Evidence map›Paper›PMID 29801464›Full record

ArticleBMC plant biology2018

Genomic analyses of unique carbohydrate and phytohormone metabolism in the macroalga Gracilariopsis lemaneiformis (Rhodophyta).

Xue Sun, Jun Wu, Guangce Wang, Yani Kang, Hong Sain Ooi, Tingting Shen, Fangjun Wang, Rui Yang, Nianjun Xu, Xiaodong Zhao

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Article
  3. Identification of Indicator Genes for Agar Accumulation inInternational journal of molecular sciences · 2024
    Article
  4. Article
  5. Article
  6. The Genome of the Marine AlgaInternational journal of molecular sciences · 2022
    Article
  7. Article
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

10 authors at 4 institutions in 2 countries.

Xue SunKey Laboratory of Marine Biotechnology of Zhejiang Province, School of Marine Sciences, Ningbo University, Ningbo, 315211, People's Republic of China.
Jun WuSchool of Biomedical Engineering, Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, 200240, People's Republic of China.
Guangce WangInstitute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, People's Republic of China.
Yani KangKey Laboratory of Marine Biotechnology of Zhejiang Province, School of Marine Sciences, Ningbo University, Ningbo, 315211, People's Republic of China.
Hong Sain OoiDepartment of Biomedicine, Aarhus University, 8000, Aarhus C, Denmark.
Tingting ShenSchool of Biomedical Engineering, Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, 200240, People's Republic of China.
Fangjun WangKey Laboratory of Marine Biotechnology of Zhejiang Province, School of Marine Sciences, Ningbo University, Ningbo, 315211, People's Republic of China.
Rui YangKey Laboratory of Marine Biotechnology of Zhejiang Province, School of Marine Sciences, Ningbo University, Ningbo, 315211, People's Republic of China.
Nianjun XuKey Laboratory of Marine Biotechnology of Zhejiang Province, School of Marine Sciences, Ningbo University, Ningbo, 315211, People's Republic of China. xunianjun@nbu.edu.cn.ORCID http://orcid.org/0000-0002-0628-4687
Xiaodong ZhaoSchool of Biomedical Engineering, Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, 200240, People's Republic of China. xiaodongzhao@sjtu.edu.cn.
Ningbo University · CNShanghai Jiao Tong University · CNAarhus University · DKChinese Academy of Sciences · CN

Funding

National Natural Science Foundation of China 31672674National Natural Science Foundation of China 41376151Natural Science Foundation of Zhejiang (CN) Z17D060001Science and Technology Support Program of Ningbo (CN) 2017D10019
6 · The paper itself

Abstract

backgroundRed algae are economically valuable for food and in industry. However, their genomic information is limited, and the genomic data of only a few species of red algae have been sequenced and deposited recently. In this study, we annotated a draft genome of the macroalga Gracilariopsis lemaneiformis (Gracilariales, Rhodophyta).

resultsThe entire 88.98 Mb genome of Gp. lemaneiformis 981 was generated from 13,825 scaffolds (≥500 bp) with an N50 length of 30,590 bp, accounting for approximately 91% of this algal genome. A total of 38.73 Mb of scaffold sequences were repetitive, and 9281 protein-coding genes were predicted. A phylogenomic analysis of 20 genomes revealed the relationship among the Chromalveolata, Rhodophyta, Chlorophyta and higher plants. Homology analysis indicated phylogenetic proximity between Gp. lemaneiformis and Chondrus crispus. The number of enzymes related to the metabolism of carbohydrates, including agar, glycoside hydrolases, glycosyltransferases, was abundant. In addition, signaling pathways associated with phytohormones such as auxin, salicylic acid and jasmonates are reported for the first time for this alga.

conclusionWe sequenced and analyzed a draft genome of the red alga Gp. lemaneiformis, and revealed its carbohydrate metabolism and phytohormone signaling characteristics. This work will be helpful in research on the functional and comparative genomics of the order Gracilariales and will enrich the genomic information on marine algae.

Indexed as

Signal TransductionCarbohydrate MetabolismCyclopentanesGene OntologyGenome, PlantGenomicsIndoleacetic AcidsOxylipinsPhylogenyPlant Growth RegulatorsRhodophytaSalicylic AcidSeaweedCyclopentanesIndoleacetic Acidsjasmonic acidOxylipinsPlant Growth RegulatorsSalicylic AcidCarbohydrate metabolismGenomic analysisGracilariopsis lemaneiformisPhytohormone signaling

Identifiers

PMID29801464
PMCPMC5970526
OpenAlexW2804931409

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LicenceCC BY
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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.