BY vs. leaf tissue under WL (WY), RY vs. WY, root tissue under WL (WG) vs. WY, stem tissue under WL (WJ) vs. WG, and WJ vs. WY, respectively. We identified 46 genes encoding for almost all known enzymes involved in phenylpropanoid biosynthesis, e.g., phenylalanine ammonia lyase (PAL), chalcone synthase (CHS), and flavonol synthase (FLS). We found 53 genes encoding R2R3-MYB proteins and bHLH proteins, respectively, where several were related to flavonoids biosynthesis. A total of 454 metabolites were identified based on metabolomic profiling, of which 44, 87, and 296 compounds were differentially produced in WY vs. RY, WY vs. BY, and WY vs. WG. In BY there was a substantial reduction in the production of esculetin, caffeic acid, isofraxidin, and fraxidin, while the yields of quercitrin and kaempferol were significantly up-regulated. In RY, the contents of cryptochlorogenic acid, cinnamic acid, and kaempferol decreased significantly. Besides, in WG, the production of metabolites (e.g. chlorogenic acid, cryptochlorogenic acid, and scopolin) declined, while their yields increased significantly (e.g. esculetin, fraxetin, isofraxidin, and fraxidin).

conclusionThese results provide further insight into the regulatory mechanism of accumulation patterns of phenylpropanoid-derived compounds in S. glabra under various light conditions, allowing optimum breeding conditions to be developed for this plant.

Indexed as

Drugs, Chinese HerbalGenes, PlantLightMagnoliopsidaMetabolomicsPhylogenyPlant ProteinsSeedlingsTranscription FactorsTranscriptomeDrugs, Chinese HerbalPlant ProteinsTranscription FactorsLED lightsMetabolomic profilingPhenylpropanoid biosynthesisSarcandra glabraTranscriptomic profiling

Identifiers

PMID33076818
PMCPMC7574309
OpenAlexW3092720604

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.